FashionTasteAPI was born when we at Chicisimo opened our API to 3rd parties. You can learn about Chicisimo tech below.
Chicisimo has built a digital closet that allows women to easily digitize most of their clothes in less than 2 minutes. The closet then tells you how to combine your clothes providing (i) outfit suggestions, and (ii) showing you outfits of real women wearing the same clothes you have in your closet.
Our two largest consumer products were our iOS and Android apps, with a combined 5M installs and a 5-star rating average:
- Smart Digital Closet Technology >
- In-Bedroom Fashion Stylist >
- Smart Fitting Room >
- In-Store Outfit Recommender >
- Product and Outfit Recommender >
Our consumer products are built on top of an unsupervised learning model that automatically classifies clothes and understands people’s taste, by learning from users’ closet & outfit data, their queries and interactions.
A basic enabler of our tech is our ontology which is the backbone of our Fashion Taste Graph.
- Fashion Ontology >
- Taste Graph. The personalization engine >
- Clothes classifier >
- Taste Profiles of your shoppers >
- Editorial Intelligence >
- Audit of Data >