83 boulevard Vincent Auriol (83-85) 75013 Paris
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Quantitative Supply Chain SoftwareSource : Twitter
Quantitative supply chains are the future: where every possible future gets a probability, where every possible decision gets an economic score, and where control is given back to management thanks to extensive automation. Lokad's goal is to make this future a reality. We help companies do more with their supply chains, their inventories and their production capacities than classical methods would ever allow. Our technology combines big data and machine learning. Our teams deliver the supply chain expertise.Source : Youtube
Take a quantitative control over your supply chain. Better service levels with less stocks. Supply chain excellence requires smart optimization of millions of decisions, rather than merely making decisions out of habit or inertia.Source : Site web
Journals on The Quantitative Supply Chain Blog Recent content in Journals on The Quantitative Supply Chain Blog Source : Blog
Production et commercialisation de logiciels permettant d'analyser ou d'organiser de l'information.Source : BODACC
Lokad SAS appartient au secteur de la programmation informatique, le code NAF correspondant est 6201Z. Cette entreprise est affiliée au numéro de siren suivant : 503710899. Son adresse postale se situe dans la ville de Paris. L'entité Lokad SAS a un indice de confiance de 91/100, cet indice se base sur plusieurs critères. La création de la structure a été réalisé pendant l'année 2008. Durant l'année 2018 le capital de cette structure a été évalué à 55 846,40 €. L'effectif de Lokad SAS était de 20 à 49 employés durant l'année 2017. Elle dispose de 3 marques déposées, dont les marques Terab, LOKAD Quantitative Supply Chain et LOKAD. Le n° de TVA qui lui est lié est : FR70503710899. La structure Lokad SAS est présente sur un réseau social : Twitter. Vous pouvez découvrir la page Twitter de cette affaire sous la désignation de lokad. Une structure vive sur internet, cette dernière a 585 followers en ce qui concerne son compte Twitter.
- Type Société par actions simplifiée (SAS)
- Date de création 07/04/2008
- Effectif 20 à 49 (2017)
- Capital social 55 846,40€ (2018)
- TVA intercommunautaire FR70503710899
- Numéro de SIREN 503710899
- Code NAF Programmation informatique (6201Z)
- Statut SIRENE Active
- Statut RCS Immatriculée (11/04/2008)
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Dirigeants Lokad SAS (9)
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2018 - PrésentAncien
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Annonces légales (19)
7 févr. 2020
L'administration de Lokad SAS est modifiée comme suit :
Commissaire aux comptes titulaire partant : SAS AVARE AUDIT ; nomination du Commissaire aux comptes titulaire : Bourhis, Pascal ; Commissaire aux comptes suppléant partant : Bourhis, Pascal ; nomination du Commissaire aux comptes suppléant : Cuzin, Stéphane.
30 janv. 2020
L'administration de Lokad SAS est modifiée comme suit :
Administrateur partant : De Maistre, Emmanuel ; nomination de l'Administrateur : Vermorel, Louis.
11 juil. 2018
Le capital social de Lokad SAS vaut maintenant 55 846,40 €, après une réduction de 16.1%.
9 févr. 2018
Lokad SAS a maintenant installé son nouveau siège social à l'adresse 83-85 boulevard Vincent-Auriol - 75013 Paris. Lokad SAS a changé d'adresse (tout en restant dans le même ressort de tribunal) : non déterminée.
28 janv. 2018
L'administration de Lokad SAS est modifiée comme suit :
modification du Président Vermorel, Joannes ; nomination du Commissaire aux comptes titulaire : SAS AVARE AUDIT ; nomination du Commissaire aux comptes suppléant : Bourhis, Pascal.
29 févr. 2016
Lokad SAS a maintenant installé son nouveau siège social à l'adresse 14 rue des Reculettes - 75013 Paris. Lokad SAS a changé d'adresse (tout en restant dans le même ressort de tribunal) : non déterminée.
24 avr. 2015
L'administration de Lokad SAS est modifiée comme suit :
Commissaire aux comptes titulaire partant : Galibert, Henri-Paul, Commissaire aux comptes suppléant partant : Isla, Jean-Antoine.
23 févr. 2014
L'administration de Lokad SAS est modifiée comme suit :
Administrateur partant : Steinberg, Matthias, nomination de l'Administrateur : De Maistre, Emmanuel.
30 nov. 2012
Le capital social de Lokad SAS vaut maintenant 66 580 €, après une augmentation de 8.8%.
30 nov. 2012
L'administration de Lokad SAS est modifiée comme suit :
nomination de l'Administrateur : Poutrel, Thibault, nomination de l'Administrateur : Vinciguerra, Arnaud.
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Marques déposées (3)
18 janv. 2018
18 janv. 2028
LOKAD Quantitative Supply Chain
9 nov. 2017
9 nov. 2027
8 mars 2007
8 mars 2027
Répartition par classe des marques
Les 3 classes les plus utilisées sont les classes 09, 42, 38. Une des 3 classes les plus utilisées est "Appareils et instruments scientifiques ou optiques ou d'enregistrement".
|Classes||Nb de marques|
| 09 ||3|
| 42 ||3|
| 38 ||3|
Adresse Lokad SAS (1)
Siret : 50371089900033 (siège social)Actif
83 boulevard Vincent Auriol (83-85) 75013 Paris
Programmation informatique (6201Z)
15 janv. 2018
Siret : 50371089900025Fermé
14 rue des Reculettes 75013 Paris
Programmation informatique (6201Z)
1 janv. 2016
20 à 49
15 janv. 2018
Siret : 50371089900017Fermé
70 rue Lemercier 75017 Paris
Programmation informatique (6201Z)
7 avr. 2008
1 janv. 2016
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Blog Lokad SAS (10)
26 novembre 2019
LokadTV reaches 1000 subscribers
Just over a year and a half ago we embarked on the ambitious challenge of starting a video channel dedicated to the world of supply chains.
27 août 2019
Forecasting as a self-fulfilling prophecy
Every single week, a number of companies contact us asking whether Lokad could take care of their rolling weekly or monthly forecasts, say a few quarters ahead.
10 juin 2019
A manufacturer's perspective
A few days ago, a prospect raised several sharp questions concerning the applicability of the Quantitative Supply Chain perspective to address the supply chain challenges as faced by many large manufacturing companies.
03 juin 2019
Fall in love with the problem, not the solution
Every single SKU calls for mundane daily decisions, such as moving in more stock or changing the underlying price tag.
16 avril 2019
Humans in modern supply chains
Supply chains are complex systems, possibly among the most complex ones ever engineered by mankind, encompassing people (many), machines (diverse) and software (tons).
03 avril 2019
Integers and uncertainty in differentiable programming
Markus Leopoldseder (Director of Knowledge - Global Manufacturing and Supply Chain Practice at McKinsey) raised two relevant questions concerning the applicability of Differentiable Programming (DP) for supply chain purposes.
27 mars 2019
Differentiable Programming as in 'AI' that works
We are proud to announce the immediate availability of the Lokad private beta for differentiable programming intended for quantitative supply chain optimization. Differentiable programming is the descendent of deep learning, and represents the convergence of two algorithmic fields: machine learni...
15 mars 2019
A numerical take on DDMRP
DDMRP stands for Demand Driven Material Requirements Planning. In the last few years, the popularity of DDMRP has been growing in certain industries occupying the niche that lean manufacturing or six sigma used to occupy. Yet, what can really be expected from DDMRP and how much novelty does it br...
05 février 2019
An algebra for supply chain economics
The first principle of our Quantitative Supply Chain manifesto states that all futures should be considered. Thus, we expanded Envision two years ago to natively work with random variables. This probabilistic algebra is the cornerstone of our way of dealing with uncertain futures. Then, the secon...
28 janvier 2019
Real-time data exploration with slices
Two months ago, we rolled out a major new feature for Lokad: our first bit of real-time data exploration. This feature is codenamed dashboard slicing, and it took us a complete overhaul of the low-level data processing back-end powering Envision to get it done. With dashboard slices, every dashbo...
Vidéos Lokad SAS (50)
LokadTV - Episode 28 - Service Level vs. Fill Rate
14 nov. 2018
Often we take for granted the fact that you will be able to walk into a store and for an item to just be sitting on the shelf there, waiting for you when you need it. With huge catalogues to keep track of, fill rates and service levels are two of the most common tools that supply chain managers rely on to keep track of whether they are fulfilling their customers' needs. However, despite their relative simplicity to implement, service level is often mistakenly confused with fill rate, and vice-versa, despite the two indicators being numerically very different. In this episode, we clarify exactly what they are and find out which tool is the best to apply to prevent stock-outs. As always when it comes to measuring how happy customers are, there is a certain "vanity metric" that can get in the way. Many managers are content to keep thinking they are doing well rather than really scrutinising their approach in detail. We discuss if there is a better way of measuring how demand is fulfilled and how easy it is for a company that has been using these metrics for a while to change from their current approach to a new, more efficient one. Finally, we learn how to identify what is a good service level or fill rate and explore how companies can use this to keep their customers satisfied. It's a highly complex question and, contrary to popular belief, 100% is not acutally the best service level or fill rate percentage that managers should be aiming for. ****** Episode Map 0:00:08 Introduction 0:00:30 Perhaps a good place to start would be if we define what service level and fill rates are and the key differences between them? 0:02:03 Do you have an example to explain this? 0:03:59 How do you know what is a good fill rate, or what is a good service level that you should actually work to obtain? What is the percentage you should be choosing? 0:05:21 How does the service level actually work in practice? 0:09:35 It sounds like the methods can be fairly simplistic. Is there a way we can better illustrate the problem? 013:36 Is there anything out there that is even better than fill rate that we should be measuring? 0:16:36 Let’s go back to the Ikea example. How do those economic drivers work in that example? 0:19:16 With the economic drivers approach, there are still going to be personal opinions involved. Who is to say that this approach is any better than just using service levels or fill rates? 0:23:34 Why are supply chain managers still very loyal to things like fill rates? Why are they still using them? 0:27:14 How easy is it to change approach and switch towards an economic drivers approach instead? What are the first steps? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/fill-rate-definition ******
LokadTV - Episode 30 - Data Science For Supply Chain Forecast with Nicolas Vandeput
28 nov. 2018
The rise of open-source software and the widespread adoption of programming languages such as Python has allowed supply chain practitioners to work with increasingly more advanced statistical models. However many professionals still have the impression that implementing advanced forecasting techniques is an insurmountable challenge, best left to professionals. In todays episode we discuss with Nicolas Vandeput his new book, “Data Science for Supply Chain Forecast”, which aims to dispel this myth and show that anyone can create their own forecasts. Machine learning comes with different questions than old school statistics. It requires a different mindset, different experiments and different data. Joannes Vermorel joins us to discuss how going from a statistical forecast to a machine learning forecast will change some of our habits. We understand how open-source software fits into the vision of Lokad and discuss the benefits of collaboration and competition. Finally we understand what the open-source supply chains of the future could look like and what the first steps executives can take to start implementing advanced forecasts for their organisations. ****** Episode Map: 0:00:08 - Introduction 0:00:33 - Nicolas, how did you get involved in the world of supply chains? 0:01:22 - What is your book “Data Science for Supply Chain Forecasts” about? 0:01:58 - Joannès, what’s your perspective on the book? 0:06:08 - Joannès, it’s not just the forecasting world benefitting from open-source software, which other industries have really benefited? 0:10:37 - Joannès, does it make you nervous that there are so many easy to use, open-source forecasting tools out there? 0:14:23 - A lot of these ideas have been developed from a theoretical perspective, could they be applied in a production setting? 0:15:33 - Joannès, for using these ideas on a daily, production basis how could Lokad help? 0:21:30 - What do we do to evangelize the market so that there’s more importance placed on having the correct data? 0:24:15 - Nicolas, we’ve spoken about the benefits of some of these open-source toolkits, what are some of the drawbacks? 0:25:17 - Joannès, you seem confident that there’ll always be a place for Lokad. Looking forward, what can you see that place being in the market? 0:31:59 - Nicolas, what are your hopes for the readers of your book and for the use of open-source toolkits going forwards? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ****** Buy the book: https://www.amazon.co.uk/Data-Science-Supply-Chain-Forecast/dp/1730969437/ref=sr_1_1?ie=UTF8&qid=1543402375&sr=8-1&keywords=Data+Science+For+Supply+Chain+Forecast
Why You Should Subscribe to LokadTV
23 janv. 2019
Supply chains are on the verge of digital disruption. Plants, warehouses, transport, everything is transitioning towards full end-to-end automation. On LokadTV we discover more about a rapidly evolving industry and give clarity to topics such as forecasting accuracy, artificial intelligence, blockchains, machine learning, cloud computing and big data. We talk to experts in the field, getting their views on the future and how technology will shape the world around us. So if you want less stock-outs, less inventory write-offs and ultimately want your business to reach its full potential then subscribe to LokadTV now for new videos and interviews every week. ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 43 - Why DDMRP Is Fundamentally Flawed
27 mars 2019
Demand Driven Material Requirements Planning (DDMRP) is a multi-echelon planning and execution method. This technique is a further development of MRP and works through strategically placed decoupling points and stock buffers that promote the flow of information throughout a supply chain. Previously, it has been described as being ‘Built for People, Not Perfection’. However, in this episode of LokadTV we try and learn whether this method really works in practice and why, as a technique, it is unfortunately fundamentally flawed. The approach was built in response to the frustration that many practitioners were feeling with their supply chains and has gained traction over the last few years. DDMRP is made up of four pillars of innovation. We learn more about these four innovations and discuss exactly why introducing decoupling points is far too simplistic and naive an approach to take, especially when faced with the multitude of complexities that supply chains represent. We discuss the principle of net flow calculation and understand why it is merely a glorification of a highly simple relationship between stock and demand that already exists. We also explain what the somewhat dramatic sounding "decoupled explosion" actually boils down to in practice. To round things up, we go into more details on how using human inputs to tweak the systems through these decoupled explosions is, in fact, too crude a solution for satisfactory results and discuss the valuable insights that DDMRP does give on moving averages for forecasting, specifically in the frequency domain. ****** Episode Map 0:00:08 Introduction 0:00:32 What is the general idea behind DDMRP? 0:02:32 Why doesn’t it actually work in practice? 0:05:40 How well does the net flow equation work in practice? 0:08:45 What about the decoupled explosion? What is going on here? 0:10:20 Who is actually making those choices? 0:13:08 Do we prefer to rank by economic strength? 0:17:17 DDMRP has its flaws then, so should we completely discount it as a technique? 0:19:35 Are there any insight that DDMRP gives us that are actually pretty good? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV France - La Formation Des Futurs Décideurs Supply Chain
24 oct. 2018
Uniqlo has just announced a 90% reduction of its employees by having completely automated one of its warehouses in Japan. One thing is certain:- supply chains are changing, becoming increasingly technology focused and demanding less manpower, therefore requiring a different, more engineer driven skillset from its employees than before. Thus in an environment that is evolving so rapidly, what can be done to prepare those who will go on to lead supply chains? On this episode of LokadTV, we welcome Régis Bourbonnais, renowned lecturer, head of the "International Supply Chain" Masters at Université Paris Dauphine and logistics consultant, to discuss these evolutions and how he shares his expertise with his students in more detail. We debate just what exactly is making the world of supply chains change so quickly, from customers that can be described as much more volatile - expecting higher service levels, a larger diversity of products than before and an ease of returning goods if they're not satisfied -, to various social media influencers that can suddenly propulse a seemingly random product to great heights, without any prior warning for a business. With the rapid transformation of technology and new ways of managing data, supply chain is also a world adrift with empty technological buzzwords. How do we know which of those are actually of substance and which should be avoided as they'll simply end up as a short-lived trend that'll die out? We discuss how to differentiate between these various fads and genuine innovations. To conclude, we expand on how globalization has had such an impact on the domain of supply chain, and why this means that future supply chain leaders need to be ready to embrace different cultures. ****** Aujourd’hui sur Lokad TV, nous accueillons Régis Bourbonnais qui est Maitre de Conférence à l’université Paris Dauphine et responsable du Master Supply Chain Internationale. Les discussions concerneront les évolutions de la supply chain, c’est-à-dire l’essor du e-commerce, des réseaux sociaux mais aussi de la robotisation. Dans cet environnement économique en pleine mutation, la formation des étudiants apparaît comme étant une question centrale. Comment former des personnes susceptibles de comprendre et de s’adapter aux évolutions de la supply chain. ****** Episode Map 0:00:08 Introduction 0:00:47 Régis, perhaps you could start by you telling us a little more about your background? 0:01:55 Nowadays, data is everywhere and tons of start-ups, offering data analysis services have been founded. What is your take on this? 0:04:46 Regis, is that something you are seeing in the academic world as well? 0:07:05 Regis, are your students trained in the extraction and manipulation of data using softwares? 0:08:08 How is S&OP taught nowadays? How will this method be used in the future? 0:09:21 What is Lokad’s perspective on S&OP? 0:13:23 Regis, how do you choose the content of your courses? 0:16:50 What is your take on 3PLs specializing in supply chain software? 0:19:48 Are students nowadays more interested in new technologies and programming languages? 0:23:11 Which are the key skills that Lokad is looking for? 0:27:29 Where is your Master standing in the international scene? Which are your ambitions for the future? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 27 - Why Using The Min/Max Approach Means You Are Destined To Failure
