Visual Search Technology Continues to Advance

The internet continues to evolve as IT developers such as Slyce IT continues to find ways to use every bit of smart technology to the limit. A basic tenet of sales marketing is taking advantage of impulse or spur of the moment shopping. Slyce IT, a leading developer of visual search engines, allows users to snap an image of a real life product, a 2D print image or a bar code or coupon, and it will find similar products in the retailers product line. Imagine a woman who loves to shop at Neiman Marcus. She’s sees someone else with a stunning handbag. With the snap of the smartphone camera, color, pattern, style, size, shape and any other unique features are analyzed and a sale is made that may otherwise never have happened. Even making a grocery list becomes a matter of snapping a photo of that last tomato before you chop it up in your salad. Curious to see who the manufacturer of a product is. Just snap an image and the visual search technology can in all likelihood find the manufacturer and style of that product.

This will eventually revolutionize the way we shop as Slyce IT continues to roll out add-on products to its original visual search platform line. Just recently they doubled their contract with a toy retailer that instead of leaving shopping carts abandoned with out-of-stock items, it will provide the consumer with similar alternatives, therefore keeping them in the buying process. The software even sends out emails which generate a twenty percent click through rate. There can be a significant recovery in revenue that may otherwise have been lost.

A recent MIT Technology Review article discusses how Pinterest and are experimenting with AI image recognition software. By drawing a box around a product on Pinterest, it will search over an idea of over a billion online products to find a similar item. Some items will even have a buy option, once again taking advantage of the instant gratification that internet retailers can use to boost sales. is testing similar software. With the use of a “visual filter” the software will generate a grid of twelve shoes that fit those parameters. When the consumer selects the item that best suits their tastes, the software will present the closest style matches to the customer. Taking away the old drop down text box to filter a product, will make it easier for customers to actually see what they are looking for.

MIT Technology Review

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