Google takes the online shopping experience to a new level thanks to AI

try on.jpg
try on.jpg

When trying on clothing models in physical establishments, users will be able to know if they fit their personal styles, if they wear appropriate sizes, and much more, before paying and taking them home, aspects that may be missing when buying clothes online, tempting luck, leading in the worst case to making returns.

With this in mind, Google has just introduced two new features that try to bring the online clothing shopping experience closer to what users usually find when buying clothes in physical stores.

Bring online shopping experiences closer to shopping in physical stores

For this reason, now they bring the virtual fitting of clothes through the use of generative AI, aimed at showing clothes from a wide selection of real models, and filters to find just the model you want to obtain.

Google provides the following data that the new features are intended to address:

Forty-two percent of online shoppers feel unrepresented by images of models, and fifty-nine percent are dissatisfied with an item they bought online because it turned out differently than they expected.

Using a diverse set of real models

Regarding the generative AI-based virtual try-on function, they point out that their generative model is capable of faithfully representing the photographed clothing in a series of situations with a single photo, showing the clothing on a diverse set of real models, with sizes ranging from XXS to 4XL, and with different skin tones, body shapes, ethnicities and hair types, striking various different poses.

For now, this feature will be available in the United States for the purchase of women’s tops from brands such as Anthropologie, Everlane, H&M, and LOFT.

To make use of this function, all you have to do is click on the products that have the Test badge in the search results and then choose the desired model.

And about its future expansion of options, Google says that:

By working together with our Shopping Graph, the world’s most comprehensive data set of products and sellers, this technology can scale to more brands and items over time.

New filters to find the exact model to buy

And with respect to the new filters, Google points out that users can make their adjustments until they find exactly the desired model. For it:

Thanks to machine learning and new visual matching algorithms, you can refine the use of inputs like color, style, and pattern.

Similarly, these filters are currently limited to women’s tops on purchases made within the United States. And regarding the inclusion of AI in shopping experiences, Google considers that:

We believe AI will continue to improve our lives in ways big and small, including making everyday activities like shopping a little more useful (and fun).

More information: Google

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Brian Adam
Professional Blogger, V logger, traveler and explorer of new horizons.