Inference Beauty today announced the launch of its cross-brand AI personalization engine for beauty retailers, a platform designed to address longstanding technology gaps in beauty retail through advanced data-driven recommendations. The solution is currently active across retailer and brand partnerships in the European Union, United States, Canada, Australia and the United Arab Emirates. The announcement follows the company’s selection into the Beauty Tech Atelier L’Oréal Accelerator, along with recognition as a winner of the ForwardBeauty Challenge by Douglas and a finalist at the Beauty E-Commerce Award Germany.
The Inference Beauty platform operates between a retailer's product catalogue and its digital customer experience, enriching product discovery with AI-powered diagnostics and structured ingredient data. Retailers integrating the platform gain access to AI Skin Analysis, Hair Analysis, Foundation Shade Matching, Fragrance Finder, and an Ingredient Explainer, all powered by a proprietary database of more than 150,000 beauty products and 60,000 standardized cosmetic ingredients categorized by source, function, effect, and utility. The platform's cross-brand architecture enables product recommendations that span an entire retail assortment rather than a single brand catalogue, addressing how modern shoppers actually behave across beauty categories.
The platform's full solution suite includes AI Skin Analysis for Skincare Personalization, AI Hair Analysis for Haircare Recommendations, AI Fragrance Finder with Olfactory Matching, AI Foundation Shade Matching Across Brands, an Ingredient Intelligence and Transparency Engine, Beauty Product Data Enrichment and Catalog Structuring, and a PDP Personalization and Recommendation Engine.
"We were built to solve a structural problem in beauty retail," said Estella Benz, Founder and CEO of Inference Beauty. "Recommendation tools that operate only within a single brand miss the reality of how consumers shop. Our engine connects every brand in a retailer's assortment and matches shoppers to the most relevant products based on their actual skin, hair, fragrance, and ingredient needs. That is cross-brand personalization at scale."
Retailers integrating the Inference Beauty platform are reporting strong commercial returns. Client data shows a 30% increase in conversion rate, a 30% uplift in average basket value, and 12% of platform users opting into sign-up flows, generating first-party data assets that further strengthen personalization performance over time.
Consumer demand for personalized beauty experiences is accelerating alongside the broader shift to digital commerce. According to McKinsey’s & Company’s annual "The State of Fashion: Beauty" report, beauty ecommerce is projected to account for over 30% of global beauty sales by 2030, as shoppers increasingly expect digital journeys that replicate the expert guidance available in physical retail environments. Simultaneously, research from Cosmetics Business shows that 72% of consumers now expect detailed ingredient explanations when making beauty purchases online, while new regulatory frameworks in Europe and Canada are placing formal ingredient disclosure requirements on retailers across all digital channels.
The company operates across more than 100 active retailer and brand integrations globally. Retailers and beauty ecommerce platforms seeking to integrate advanced personalization and ingredient transparency can engage directly with Inference Beauty to explore implementation options suited to their existing digital infrastructure.
"Industry recognition has been gratifying, but the clearest validation is commercial adoption across five global markets," said Benz. "Retailers are choosing our platform because it delivers measurable improvements in conversion, basket size, and consumer engagement. That is the outcome that defines whether a technology truly serves the market."
About Inference Beauty
Formerly known as Skin Match Technology, the company rebranded to Inference Beauty in 2025. Inference Beauty is a B2B beauty technology company providing a unified AI personalization engine for beauty retailers, brands, and ecommerce platforms. The platform integrates AI diagnostics, fragrance intelligence, foundation shade matching, and ingredient transparency tools into a single infrastructure layer, powered by a database of over 140,000 beauty products and 60,000 standardized ingredients. An alumnus of the Beauty Tech Atelier L'Oréal Accelerator, winner of the ForwardBeauty Challenge by Douglas, and finalist of the Beauty E-Commerce Award Germany. To learn more about the cross-brand AI personalization engine and its deployment capabilities, visit inferencebeauty.com.
Media Contact
Estella Benz
estella@inferencebeauty.com
