We all know the perils of online shopping – it's convenient, fast and everything gets delivered right to your door, but unfortunately, it always seems that the one perfect outfit you find doesn't fit at all.
That's where True Fit comes in. The Woburn, Mass.-based company uses machine learning technology to predict how an article of clothing will fit an online shopper, and it just raised $10.59 million in equity funding, according to a filing with the US Securities and Exchange Commission. A total of 23 investors contributed to the funding round, which had an initial date of sale listed for June 9.
Founded in 2007 by Babson College grads, the company is able to predict the way clothes will fit a person by collecting data from over 1,000 different clothing and footwear brands, which lets True Fit's tech understand how the designer intended them to fit. Then, the shopper uploads a profile of their favorite clothing items in their closet, and True Fit uses an algorithm to predict which new clothes a shopper wants to snag will fit similarly to the favorite items they already own. Similar to how Pandora customizes your music likes, or Netflix your movie likes.
Retailers including Macy's, Nordstrom, Joe's Jeans, Guess and Gilt have already installed True Fit on their sites and mobile platforms, with over 200 other retailers interested in getting in on the tech. So say farewell to the disappointment of getting that new pair of jeans just to have them be too tight, and say hello to spending even more money on your online shopping addiction, Boston.
Image via True Fit