8 nov. 2018
Many in the supply chain industry are bound by the capabilities of their ERP system. Often the Min/Max approach is hard coded into the software making it an approach that many companies rely upon. The method was developed as a visual way of managing stock levels with the primary benefit being its simplicity. However as one of the earliest automated replenishment methods to be used in inventory management software, this approach has its limitations. In this episode we explain why the method is geared towards simplicity rather than correctness and how ultimately through taking this approach you are on a path destined to failure. We explain why it doesn’t account for MOQ’s and why it works very poorly with multi-item constraints. We understand the first steps that a Supply Chain manager should take to improve their approach and debate why, even if a company has a min/max approach that is currently working, they should still take steps to move away from this method. ****** Episode Map 0:00:07 - Introduction 0:00:31 - What do Min/Max approaches actually entail? 0:01:45 - In addition to being simplistic, what other benefits does the Min/Max approach have? 0:02:30 - What are its limitations? 0:04:38 - So what are the real world problems that come from using this approach? 0:07:05 - If it’s such a “poisonous” approach, why is it incorporated in to so many ERP’s? 0:09:20 - A lot of companies are bound by Min/Max, what are the other available options? 0:12:00 - Is reverse-engineering an approach to recommend? 0:14:20 - What are the key differences between a Lokad and a Min/Max approach? 0:17:05 - Why should a company move away from a Min/Max approach if its working well enough? 0:18:59 - For a Supply Chain Manager, what would be the first steps to move away from a Min/Max approach? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Find out more: https://www.lokad.com/min-max-inventory-planning-definition ******
Lokad, quantitative supply chain software
8 août 2019
Applying incorrect recipes to a domain as complex and unforgiving as supply chains does not make them better, but worse. At Lokad, we strive for science while fighting against scientism. Reality tells whether a supply chain decision is good or bad. Unintended effects matter. Scale matters. IT landscape matters. Performance is about getting the economic trade-offs right. Our technology is forever in flux, progressing as our own understanding of the problem progresses. Our website: https://www.lokad.com/ Our blog: https://blog.lokad.com/
LokadTV - Episode 34 - Why Safety Stock Is Unsafe
9 janv. 2019
In the 1920’s people came up with the idea of inflating demand predictions in order to more safely cover periods of high demand. This method, commonly known as safety stock, gained a huge following and as a result was hard wired into many ERP’s to protect against variability in both demand and lead times. Despite the fact that this method was conceived before computers were even invented and that both technology and supply chains have transformed so dramatically since, saftey stock still remains a staple approach in many supply chains. Furthermore, even though it is a relatively simplistic concept, it is unfortunately often used far too conservatively, resulting in overstock and wasted inventory. In this episode of LokadTV, we explore just how this approach became so extremely popular, why it is still so widely used and where this methodology fails. In addition, we discuss the modern alternatives that are available to a supply chain professional. Often, when people use safety stock, they blame the results of forecasts for any errors rather than the tool itself. The root cause of the problem is the fact that normal distribution will always underestimate risk. Uncertainty is inevitable and needs to be embraced, yet safety stock methods don't usually approach this the right way. Here, we try to explain why many professionals never really notice when they are overstocked and why they add coefficients to safety stock to overcompensate for stockouts. We investigate the idea that uncertainty can be seasonal, as well as demand. Finally, we try and see how businesses can achieve less stockouts with less stock. ****** Episode Map 0:00:08 Introduction 0:00:33 How would you define safety stock? 0:02:05 When did these ideas come about? Why is this something the market is hang up on? 0:04:04 Where are the key difficulties with safety stock? 0:08:57 Why is the probabilistic approach better than the safety stock one? 0:13:08 How do you deal with customers that need this extra safety value that is safety stock? 0:14:43 Is there something between the complexity of the probabilistic approach and the lesser accuracy of the safety stock one? 0:18:53 Why is the wastage in safety stock something that people haven’t tried to improve? 0:22:28 What is the key message today? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/calculate-safety-stocks-with-sales-forecasting ******
LokadTV - Episode 29 - Why Lead Times Are Nearly Always Underappreciated
21 nov. 2018
Accurately estimating future lead times is critical for accurately estimating the amount of inventory needed to fulfill future demand. However it is often it is a factor which is overlooked by companies, with a far greater importance being placed on forecasting. On this episode of LokadTV we explain why they are critical to strong business performance and why if you don’t take them seriously you might as well use a random number generator for your forecasts. We talk to Joannes Vermorel and get his views on why many of his customers have had a rather inexperienced approach to their lead times. Lead Time is an important factor for customer satisfaction. It can be summarised as the amount of time between process initiation and completion. But despite its apparent simplicity, often it is not so simple to actually record lead times, with the metrics often confused by companies. In this discussion we explore why there is uncertainty surrounding something which should be simple and understand how we can have more confidence in the lead times used to make purchase decisions. Finally we understand how to account for the variation in lead time between different transportation methods and how you can keep on top of the shear number of variables which must be taken into account. ****** Episode Map 0:00:07 - Introduction 0:00:34 - Why are we talking about something that seems so simplistic? 0:02:47 - Approaching lead times can be complex, what are the first steps someone should take to improve their lead times? 0:05:23 - What are the key factors that contribute to variability in lead times? 0:07:01 - So you’re saying that you should break down lead times in to individual parts, does this not add a new layer of complexity? 0:08:21 - With these added complexities, how can you have confidence in your lead time predictions? 0:10:03 - What’s a real world example of a customer improving their lead times and how did that affect their business processes? 0:12:37 - How can unexpected delays occur in lead times, shouldn’t a business have a better understanding of things? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Find out more: https://docs.lokad.com/demand-forecasting/calculating-the-lead-times/ ******
LokadTV - Episode 33 - Bridgestone Special
19 déc. 2018
With around 180 manufacturing plants and business presence in more than 150 countries, Bridgestone is the largest manufacturer of tyres in the world. In this special episode of LokadTV, we are lucky enough to take a peek behind the scenes and understand the daily operations and challenges that are faced by a multinational corporation such as Bridgestone. We welcome Nicolas Vandeput to discuss the recent project completed between Lokad and Bridgestone to improve their European supply chain operations. We discover how things were managed before the arrival of Lokad, whith multiple teams in multiple countries fighting to get as much stock as they could in order to avoid stockouts in their own country. We discuss why our tailor-made and programmatic approach proved to be the best option in the market for such a multi-echelon network. With a multitude of locations around Europe, from Latvia all the way to Portugal, and up to 60 000 SKUs, the Bridgestone supply chain is inherently complex. We explore the difficulties that are introduced when tackling a multi-echelon problem and discuss how a company, which places such huge emphasis on lean stock management, battles daily to service their customers as efficiently as possible. Finally, we understand the challenges of implementing a project such as this across such a diverse organisation and we learn how the change management process was approached with minimal impact to daily operations. ****** Episode Map 0:00:08 Introduction 0:00:28 Nicolas, I guess a nice place to start would be to illustrate the scale of the project and the supply chain at a multinational corporation such as Bridgestone. So how many SKUs and locations are we talking about? 0:01:40 With such a multitude of locations around Europe, from Latvia all the way to Portugal, what are the complexities that are introduced? 0:02:20 What was the initial idea behind the project? How did it start? 0:03:28 What was so different about the approach Lokad was taking? 0:06:13 What are the key difficulties that this introduces? 0:08:26 Knowing the inherent complexity behind the Lokad solution, how did you approach that change? Were people really interested in it? 0:11:18 The project finally went live back in March 2018. What were the initial challenges that we faced? 0:14:33 How did you take that noise and translated it into a probabilistic forecast? 0:16:55 How did the project get implemented? What were the initial results? What did we have to change and adapt as the project went on? 0:19:09 Nicolas, what sort of evolutions have you seen over the course of the project? 0:20:33 How about the impacts of the project on, for example, the IT infrastructure? Are there any changes that have actually been made on the daily operations? 0:21:36 From Lokad’s perspective, what have we learnt from implementing such a multi-echelon project? 0:24:14 What are your key takeaways from this project? What are the key results? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/inventory-forecasting-for-manufacturing ******
LokadTV - Episode 55 - Why SKU’s Aren’t That Simple
10 juil. 2019
In the field of supply chains, the concept of stock keeping units, or SKU’s, is one of the first ones you will learn about. As a fairly basic concept, it is completely ingrained in the practice of inventory management and as such is a major part of modern ERP systems. However what is a basic concept on the surface, can come with many assumptions which can be deceptive. In this episode of LokadTV we explore where the limitations lie within the concept of a SKU and understand why it can be easy to get carried away with things which appear to be a foundational concept. We understand the edge cases which this affects and look at real world examples such as the need to track expiration dates in fresh food and the amount of flight hours a part has been subjected to in the aerospace market. We discuss how availability at SKU level not always relevant and understand the impact that substitute products can have. Finally we look at the alternative approaches that can be taken and debate whether each vertical should have a specific definition of a SKU which takes into account key characteristics of the market. ****** Episode Map 0:00:08 - Introduction 0:00:30 - What is the definition of a SKU? 0:01:28 - What is so interesting about a SKU? What is interesting about the features of a SKU? 0:03:26 - What are some of the assumptions we make by using SKU’s? What issues can arise from making these assumptions? 0:03:58 - What kind of real world assumptions are there? 0:05:03 - What are some of the issues that you have observed as a result of this? 0:07:19 - So SKU’s don’t take into account substitute products and there is no linking between them? 0:08:36 - What’s the alternative? Is there a better approach we can take instead of using SKU’s? 0:10:03 - So what we are saying is that each vertical should have a specific definition of a SKU which takes into account the key characteristics? 0:12:19 - Have those industries where it doesn’t work moved away from using SKU’s? 0:13:58 - Why is it that as an industry we are still so happy to use them? Is it because it is so ingrained in ERP systems? 0:16:08 - What is the advice to a Supply Chain practitioner? What should they be moving towards instead of using a SKU? 0:18:05 - Is the concept of SKU’s something that is here to stay? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 31 - Quantitative Supply Chain For Fashion
5 déc. 2018
Edith Head once famously said that “You can have anything you want in life if you dress for it". With the fashion industry reaching a global value of around 3 trillion dollars, it seems that few disagree. However, all that glitters is not gold. That's why, in this episode of LokadTV, we decide to shed light on the numerous supply chain challenges within the industry. First of all, the lifecycle of a fashion product seems to be disseminated with a series of constraints, like MOQs, container shipments or the problem of the dispatch between the different channels - to name but a few. If we think about ultrafast fashion, the challenges are even bigger, considering that the lead times are often extremely short: less than a week from design to the shelf. In this video, we discover how technology can help us automate a series of time-consuming decisions. We also talk about sales and pricing, which are an integral part of the fashion industry and one of its key challenges as well. Price elasticity is the main mechanism that brands use to liquidate their inventory at the end of a collection, but with millions of items spread over different channels, it requires a massive workforce. See how a Quantitative Supply Chain initiative can help you in dealing with this riddle. Finally, we discuss how the items of clothing that a celebrity decides to wear can often result in stockouts. Can brands really forecast these 'freak' spikes in demand? How could a probabilistic approach take into account those statistical outliers? What about social media, especially Instagram? Are companies nowadays overstocking certain items in anticipation of what influencers will wear, and should this kind of marketing via platforms be taken into account in future stock management decisions? We debate these questions and more. ****** Episode Map 0:00:08 Introduction 0:00:31 Perhaps a nice place to start is to look at how the industry currently operates. So what is the more traditional approach the fashion industry takes with supply chains? 0:01:26 I know there will be many variations depending on the type of product, but what does the lifecycle of a fashion product look like? 0:06:34 A number of low cost retailers are currently pushing ultrafast fashion, with lead times of less than a week from design to the shelf. How can we possibly manage to get these lead times so short? What are the key challenges that we are seeing in order to make that happen? 0:10:09 Uniqlo recently announced they are using automation in one of their warehouses. What are the production challenges that you are seeing in this industry and how do you see automation changing that? 0:13:55 What about the end user and the sales process? How does price elasticity affect things? 0:16:07 What you are saying is that instead of sticking to a collection, you want to move towards a more gradual phasing between each of the different seasons? 0:18:09 One of the big problems with forecasting for the fashion industry is that you can’t really account for that day when a celebrity walks out of the front door wearing a particular tee-shirt. Can you ever really account for these ‘freak’ spikes in demand that fashion industry can experience? 0:21:03 What about channels such as Instagram, where do you see somebody wearing a particular item of clothing? Do you think fashion companies already have stock ready for those particular occasions? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/inventory-forecasting-for-fashion ******
LokadTV - Episode 25 - Behind The Hangar Doors: Interview with Antony Nardozza
17 oct. 2018
