South KoreaRetail and e-commerce2019 – ongoingSK Networks
MINTIT machine-learning appraisal of used smartphones
SK Networks reported about 4.5 million phone sales through MINTIT, which used machine learning for appraisals
Problem
Selling used phones required customers to establish their condition and value. Concerns about retained personal data also complicated transactions.
Approach
MINTIT operated unmanned phone-buyback kiosks that used machine learning to assess exterior condition and return real-time appraisals. An SK Networks release documented operational kiosks in 2019, developed by Kumkang Systems with SK Networks providing investment and marketing support. The service also offered certified data deletion.
Results
Takeaway
The automated appraisal formed part of a complete phone-buyback transaction. The reported sales total measured service activity, without isolating the contribution of AI.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Production and quality
- Innovation type
- Product and service innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
SK Networks described machine-learning exterior assessment and real-time kiosk appraisals. Its October 2025 performance figures included approximately 4.5 million mobile-phone sales.
SK Networks described operating AI-equipped kiosks for phone valuation and sales in 2019. It identified Kumkang Systems as the developer and SK Networks as the investment and marketing partner.
Full details are in the original sources.
