Fashion technology: how to understand fashion taste

The largest opportunity is fashion technology today is to focus on helping people feel better with their clothes. To do so, we need to understand fashion taste. Once we achieve that, we will be able to build personalized experiences on top of people’s unique taste.

But understanding fashion taste and clothing behaviour at scale is a difficult challenge. That’s our focus here at Chicisimo. We are building the infrastructure to automate outfit advice. This infrastructure includes four assets:

1.- A fashion app that has virtual closet. The app helps women as an outfit planning app and Apple features regularly features as App of the Day world-wide. The app helps us learn outfit and clothes behaviour;

2.- A taste graph that is in charge of structuring fashion data, and assigning the right descriptors to outfits and to people. In fashion technology, obtaining clean data is not easy because of the lack of a fashion taxonomy. We’ve built a fashion ontology, and we’ve embedded it into the taste graph that helps us solve this problem. The Social Fashion Graph, that’s how we call our taste graph;

3.- A data portal. This portal provides transparency to the team, and ease of access to data;

4.- Fashion technology patents. These patents protect innovations in three fields: image-based shopping, outfit and closet data, and outfits search.

Are you interested in fashion technology? Please read more about the infrastructure we are building to automate outfit advice.