CanadaRetail and e-commerce2023 – ongoingMetro
Cérès demand forecasting for perishables and preparation staffing
Metro introduced AI forecasts for more than 5,000 perishable products in Quebec
Problem
Metro's department managers had to translate changing demand into purchasing quantities while limiting spoilage and stockouts. Product preparation also required advance staffing decisions.
Approach
Metro worked with Moov AI on Cérès, a forecasting tool integrated with its existing systems. It predicted daily sales of perishable products 3 weeks ahead. Managers used the forecasts to support replenishment and plan work preparing fresh products.
Results
Takeaway
The same product forecasts supported purchasing and preparation staffing. Metro did not disclose measured reductions in waste or lost sales.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chainProduction and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Metro's submission for the OCTAS 2023 finalists described Cérès, developed with Moov AI. It reported forecasts for more than 5,000 perishable products 3 weeks ahead and described their use in ordering and labour planning.
Full details are in the original sources.
