Category Archives: Search Technology

Breakthrough In AI Visual Web Search Excites Retail Vendors

Today’s online shopping landscape extends a comprehensively intelligent, automated platform for buyers. Interestingly, shoppers have witnessed a diverse collection of visual search helpers indulging buyers’ image recognition purchases. With image search services penetrating the wider online marketplace, many stores have developed their own visual product recognition tools. It’s been only five years since Google acquired Like.com and took image recognition marketing a step further. Unfortunately, it needed further study to influence shopping trends and customer buying habits. It did inspire many ambitious web conglomerate, include Amazon, which launched a contraption-of-an-app focused on advancing visual search last year. Sadly, it didn’t receive favorable feedback, although it became a temporary muse for many consumers. Albeit countless developers failing to launch a fully integrated visual search interface, research efforts are constant. In fact, MIT-Technology Review recently reported on a breakthrough in image recognition services for online shopping. The software named “Deep Learning” has intercepted image recognition where it matters.

Pinterest and Shoes.com are the first two test subjects. Traditionally, shoppers searched websites by using text commands. However, it’s limited accuracy has motivated developers to introduce image search services. Largely, text search will still have some relevance, but as visual product recognition reaches its prime; it’s natural for the larger consumer population to gravitate towards automated shopping. Already, deep learning has optimized visual search experiences, allowing customers to discover exact products faster. Besides, developers have committed to continue research and improvements on Deep Learning. With the help of generous donors, Sentient pooled an estimated $143 million to fund the AI (Artificial Intelligence) software. Furthermore, it’s the first technology to employ an image processing approach to retail.

Slyce, another serial product recognition giant successfully developed a technology that greatly benefits the retail industry. It’s already an integral product of desktop and mobile applications today. The Canada-based conglomerate launched in 2012 by co-founders Erika Racicot and Cameron Chell has revolutionized visual web shopping. Since inception, Slyce emerged as a pioneering brand, which has continued to secure lucrative business partnerships. In fact, its multifaceted image recognition has become a widely integrated product across U.S. retail vendors.

Furthermore, it’s been chosen by several Fortune 1000 retail brands. Slyce services extend to app developers, retailers, digital publishing houses and other vendors. Initially, Slyce operated out of Calgary, Alberta before it relocated its corporate office to Toronto. It also manages a micro-network of offices in Minneapolis, Minnesota, Calgary, Nova Scotia and New Waterford, Canada. The industry’s first witnesses learned of its visual web products in Barcelona at the well-received MWC (Mobile World Congress), held two years ago in February. Following a successful introduction, it raised a generous $6 million by year-end, which led to the acquisition of another visual web vendor named Hovr.it.