We use cookies to give you the best personal experience on our website. If you continue to use our site without changing your cookie settings, you agree we may place these cookies on your device. You can change your cookie settings at any time but if you do , you may lose some functionality on our website . More information can be found in our privacy policy.
Please provide more information.
Stylus no longer supports Internet Explorer 7, 8 or 9. Please upgrade to IE 11, Chrome, Safari, Firefox or Edge. This will ensure you have the best possible experience on the site.
Brief Published: 20 Feb 2017

Gap X Tango: Advanced AR Dressing Room Concept

Gap has piloted a soon-to-be-rolled-out, fully shoppable augmented reality (AR) app that lets shoppers try on clothes remotely, showing them in context and adjusting to the consumer’s size.

The concept, Dressing Room by Gap, was developed in partnership with San Francisco-based 3D avatar developer Avametric and Google – the latter deploying its AR platform Tango, which uses camera devices to overlay images onto a physical space in real-time, not unlike the Pokemon Go mobile game.

After selecting an outfit (the catalogue shows 3D renders of Gap's current e-commerce offer), shoppers are required to add personal info such as height and weight, and choose one of 10 featured body sizes (0-20). The app consequently creates a 3D avatar wearing the item, placing it into the environment directly in front of the shopper via their mobile device screen. Shoppers can move the digital mannequin to view the clothing from different angles, as well as changing whole outfits, sizes and colours, with the avatar reacting in real-time (see also Rapid Retail). All the items are purchasable in-app.  

The concept is currently exclusive to Google Tango-enabled smartphones, making it relatively prohibitive. There is only one model on the market at present – Chinese computer manufacturer Lenovo's Phab2Pro, with a model by Taiwanese electronics company Asus due to launch at the end of 2017. However, the potential to review consumer behaviour and ‘trigger points’ for purchase remains strong. 

For more on AR-powered retail, see Rimmel’s AR App, Paul Mitchell’s AR Hair Salon and BMW’s AR Visualiser.

related reports