Aerospace is a heavily regulated industry where change doesn’t happen easily. However, the arrival of the monstrous A380 introduced new supply chain challenges that highlighted the weaknesses of existing MRO procedures. In this episode of LokadTV, we are joined by Antony Nardozza, the Head of Inventory Solutions at OEM Services, and a great expert in the field of aerospace supply chain, having previously worked for both Airbus and Spairliners. Together, we talk about the pioneering new method of forecasting for aerospace that was developed with Lokad in order to respond to the specific supply chain challenges of the MRO sector. We explore why the classic "safety stock" approach just doesn't work anymore and the reason why you should instead switch to a probabilistic approach. We then try to understand how the adoption of a new approach can at first fundamentally change a company's internal mechanisms, but how in the end this allows employees to gain more autonomy in the decision process, while making a better use of their time. In addition, we discuss the evolution of the COO role over the last decade, an evolution that goes hand in hand with the transition experienced in the aerospace industry, moving from a "product logic" to a "service logic". Finally, we go into more detail by discussing the technology that we could see being introduced to the aerospace industry in the near future and comprehend the impact of this upon the daily tasks (and skills) of a supply chain professional. To wrap things up, we learn more about how data is evolving and how predictive maintenance will soon become essential for tomorrow's aerospace supply chains. ****** Episode Map 0:00:04 Introduction 0:00:27 Antony, thanks very much for joining us today. Perhaps we could start by you telling us a little more about your background? 0:00:50 Joannès, today we are going to talk a little more about the pioneering new method of forecasting for aerospace that you developed with Antony. What did this method consist of? 00:05:23 Antony, how were things done prior to you being in touch with Lokad? 0:08:00 What sort of changes did you have to make within your organization to adapt to the Lokad approach? 0:10:19 How did you know which problems to prioritize? 0:14:35 What’s changed after you saw the Lokad approach? What are the key benefits you have seen? 0:15:50 What about you Joannès? Which are the key benefits for your customers? 0:21:15 Antony, currently you’re working as head of operations at OEM Services. How have you seen this role evolving and how do you see it evolving in the upcoming future? 0:23:13 How do you see this role evolving with technology? 0:27:06 What sort of technology that is out there can we see in the future of the aerospace industry? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/aerospace-inventory-forecasting ******
LokadTV - Episode 49 - Digitalization in the Fashion Industry with Madeleine Czigler
15 mai 2019
When you think about the industries that ‘digitalization’ has really impacted upon, fashion is probably not the first one that springs to mind. However, with the rising use of smart materials and the ability to design your own clothes online, it could be argued that the link between technology and fashion is actually closer than ever. This week we are joined by Madeleine Czigler, a journalist, TV producer and Professor at the American University of Paris who specializes in culture and the fashion industry, to discuss with us how the digital age has really changed the face of the fashion industry. Digitalization is not just a technological challenge but also a people challenge that involves getting people to work differently together. In this video, we learn which are the areas most influenced by the digital and social media tools currently on the market and discuss which of these will be most important for the future of the fashion industry, be it Instagram, Facebook or Twitter. We also try to understand the supply chain challenges which need to be overcome to make on demand fashion available to the masses. On a more technological note, we discuss how statistics can be applied to products that cover so many variables and combinations, given the complexity of supply chain in Fashion. And of course, we wonder just when you will be able to 3D print your own clothes at home! Finally, we discuss the environmental and ethical implications that the industry must consider for companies to stay relevant in the modern world, such as the development of eco-friendly fabrics and so on. We also try to put that in perspective to debate what is the real impact of fast fashion for our planet, and how much that impact really weighs when compared to other industries. ****** Episode Map 0:00:08 Introduction 0:00:38 Perhaps you could tell us a little more about your background? 0:02:50 What’s your take on Digitalization in Fashion? 0:06:40 What do you see as the most important of the new digital tools for the fashion industry? 0:07:12 From a Lokad perspective, how can you use Instagram? 0:09:13 What about your background in journalism and the media? That is also an area which has been really shaped by digitalization, right? 0:10:37 What are the areas of the fashion industry which you see as being completely reshaped? 0:14:54 What kind of supply chain challenges does super fast fashion introduce? 0:18:08 What can you teach to your students something that will still be relevant in 20 years time? 0:19:36 How can we overcome the negative impact of digitalization and fast fashion? 0:23:19 What are the challenges for the future of the fashion industry and how do you see them being overcome? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 45 - Solving Unsolvable Problems (Differentiable Programming 1)
10 avr. 2019
Differentiable programming is the latest descendant of deep learning. It has unlocked a series of challenges which were previously seen as “unsolvable” and has paved the way for considerable progress and superior numerical results in the world of Supply Chains. In this episode of LokadTV we tackle this extremely exciting new development and learn how this major breakthrough means we can now perform optimizations, even when faced with high levels of uncertainty. In supply chains there are a whole series of unsolved problems that the industry has been struggling with for years. We learn how solutions to the big AI problems, such as voice recognition, image analysis and autonomous vehicles, can be applied to specific supply chain products and why the present time has been the better moment to revisit these failures. We explore how differentiable programming provides a joint resolution to these problems and makes it possible to mix factors that are logically so different. Finally, we discuss what this breakthrough in large-scale numerical optimisation means for future supply chains and how considerable progress and superior numerical results can be made. But there are still many "wicked" problems that remain unsolvable, despite these technological leaps and bounds. Problems that would "take Skynet to solve". So how far away are we from a Terminator-esque future with robots taking over the world? Watch and find out! ****** Episode Map 0:00:08 Introduction 0:00:28 Today, we are going to talk about tackling some unsolved problems. What kind of problems are we talking about? 0:01:48 What sort of problems has the Supply Chain industry been struggling with for years? 0:04:20 Can we combine existing methods to get something satisfactory? 0:09:22 Where does it work really well in the real world? What are the classic challenges that it is really good at solving? 0:13:18 Which are the problems in the Supply Chain world which Differentiable Programming cannot solve? 0:17:01 Why was now a better time to revisit these unsolvable problems? 0:20:07 Is that growth going to continue or not? 0:21:40 What are the benefits of Differentiable Programming for Supply Chain practitioners? How is it going to change the way in which they are approaching problems? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 24 - Forecasting For Aerospace
10 oct. 2018
Nowadays it is often taken very much for granted that we will be able to go to the airport, then sit on a plane to arrive safely and on time at our destination. However, behind the scenes there are so many factors that ensure this not only happens safely for the client, but also profitably for the companies involved. In this episode of LokadTV, we discuss the aerospace sector and the key features of this market that make it so unique from other businesses. Nowadays, aircraft are made of up to 300,000 pieces and airlines need to have them fly as much as possible to be profitable. As a matter of fact, it costs up to 200,000 per day to ground a plane for maintenance. This makes on-time aircraft movement a critical success factor that drives both costs and revenue. We understand how airlines manage their stock and even collaborate with each other to ensure that losses due to aircraft on ground (AOG) are kept to a minimum. In addition, we explore how airline maintenance works and the budget constraints that affect even the largest aerospace companies, who can own over a billion dollars of inventory each. We also discover how airlines manage to work together, even in a highly competitive world, in order to keep aircraft flying. Finally we wrap things up by explaining why classical supply chain models can't be applied to aerospace supply chains and why a probabilistic approach that completely embraces the fact that your supply chain is built on loops and not on a direct flow from producer to consumer, is actually what works best. We also go further into seeing what a supply chain solution for aerospace should try to achieve in terms of KPIs. ****** Episode Map 0:00:04 Introduction 0:00:33 What are the key features that make this market so different? 0:02:02 How does the maintenance work? 0:03:02 How many components are we talking about here? What is the scale of operations? 0:03:54 What are the complexities that we associate with this supply chain? 0:05:59 How many parts on a plane are actually repairable and how many are just fully replaced with new parts? 0:07:43 The idea behind a plane is that it is going to spend more time in the air than on the tarmac. Does this mean that airlines have to hold huge amounts of stock? 0:09:48 What are the options that are open to an airline company if one component is missing? 0:11:30 Do the airlines work together? Surely it’s in their interest to see a competitor fail and lose revenue? 0:12:20 With hundreds of thousands of components, repairable loops, collaboration between different companies, how can we actually even begin to approach forecasting for this sort of scenario? 0:17:08 We have so much erraticity with this repairable process. How can you approach that? How can you know if something is going to be repaired in 2 weeks or in 2 months? 0:19:34 Why airlines can’t just have lots of parts in stock? 0:21:20 What are some of the main challenges that you have faced with forecasting for aerospace clients? 0:26:27 From an optimization perspective, what are you trying to optimize? Dollars, time? 0:28:24 To round things up, what is the key lesson you want to take away from today's discussion? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/aerospace-inventory-forecasting ******
LokadTV - Episode 26 - Transforming Complex Supply Chains with Hervé Hillion
31 oct. 2018
For this episode of LokadTV, we are joined here in Paris by Hervé Hillion, one of the founding members of SAY Partners, a renowned supply chain consultancy. With more than 20 years experience in operations consulting and the strategic management of complex supply chains, Hervé explains how change can be effectively conducted across an entire supply chain. Together with Lokad's founder Joannès Vermorel, we discover how various business sectors that were once considered incredibly ahead of their time concerning the modernity of their supply chains are now lagging far behind other verticals. Over the years, supply chains have fundamentally changed. We discuss what the organisational structures of tomorrow could potentially look like and the skills needed in order to adjust to the introduction of the numerous new technologies available today and the overall complexities of modern supply chains. Historically, it used to be the repetitive, mundane jobs that were being replaced, however now white collar jobs are also gradually being replaced. Should we fear a complete disappearance of middle management in favour of a complete automation of supply chains? In this episode we try to understand how these white collar roles could be evolved, what are the skills required and how management should deal with such large organisational changes. Finally, we talk about the many buzzwords that are thrown around in the world of technology, such as AI, Deep Learning, Cloud Computing, Machine Learning, etc. With so many buzzwords and their often short-lived fads, just how can we actually discern what is simply a trend and what is actually a piece of technology that is here to stay - therefore worth a company investing both their time and money in? We try and provide you with some tips for successfully navigating this ever-changing tech landscape. ****** Episode Map 0:00:08 Introduction 0:00:32 Hervé, perhaps we could start by you telling us a little more about your background? 0:01:40 What are the verticals in the supply chain industry that are a little bit behind in their approach to the supply chain? 0:04:40 What you are saying is that this software was implemented during the 80’s and it became frozen in time because it already worked? 0:07:29 Hervé, how do you approach that change when a new technology requires a new skillset? Do you support with training or is it easier to just find new resources? 0:11:05 Can you see a day when supply chains will be fully automated? 0:14:30 Would you take a different approach If you had to introduce change to some of the “white collar” roles? 0:17:24 There are a lot of buzzwords around the technology industry. How do you differentiate between what is a buzzword and what is a piece of technology that is here to stay? 0:21:20 We are seeing some rapid changes due to technology at the moment. How should we be approaching these changes? Where do you see these changes going for the next 50 years? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 52 - Bridging the Digital Gap with Axelle Lemaire
5 juin 2019
In this episode of LokadTV we are joined by the Global Head of Terra Numerata, Axelle Lemaire. Axelle previously worked as Minister for Digital Affairs within François Hollande's government and has recently taken on this new role at Terra Numerata - the digital arm of Roland Berger. Terra Numerata is a curated global network composed of start-ups and innovative companies offering services that are complementary to Roland Berger's business expertise. Here, she is bringing together both startups and technology companies alike in order to maximise their potential within an ever more competitive digital world. In this episode, we get her insights on the topic of digitalization and how the widespread adoption of digital technologies has lead to traditional companies completely reinventing themselves. The business landscape has changed vastly over the past few years, creating a highly dynamic and exciting environment with more start-ups than ever, meaning that numerous other businesses have had to adapt. Smartphones, e-commerces and social media have all revolutionised how many industries function. We can say that nearly all companies have been digitalised for quite some time. However, many companies claim to be fully digitalized but in reality this is often only on the surface. We learn why digitalization actually requires a completely different culture, where a company entirely rethinks their strategy in depth. We discuss some of the key digital trends that we have seen across a range of different industries and why many companies are expanding on all verticals in order to have a greater control over their supply chain. To round things off, we debate whether there are any negatives to digitalization and if having such an increasing reliance on computers for all aspects of our lives could be problematic in the future. Awareness of this is definitely increasing, but is it enough and just how is it transforming the inner structure of businesses? We also explore some of the exciting new tech trends on the horizon. ****** Episode Map 0:00:08 Introduction 0:00:36 Axelle, perhaps we could start by hearing a little more about your background? 0:01:35 Currently, you’re working as the Global Head of Terra Numerata, a part of the global management consultancy, Roland Berger. Could you tell us a little bit more about that? 0:02:14 Today, we are going to talk a little more about digitalization, can you give us an overview of what digitalization is? 0:03:49 It seems there are now more startups than ever with a vibrant marketplace of companies promising to revolutionise the digital industry? What’s your take on this? 0:06:56 10 years ago, Lokad was one of those little start-ups located just around the corner from Station F. What are your views on this? 0:11:41 Can you see any sort of negatives to this increasing reliance on digitalization? 0:18:12 Let’s look at some of the digital trends for the future. What are the opportunities that you can see coming from them? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 61 - Forecasting For Spare Parts
2 oct. 2019
With around 80 million cars sold worldwide each year, the automotive aftermarket industry is expected to reach a global value of over 700 billion by 2020. In this episode we look into the range of challenges which have been introduced into the industry as consumers become more aware of the importance of preventative maintenance and regular services to maximize the lifetime value of their vehicles. We discuss the introduction of e-commerce players into an industry which has largely been dominated by garages and how the rising trend for DIY maintenance has resulted in a rising demand for aftermarket parts. The automotive market exhibits demand patterns which are often sporadic and difficult to map. We discuss the importance of statistical stability to be able to forecast accurately and learn what makes the automotive parts aftermarket so particular when compared to other industries. Finally we expand on how pricing has a key role to play in relation to demand and the best way to approach competitive pricing strategies in a ‘cause-driven’ market where purchases are made due to a specific incident. ****** Episode Map 0:00:08 - Introduction 0:00:34 - What is so special about the automotive aftermarket? 0:02:37 - How can you forecast the demand for such a wide range of options? 0:03:57 - The real challenge I can see here is the lifetime of a car part is dependant on factors such as driving style and weather. Can we really forecast for when someone breaks down? 0:06:40 - Let’s talk about some of the challenges, does having so many parts which are compatible not make a practitioners life easier? 0:08:28 - Has nobody created databases which makes use of the expertise of the practitioner and tells you which compatibility exists? 0:10:35 - What’s the best way to keep track of this then? How can we keep track of which components were used in the manufacture of a certain vehicle? 0:13:30 - What about pricing? How important is pricing when it comes to the demand for these components? 0:16:40 - If you’re not analysing what competitors are doing is there any way of analysing how aggressively you can price? 0:18:47 - How has the industry changed with the introduction of e-commerce players who are starting to compete with the more traditional garages? 0:20:50 - What are the key lessons to learn from today’s episode? Is it that data can give structure to what is a seemingly random activity? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 56 - Can You Use The Weather To Forecast Demand?
