United KingdomRetail and e-commerce2017 – ongoingMorrisons
AI demand forecasting and store replenishment
Morrisons automated store ordering and reported up to 30% better shelf availability
Problem
Manual ordering took store teams time and produced inconsistent stock decisions. Stores faced shortages alongside excess inventory.
Approach
Morrisons deployed Blue Yonder forecasting and replenishment after a pilot. The system predicted daily demand by product and store, using local sales patterns and external factors such as weather. It automated ordering across food categories.
Results
Takeaway
The reported availability gains came alongside lower store inventory.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Blue Yonder described automated forecasting and replenishment at Morrisons. It reported up to 30% better shelf availability and a reduction of 2-3 days in store inventory.
Blue Yonder's sponsored account described machine learning for product-level ordering. It reported deployment across Morrisons stores by March 2017.
Full details are in the original sources.