Match your products to her skin.
Oyster measures fifteen skin markers and scores your catalogue against them. Customers see products ranked by skin match.
Trusted by beauty businesses across 17+ countries
Start with her skin analysis.
A selfie becomes a structured skin profile in under twelve seconds. Oyster measures fifteen markers and scores your inventory against them.
Explore skin analysis ↗
A match confidence on everything you sell.
Each product receives a match-confidence percentage based on her scan. The catalogue is then ranked by fit.
How scoring works ↗It never recommends what could harm her.
Every match is checked against clinical rules before it reaches her. Out-of-stock products drop out automatically, and the next best fit for her skin surfaces in their place.
How it stays safe ↗
Matching for any catalogue you sell.
How matching works: an illustrative walkthrough. The explanation below describes the flow shown on this page; it is not a live product recommendation.
Start with the scan. The customer’s analysis supplies the skin context. Oyster compares that context with the products in your partner catalogue.
Rank the available products. Match confidence orders the catalogue by fit. A product score describes that match; it is not a promised outcome for a customer.
Check the selection. The matching flow applies the clinical rules described above and excludes out-of-stock items. A live demo can show the inputs and resulting order for your own catalogue.
From a twenty-product pharmacy shelf to an enterprise brand with thousands of SKUs, every product is scored against her skin in real time.
Explore the API ↗Watch it rank your own products for a real customer.
Bring your catalogue, run a live scan, and see the match. Then decide.