24 juil. 2019
When General Eisenhower was asked why the D-Day landings were such a success he reportedly replied ‘because we had better meteorologists’. And with technology increasing forecasting accuracy each year a common question we are often asked here at Lokad is whether meteorological data can be leveraged to optimize purchasing decisions. In this episode we explore this concept in a little more detail and discuss whether data can be leveraged in any way to improve accuracy, particularly for weather sensitive products such as ice creams and winter coats. From a technical perspective weather data is now available on a daily basis. We learn why from a supply chain perspective weather forecasts are often too short-term to be useful and why it is so difficult to leverage this data. We discuss how the inherently local nature of weather can introduce complications and debate how much trust can be put in meteorological data. Finally explore the implications of climate change and understand whether global warming will have any impact upon seasonal forecasts. ****** Episode Map 0:00:07 - Introduction 0:00:37 - What’s the idea behind this? 0:01:47 - How well does it work in practice? 0:03:01 - What did we learn when we tried to use this data at Lokad? 0:06:30 - What are the technical challenges which are introduced? 0:08:35 - Is there something more reactive we could introduce? Is there not something simplistic that can be useful? 0:11:55 - Could it be something we use in the future when we forecast more accurately and have greater control of our supply chains? 0:14:19 - How about climate change? Can we leverage this insight to improve our seasonal forecasts? 0:17:03 - What other data should we be looking at? What is more important than weather data? 0:19:28 - What is our main conclusion today? It is possible to use weather data but there are other things which are more important? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 51 - What Is Slowbalization?
29 mai 2019
From Europe to Asia to the United States, there are changes in the air that have resulted in political forces around the world leaning away from long-standing trends of economic globalization, such as Donald Trump's recent tariff stance against China. Recent evidence indicates that now, for the first time in over a century, there is a general slowdown in overall economic activity across the globe and a shift towards a new pattern. World trade as we know it is evolving. This pattern is becoming known as ‘slowbalization’ and in this episode of LokadTV, we learn more about this concept and its impact on the world of supply chains. Over the last few decades, globalization has resulted in the rapid growth of worldwide trade. We look back and question what were the technical factors that led to such an explosion of trade. We try to understand what has since changed in recent times: for example, the considerable gains in productivity due to automation and the ensuing massive lowering of both production and transportation costs - which are paradoxically contributing to this slowbalization phenomena. We also investigate the macroeconomic indicators that show that slowbalization really is happening. In addition to this, we discuss why there is an overall slowdown in trade activity and a reduction in long-term border investment. Finally, a number of industries are switching to what could be considered as 'local supply chains'. We try and explore these local supply chains in more depth and review why many companies would choose to do this. We take into consideration how they are becoming more efficient, the pros and cons, and whether a heightened awareness of environmental questions has had an impact on this shift. ****** Episode Map 0:00:08 Introduction 0:00:36 Today, we are exploring the concept of “Slowbalization”. What is the basic idea behind this? 0:02:17 What are the external effects which can be blamed for this sudden slowdown in economic growth? 0:04:43 This kind of reduction in production and transport costs, is it a trend that is going to continue? 0:05:55 Why are those local supply chains now suddenly being so much more advantageous to work with? 0:07:45 Having local supply chain has its benefits, but are there any challenges that it introduces? 0:09:34 How about the environmental considerations? Does it still make sense to ship goods from one side of the world to another? 0:12:18 Thanks to globalization, companies are now operating in hundreds of countries. How do you see slowbalization changing the way those companies act? 0:16:16 From a Lokad perspective, what are we dependent on? 0:17:56 Is slowbalization a trend which is here to stay? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 23 - Is Forecasting High Growth Possible?
3 oct. 2018
Forecasting demand for existing products is difficult enough. But forecasting for radically well performing products is a happy dilemma that can derail even the most experienced supply chain practitioner. There are no past trends to reassuringly extrapolate into the future and there are many factors which can affect whether that growth is sustainable. In this episode we discuss why forecasting growth is so difficult and what can be done in order to have some degree of confidence in purchase decisions. A major problem with forecasting for too much growth is the valuable revenue that is wasted on stock that cannot be shifted. This can happen to even the largest companies such as such as H&M who reported 4.3 billion dollars of unsold stock in March 2018. This week on LokadTV we understand what growth patterns look like and why statistical patterns work best with uncertainty. Finally we discuss what clues a company should be looking out for so they can understand whether the product they are forecasting for is a hit or a miss scenario. ****** Episode Map 0:00:05 - Introduction 0:00:27 - What problems do companies face when forecasting for high-growth scenarios? 0:01:15 - What different kinds of ways can companies grow? 0:04:05 - How should you respond to a hit or miss scenario with a product? 0:05:43 - What other problems can occur when trying to forecast growth? 0:07:59 - A company might know it’s going to grow but not exactly when, what can be done to counter that? 0:09:21 - There’s no guarantee that your product will succeed, how do you forecast such a scenario? 0:14:12 - What kind of clues can a company look out for to know that they’ll enter in to a growth period? 0:15:14 - Could website visits and statistics be included in forecasts? 0:16:22 - What can a company do to be best prepared if they’re growing exponentially? 0:18:12 - What happens in the real world, do people often over-forecast their growth? 0:21:09 - What’s the core message for businesses to take away from this? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://docs.lokad.com/demand-forecasting/probabilistic-demand-forecasting/ ******
LokadTV - Episode 38 - Real Time Visibility in Supply Chains with Pierre Khoury
13 févr. 2019
With operations in over 20 countries and more than 3 million loads tracked per year, Shippeo is the European leader in supply chain visibility. Each day, they use machine learning algorithms to keep track of their customers' deliveries using real time information. In this episode of LokadTV, we are joined by Pierre Khoury, the CEO and co-founder of Shippeo, who discusses with us both the benefits and challenges of real time visibility in a supply chain. We learn how, through the use of these machine-learning algorithms, Shippeo manages to give their customers a complete oversight of deliveries, overcoming particular elements such as road transportation, which has been considered as a black box in supply chain visibility for many years. In addition to this, we discuss the importance of obtaining real time information for supply chain professionals to be able to better evaluate their supply chain. For example, Shippeo were able to help one of their clients in a highly valuable way when faced with the "gilets jaunes" (yellow jackets) protests that have been occurring in France. For Lokad, the use of connected ‘IOT’ devices can improve the accuracy of lead time calculations. We investigate and evaluate how the two tools can work well together and how having a real time perspective of operations companies can make better economic decisions. To conclude, we learn how understanding the location of stock and shipments has been used in the past to quickly anticipate problems and improve the efficiency of supply chains as a whole. ****** Episode Map 0:00:08 Introduction 0:00:36 Pierre, perhaps you could tell us a little more about your background and how Shippeo came about? 0:01:21 What exactly is real time visibility? 0:02:51 Pierre, can you explain to us a little more about how your technology actually works in practice? 0:03:37 From a supply chain perspective why is real time visibility something we are interested in here at Lokad? 0:05:35 How does it compare to the approach we take to lead times? 0:07:02 Pierre, what are some of the technical challenges that you face from working in real time? 0:08:09 It seems there is so much data being collected these days. Do we really need all this data in supply chain? 0:09:57 Where do you draw the line in terms of the data collected? 0:12:46 Often, when we talk of supply chains, we talk more in terms of days rather than exact hours and minutes. Do we really need this level of granularity? 0:16:19 Who should be Shippeo’s main customers? Should it be the retailer or the shipping company itself? 0:16:57 Other than improving our understanding of lead times, why else is this interesting to Lokad? How can you see the two tools working well together? 0:19:43 Pierre, what is the key lesson you would like for our viewers to take from today regarding real time visibility in supply chains? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 44 - Predicting Luxury Purchasing Patterns
4 avr. 2019
Being located here in Paris we get exposure to some of the world's finest luxury brands. However, forecasting for these luxury brands and the luxury market is a completely different ball game, based on extremely high value products and sporadic, often difficult to track, purchasing patterns. In this episode of LokadTV, we learn a little more about the lucrative world of luxury products and try to understand how you can forecast for those items that we want and desire, rather than need. We learn more about the approach that is currently taken and why the luxury market is so unique from other industries from a forecasting perspective. Even in luxury brands, where one could think that money is no object, the pricing of a product has a real role to play. Assortment optimisation is also a major question that needs to be considered from multiple angles. Here, we discuss how prices can be determined with such an intermittent and sporadic sales history and why it is paramount to hold stock within a store to create demand. Demand generation and truly understanding your clientele are two central elements when it comes to the luxury sector, this former element meaning that a talented Store Manager can often be indispensable. We investigate Lokad’s take on the industry and learn how highly interconnected products and a highly structured market means that statistical optimisation can be successful. Finally, we go in depth on just why luxury brands rotate products and how to calculate the opportunity cost of taking a product away from the eyes of potential clients. ****** Episode Map 0:00:08 Introduction 0:00:32 The luxury market is very different to some of the more classic markets we work with. Perhaps we could start with what makes it so unique from a purchasing perspective. 0:04:52 How do they know which items they should put on display? 0:07:52 How about pricing? 0:11:14 Are we saying that those luxury brands are sort of gambling to get the initial pricing right from the start? 0:13:17 What is Lokad's take on this industry? It sounds like there is a lot of randomness going on here and sporadic sales, so what can we possibly do ? 0:17:37 Are we not actually predicting demand but optimizing the assortment of goods we sell? 0:18:55 What steps can a luxury brand take in order to work on their expertise, but also to improve on that and take into account a quantitative vision as well? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 42 - The Problem With Flowcasting
20 mars 2019
Flowcasting has been previously described as "The Holy Grail of demand-driven supply chain planning." But just what is it exactly? "Flowcasting the Retail Supply Chain", a book published in 2006, presents a series of techniques that were intended to revolutionize the retail industry. In this episode of LokadTV, we learn a little more about this concept and debate why a technique that was published in 2006 is still of interest today. This theory presents a lot of interesting ideas on paper, but when it was used it apparently didn't live up to expectations - here we try to understand why. We discuss how well flowcasting works in practice and try to comprehend exactly why and how it fell apart when actually implemented. The root causes seem to be linked to issues and missing insights that still persist within the supply chain industry today, so many will be doomed to make the same mistakes unless they can learn from them. We look at how the tool relates to what we do here at Lokad with Envision, our own in-house programming language, and we examine just what were the good insights that Flowcasting provided at the time. Finally, we take a closer look at whether flowcasting actually had the right vision and was just ahead of its time, simply lacking some of the mathematical and technological expertise required to really make it work. At the end of the day, supply chains are incredibly complex and there are simply no silver-bullet solutions, which is something that no amount of buzzwords can change. ****** Episode Map 0:00:08 Introduction 0:00:31 What flowcasting actually is and how it does work? 0:03:36 What do you mean by disaggregated? Are we really separating this down to every single individual SKU? 0:06:55 Why does it all fall apart? 0:10:11 If there were so many problems with the approach, what was the outcome when retailers actually tried this out? Were there any full scale disasters? 0:15:05 What are the key differences between flowcasting and what we do here at Lokad? 0:19:28 What is the flowcasting of 2019? 0:21.40 What is the key message of today? Should we give the book a read? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 32 - Generations of Machine Learning
12 déc. 2018
AI algorithms are being used to drive vehicles, translate languages and even identify cancers. As such they have captured the attention of the world's media, but these advances in machine learning technology are not the overnight sensation that many are led to believe. In this episode of LokadTV, we go back right to the start we investigate the gradual development of computational analysis over the last few decades and understand if this gradual evolution of the industry can give us any clues as to what the future may hold. We discover what the first generation of computational statistical analysis, based on the parametric models, looked like. In addition, we explore how the 80s and 90s welcomed the arrival of non-parametric statistical models - which increased the chance of overfitting -, while the new millennium saw the arrival of Deep Learning, characterised by "hyper-parametric" models. The increase in spending on research has had a real impact upon the computational capability. We discuss how something designed to support video games was actually revolutionary in terms of processing power. We also discuss the impact of technology such as the Cloud, which allowed us to store more data, more efficiently. Finally, we talk more in depth about the key problems that the “Big Four” are currently focusing on. We debate why the supply chain industry is often a few years behind the latest advances in technology, and to wrap things up, we try to understand how an executive can keep up in an environment that is constantly changing. ****** Episode Map 0:00:08 Introduction 000:36 When did the first generation of Machine Learning come about? What did it look like? 0:02:13 I imagine back then things were very different in the world of computational analysis. What was the main focus at the time? 0:03:23 How long did it take for the next generation to come about? 0:06:12 How did Machine Learning come about? What impact did it have? 0:07:58 What were the big improvements in technology and what were the big breakthroughs that really helped? 0:09:59 What was the impact of Deep Learning? What was the key difference between Deep Learning and standard Machine Learning? 0:14:36 What about the technology? What are the key advances which have contributed towards this advance in Machine Learning? 0:17:13 Certainly Machine Learning has gradually evolved over the last few decades. Can we already know what's coming up next? 0:19:14 Often, what we see in the suply chain industry is that it is a few years behind the Big Four in terms of what they are focusing on. Where are they putting their money at the moment in terms of research? 0:22:43 To conclude, as a supply chain executive, it seems you are entering an environment that is constantly changing. Everything you implement will be outdated by design. How can you possibly keep up? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news Learn more: https://www.lokad.com/deep-learning ******
