01Cosmetics retail
A working prototype that connects visible cosmetic features with product recommendations from a retailer’s own catalog.
Arrange a beauty AI demoWorking service · Volunteer evaluation
Skinsence · Partner-developed retail solution
The partner’s September 2026 development brief describes a working Skinsence service undergoing volunteer evaluation; a retail-chain deployment is still ahead. This is cosmetic product discovery, not medical diagnosis or treatment advice, and not a client case study. Recommendation quality and commercial impact need to be evaluated for each catalog and audience.
02How it works
The service checks image quality and asks for a new photo when needed, then reviews visible cosmetic features such as redness, blemishes, and fine lines.
Product information links those observations and the shopper’s interests to relevant items in the retailer’s range.
Present a suggested selection with explanations to help the shopper explore products and make their own choice.
Your users, data requirements, existing systems, and operating environment shape the implementation.
Review product descriptions, attributes, availability, and the rules behind recommendations.
Plan a retailer-branded journey in your website or application. Define catalog controls and how shoppers reach product pages.
Agree consent, image retention, and how recommendations will be reviewed across your intended audience before release.