The beauty industry is advancing its use of artificial intelligence (AI) beyond measuring consumers' skin to utilizing the data gathered during the diagnosis process for product recommendations and cosmetic research and development (R&D). With just a single skin photo, consumers can receive tailored ingredient suggestions and recommendations for products based on their skin condition.
According to industry sources, CJ Olive Young has implemented its in-store skin diagnosis service, 'Skin Scan,' into a mobile application. When users take a photo of their skin with their smartphones, AI analyzes the skin condition and suggests necessary ingredients, recommending products that contain those ingredients in order of popularity. This connects the skin diagnosis previously available in stores to the online product exploration and purchasing process.
As of April last year, the purchase conversion rate for customers using the Skin Scan Pro at Olive Young's Seongsu location was 78%, significantly higher than the 43% rate for customers who did not use the service, indicating that linking skin diagnosis results to product recommendations can lead to actual purchases.
Research analyzing the impact of AI diagnosis on cosmetic purchases has also been published. A study published in June in the Journal of the Korean Society of Aesthetics surveyed 323 consumers who purchased skincare products after using an AI-based skin analysis service. The findings revealed that the service's practicality and convenience significantly influenced purchasing behavior, with convenience having the greatest impact. Additionally, brand trust developed through the AI skin diagnosis experience also affected purchasing decisions.
AI skin analysis is expanding its applications beyond product purchases to include personalized care and product development. APR has applied an AI care mode to its MediCube Age-R 'Booster Pro X2,' which analyzes current skin conditions and accumulated usage history to recommend customized care and stimulation intensity. Even when using the same device, the management approach varies based on the user's usage history.
LG Household & Health Care has analyzed high-resolution facial images of approximately 16,000 Korean women aged 20 to 60 using 'Vision AI' to quantify six aging indicators by age group, including drooping eye corners, lip ratios, and facial contours. This method tracks subtle structural changes that are difficult to distinguish with the naked eye based on 68 facial feature points. A representative from LG Household & Health Care stated, 'Vision AI technology is being applied to the formulation and ingredient development of various cosmetics in conjunction with research on skin longevity to extend skin health lifespan.'
An industry insider noted, 'Competitiveness arises from the continuity of data rather than its quantity,' adding that as skin changes accumulate and connect with purchase histories, they can become a unique asset for each company. However, the insider emphasized that as the use of skin data expands, consumer trust and transparent consent regarding data usage must be prioritized.
* This article has been translated by AI.
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