LokadTV - Episode 35 - Terabyte Scalability for Supply Chains
16 janv. 2019
The ability to process vast amounts of data has been a long-standing requirement for the supply chain industry. However, this can be very costly both in terms of time and processing power when one considers that optimizing a whole supply chain can require hundreds of incremental adjustments. In this episode of LokadTV, we discuss the sheer amount of data that is managed within a supply chain and try to understand why there is a real need for an iterative approach to supply chain optimization and how this affects the scale of information being managed. We discuss the research and development Lokad has been conducting into Terabyte scalability in order to deal with these data requirements. We also evaluate why Envision, our home made programming language, is such a good tool for tackling these challenges when compared to other programming languages such as Python, Java, C#, C++, etc. - namely, because Envision is domain specific and constructed specifically for supply chain problems. Meanwhilst the others are generic programming languages, which are highly capable but have specific algorithms and "plumbing requirements" that are more difficult to tailor to supply chains. Hardware improvements are becoming increasingly more diversified. We try to understand the costs associated with these improvements and discuss why pure scalability is no longer that interesting now that we are able to process the data from the largest retail networks and supply chains in the world. We wrap things up by explaining what this breakthrough means in real world terms and finally learn what is next for Lokad in 2019, where we plan to put in place processes to address some of the more bizarre situations that can occur in supply chains. ****** Episode Map 0:00:08 Introduction 0:00:34 What exactly have you been working on in 2018? 0:01:24 What steps did you have to take to reach this improvement? 0:03:55 How does working with Envision compare with working with other programming languages? 0:06:27 Using Envision seems more simplistic than another programming language, is that right? 0:07:26 What were the key insights that led to these improvements? 0:10:47 How did implementing terabyte scalability affect the costs of working with data? 0:14:18 What does this breakthrough mean for the real world? 0:17:48 Why is there such an iterative approach? 0:21:04 What does this mean for the future of Lokad? How do you see this changing the outlook for 2019? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 58 - The Role of Returns in e-Commerce with Paul Bello
21 août 2019
The convenience of being able to return a product easily has revolutionised online shopping with customers now able to shop for a multitude of items which previously would only have been possible in stores. Many large e-commerces have embraced this approach with companies such as Amazon, Zappos and Zalando being amongst the first to popularise easy returns and introduce policies far more generous than was previously possible. In this episode we welcome Paul Bello from Revers.io to discuss with us this change of mindset and how returns have become such an important part of the e-commerce industry. Retailers estimate that around 30% of the items sold online are returned by customers. We learn why this strategy can be challenging from a logistics perspective and discuss how the burden is gradually shifting from the consumer to logistics providers to redistribute stock back to the main hub. We understand more about the impact that easy returns is having on the environment and how, with customers not being required to drive the last mile to a hypermarket, this approach can be argued to be beneficial. Finally we discuss the future role that returns will take in our shopping experience and debate whether a day will exist where stores do not exist at all. ****** Episode Map 0:00:08 - Introduction 0:00:41 - Perhaps you could start by telling us a little more about Revers.io? 0:01:45 - Joannes, today we are going to talk a little bit about the importance of returns in the e-commerce industry. What is your experience here? 0:03:20 - What are the main benefits of an easy returns policy? 0:04:10 - Is this a recent shift? When did these changes start being introduced? 0:05:06 - What kind of supply chain challenges does this ease of returns policy introduce? 0:07:50 - How do you differentiate between what is a return for a defect and what is a return just out of taste? 0:09:50 - Here at Lokad returns I assume a standard part of an optimization, so how do you work with that? 0:12:45 - Is that what you’ve observed from an IT perspective, that there is a real challenge integrating with ERP systems? 0:14:06 - Fundamentally with returns you will be forecasting for their tastes rather than for needs, is this harder to forecast for? 0:16:30 - From an environmental perspective can you see this willingness to promote returns continuing? 0:18:10 - Is it a challenge from a technical perspective to redistribute stock around a network? 0:21:26 - To conclude how do we see the future role that returns take in our shopping experience? Will we ever have to go to a store at all? ****** Lokad: Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: @lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ****** Revers.io: Revers.io: The SaaS platform is the leading solution in Return Management in Europe. Founded in 2009 as SAV Group, the company launches the Revers.io platform in 2018 to address the new challenges of e-commerce and retail. Check out their website: https://revers.io Follow them on LinkedIn: https://www.linkedin.com/company/reversio Follow them on Twitter: @revers_io Read their blog: https://content.revers.io/blog
LokadTV - Episode 53 - A Domain Specific Language for Supply Chain
18 juin 2019
A domain-specific language, or DSL, is a computer language that is specialized to a particular domain. These can be incredibly diverse, ranging from common tools such as HTML for web pages to specific languages that are only used by one single piece of software, much like the DSL that is used here at Lokad for supply chain optimization. In this episode of LokadTV we find out a little more about how DSLs work, how they're developed and just why they can be advantageous when compared to more mainstream general-purpose programming languages such as Java, Python, etc. We explore the process of creating such a language from scratch and we discuss the roots that early DSLs had in algebraic modeling languages. We also discuss exactly how DSLs are used and applied in "the real word". For example, Microsoft Excel is the archetype of a successful DSL that gives us the flexibility to code logic for ourselves whilst working with the constraints of a decently large database. We consider the major advantages of using a DSL compared to more common programming languages and learn how they can equip a software engineer with the necessary tools to solve certain classes of problems quickly, reliably and with as little friction as possible, without requiring access to all the underlying technology. To conclude, we discuss the various challenges and we question whether a start-up company setting out now should consider developing its own programming language, as was Lokad decided to do a few years ago. ****** Episode Map 0:00:08 - Introduction 0:00:38 - What are DSLs? 0:02:08 - What are the problems in the real world we use DSLs for? 0:04:09 - Why are you not using more mainstream programming languages for these tasks? 0:05:25 - Why was a DSL so interesting to Lokad as a Supply Chain company? 0:07:25 - Does using a more mainstream language mean that configuration would have taken more time? 0:09:28 - Does using a DSL introduce any limitations? Does it stop you from implementing anything you would like to? 0:12:54 - How long does it take to develop a language like this? How long did it take at Lokad? 0:14:48 - If you were a startup starting out now, would you recommend setting out on that path and creating your own programming language? 0:18:08 - What is the key message here? 0:20:03 - What are the industries you see as working well with their own DSL? 0:21:20 - Conclusion ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 60 - Pseudo-science in supply chains
18 sept. 2019
From aeroplanes to internet banking, often as humans we have to place our trust in things we don’t completely understand. This overconfidence in science, often referred to as ‘Scientism’, is unfortunately all too frequently seen in the Supply Chain industry. In this episode we investigate the elements of a Supply Chain which are so difficult to model and understand how the dark art of forecasting can result in many professionals overcomplicating the challenges they are faced with. Scientism can be said to be a form of naive rationalisation, where a person takes a first order problem and makes incorrect conclusions without assessing the far reaching consequences. We discuss why the Supply Chain industry is often so happy to rely on mathematical models which they don’t fully understand and whether something that something that looks clever on the surface, actually always is in reality. Finally we learn how companies can fight the illusion that everything can be solved with numbers and how instead they can promote the importance of high-level judgement. ****** Episode Map 0:00:08 - Introduction 0:00:35 - What is Scientism? 0:02:18 - Are there any real world examples of how people have become over reliant on science? 0:04:06 - In a supply chain what is an example of things that look easy on the service but when you get into aren’t so rational? 0:06:49 - What’s the alternative? 0:08:26 - How can these oversimplifications impact on a Supply Chain professional? What is the result of them? 0:10:43 - Has anyone noticed the shortfalls of their approaches? 0:13:36 - Humans are naturally risk averse, is there really an alternative to using these scientific approaches? 0:15:40 - You could argue that some of our clients have a fair bit of naive rationalism at Lokad. How do you ensure our clients at Lokad understand everything we do? 0:18:27 - What’s the key lesson? It’s good to have scientific approaches but they need to be combined with a fair bit of common sense too? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 64 - The Future of ERP's
13 nov. 2019
Lokad and Microsoft are both digital natives and software companies that enable their customers to prosper in an increasingly challenging digital world. Here, we discuss the development of ERPs, from their humble beginnings to the well-known product they are today and try to understand the potential they have for the future. In this episode of LokadTV, we are joined by Akshey Gupta, who is responsible for Microsoft Dynamics ERP & supply chain solution sales in Europe, the Middle East and Africa. Akshey has over 20 years of experience in ERP, Big Data and AI solutions that are specialised in planning and optimization. He has helped to develop Microsoft Dynamics ERP solutions, looking specifically at ways to integrate the various new technologies available today. We look more closely at how ERPs came about. In the 80's, interconnecting products was extremely difficult, so ERPs as an 'all-in-one solution' gave software vendors a huge boost that created many major players in the market. However, nowadays with the Cloud and other resources, interconnectivity is no longer an issue, which has brought a massive wave of change and novelty. One of the biggest changes to ERPs is that they have become smaller and simpler - more focused. It's now much rarer that companies purchase "monolith" solutions, instead preferring modular solutions for specific domains, such as customer service, finance, etc. Whilst simplicity is indeed a noble goal, for supply chains this isn't always the case, in particular due to the sheer amount of data to crunch under the hood of the various ERPs that Lokad encounters. A major benefit ERPs have brought is the adoption of a common language between businesses and users, which have made multiple business processes that much more efficient. We talk more about the impact of this. To conclude, we discuss in greater detail the importance of the user interface and how to make this more receptive and intelligent. ****** Episode Map 0:00:08 - Introduction 0:00:37 - Akshey, perhaps you could start by telling us a little more about your background and your role at Microsoft? 0:01:41 - Could you give us an overview of the history of ERPs? 0:04:18 - What’s your take on the current state of the ERP market? 0:06:52 - How well are ERP solutions performing from your perspective? 0:08:44 - ERPs have to provide a whole range of tools. What sort of challenges does this introduce? 0:11:27 - Would you agree with that? Is that the best way to introduce a bit of simplification? 0:12:57 - What is the vision at Microsoft over the next decade concerning the idea of a common data model? 0:15:50 - Talking about AI, which are the trends you see staying put over the next decade or so? 0:19:26 - Why do you think the user experience has been left behind when we compare B2B technology to B2C applications? 0:23:02 - We see a lot of customers getting tied up in buzzwords. Would you say that one of the challenges for the future is giving them the opportunity to understand the actual mathematical optimizations that are happening in the background? 0:26:34 - Would you say that, with the advances we are seeing in technology, people are ready to embrace change and that digital transformation is happening quickly right now? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 36 - The Problem With Proofs Of Concept
30 janv. 2019
Proofs of concept (POC) are one of the most common requests we get from prospective clients wanting to try out the Quantitative Supply Chain method for themselves. However, this is something we frequently decline. Why? Because often it can hurt the client's company as well as impacting Lokad negatively. In this episode of LokadTV, we try to help differentiate between the multitude of varied softwares out there and give insights into how each company approaches a problem. POCs do work well for narrow, very specific questions. However, supply chains present a very distributed challenge that are difficultly framed by a POC. We explain why, at the end of the day, POCs don’t actually work for supply chain, despite their stark presence within the industry. Supply chains are incredibly complex and POCs fail to take into account the bigger picture, due to their short time frame that doesn't allow for a proper assessment of key elements (such as lead times). Therefore, we try to understand some of the common problems that can be encountered and what a company should be doing instead if they want to evaluate and choose between the vast range of supply chain softwares that exist on the market nowadays. POCs have been around for decades and often people assume that the accuracy of a solution is stable over time. Sadly, it rarely is. We discuss exactly why and learn how backtesting can give an overly simplistic solution to problems that are fundamentally far more difficult. ****** Episode Map 0:00:08 Introduction 0:00:35 What are the industries where POCs actually work? 0:02:22 What characterizes POCs as an open problem? 0:03:23 POCs don’t work just for the quantitative supply chain, or for the supply chain industry as a whole? 0:06:54 For how long should you persevere with a POC before seeing a result? 0:08:50 Why is gathering data so difficult? 0:12:20 Why doesn't backtesting really work? 0:15:10 What are some of the key problems that you have experienced when doing POCs? 0:17:34 What are the alternatives to POCs? 0:20:23 Can you really envisage a time when POCs are not part of normal business? 0:22:06 What is the key message of today’s episode? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 39 - Is Pricing Optimization Really Possible?
