An online portal aims to create a more personalized shopping experience by using data received from purchases and social shares.

Our latest Future Of Retail Report looks at the trend of Auto-Curated Shopping. One manifestation of this theme is Uncovet. The e-retailer offers a flash sales site that aims to create a more personalized shopping experience by using data received from purchases and social shares to capture user’s ‘style-graph’ which is structured data like an ‘interest-graph’ (or ‘social-graph’) but pertaining specifically to shopping taste.

The startup, which sells designer clothing and products, uses Facebook Connect to allow users to invite friends to the site and, if enabled, takes a user’s Facebook Likes into account when recommending products, trends and styles. In the future, Uncovet  wants to build out its discovery engine, by combining data from Pinterest, Svpply, Twitter and email.

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