Kesko
Store operations optimization
Retailers relied on chain-wide averages. AI now predicts daily sales for each store, optimizing stock levels and reducing waste.
- 9-month timeline from AI pilot to full rollout
Decentralized, manual ordering left backrooms full of unsold stock. Now, machine learning automates store-level purchasing decisions.
A European retail group with 18,500 employees and over 170 multi-format stores relies heavily on promotions, which account for almost half of its food business.
With data and planning activities siloed across different departments, store-based manual ordering processes struggled to keep pace with a highly...
“Promotions represent almost half of Globus’ Food business: in the assortments using AI-based automated ordering from Blue Yonder, the result is 20% less out-of-stock while reducing leftover stock after the promotion by 40%.”
Hypermarket chain featuring on-site butcheries, bakeries, and restaurants.
AI-driven supply chain planning, execution, and commerce solutions.
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