We’ve been using Lokad daily for over 2 years to calculate our sales prices. It’s a tailored solution, especially given that our combined catalogs take in to account the 20 countries where we operate. It has really helped us to take our ability to generate value via our pricing to a whole new level. As well as being very powerful, Lokad’s solution gives us speed and reactivity, two elements that have become essential for any e- commerce.
Now 70% of our turnover and all the growth is through ecommerce. I started to think about a purchase suggestion system to enhance/automate our purchase flows. I was planning to build it myself but realized that these guys made exactly what I was looking for - but way better! we use the service on a daily basis to optimize and make purchase decisions. Lokad is not replacing the purchase managers but enhances the capacity and provides most valuable insights to make their work efficient and accurate.
Lokad brings a new tool to the table, one that is both powerful and innovative. But on top of that, Lokad has shared with Air France Industries its expertise in inventory optimization and Supply Chain management, thus bringing not only a complimentary IT solution but also a real consulting expertise, which our teams can rely on.
If you can't measure it, you can't optimize it.
Videos on Quantitative Supply Chain by Lokad. Demand forecasting, inventory optimization, pricing, and more.
Weekly interviews with supply chain leaders, quick explanations on main concepts and structured lectures about supply chain.
The Quantitative Supply Chain represents a novel and disruptive perspective on the optimization of supply chains. It can be seen as a refoundation of many supply chain practices, in particular regarding inventory forecasting, and has been built to make the most of the latest statistical approaches and vast computing resources that are available nowadays.
This perspective has emerged at Lokad, a software company founded by Joannes Vermorel. Lokad mixes data analysis with machine learning, cloud computing and supply chain expertise in order to optimize supply chains in a rational and quantitative way, so that the business and financial impacts of every decision are properly quantified. His experience at Lokad has given Joannes Vermorel the opportunity to study and analyze the methods, challenges and performances of dozens of companies all over the world.
This book is intended for supply chain executives and managers who want their supply chains to perform more, faster and with less resources. It caters to those who, ultimately, want to be more in control of their supply chain, with a more precise idea of what their decisions entail. This book provides a comprehensive introduction to the insights, methodologies and tools that have been gathered under the Quantitative Supply Chain umbrella.
The first part of this book covers the general concepts associated with the Quantitative Supply Chain. It outlines how this perspective differs from the classic supply chain perspective, and sheds lights on the core insights. The second part of this book provides hands-on materials to implement a Quantitative Supply Chain initiative. It leverages Lokad as a programmatic platform tailored for Quantitative Supply Chain purposes.
The supply chain industry is driven by buzzwords. A decade ago, cloud computing and probabilistic forecasts were not associated with the supply chain industry. Now (2021) it is the talk of the industry, alongside AI,blockchain and machine learning. Vendors are quick to keep up to date and adapt with these trends.
Taming complexity and chaos is the cornerstone of software engineering. Considering that supply chains are both complex and chaotic, it shouldn’t come as too much of a surprise that most of the enterprise software woes faced by supply chains boil down to bad software engineering.
Forecasting is the practice of analyzing historical data to predict anticipated conditions in the future and is at the core of supply chains. Naturally, increasing their accuracy became highly sought after. But what factors affect forecasting accuracy?