South KoreaRetail and e-commerce2017 – ongoingShinsegae
S-Mind personalized shopping recommendations
Shinsegae used S-Mind to personalize shopping for about 5 million customers
Problem
Shinsegae Department Store sought to tailor shopping information to customers with different purchasing habits and product preferences.
Approach
The retailer introduced its S-Mind AI customer-analysis system in 2017. It analyzed online and offline purchase histories alongside purchase frequency and average basket size. Preferred categories and store-use patterns also informed tailored product recommendations.
Results
Takeaway
The system used purchase behavior across physical and online channels. The disclosed customer count described its reach rather than incremental sales.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
The Kyunghyang Shinmun described S-Mind as an AI customer-analysis system introduced in 2017. It reported personalization for about 5 million customers using purchase records and shopping patterns.
Full details are in the original sources.