Get more value from first-party data and save time
Discover the most preferred attributes of individual shoppers and automate tedious back-end tagging.
Find your best selling attributes and VIP customers
AI Visual Recognition and NLP (natural language processing) automate your product tagging and compile preference profiles of individual shoppers as they browse your site. The more they shop the more you know about what they like.
Automate and enhance your product tagging
Our database of over 1000 product tags is written by industry experts on apparel, cosmetics and accessories. The tags auto-generate and improve searchability to style-savvy shoppers, making them more competitive than generic tags.
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.