In the field of inventory management and replenishment, Machine Learning brings important advantages. With the example of sales forecasts, retailers traditionally consult historical sales to make decisions on replenishment volumes while keeping external constraints that generate peaks and troughs. Unfortunately, even with the most accurate calculations, these forecasts are likely to be distorted. Profound operational and retail changes must be put in place alongside advanced industry and customer knowledge to improve the critical functions of the company.

This session will discuss the benefits of using last generation AI algorithms in supply chain optimisation from business, logistical, ecological to social impacts.