The company Slyce is simplifying the way individuals shop for products. Their usage of the latest software technology known as image recognition allows individuals to browse through items like shoes, a tea set and more by simply using their laptop, desktop or mobile device. Slyce offers various packages for retailers that allow customers to comfortably search on-line, than trigger items that they particularly like. For example with Slyce’s Neiman Marcus app known as Snap Find Shop, when you take a photo of an item, such as a handbag that you fancy, this app will quickly provide you with items resembling that in your photo.
Slyce has even created another tool called the Universal Scanner to make shopping easier! How this gadget works for instance, is if you see a necklace you like (or any item), you would have the option to either scan or take a photo of it. Than when you go on-line you will receive photos of similar styles or a duplicate match. With this product, Slyce offers images that are 1, 2 or 3 dimensional to provide customers with a realistic view. Much of their search image recognition technology allows customers to purchase various products that they see on billboards, magazines and more.
Thanks to the newest Slyce technology, shopping on-line can come very close to shopping in person, plus avoid having to drive from store to store. Referred to as “visual search,” this method allows users to draw a square around something that you saw on a website page and locates items that are similar from an enormous index. These images from the index will feature items with specific characteristics. For instance if you came across a lamp on a web page that caught your eye and after drawing a square around it, several images (plus close-ups) will come up for you. Depending on the item viewed it may offer a “buy” feature. In November 2015 Shoes.com and Pinterest began testing this new deep learning software from AI on their web sites.