Central regions | Retail, FMCG | Technology & innovation
Russian developer unveils software to make online shopping easier
9 Oct '15
Kuznech, a Russian IT developer, has come up with a service enabling users to recognize goods by analyzing photos taken with a smartphone, and look for similar items in online vendors’ catalogs, the Skolkovo Foundation website reported.
The developer is said to have completed a beta version of its Kuznech app for Android. As of today, the service can purportedly recognize 157 categories of clothes, footwear and handbags/purses. To enable the recognition function, all a mobile app user needs to do is bring the camera of his or her mobile gadget close to an item to be purchased; actually taking a picture is not necessary. The Kuznech mobile API will recognize the object and guide the user through a similar assortment in this e-commerce store. The mobile device is also enough to purchase what you’ve chosen immediately.
“It’s a unique opportunity for e-commerce operators to give their customers, most of whom are young people, an element of gamification in online shopping. It’s also the opportunity to step up the process of online shopping, and this is but a fraction of what mobile recognition can offer. We’re glad to become the first Russian company to develop such a window of opportunities for the global market,” Kuznech CEO Mikhail Pogrebnyak said.
Kuznech is a leader in what’s known as semantic search for images. At the heart of the Kuznech.com project is a technology that draws on what might be referred to as knowledge of ‘grasshopper optics.’