(Image Source: www.blog.google)
The generative AI-enabled feature is part of a larger effort to enhance the search engine’s ability to help shoppers buy apparel online, says Google.
Google Shopping is expanding virtual try-on to another wardrobe staple, and one of the most-searched apparel categories: dresses. Now customers can better visualize dresses on models that resonate most with them from hundreds of brands across Google’s Shopping Graph — including SIMKHAI, Boden, Staud, Sandro and Maje — in just a few taps.
How do the Google Shopping’s virtual dress try – ons work?
If a customer is in the U.S, they need to simply search for dresses on Search and click any style that includes a “try on” badge. From there, they can see what that garment looks like on a diverse set of real models, ranging in sizes from XXS-XXXL. The customer can select a model that resonates with them to get a better sense of how the dress looks. Once they find what they’re looking for, all they need to do is click out to the retailer’s site to buy it.
The expansion into the category follows last year’s introduction of virtual try-ons for men’s and women’s tops, plus enhanced algorithms to help shoppers more easily refine their apparel search parameters.
As Google said in the recent release, “… we’ve found that virtual try-on is great for both shoppers and brands. Shoppers spend more time visiting and interacting with these images compared to other shopping images — in fact, virtual try-on images on Search receive 60% more high-quality views, and on average, people try on clothes using four models per product. Shoppers are also more likely to visit a brand’s site after viewing virtual try-on images”.
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