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Google Enhances Shopping Experience with AI-Powered Fashion Idea Generator
Google announced new AI features for Google Shopping—a platform designed to compare products and help users make a purchase decision—this Wednesday. Gemini will enhance features such as “vision match” for fashion products, AR beauty to help shoppers envision how products will look on them, and virtual try-ons to visualize garment combinations.
In a Rush? Here are the Quick Facts!
- Google Shopping introduces AI-powered features like vision match, AR beauty, and virtual try-on to enhance online shopping.
- The new vision match tool lets users describe an outfit, and AI suggests real products available in stores.
- Google expands virtual try-ons to dresses, pants, and skirts, using AI to showcase outfits on diverse body types.
According to the official announcement, users make more than 1 billion purchases through Google every day. The tech giant is now releasing, in the United States, new AI-powered features—a few of them previously tested on the Google Labs experiment program—to help users with new and enhanced shopping experiences.
Starting this week, mobile users can try Google’s “vision match” feature, where they describe to Gemini the outfit or product they are looking for and the AI tools suggest real-life products available in the market. The feature will be available on the Shopping tab and on the regular search.
“Vision match lets you describe any garment you have in mind and then uses AI image generation to show you a few ideas of what it could look like and similar shoppable products,” wrote Lilian Rincon, Vice President of Product for Google Shopping.
Users are encouraged to provide as many details as they can and to try the prompt feature to get ideas and suggestions on the next purchase.
The Tech giant has also enhanced its AR beauty feature, including popular makeup products among celebrities, influencers, and current trends, as well as specific styles and looks to help shoppers see how the products would look on them.
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The virtual try-on feature has expanded, it now features dresses, pants, and skirts from multiple brands in multiple sizes and considering different models as reference.
“You can see what the garment looks like on a diverse set of real models ranging from XXS-XXL,” added Rincon. “To improve length accuracy and brand styling, we’ve updated our Machine Learning models to generate the full look from the matching top all the way to the shoes the model is wearing.”
In October, Google added personalized AI tools and experimental features to its shopping platform, encouraging shoppers to interact and provide feedback. The tech giant seems to be getting ahead of the changes AI has been generating in shopping experiences and the e-commerce and retail industries.
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