Clarins Deploys In-Store AI for Makeup Matching
Cosmetics brand Clarins, in partnership with startup IlluminateAI, launched an in-store "AI Shade Finder" that boasts 96% accuracy in matching foundation. The system uses a multi-factor algorithm to recommend personalized makeup products, moving beyond simple colorimetry.
- The AI Shade Finder technology utilizes a smartphone's screen and camera to capture a rapid sequence of images under changing light conditions, a method based on spectroscopy, to precisely measure skin tone, undertone, and colorimetry. This technique moves beyond a single-photo analysis to create a more accurate and scientific reading of the skin's unique color signature. - Live testing of the tool in Clarins boutiques in France and the U.K. demonstrated a significant increase in both conversion rates and the average basket size for makeup consultations compared to those done without the AI service. - The global market for AI in beauty and cosmetics is expanding rapidly, with projections indicating it will grow from approximately $5.3 billion in 2026 to over $10.8 billion by 2030. This growth is largely driven by consumer demand for personalized product recommendations. - The developer of the technology, IlluminateAI, is a Silicon Valley-based startup. Another beauty brand, e.l.f. Cosmetics, has also implemented AI-powered virtual try-on tools and reported a 200% higher conversion rate among users who engage with the feature. - The application is part of a larger trend in retail of using computer vision and AI to enhance customer experiences and operational efficiency. In other retail settings, similar technology is used to analyze foot traffic, optimize store layouts, and personalize promotions, leading to significant increases in customer satisfaction and revenue. - For those in the NYC tech scene, major retail technology events like NRF 2026 (January 11-13) and the Smart Retail Tech Expo (September 30 - October 1, 2026) will feature sessions on AI's role in retail. - The underlying technology stack for similar retail AI solutions often includes computer vision libraries like OpenCV, machine learning frameworks such as TensorFlow, and cloud platforms like Amazon SageMaker for model deployment and scaling. - Numerous AI startups focused on personalization and marketing automation are based in New York City, including Movable Ink and Tildei, which create AI agents for customer engagement.
