Case Study: Kaufland achieves highly automated replenishment and improved product availability with Blue Yonder

Kaufland Optimizes Its Replenishment Process

Kaufland, a European supermarket chain with about 1,200 stores and a range of roughly 60,000 items, needed to automate replenishment in its fresh meat division after existing supply chain processes reached their limits. Ensuring the right amount of fresh meat in each store was critical, so Kaufland sought a scalable, accurate planning solution.

By implementing Blue Yonder’s forecasting and replenishment platform—using machine learning predictions that incorporate promotions, holidays and weather and integrating production with demand planning—Kaufland achieved centralized, highly automated ordering. The result was significantly improved product availability, optimized stock levels and freshness, reduced write-offs and much less manual work at store level.

Kaufland