Tech Explained: ChoiceTech Korea’s AI Skin Diagnostics Reach Retail Scale Through Olive Young in Simple Terms

SKIN SCAN’s one-million-use milestone shows how AI diagnostics are becoming part of everyday beauty retail infrastructure

South Korea–based ChoiceTech Korea (CTK) has reached a new scale milestone as Olive Young’s in-store skin analysis service, SKIN SCAN, surpassed one million cumulative uses. The service is powered by CTK’s artificial intelligence–based diagnostic technology and is now operating across Olive Young’s nationwide retail network.

Beyond usage numbers, the milestone highlights a broader shift in how AI diagnostics are being deployed in beauty retail. What began as an in-store analysis tool has evolved into a connected digital service, integrated with Olive Young’s mobile app and designed to support ongoing customer engagement rather than one-time interactions.

Moving beyond one-time diagnostics

SKIN SCAN is built on ChoiceDx, CTK’s proprietary AI-powered diagnostic platform. The system uses optical imaging and algorithm-based analysis to assess multiple skin conditions during an in-store session.

More recently, Olive Young has linked SKIN SCAN with its mobile app, allowing customers to access their diagnostic results after leaving the store. This shift turns skin diagnostics into a longer-term service, where users can review historical data and manage their skincare routines over time rather than relying on a single snapshot.

This approach has a wider trend in beauty retail, where retailers are increasingly looking to connect physical experiences with digital platforms to maintain continuity and repeat engagement.

How the technology is being used at scale

At the technical level, ChoiceDx analyzes a range of skin indicators, including skin type, pigmentation, sebum levels, pores, and wrinkles. While AI-based diagnostics are not new, operating such systems consistently across high-traffic retail locations presents different challenges compared to pilot deployments or single-location trials.

Reaching one million uses suggests that CTK’s technology has been able to operate reliably within Olive Young’s day-to-day retail environment, where speed, accuracy, and ease of use are essential. It also shows that consumers are increasingly willing to engage with data-driven tools as part of routine beauty shopping.

Why the milestone matters

The scale of SKIN SCAN’s deployment points to a change in how diagnostic technologies are positioned within retail ecosystems. Rather than being treated as novelty devices, AI diagnostics are starting to function as part of a retailer’s core service infrastructure.

In Olive Young’s case, SKIN SCAN now supports several functions simultaneously:

• Enhancing in-store customer engagement through data-backed analysis
• Linking offline diagnostics with online platforms
• Supporting more structured and personalized skincare journeys

This model shifts personalization away from subjective recommendations toward repeatable, measurable data points.

Industry implications

CTK’s collaboration with Olive Young also illustrates how South Korea’s retail market is being used as a proving ground for beauty technology at scale. The combination of dense store networks, digitally engaged consumers, and advanced retail operations creates conditions where AI-driven services can be tested under real-world pressure.

“Our collaboration with Olive Young marks a point where our AI diagnostic technology has moved beyond pilot validation into a fully operational service platform,” said Wonsuk Choi, chief executive officer of ChoiceTech Korea.

“This experience is helping us understand how AI diagnostics can function as part of everyday operations.”

Looking beyond Korea

CTK said it currently supplies skin and scalp diagnostic solutions to partners in more than 60 countries, covering both professional-grade devices and integrated digital platforms. The company plans to apply lessons from its large-scale deployment in Korea as it expands internationally.

As beauty retailers globally continue to invest in digital transformation, the SKIN SCAN case suggests that the next phase of AI in beauty will be less about experimentation and more about infrastructure—where reliability, integration, and long-term usability are as important as innovation.

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