United KingdomRetail and e-commerce2024 – ongoingSainsbury's
Machine-learning forecasting for food products
Sainsbury's completed its main food forecasting migration and reported better availability
Problem
Sainsbury's needed to keep food available while limiting waste and inventory tied up in working capital. Demand forecasting affected these competing requirements.
Approach
Sainsbury's migrated food products to a machine-learning forecasting platform. By its 2025 preliminary results, it had completed the main migration phase and was entering its second year of use. It reported better forecast accuracy and waste performance, alongside higher sales from improved availability.
Results
No published figures
Takeaway
Sainsbury's reported operational improvements without separating the financial contribution of forecasting from its wider supply-chain work.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
Sainsbury's reported completing the main migration of food products to machine-learning forecasting. It linked the platform to improved availability and forecast accuracy, with benefits for waste and working capital, without giving an isolated financial result.
Full details are in the original sources.