Recently highlighted by MIT Technology Review, major websites are considering abandoning the ubiquitous text search box in favor of image searches. This new capability is made possible by software known as deep learning. The technology on slyce.it utilizes image recognition, allowing users to search for items similar to one found in an initial image. Pinterest has incorporated the technology as a means to help users find an online retailer for a specific item found in a 2D image, such as a coffee-pot shown in a picture of a kitchen. Shoes.com has begun using deep learning technology from artificial-intelligence firm Sentient as a means of helping women shoppers sort the website’s stock of around 7,000 boots to find exactly the style they are looking for. This type of technology makes the search experience more efficient for consumers, as well as more profitable for retailers as they can better meet their customers’ needs.
Slyce has further developed this visual search technology to not only recognize 2D images, but also real-life 3D images. Led by a team with decades of experience in innovative technology and business, Slyce’s technology can help retailers increase their business by using software tailored to meet their needs, with products available on desktop and mobile platforms.
Slyce has developed a universal scanner app that allows users to take a picture of anything around them and find where it can be purchased. The app is able to scan barcodes, QR codes, 2D images, and 3D images, allowing users to find the exact and similar items online. Retailers can choose from several functions to incorporate into their app, including Snap-To-Buy, Snap-To-Discover, Snap-To-List, and Snap-To-Coupon. This technology allows customers to not only find better deals on an in-store item, but also to find and purchase anything they see about them as they go throughout their day.
This type of technology provides great benefits for both consumers and retailers. With visual search software, retailers no longer need to fear an item being out of stock because similar items can be recommended to customers, keeping them from going elsewhere to shop. Customers also reap the benefits of this technology as they are able to find exactly the item they are looking for in a much more efficient and accurate way than using a text search box. As advances in artificial-intelligence and visual search technology increase, the benefits are only bound to multiply.