20 févr. 2019
One of the first things we're taught in basic economics is that price is inherently linked to demand. There is no demand without price. However, despite pricing being such an integral part of a demand forecast, until now the vast amount of variabilities meant that modelling the link between the two has been intrinsically difficult. Pricing has become the elephant in the room. To compensate, many companies use micro optimizations of a moving average, or even more simplistic Excel models to set prices. Classic supply chain optimisation tools focus mainly on demand, with pricing being pretty much inexistant, creating an enormous blind spot in this vital area. In this episode of LokadTV, we explore the concept of pricing optimization and learn how, instead of pricing being just something you need to forecast, it can - and should - be something you engineer into your supply chain solutions. Up until now, one of the main challenges has been understanding the vast number of external factors that can affect sales. We discuss how well existing techniques work and understand how much trust can actually be placed in these models. In addition, we learn how the latest advances in machine learning mean that a company can keep track of the shear number of variables and why machines are so well equipped for this task, particularly when there is lots of "noise". Finally, we discuss the technical requirements needed to implement pricing optimization and what does a company actually need to put this in place. We also investigate how the latest advances in machine learning and big data mean that pricing optimization is now no longer an aspiration of the future, but a very real possibility for businesses today. ****** Episode Map 0:00:08 Introduction 0:00:31 How is pricing currently approached from a Supply Chain perspective? 0:01:25 How well does the pricing work as a mechanism? 0:02:47 Is that the reason why pricing isn’t really taken into account? 0:04:11 Where do you start from for a pricing optimization initiative? 0:05:34 Are there any companies that are actually doing pricing optimization successfully now? 0:07:14 What is the basis of the dynamic pricing policy? 0:09:06 How can you build a forecast that works well with pricing? 0:11:11 Is this where a probabilistic approach fits in? 0:14:09 What are the technical requirements that a company needs in order to optimize their prices? 0:16:09 How does this differ from a more traditional S&OP approach? 0:17:34 How important is it to keep track of the competitors’ pricing? 0:19:21 Can you envisage a time when a company can set a pricing point knowing basically what profits they will get in return? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 54 - New Media for New Supply Chains
26 juin 2019
The supply chain industry arguably lacks some of the glitz and glamour of other industries with sparse media coverage and a lack of large influencers. However with the internet gradually breeding a smaller community of supply chain aficionados, the industry is gradually evolving. In this episode of LokadTV we welcome Sarah Barnes-Humphrey, the presenter of the podcast ‘Let’s Talk Supply Chains’ and one of Canada’s most influential women working in supply chain, live from Toronto to discuss the role of the media in this evolution and the impact it is having on promoting best practice amongst the next generation of supply chain professionals. The use of buzzwords and acronyms has grown somewhat exponentially over the last few years. We discuss whether there are too many and what the industry can do to move towards something with a little more substance. We learn about how the messy structure of the supply chain industry and how an industry, which has classically communicated through gossip, is starting to collaborate and share knowledge. Finally we understand the biggest challenges which face the media and understand the responsibility not to ‘overstate’ the potential of young technology. ****** Episode Map 0:00:08 - Introduction 0:00:40 - Perhaps tell us a little more about your background? 0:03:16 - Currently you’re working on a new series called The Trade Squad. What’s the idea behind this? 0:04:36 - Today our topic is Media in SC’s, certainly not quite as glamorous as some other industries. What’s your take on it? 0:07:22 - An industry which has it’s fair share of buzzwords, do you think there are too many of them? 0:10:47 - What about this idea of fake news? Now we are in the age of free information, how do you actually know who is a trustworthy source of news? 0:12:09 - Can you see influencers coming through in the Supply Chain industry? 0:15:10 - What have you observed in the way that knowledge is presently passed around the industry? 0:16:25 - What has changed in the Supply Chain industry over the last decade or so? 0:20:06 - What challenges can you see from a media perspective over the next decade? 0:22:08 - What are your hopes for LokadTV for the future? Why did you start this initiative? 0:24:42 - An industry which might need a little more fun. Can you see this happening and how do you see this evolving? 0:27:30 - Can Supply Chains be sexy!? Like we have seen in other industries? 0:28:22 - Conclusion ****** Lokad: Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ****** Lets Talk Supply Chain: Website: www.letstalksupplychain.com Linkedin: https://www.linkedin.com/company/letstalksu...ewAsMember=true Twitter: https://twitter.com/letstalkschain or @LetsTalkSChain Instagram: https://www.instagram.com/letstalksupplychain/?hl=en or @letstalksupplychain Sarah Barnes-Humphrey: Linkedin: https://www.linkedin.com/in/sarahbarnescitp/ Twitter: @bevictoryus Instagram: @bevictoryus
LokadTV - Episode 47 - The Application of Expressive Machine Learning (Differentiable Programming 3)
24 avr. 2019
In this final episode we conclude our short series on Differentiable Programming by looking at some of its potential use cases and discuss the far reaching consequences it can have throughout a supply chain. We learn how Differentiable Programming can be used to combine challenges that previously were broached in complete isolation and how the approach varies between different verticals. We investigate the problems that can be improved upon by applying Differentiable Programming techniques and explore the various positive impacts that this exciting new technology can have. Differentiable Programming can also be used to divide and conquer silos, a key element for many supply chains. By moving away from the classic time-series forecast, Differentiable Programming can take in to account a client's point of view when they enter a retail point of sale, something that allows much more intelligent and relevant purchasing decisions to be made. We talk about some of the other benefits of this approach and learn how it can be applied throughout a supply chain, from the point of sale to warehousing, through multi-echelon supply chain challenges. Finally, we compare this approach to previous iterations of Lokad's technology and learn about the critical insights that Differentiable Programming can deliver through increased expressiveness. But nobody can deny that Differentiable Programming is anything but straightforward. At the end of the day, are we using a sledgehammer to crack a nut when a much simpler tool would do? We explain why we don't think that's the case. ****** Episode Map 0:00:08 Introduction 0:00:30 What are some of the problems which can be improved by applying Differentiable Programming techniques? 0:02:55 What is the game changing property which makes this possible? 0:06:03 How about we look at things from a warehousing level. Is it mostly by forecasting demand more accurately that Differentiable Drogramming can help us ? 0:08:10 Was this something we could do previously with the existing techniques? 0:10:39 How about Differentiable Programming for manufacturing constraints and for those multi-echelon Supply Chain challenges? 0:14:16 Is this where the idea of modelling outcomes that are not completely deterministic comes in? 0:16:14 What you are saying is that Differentiable Programming can change depending on the different verticals. Is that right? 0:19:27 The problem that many people will have it that Differentiable Programming is very complex. Are we not using a sledgehammer to crack a nut and using it to solve problems which could actually be approached with a simple solution? 0:22:06 What are the critical insights that Differentiable Programming can provide that previously were not possible? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 48 - Toxic Patterns In Supply Chain Software
7 mai 2019
It often seems that when it comes to Supply Chain software, we simply use them out of necessity rather than because they are truly ‘great’ products. In this episode of LokadTV we explore why we are so “out of love” with the products we use in the Supply Chain industry and learn what are the key symptoms of the dismal IT landscape many companies find themselves in nowadays. So what makes a truly great product? We discuss the recipe for a truly great piece of software and learn about some of the common pitfalls that can be encountered when creating this truly perfect product. On top of all this, many of the smaller, more pioneering players are gradually being acquired by larger companies who often milk the value of the companies rather than innovating and improving. We explore some of the root causes behind some of these worrying patterns and learn how companies can break the mold and escape a monolithic approach. In addition, we discuss why implementing exactly what a client requests can lead to the failure of a Supply Chain initiative and why ‘design by committee’ rarely works. Supply Chains are highly complex and fragile it often only takes one badly implemented ERP to wreak havoc and even destroy a company completely. The tough question enterprise software companies often need to ask themselves is to what extent do they actually listen to their clients. To quote Henry Ford, "“If I had asked people what they wanted, they would have said faster horses.” Plus, the larger your company is, the harder it is to be truly innovative. Even huge companies such as Google actually have very small teams that work on specific developments. So what do you do, fire half of your current R&D team? All of this is of course often highly counterintuitive and not at all an easy or feasible task. ****** Episode Map 0:00:08 Introduction 0:00:33 Why is it that we are so “out of love” with the products we use in the Supply Chain context? 0:03:10 What is the root cause beyond these worrying trends? 0:05:56 What does the market look like then? 0:08:04 What are the key differences between the approach of small companies compared to the larger ones? 0:11:14 What is so bad about the culture in those large companies? Why is it so difficult to change? 0:13:40 What are some of the pitfalls which you can encounter when creating this truly perfect product? 0:16:31 How can some of these larger companies reinvent themselves? 0:17:38 What can smaller companies do in order to break the mold? 0:20:45 How can we conclude today? Are these toxic patterns here to stay? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 67 - Software Design for Supply Chains
18 déc. 2019
When starting a company, there are a number of strategic decisions that have a very real impact on future operations. Physical decisions, such as location and vertical, have an obvious impact however the very design of a piece of software is something that is often poorly understood and has an impact that is often more far-reaching. In this episode of LokadTV, we try to expand on how these software choices can end up ‘pigeonholing’ a company and what are some of the pitfalls to look out for. Most modern supply chains rely on a complex web of software, from machinery such as conveyor belts and barcode scanners, to ERPs, MRPs, etc. Usually, the problems don't lie in an obvious issue like a bug, but more in the applicative landscape, which is to say more pervasive, design-related problems. For example, software is slow or simply not intuitive, it's hard to modify the systems or even to update them. There is also the immense complexity of real time systems. Most supply chain systems are "real time", i.e. picking one unit off a shelf decrements the stock level immediately, which makes a lot of sense. Unfortunately, as soon as software is designed for real-time, any sophisticated calculation (such as a forecast) will be difficult to implement. Why? Because the software is designed for small, swift and simple operations. Anything else will slow it down too much. Often, companies end up with a growing backlog of non-real time elements that clog the system. In addition, when designing software you need to take into account the time scale you're operating with. Whether it needs sub millisecond response times, or a response time that takes place within a few seconds or managing decisions that can take years (locating a new factory for example), each requires a different type of software. To wrap things up, we discuss the major differences between single and multi-tenant software. There's the all important question of customizing, which creates operational problems for the software vendor as there are multiple variants of their programmes running, which in turn creates huge versioning issues. This is a notable challenge for Oracle for example. We can observe that the market is moving towards multi-tenant, SaaS, systems with one codebase for everyone, such as Microsoft is doing. ****** Episode Map 0:00:08 - Introduction 0:00:35 - What are the challenges that you have seen? 0:02:28 - Which are the important features of a software architecture? 0:05:09 - How obvious are these challenges? 0:09:11 - In a supply chain piece of software, what are the key core assumptions that are being made? Which ones are not really working? 0:12:18 - Which are the key differences between a single tenant piece of software and a multi-tenant one? 0:15:33 - Would you say that the marketplace is moving towards that SaaS model? Why is it better? 0:17:55 - What were the core assumptions that you made at Lokad? 0:21:33 - What is our main conclusion for today’s episode? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 68 - Real-Time Route Optimization
7 janv. 2020
With the latest advances in crowdsourced data, we are now able to forecast the impact of traffic congestion and optimize our routes more accurately than ever before. For this episode of LokadTV, we are joined by Cédric Hervet to discuss how real-time route optimization has changed the way delivery companies operate and how the research into AI and quantum computing could very well be a major game-changer in the future. Cédric is the Co-founder and Head of R&D at Kardinal, a route optimization software company. Kardinal's philosophy is that humans shouldn't be removed from the equation when it comes to optimizing routes and delivery times, as the human brain is equipped to deal with situations and has prior knowledge that an algorithm simply can't replicate. Instead, Kardinal seeks to combine cutting-edge technology with human intelligence for peak optimization. From a supply chain perspective the time-scale isn't the same, as route decisions can be re-challenged every minute. Lokad optimizes decisions for the next day or even for the next year ahead, for example rebalancing inventory between locations such as stores and warehouses, which naturally depends heavily on the crucial agility and flexibility that route optimization softwares can provide. More agility for supply routes means a greater range of possible optimization at a lower cost. A major problem is the number of stops that need to be visited by a transporter. There are often such an overwhelming number of combinations that it would take years to compute, requiring algorithms that work more intelligently than just numerating. Accurate data is key here, otherwise the probability of unfeasible routes being suggested is very high. In addition, we discuss how Google has been a major player in this domain, absolutely transforming how routes are optimized and inspiring many other companies. We also talk about the various complexities that come with working in real-time, whether today we rely too much on the major players, like Google and Amazon, and whether map data should be a "common good". To conclude, we go into more detail about the exciting new developments in AI, such as reinforcement learning and the "quantum supremacy" announced by Google and how they can be applied to the various problematics that remain in route optimization. ****** Episode Map 0:00:08 Introduction 0:00:29 Cédric, perhaps you can start by telling us a little more about Kardinal? 0:02:49 Using the human brain as an addition to an optimization, is that something you would agree on? 0:03:29 Why is real time route optimization interesting to you from a supply chain perspective? 0:05:13 How has route optimization developed over the last few years? 0:08:07 Which are the key players that have driven this growth in route optimization? 0:12:45 From a technical perspective, what sort of challenges does work in real time introduce? 0:15:31 Users can nowadays control pieces of data. Do you think this has a positive impact? 0:19:52 From a data perspective would you say that we are now too reliant on too few companies like Google, Amazon or Microsoft? 0:22:06 In terms of R&D, what do you see as being the biggest areas of interest over the next few years? ****** Lokad: Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ****** Kardinal: Check out the Kardinal website: https://kardinal.ai/ Follow Kardinal on LinkedIn: https://www.linkedin.com/company/kardinalai/
