Time to change your view on Supply Chain.
Discover the Quantitative Supply Chain.
Learn about the Quantitative Supply Chain Manifesto. Test your company’s performance with the Lokad Test of Supply Chain Performance. Get an overview of what a Quantitative Supply Chain project entails: drivers, data preparation, timeline, deliverables, success KPIs, and more.
Discover how to start your own Quantitative Supply Chain project: learn how to use Envision, from reading files, filtering and aggregating data, joining tables to designing dashboards. Get the basics with our documentation and script examples.
Discover how to deal with some of inventory optimization’s main topics in your Quantitative Supply Chain project: FIFO, Bill of materials, stock reward, economic purchase prioritization and more.
Lokad’s compendium on Supply Chain.
From basic concepts to advanced statistical topics.
Learn about the main Supply Chains concepts and methods, old and new: ABC analysis, Economic order quantities, Lead time, Min/Max Planning, Minimal Order Quantities, Safety stock, etc.
Take a deeper look at the forecasting side of Supply Chain, from simple concepts such as backtesting, obfuscation and seasonality to more advanced ones such as overfitting, cross-entropy and Continuous Ranked Probability Score.
From classic to probabilistic forecasts.
See what cloud computing and Deep learning
can bring to Supply Chain inventory optimization.
Take a look at Lokad’s latest brand of technology: probabilistic forecasts powered by Deep learning. See what Artificial Intelligence and GPUs can bring to the table.
Discover why probabilistic forecasts are a breakthrough when it comes to forecasting for Supply Chain: from a practitioner’s perspective to robotization through machine learning. Any questions about forecasting new products and model selection? Take a look our FAQ.
Learn about the most common (if a bit old…) methods used in forecasting: models, accuracy evaluation, general patterns and demand artifacts.
The first steps toward a new vision of forecasting, back in 2012. A comparison with classic forecasting through videos and whitepapers.
The ancestor of Probabilistic Forecasting, back in 2015. A more computational intensive approach for a more complete vision of the future where every decision gets prioritized based on precise business constraints.