AI in Retail Stores works primarily with data from the point-of-sale system, which most outlets collect but do not use. The fastest benefit comes from demand prediction based on history, day of the week, weather and nearby events, which determines stock ordering and shift planning. Basket analysis is also used, showing which items are bought together, and serves to guide product placement and the creation of bundles. For assortments with limited shelf life, this shows up in reduced write-offs. In addition, it helps with evaluating footfall and processing supplier documentation. For solutions working with images from customer areas, resolve personal data protection and customer notification in advance. Start with one high-turnover category, where the benefit shows up fastest and can be easily measured.
See also: Inventory tracking and reservations, Seasonal stock, AI in Wholesale.
