In retail businesses, anticipating product demand is key to operating efficiently. Based on the analysis of historical purchasing data, it is now possible to use artificial intelligence to generate demand forecasts that allow for more accurate supply to each point of sale, improved product availability for customers, and optimized inventory turnover and the use of working capital. This type of solution facilitates decision-making about which products to purchase, when to do so, and where they should be available.