GermanyRetail and e-commerce2024 – ongoingEDEKA Group
AI allocation of inventory between warehouses
EDEKA implemented AI inventory allocation in 12 weeks before a nationwide rollout, paretos reported
Problem
EDEKA planned inventory allocation in Excel and performed the exercise only a few times a year. Warehouse availability and purchasing terms made frequent recalculation difficult.
Approach
EDEKA implemented paretos to recommend ordering and redistribution between warehouses. The platform evaluated logistics constraints alongside purchasing costs. A regional pilot at the beginning of 2024 preceded a nationwide rollout.
Results
Takeaway
The project moved an infrequent planning exercise into software that could reassess allocation options. Paretos reported savings without disclosing their monetary value.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Optimization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Paretos described a regional implementation followed by nationwide expansion. It reported a 12-week implementation and cost advantages without publishing a savings amount.
Full details are in the original sources.
