Inventory management is a complex issue and managing the right stock at the right place at the right time can be a difficult task. Artificial intelligence can assist human beings in the implementation of a better inventory management.

 From historical data, orders and current stocks, an AI platform like papAI can predict the needs of the whole network and suggest optimized decisions (purchase, transfer, etc.). It will identify which products are selling the fastest or slowest and model a more accurate inventory accordingly. This allows for inventory adjustments to avoid stock-outs and limit excess merchandise. AI will also be able to anticipate consumer buying intentions based on various elements such as weather, events, time of day, etc.  This is very useful to predict the right stocks that will be available at the right time and thus reduce the delivery time to the customer who will be more satisfied.