Consumer Insights

Visual AI Preference Analytics

Visual AI Preference Analytics Image

Visual AI Preference Analytics is the Rosetta AI Secret Sauce

How does it work?

Fashion experts train the Visual AI...

to help fashion shoppers discover the products they love most.

Keeping up with the latest fashions and trending terms for attributes is what sets Rosetta AI technology apart.

Your site sees your best selling product attributes, knows your VIPs

A well-trained Visual AI can recognize what shoppers love about what you sell. The more they shop, the more your site will know your best customers.
AI Visual Recognition mockup showing a fashionable girl and tags that match her outfit
The AI learns to see what shoppers like by looking at the same attribute-level data used by big-brand websites and the worlds busiest marketplaces. 

Superior tags by fashion industry experts

Our database of over 1000 product tags is written by industry experts on apparel, cosmetics and accessories. With the AI trained, the tags auto-generate and vastly improve searchability to style-savvy shoppers.
Best Selling Image

Get more value from first-party data

Preferred attributes are a valuable source of first-party data. It lets you cross sell more to individual shoppers and increase average order value.

We passionately serve clients in apparel, cosmetics, and accessories. Their success is our success.

K-Fashion Site Eases Workload with No-Code Personalization, Increases Sales 51%

Codibook is a Korean fashion ecommerce multi-brand website known for its shopping community of over 800000 “coordinators,” who create their favorite outfits from over 70 different online retailers and then share them with other online shoppers. So traffic wasn’t a problem for Codibook, but ROI on personalized marketing conversions was.