GOOGLE’S NEW TRY-ON FEATURE LETS YOU TRY ON CLOTHES VIRTUALLY, BUT IT’S NOT IN SA YET

It’s often challenging to envision how clothes will look on you before making a purchase. However, Google has introduced a solution to alleviate this concern by bringing the fitting room experience directly to your device.

Through Virtual try-on, Google enables online shoppers to see how clothes would appear on a variety of real models, allowing them to gauge how the clothing would suit their body type and skin tone.

Lilian Rincon, senior director of product at Google, highlighted the significance of this feature, stating, “Forty-two percent of online shoppers don’t feel represented by images of models, and 59% feel dissatisfied with an item they shopped for online because it looked different on them than expected. 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.”

Here’s a breakdown of how the feature works:

Google employs a generative AI model that utilizes just one image of a clothing item to simulate its drape, fold, cling, stretch, and the formation of wrinkles and shadows on a diverse range of real models in various poses. To access the feature, users need to select products that have the “Try On” badge on Search and choose the model that resonates most with them.

Google’s try-on feature incorporates real-life models of different sizes, ranging from XXS to 4XL, representing diverse skin tones, body shapes, hair types, and ethnicities.

Initially, the feature allows US shoppers to try on women’s tops from various brands, including Anthropologie, Everlane, H&M, and LOFT.

This technological solution possesses the potential to expand its coverage to include more brands and items over time, thanks to the Shopping Graph, a comprehensive dataset of products and sellers.

This expansion will encompass more options for virtual try-on in the apparel category, including men’s tops, which is expected to launch later this year.

Enhancing the Search Experience:

Google has also introduced guided refinements to assist customers in finding specific products while shopping online.

Within the United States, shoppers can utilize this feature to fine-tune their search parameters until they find the exact item they’re looking for.

Through machine learning and advanced visual matching algorithms, users can refine their search using inputs such as colour, style, and pattern.

Unlike shopping in physical stores, this feature is not limited to a single retailer. Instead, users will be presented with options from various online stores.

The guided refinements feature is currently available for tops, and users can find it directly within the product listings.