LokadTV - Episode 63 - Fresh Food Supply Chain Challenges
30 oct. 2019
Food trading is probably one of the earliest commercial activities recorded in the whole of human history. However, despite this initial head start, it's an industry that often lags behind in terms of cutting edge technology when compared to other verticals. In this episode of LokadTV, we learn more about the vast array of challenges that must be overcome in order to provide the variety and freshness in food retail that modern shoppers now demand. The main particularities of the fresh food industry are its massive size and the fact that it has been around for such a long time. It's a combination of factors that is somewhat rare, therefore there are very few industries that are comparable to the fresh food industry in this respect. Due to its age, a lot of the solutions for its various problems were found way before many technological advances took place, which often complicates its supply chain matters. We can say that, for many modern supply chains, everything is characterized by packaging and barcodes, but fresh food supply chains are often dealing with raw materials, such as meats, that are sold by weight and are not packaged in a standardized way. This is an aspect that has disappeared from pretty much every other industry - even the chemicals industry packages and measures its products with barcodes and fixed units. Additionally, fresh food is actually an umbrella term that groups together various different supply chains, each with their own specificities. For example, frozen food has its own challenges when compared to fresh products produced locally and again when compared to fresh products that have to be imported from overseas. There is also the all important factor of perishability. We discuss in more detail how the SKU (stock keeping unit), a supply chain cornerstone, usually doesn't take into account this crucial element of expiry date. To top it off, supermarkets and hypermarkets are "noisy" environments in terms of data and tracking your stock within these environments can often be very tricky. To give a simple example, customers often pick up items only to put them back in the wrong place because they found something better. To wrap things up, we discuss the impact of promotions and the richness of data that hypermarkets possess, in part due to the use of customer loyalty cards. However, despite what the media says, most hypermarkets aren't even using this data to its full potential. We also talk about how the introduction of AmazonFresh and other e-commerce players in the industry will have an effect on more traditional fresh food vendors. ****** Episode Map 0:00:08 - Introduction 0:00:31 - Which are the things that make the food industry so particular? 0:02:22 - Do you mean that these companies may not be so advanced from a data perspective point of view? 0:03:48 - What are the key challenges the industry faces? 0:06:01 - How are big supermarkets managing things like expiry dates? 0:08:36 - What about the suppliers' side? I imagine they have their own complications with harvests and weather, which make things less than straightforward. 0:11:13 - How easy is it to multi-source and use stock from lots of different suppliers? 0:13:08 - What about promotions? How are these agreed between distributor and supplier? 0:16:11 - From a data perspective, hypermarkets are tracking what we buy through the use of loyalty cards. How much is this data actually used? 0:19:41 - How about the growth of e-commerce within the industry? How is the entry of companies such as Amazon Fresh affecting the industry? 0:22:49 - To conclude, why is the fresh food industry slightly behind in terms of technology nowadays? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV France - Optimiser c'est chiffrer en euros
27 févr. 2019
We can all agree that for almost any business, optimizing your supply chain should factor amongst the major priorities and to optimize you need to measure. But with so many factors and so much data that flows though any modern supply chain, what exactly should you be measuring and why? For this episode of LokadTV, we welcome Laurent Livolsi, co-author of "La Logistique une affaire d'Etat ?" (Logistics - a question for the State?) researcher and lecturer in Supply Chain Management at Aix-Marseille University, who also directs a department of France's national rail systems (SNCF) in the restructuration of its logistics and supply chain. Along with Lokad's CEO, Joannès Vermorel, he gives his opinion on this matter. Together we discuss in more detail the numerous facets that play a role in supply chain optimisation, for example the different types of stock and how best to optimize shipments and containers. What can be said is that a supply chain is in fact an entire map of decisions that have to be taken every day. However, what it all really boils down to is optimizing in euros, dollars - or whatever your currency is - for a company to remain profitable. With so many decisions to be made, how do you ensure that your decision will be the most profitable one? To conclude, we go into more detail about how the main obstacles blocking many businesses from having more effective supply chains are actually internal ones. For instance, having to try and go against company departments that are resistant to change and even fearful of the new technological tools that are available today. We try to investigate how change can successfully be introduced in such circumstances. ****** Optimiser sa supply chain devient crucial. Pour optimiser, il faut commencer par mesurer. Mais de quelle métrique parlons nous? Robotiser les processus? Servir plus de clients? Minimiser les stocks? Améliorer la prévision de la demande? Mieux remplir ses containers? A priori, autant d’indicateurs que de sujets! La performance en supply chain est un vrai serpent de mer. Alors comment y voir plus clair? Comment réconcilier tout cela? Comment piloter plus efficacement? Lokad TV accueille Laurent Livolsi, qui est maître de conférences en sciences de gestion à Aix-Marseille Université. Chercheur au Centre de recherche sur le transport et la logistique (CRET-LOG), il dirige la chaire SNCF Logistics sur la structuration et le pilotage des supply chains. Laurent essaient de donner de la cohérence à la question en proposant une vision plus objective du pilotage de la supply chain impliquant notamment des méthodes et des métriques plus financiarisées. ****** Episode Map 0:00:08 Introduction 0:00:53 Laurent, can you tell us a little bit more about yourself? 0:01:58 What are we looking for when we want to optimize a company's profitability? 0:06:55 What about this "trasversal approach" that we see in companies nowadays? 0:08:39 How should the different departments communicate? 0:10:09 Is that something we experience here at Lokad with our clients? 0:14:18 Is there a risk associated with quantifying everything in euros? 0:21:22 What are the elements that allow us to decide whether to buy something or not? 0:27:24 Laurent, which are your projects for the future? 0:28:44 About AI and blockchain. How are they integrated into Lokad? How about the future? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 40 - Blackboxing and Whiteboxing
6 mars 2019
In computer science, a black box refers to a system or an object that can be viewed both in terms of its inputs and outputs without any knowledge of its internal workings, which can evidently be highly problematic. This phenomenon is something that is being observed more and more frequently, particularly with the use of non-trivial numerical recipes and the rapid growth in popularity of Artificial Intelligence technology. In this episode, we learn how blackboxing can come about in supply chains and why to a certain extent it is exhibited in every single ERP with the computation of safety stock. Often, this can be harmful for companies as decisions are made without a full and sufficiently broad comprehension of what is happening within. Supply Chains are already such complex systems, involving so many products and people, that they naturally have their own opacities. Therefore, adding even more layers of opacity obviously can't bring any benefits. Frequently, companies respond to blackboxing issues by requesting more information, KPIs for example, which just adds more complexity, more opacity and so the vicious circle continues. So just what is the solution? Here, we investigate the antithesis, something that is known as ‘Whiteboxing’. We understand how by building an environment that supports checking, whiteboxing can provide a way of verifying that the results you are producing are sane. We discuss how this works in practice and how at Lokad we use Envision, our in-house created programming language, to defeat opacity, therefore ensuring that our clients can easily see that all operations are on show. ****** Episode Map 0:00:08 Introduction 0:00:30 What is "Blackboxing" about? 0:03:20 How widespread is this problem? Is this something we frequently observe in the industry? 0:05:11 Why is this white box approach occurring? 0:06:04 Do you have a real life example of how these black box issues have affected companies in the real world? 0:09:01 Why the "Whiteboxing" approach is so different? 0:11:26 How does it actually work in practice? 0:14:20 What is it about economic drivers that are so useful? 0:15:18 What about the Lokad approach that makes "Whiteboxing" so possible? 0:17:36 Is there anything I can do to improve my understanding of what is going on? 0:21:07 Why is "Whiteboxing" so important? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 66 - How Sustainable Are Our Supply Chains?
4 déc. 2019
With Extinction Rebellion, Greta Thunberg and the Netflix hit series "Our Planet", it seems that today people are paying attention to the issue of sustainability more than ever. Can we say we've finally reached a turning point? In this episode of LokadTV, we welcome Valentina Carbone, a Professor and researcher specialised in supply chain management, economy and sustainability from ESCP Europe, and scientific co-director of the ESCP Deloitte Chair. Together, we discuss whether this pressure has made its way to the world of supply chains and how companies are changing their approach to act in a more environmentally friendly manner. Luckily, even if it's from "greedy" perspective, supply chain optimisation goes hand in hand with sustainability. Nowadays, companies are increasingly looking at how to make their supply chains more lean and efficient, which, as a result, is better for the planet. Is this a sustainable trend however? For example, there are often unintended consequences such as e-waste. No matter what, supply chains remain complex systems that cannot be underestimated. Unfortunately, best intentions don't always provide the best solutions. Often, by solving one problem it only in fact displaces it - the debate over clean energy sources and how they're constructed is an example of this. To conclude, we debate where the responsability should lie - with companies or consumers - and how best to shape our habits to move towards a sustainable lifestyle that doesn't decrease our quality of life. ****** Episode Map 0:00:08 - Introduction 0:00:31 - Could you start by telling us a little more about your background and your research interests? 0:01:19 - What have you observed regarding sustainability in Supply Chains over the last couple of years? 0:02:26 - Would you say that companies are acting as efficiently as they possibly can, or are they maximizing their profits at the expense of the environment? 0:03:40 - Are Supply Chains currently acting in a sustainable manner? 0:06:30 - What activities have you observed as being particularly harmful and what is the biggest culprit? 0:08:08 - Do you agree on that? 0:10:52 - Would you say that it is a “flavour of the month” type of thing? 0:13:59 - Do you see local Supply Chains as a solution for the future? 0:17:41 - What can we do from the consumer’s side? 0:19:00 - Can companies be trusted? 0:21:09 - How do you see the next generation of Supply Chains adapting and changing their approach? 0:23:05 - As a final word, do you believe that the future generations will have a higher need for a greater environmentalism? 0:25:02 - With regards to sustainability, would you say that we are heading in the right direction? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 46 - The Origin Of A New Buzzword (Differentiable Programming 2)
17 avr. 2019
Yann LeCun, the director of AI research at Facebook, recently argued that ‘Deep Learning’ has out-lived its usefulness. As such, he proposed that it’s time for a new buzzword to reflect the development of a new kind of software - Differentiable Programming. In this episode of LokadTV, we continue our mini-series by looking at Differentiable Programming's origins and understanding where this technology actually emerged from. We discuss how the thinking behind it varies from the neural networks of old and why we are revisiting theories such as stochastic gradient descents and automatic differentiation, which have already been around for well over 50 years. For Differentiable Programming to come about, there were a number of basic intuitions that needed to be proved completely wrong, but its development has been incredibly incremental. We understand why the classic idea of mimicking biological processes through technology leads to inefficiencies and discuss how software can have an affinity with its underlying hardware. We learn how to combine the different statistical models that are currently being used through floating points. Finally, we discuss how Differential Programming provides the ability to capture highly complex patterns and the capability of an open toolkit for optimization. Yet, how exactly can new technological advances such as image and sound recognition, incredible though they may be, possibly be linked to supply chain optimization? Watch the video and find out. ****** Episode Map 0:00:08 Introduction 0:00:29 Differentiable Programming: did we really need another buzzword? 0:06:28 It was quite an iterative approach to get to Differentiable programming. Is that right? 0:09:40 What was the inspiration behind Differentiable Programming? 0:12:30 How do you implement the code behind Differentiable Programming? 0:15:25 How can you know that you are going to have the right answer if there are those blank spaces? 0:16:22 How closely is the R&D we are doing here at Lokad linked to the work in Differentiable Programming they are doing at the Facebooks of the world? 0:18:19 How can AI problems, like image recognition, be related to supply chain? 0:20:15 What is the key benefit of Differentiable Programming to Lokad? Is it the idea of answering all those unknowns that are out there in the Supply Chain world? 0:22:17 What are the big challenges that Differentiable Programming introduces? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 37 - What Are Data Lakes?
