Google recently unveiled a new tool dubbed “Try On” at the Google I/O developer conference with the intention of improving the online purchasing experience. To give users a more individualized and relatable purchasing experience, the tool makes use of generative artificial intelligence (AI).
According to Google, their online poll found that a sizable portion of online buyers were disappointed with the way that models were depicted and the actual quality of the products they bought. Google created the “Try On” option in response to these worries, allowing users to choose models using a “Try On” badge in Google Search results.
Lilian Rincon, senior director of product in Google’s shopping sector, explained that the tool incorporates diverse models representing different sizes, skin tones, body shapes, ethnicities, and hair types. Using a generative AI model, it accurately depicts how a piece of clothing would drape, fold, stretch, and create wrinkles and shadows on real models in various poses.
Currently, US shoppers can virtually try on products from a range of fashion labels, including Anthropologie, Everlane, H&M, and LOFT. The technology is powered by Shopping Graph, a comprehensive data set of products and sellers, and Google plans to expand the tool to include more brands and items over time.
Along with AI models, the platform also provides sophisticated features like filters and refine options that let customers personalize their shopping preferences and pick colors, styles, and patterns.
Google’s decision to integrate AI into online purchasing is a response to the industry’s expanding use of AI-powered solutions. As a way to improve their platforms and give customers better experiences, other businesses, such as Shopify, Instacart, eBay, and Amazon, have also made forays into the field of artificial intelligence.
With the “Try On” tool, Google aims to address the frustrations associated with buying clothing online. By leveraging AI and providing a more inclusive representation of models, Google hopes to revolutionize the online shopping experience and offer users a more meaningful and satisfying interaction with virtual products.