Google expands generative AI virtual try-on to new product category
In the U.S, shoppers can search for dresses on Google Search and click any style that includes a "try on" badge. From there, customers can see what that garment looks like on a diverse set of real models, ranging in sizes from XXS-3XL. Once a customer finds what they’re looking for, they can then click out to the retailer’s site to buy it.
According to Google data, virtual try-on images on its search engine receive 60% more high-quality views and on average, people try on clothes using four models per product. Google says shoppers are also more likely to visit a brand’s site after viewing virtual try-on images.
Customers can virtually try on dresses from hundreds of dresses across the Google Shopping Graph, a real-time, AI-based dataset of products, inventory and retailers with more than 35 billion listings, in a few taps. Available brands include Simkhai, Boden, Staud, Sandro and Maje.
During September 2024 Fashion Week in New York, hundreds of brands will be showing dresses from their latest collections on runways across the city. Following ready-to-wear brand Simkhai's September Fashion Week show, shoppers will be able to virtually try on select dresses from the collection straight from the runway and pre-order them from the Simkhai site.
Shoppers can search for Simkhai dresses on Google and look for the “try-on” icon to get started.
[READ MORE: Google makes images, search results shoppable]