Ever fallen in love with an item, such as a bag, shoes, or even a coffee maker someone else owned but didn’t know what the name of it was? When that happens to consumers, wasted time will be spent across internet search engines in a vain attempt to find the appropriate keywords to locate an item. An article published in MIT Technology Review describes a technology that could possibly be an answer to these frustrations. A company called Slyce has created an image recognition technology that can analyze an image and put shopping results for similar products conveniently into the hands of the potential buyer. This could possibly be a game-changer for consumers and companies alike.
The article highlights Pinterest and Shoes.com as companies taking advantage of this technology. When viewing a pin, Pinterest users can click on the visual search tool in the upper right corner of the image. A moveable and resizable box will appear on the original pin. The user can easily maneuver this box over any part of the image. Pinterest will show the user similar pins to the highlighted selection. On Shoe.com’s Canadian store, the user can utilize the visual filter to select the perfect shoe. Consumers are shown twelve shoes and pick the one they like the best. This selection brings up eleven similar shoes, which they can keep selecting from until they find the best match. The article explains that while the technology has a long way to go, some CEOs, such as Roger Hardy of Shoes.com, are very optimistic about the potential of this technology to boost company sales.