Turning consumers' phone and computer cameras into a shopping tool, NexTech's AI uses facial recognition and anlysis to assess shoppers' reactions and urge them to purchase or suggests similar items

Augmented and artificial reality company NexTech is developing an AI platform that will turn consumers' mobile and computer cameras into an emotion-reading retail assistant. This learning AI technology is part of NexTech's retail platform, Try-It-On, which will help retailers have a virtual salesperson on staff in their mobile apps and websites. 

The tech will essentially do what human sales people do, but instead for the online market. The tool will be able to gauge interest and emotion based on analysis and facial recognition, responding with options like “add to cart” or new product suggestions based on facial queues. Try-It-On will also help retailers to continue to gather consumer data normally only possible in store remotely, while also enabling tailored shopping experiences in the moment as well as later.

“The release of our sentiment analysis technology closes the loop on personalizing the online shopping experience by using a consumer's actual physical reaction to a product to gather data around preference and style,” said Evan Gappelberg, CEO of NexTech. Currently available for retailers to integrate into their digital platforms, the tool incurs a $79 per month membership fee and can be used on WordPress, Shopify and Magneto.

NexTech


Lead image: stock photos from GaudiLab/Shutterstock

Augmented and artificial reality company NexTech is developing an AI platform that will turn consumers' mobile and computer cameras into an emotion-reading retail assistant. This learning AI technology is part of NexTech's retail platform, Try-It-On, which will help retailers have a virtual salesperson on staff in their mobile apps and websites. 

The tech will essentially do what human sales people do, but instead for the online market. The tool will be able to gauge interest and emotion based on analysis and facial recognition, responding with options like “add to cart” or new product suggestions based on facial queues. Try-It-On will also help retailers to continue to gather consumer data normally only possible in store remotely, while also enabling tailored shopping experiences in the moment as well as later.