This case study of Schwarz IT details their collaboration with Kaufland, a Schwarz Group company. Kaufland faced challenges with complex forecasting for 30,000 items across 1,500 stores, rapid consumer behavior shifts, and high food waste. Schwarz IT implemented an innovative, self-learning AI-driven demand planning solution, leveraging SAP Customer Activity Repository and SAP Forecasting and Replenishment. As a result, Kaufland significantly improved demand forecasting and product replenishment, leading to better inventory availability, reduced food waste, and enhanced customer satisfaction. This intelligent forecasting approach demonstrates how next-generation prediction can drive agility and sustainability in large-scale retail.

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