JapanRetail and e-commerce2025 – ongoingRyohin Keikaku
AI recommendations for MUJI passport and online shopping
MUJI's AI article recommendations raised click-through rate by 0.5 percentage points in testing
Problem
MUJI passport displayed articles in publication order, limiting relevance to individual readers. Online-store recommendations concentrated on popular products.
Approach
Ryohin Keikaku introduced Google Cloud Recommendations AI for app articles and online-store products. It tested article recommendations over two weeks. Its internal team implemented online-store recommendations using product information and customer behavior.
Results
Takeaway
The disclosed click-through gain concerned app articles. Ryohin Keikaku did not disclose numerical online-store conversion results.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Google Cloud reported a 0.5-percentage-point article click-through improvement in a two-week test. It also described deployed online-store recommendations, with numerical commercial results still undisclosed.
Full details are in the original sources.
