The Social Fashion Graph
Our taste graph is an assistant that knows your needs, and is able to respond to them.
The Social Fashion Graph is the name we’ve given to our taste graph. It processes people’s data received from our app, or from any 3rd party such as an in-commerce. The backbone of the Social Fashion Graph is our ontology, which plays a critical role at interpreting input and giving structure to the incoming data.
Taste graphs will transform fashion, we believe. They will focus on understanding post-purchase clothing behaviour, and will allow tech companies to understand taste of each individual, as Spotify does with music. Understanding taste of each shopper will allow ecommerce companies to build many ecommerce functionalities on top of that taste. And they will end up owning people’s attention, because they will be useful.
We built our taste graph to respond to some relevant questions, such as: How do people describe their clothes, outfits and what-to-wear needs? What clothes do they have in their closets and how do they wear them? What style do they like?
When we get dressed in the mornings, we establish correlations among clothes, and among our ways of describing our outfits and needs. Taste graphs, with the correct ontology, capture those correlations among descriptors, outfits and people.
Learn more about our taste graph here.
Our consumer app
Chicisimo’s iPhone and Android apps, our Outfit Ideas Alexa Skill for the Echo Show (video), and our Action for Google Assistant, connect the Social Fashion Graph to the reality of people’s needs, and captures clothing data..
Most important of all, the apps help us learn, they bring unique impact to our learning process. Thanks to our apps and skill, we receive daily direct feedback from many people, which helps us learn.
We think this is the most interesting aspect of building a consumer product. The fact that, regularly, we access new corpuses of knowledge that we did not have before. This new knowledge helps us improve the tech and product significantly, and it is a great reminder that we are not in the upper part of the learning curve -we are simply moving up.
When we’ve obtained these game-changing learnings, it’s always been by focusing on two aspects: how people relate to the problem, and how people relate to solutions.
Iterating a consumer app is a unique learning experience, contributing greatly to the taste graph and of course the ontology.