In an ever-changing environment and with more and more events that can impact sales, calculating sales forecasts using traditional methods may have limitations. Artificial intelligence makes it possible to take advantage of all available signals (current data from the supply chain, recent sales, external events such as weather, school holidays, public holidays, road traffic, the price of raw materials …) to improve the quality of the sales forecast and save time in developing it.
In this webinar, we presented the context in which machine learning can be used in a forecasting process, how we implemented this in FuturMaster as well and the results obtained.