6 févr. 2019
William Edwards Deming once famously said that “without data you're just another person with an opinion”. In this episode of LokadTV, we find out why he is absolutely right and tackle the subject of data lakes. We try to understand why many companies are failing to consider both how and where their data is stored, and instead are putting huge amounts of resources into expensive Business Intelligence tools that don't always do the job properly. Here we discuss the mulitple drawbacks of some of these tools and try to comprehend just why they are still so commonly used across the industry despite their shortcomings. So what exactly are data lakes and why should companies be that much more interested in them? Around 20 years ago the trend of data warehouses was sweeping the world of technology, but it sadly didn't live up to expectations. However, things have since vastly progressed and this is now something that is ready to be put in place properly. We investigate what exactly has changed and why now is the right time to revisit this topic. We try and understand how the mass of technological advancements is making it easier for companies to keep track of their processes. Finally, we discuss the history and downsides of Business Intelligence systems and why they might not be as efficient as they initially appear. We learn how easy it is to implement a data lake into an organisation and discover in more detail the various technical challenges that can be encountered when implementing a data lake. ****** Episode Map 0:00:08 Introduction 0:00:34 What is a data lake? 0:02:24 Around 20 years ago, we had the trend for data warehouses what has changed? 0:04:11 What changed in the mindsets and what changed in the way we are using data lakes? 0:06:29 What about today? 0:07:29 How do you know that the data you are actually using is good data? 0:13:12 Why should a big multinational company be interested in a data lake? 0:16:40 How easy is it to implement a data lake? 0:18:23 Why are data lakes something that hasn’t been widely adopted by companies at present? 0:20:05 How about the future, what’s next? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 62 - Willingness To Pay
15 oct. 2019
Willingness to pay is a basic economic concept that determines the maximum amount an individual is happy to pay for a specific good or service. This can be affected by many factors such as marketing and trends, and can often vary massively from consumer to consumer. One of the major factors that affects a customer's willingness to pay is quite obviously pricing. In this episode of LokadTV, we learn why pricing strategy decisions should definitely involve a company's supply chain department and the ways you can actually measure how much people are willing to pay through the use of statistics, in order to understand a potential customer's perception of value. Typically, pricing points are decided by the marketing department some companies even have their own specific pricing team, yet more often than not, a company's supply chain practitioners are sadly missing from these discussions when they should in fact be taking part. In addition, the situation frequently ends up getting segmented by the sheer number of teams: pricing, planning, production, forecasting, etc., and these teams don't always communicate well between themselves. Although it appears highly complex to evaluate an individual's perception of a product's worth, there are certain elements that can be leveraged, such as seasonality. However, many companies are not analyzing seasonality to its full potential, with only a small number of verticals managing to do so. We go into more detail about why from a consumer's point of view it would actually be beneficial for the market. It in fact makes the market more democratic for consumers when a company can, and does, master its customers' willingness to pay. To conclude, we underline the importance of quantitative modelization within your supply chain for an all-round better perception of your client base's willingness to pay and the fact that your supply chain experts should absolutely play a crucial role in evaluating this willingness to pay. ****** Episode Map 0:00:08 - Introduction 0:00:33 - Sounds basic, perhaps tell us a little more about this concept? 0:03:29 - What department is classically responsible for setting this pricing point and for determining how much someone is willing to pay? 0:04:55 - How much can companies actually shape what a consumer is willing to pay? 0:07:15 - How easy is it from a statistical perspective to determine someone's perspective of value? 0:10:19 - Are fashion companies not looking at the seasonality of willingness to pay with end of season sales? Is that not why they introduce these prices? 0:11:52 - Are there any verticals where companies are doing this well and taking a more quantitative approach? 0:12:51 - Seems certainly very personal, what sort of level of granularity are we looking at here? Are companies looking at each individual client’s willingness to pay? 0:15:10 - Bit worrying from a consumers perspective that being pushed into paying the maximum possible, is this idea interesting in terms of ethics? 0:19:38 - It’s so easy to check out what competitors are doing online. So I assume that we should be analysing the prices of competitors too? 0:20:55 - What should a company do to improve their approach to pricing to embrace the willingness to pay philosophy? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 65 - Bad Data
27 nov. 2019
"Bad Data" is often somewhat of a scapegoat when it comes to the failure of many supply chain optimization projects. However, when you explore this concept in more detail, you usually discover that it is a vague term that can hide a multitude of sins. In this episode of LokadTV, we explain why this is such an imprecise diagnostic and reveal some of the data challenges that can be encountered by both supply chain practitioners and software vendors alike. In fact, "Bad Data" is an easy and convenient excuse because data can't complain, it can't defend itself and - unlike a colleague - it won't take anything personally. But that doesn't mean that the data isn't without fault data related problems are usually the number one cause for failure when it comes to supply chain optimization projects. Yet, there are numerous misconceptions. For example, when we talk about "Bad Data" we usually think of corrupted data with incorrect numbers and typos, when really that's not the main issue. For over a decade, thanks to the use of barcode and scanning technology, the vast majority of data is correct in this regard. So where do the real data problems lie? Access to the data can be an issue, where old, out-of-date ERP systems are often to blame. Many of these systems are also not very "company friendly" when it comes to exporting and extracting data, some don't even have a relational sequel database backing them up for example. Data integration can be another problem. Sometimes companies can even be placed in difficult positions due to conflicts of interests between the external IT company responsible for integrating the data and software vendors. To wrap things up, we go into more detail about the key mistakes to avoid when handling and preparing supply chain related data - especially historical data - in order to be able to implement a supply chain optimization successfully. Supply chains are complex - this is unavoidable - with a richness of data that needs to be organised correctly if an optimization project is ever to work as intended. ****** Episode Map 0:00:08 - Introduction 0:00:31 - Why do you think that ‘bad data’ is an easy excuse? 0:01:31 - How can we be more precise? 0:03:06 - What are some of the challenges we can encounter that result in data being not so good? 0:06:26 - Changing an ERP system seems to be a headache for some of our clients. Which impact can this have upon the data? 0:09:45 - What about forecasting? How easy is it to spot issues with historical data if you are using it to inform forecasts for the future? 0:12:19 Which issues does scalability introduce? 0:17:14 How widespread would you say those problems are? 0:24:08 What are the key lessons to learn from today’s episode? There is actually a wide range of different problems that come under the umbrella of bad data! ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 57 - The Light and Dark of Shadow IT
7 août 2019
Shadow IT is the name given to IT systems which are created without explicit approval of the management. Often they are the result of exasperated staff trying to do their jobs more efficiently but these unofficial data flows can be difficult to maintain and have a higher risk to data security. In this episode we learn why these systems are created and understand what management can do to stop them becoming harmful to their organisations. Rather than being a specific Supply Chain challenge, Shadow IT is a phenomenon which can affect other departments too with IT departments struggling often lagging behind the needs of their staff. We learn about the potential security implications and the widespread impact these tools can have on a company. Finally we debate whether companies actually aware of the workarounds that their staff are introducing and learn what management can do to dissuade their staff from taking matters into their own hands. ****** Episode Map 0:00:08 - Introduction 0:00:32 - What exactly is Shadow IT? 0:02:27 - Is this just a specific supply chain issue or something we see around businesses as a whole? 0:04:39 - How does a problem such as this come about? How does it start? 0:05:29 - Why is it the IT departments are so behind the needs of their staff? 0:07:10 - Are companies actually aware of the workarounds that their staff are introducing? 0:09:22 - Is it such a problem? Haven’t users found a more efficient way of working? 0:11:15 - What impact can these tools have on a company as a whole? What about data security? 0:13:10 - What can management do about these Shadow IT systems? Is there anything they can do to prevent staff aren’t tempted to take matters into their own hands? 0:15:26 - What’s the conclusion today? Is the lesson that as Shadow IT is a human phenomenon we can never truly get rid of it? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 50 - The Positives Of Negative Knowledge
22 mai 2019
When it comes to assessing previous projects, companies are very good at recognising their successes, but often not so good at keeping track of their failures. In this episode, we learn why discussing failure is so difficult and how often it can end up being somewhat of a taboo subject, particularly in big companies. To err can be considered human and here we discuss the impact of this negative approach and learn how it often can result in future teams repeating the mistakes of their predecessors. We talk about how some of the best companies actually learn and document their failures - and also why relying on PowerPoint to articulate understanding can be dangerous... In Supply Chains there is lots of simple information that is not very difficult "in isolation". However, the high volume of data and possible decisions makes understanding the whole picture challenging. We discuss why in Supply Chains there are no guarantees for success, but a number of guarantees for failure and how without negative knowledge, having an understanding of these can be far more difficult. We try to see how different industries approach negative knowledge and in particular why the computer science domain and software initiatives can allow themselves to take more risks than a typical Supply Chain initiative. We also discuss toxic mottos such as "Get it right the first time", which is actually a recipe for disaster, forcing people to hide their failures instead of communicating them and building on them. Instead, we need to be ready to take risks: "Fail fast", a Silicon Valley motto, is a much more positive and constructive way of seeing things. Hence the importance of documenting our failures, poignantly summed up with a rather tragic anecdote from the Manhattan Project, where two pieces of uranium got too close. ****** Episode Map 0:00:08 Introduction 0:00:34 Today, we explore the concept of negative knowledge. What do we mean by this? 0:02:14 Let’s look at the soft domains. Why are those businesses so interested in negative knowledge? 0:04:09 What are the ways in which we can capture the negative knowledge? 0:06:51 How can you change this culture? 0:08:42 Which are the ways in which you can speed the failing process up? 0:12:39 How can companies learn from failures? 0:16:08 Are there any industries that are taking advantage from negative knowledge? 0:19:01 Are we not going to end up with lots of reports that nobody would ever read? 0:21:23 From a leadership perspective, should the leaders celebrate when their team is failing? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 59 - A/B Testing, Exploration vs. Exploitation
4 sept. 2019
A/B Testing is a sub-approach of experimental design which compares two variants in order to determine which is most effective. A good example of this is the placebo effect which compares new drugs against the status quo in order to determine how well they function. In this episode we learn why this type of testing is currently still being used in a number of industries and why it has historically been so popular. We learn how this approach is profoundly approach weak when applied to a Supply Chain and the complexities which mean alternative approaches work much better. In business the rules are constantly changing all of the time. We investigate the trade off between exploitation and exploration and why it can be beneficial to introduce some intentional error to algorithms in order to find out a little more information for the future. We debate whether this will be of interest to companies which normally prioritize profitability and learn whether is is possible to actually quantify knowledge. Finally we learn about the impact introducing noise can have on pricing optimization and understand how a Supply Chain professional can decide between the options which are worth exploring and the options which should remain consistent. ****** Episode Map 0:00:08 - Introduction 0:00:34 - What is A/B Testing? 0:01:50 - What types of testing are we talking about here? 0:02:37 - So the idea is to see what out of two possibilities perform the best? 0:03:31 - Why is this something which is of interest to us here at Lokad? 0:04:37 - How well does this technique actually work in the real world? 0:08:15 - What would be a better approach? 0:11:59 - How can we generate information on all of the possible scenarios within a Supply Chain? 0:14:49 - So we are talking about intentionally introducing a percentage error to find out more about what could possibly happen? 0:19:05 - Companies are normally most interested in maximising their profitability. As such is it difficult to get a company to incorporate these intentional errors? 0:21:19 - Is there any way of quantifying this knowledge and working out what it is worth to a company? 0:22:58 - How does this approach fit in with what we do at Lokad? Surely interesting noise fundamentally goes against this belief of maximising every possible purchase decision? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
LokadTV - Episode 41 - Data Security
13 mars 2019
With celebrities, businesses and even governments falling victim to hackers, data security has become a topic of huge media interest. In this episode of LokadTV, we discuss how, as cloud computing continues to gain in popularity and hacking techniques become more and more sophisticated, we can be fully confident that our data is safe. Nowadays we are more dependent on software and online services than ever and it's no surprise if cyber attacks are on the rise. In this video, we learn which criteria you should consider when determining if a company can be trusted, or instead should be avoided at all costs. For example, would you consider a large company who exposes tons of resources online as being cyber-secure? Would you outsource your systems to such a company? What do we, at Lokad, do as a company in order to keep our own systems safe from attacks? For us, security is one of our major concerns, running parallel to the accuracy of the forecasts we deliver. In this video, we reveal some of our own "secrets" and explain why we choose to rely on Microsoft Azure for our security and why we decided not to use any sequel or relational databases. We also look at the concept of hackers and "Whitehats", freelancers who spend their time trying to hack into companies' codes in order to find security issues that they will subsequently report to the company itself. Are they our allies in improving the security of IT systems? In addition, we debate on why the systems used by governments or military forces are among the most vulnerable in the world and why "security by obscurity" is no longer something to long for. Finally, we talk about the future. Can we possibly envisage a day when IT systems are completely safe and hacking becomes a relic of the past? Even though we are far from idle, there's a field where this can happen faster. Are you wondering which one? Supply Chain... ****** Episode Map 0:00:08 Introduction 0:00:30 Is data security a new issue? 0:01:58 Why is hacking a problem that seems to be occurring more and more frequently? 0:02:57 What techniques can you use in order to ensure your data is secure? 0:04:38 How can we know which companies we should trust? 0:06:09 What other techniques can we use to ensure that our system is safe? 0:09:10 What are the cultural issues that a company should be aware of and promote in order to increase their data security? 0:11:35 What are those white hats actually doing? 0:14:35 How do you draw the line between what is a white hat attack and something more malevolent? 0:16:36 Even governments are being hacked now, so how can you possibly be confident in the safety of your data? 0:20:48 What about those private networks that make things more vulnerable? 0:24:00 Can you ever envisage a day where hacking is a thing of the past? ****** Check out our website: https://www.lokad.com/ Follow us on LinkedIn: https://www.linkedin.com/company/lokad/ Follow us on Twitter: https://twitter.com/lokad Read our blog: https://blog.lokad.com/ Sign-up for the Lokad newsletter: https://www.lokad.com/home#news ******
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