Co-founder, Clothes Horse
Buying clothing online has been something of a crapshoot, and it’s all about the fit. That’s the problem that Clothes Horse is addressing – and solving: the company’s core product is a recommendation engine that retailers embed on their site, that recommends sizes, based on a shopper’s body details and favorite clothes – and of course, a predictive algorithm. The end result: a better fit, and a better fit means few returns, which has always been a headache for online retailers. Their differentiator: the number of case studies they’ve conducted. The results: between their analytics, competitive intelligence, design and propriety data, the Clothes Horse widget is able to tell customers which size to buy, and how it will fit. It’s a game changer. And a major problem solver.