Google’s new AI feature lets you virtually try on clothes

In a significant move set to redefine the e-commerce landscape, Google has unveiled a suite of powerful AI-driven features designed to create a more personalized and interactive shopping experience. The tech giant announced the U.S. launch of a new virtual try-on tool that uses a shopper’s own photo, alongside enhanced price alert capabilities and a sneak peek at a future tool for generative outfit and room design inspiration.

See It On You: The Future of Virtual Try-On is Here

Say goodbye to guessing games. Google’s latest virtual try-on technology takes personalization to the next level. Officially launched after a two-month testing period, this feature allows users to see how an item of clothing looks on their own body.

Credit goes to Google

To use the new tool, shoppers can select an apparel item from Google Search, Google Shopping, or Google Images and tap the “try it on” icon. By uploading a full-length photo, the AI generates an image of them wearing the selected piece. Users can then save these virtual looks or share them with friends for a second opinion.

This marks a substantial evolution from Google’s previous virtual try-on efforts, which showcased clothing on a diverse range of models. The new system puts the user at the center of the experience, offering a true-to-life preview that was previously unavailable. This launch follows Google’s recent release of an experimental app named Doppl, which also leverages generative AI to visualize outfits and can even create AI-generated videos to show how fabric might move in real life. According to a Google spokesperson, while both tools use the same core technology, the new Shopping feature is integrated for broad use, while Doppl offers a deeper dive for users to curate their personal style.

Never Miss a Deal: Price Alerts Get Smarter

Alongside the virtual try-on, Google is rolling out a significant update to its price alert system. Shoppers in the United States can now set highly specific alerts for products they are interested in.

This enhanced feature allows users to specify their preferred size, color, and, most importantly, the exact price they are willing to pay for an item. Google’s extensive Shopping Graph, which compiles product data from across the web, will then monitor for offers that match these precise criteria and notify the user when a deal becomes available.

“No more constantly checking to see if that bag you’re eyeing is finally at the right price for you,” explained Danielle Buckley, Google’s Director of Consumer Shopping, in a blog post. This “set it and forget it” approach aims to streamline the bargain-hunting process, ensuring consumers get the best possible price without the constant effort.

Credit goes to Google

What’s Next: Generative AI for Style and Home Inspiration

Google also teased an upcoming feature, set to launch this fall, that will harness generative AI to provide visual inspiration for outfits and room designs. Users will be able to input creative queries, such as “style inspo for a green flowy dress for a garden party” or “design ideas for a bedroom.”

The system’s vision match technology will then generate a variety of visual concepts based on the prompt. Leveraging the 50 billion products in its Shopping Graph, it will also display shoppable product listings that correspond to the generated images, seamlessly bridging the gap from inspiration to purchase. This forward-looking tool promises to transform how consumers discover products and conceptualize personal style and interior design.

Source goes from techurch

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