AEON Retail
AI Kakaku grocery markdown recommendations
AEON Retail reported a loss-rate reduction of at least 10% after introducing AI markdown recommendations
Problem
AEON Retail needed to price perishable stock for changing demand while limiting losses. Staff also needed training in markdown decisions.
Approach
AI Kakaku learned from sales history and conditions such as weather and customer traffic. Staff scanned products and entered display quantities to receive recommended discounts. AEON Retail introduced it in prepared foods in 2021 and announced a fresh-food expansion in May 2024.
Results
Takeaway
Expanding into fresh food required tuning for department sales patterns and individual stores.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
AEON Retail reported a loss-rate reduction of at least 10% after deployment. It described demand-based discounts and an expansion into meat and seafood.
Full details are in the original sources.