contextual searchBeauty search that reads the shopper, not just the keywords. Any language, typed or spoken, one product or a whole look.
Aurix answers in the language the shopper actually speaks, and returns a single product or a whole look depending on what was asked.

Two shoppers can type the same thing and need completely different products. Skin, routine, ingredients, climate. Every detail changes the answer.
Five conditions, one sentence, typed the way a real shopper types.
One long, messy, human question. The exact right product, the reason why, and the evidence behind it when she taps through.
Three things happen between that sentence and the products you just saw.

Shades, finishes and textures, the occasion a look is for, and how long it has to last. It knows a wedding lip is not an everyday lip.

Concerns, ingredients and routines in the language a dermatologist would use, so a described problem lands on the product that solves it.
A catalogue knows what a product is. Aurix knows what it means, and your team can open any result to check.
That reasoning is either worth something or it is not. Same queries, same products, same day.
Most search looks fine at position five and falls apart by twenty. Aurix stays flat, which is the proof the reasoning layer generalises instead of nailing a few easy hits.
Benchmarked on a live client catalogue across eight intent categories. Your numbers depend on your catalogue and setup.
We'll run your store against real shopper questions, typed and spoken, and show you what Aurix returns.