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JapanRetail and e-commerce2021 – ongoing

AEON Retail

AI Kakaku grocery markdown recommendations

AEON Retail reported a loss-rate reduction of at least 10% after introducing AI markdown recommendations

WorkingCompany's own claimOfficial ↗

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

10%+relative reduction in loss rate versus before deployment, reported by AEON RetailCompany's own claim[1]

Takeaway

Expanding into fresh food required tuning for department sales patterns and individual stores.

Categories

Business function
Production and quality
Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]AEON Retail7 May 2024

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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