Going to a clothing store and trying out various sets of outfits can be a tedious process. This is a problem that Google is solving by bringing the fitting room experience to you.
The virtual try-on feature for apparel utilizes generative AI to show you clothes on a wide range of real models and new filters can be used to help you find exactly what you’re looking for.
Google noted that even though apparel is one of the most-searched shopping categories, most online shoppers agree that it is hard to know what clothes will look like on you before you buy them.
“Forty-two percent of online shoppers don’t feel represented by images of models, and fifty-nine percent feel dissatisfied with an item they shopped for online because it looked different on them than expected.1 Now, thanks to our new virtual try-on tool on Search, you can see whether a piece is right for you before you buy it,” said Lilian Rincon, Senior Director of Product of Shopping at Google. “Virtual try-on for apparel shows you how clothes look on a variety of real models. Here’s how it works: Our new generative AI model can take just one clothing image and accurately reflect how it would drape, fold, cling, stretch, and form wrinkles and shadows on a diverse set of real models in various poses. We selected people ranging in sizes XXS-4XL representing different skin tones (using the Monk Skin Tone Scale as a guide), body shapes, ethnicities, and hair types.”
Starting now, U.S. shoppers are able to virtually try on women’s tops from brands across Google, including Anthropologie, Everlane, H&M and LOFT. You just have to tap products with the “Try On” badge on Search and select the model that resonates most with you.
Work alongside the Shopping Graph, which is the world’s most comprehensive data set of products and sellers, this technology can scale to more brands and items over time. There will be more options coming to virtual try-on for apparel, including men’s tops launching later this year.
The guided refinements can help U.S. shoppers fine-tune products until you find the perfect piece. And with machine learning and new visual matching algorithms, you can refine using inputs like color, style and pattern. Plus unlike shopping in a store, you’re not limited to one retailer: You will see options from stores across the web. You can find this feature, available for tops to start, right within product listings.
