A pharmacy counter that reads skin before it recommends.
MaxCare turned its beauty shelf into a guided, skin-first counter, so pharmacists recommend with confidence, not guesswork.
The context
MaxCare runs pharmacy counters where beauty sits beside health, and the people asking for skincare advice arrive with every concern and every skin tone. A beauty aisle only works when the person behind it can read the skin in front of them, the same way, shift after shift.
The challenge
A pharmacy serves a wide walk-in base every day. Staff are asked for skincare advice across dozens of concerns and skin tones, with no consistent, objective way to read the skin in front of them. Good recommendations depend on who is on shift.
What they did with Oyster
MaxCare put Oyster at the counter. A customer scans once, and the pharmacist sees a clear skin profile with matched products from the shelf. The recommendation is the same whether it is a Monday morning or a Saturday rush.
“Oyster rebuilt our entire retail infrastructure in three months and made us an AI powered business.”
The outcome
The beauty aisle stopped being a guess. With every customer analysed the same way, the team recommends more of what actually fits, and the numbers on the shelf follow.
Before and after
| Before Oyster | With Oyster |
|---|---|
| Advice depended on who was on shift | Every customer analysed the same way, in every branch |
| The beauty aisle sold on guesswork | Skin-first recommendations pulled from the shelf |
| Hard to know what to recommend | +258% products recommended |