Google announcing the launch of “Virtual Try On” for Google Shopping. This feature uses artificial intelligence (AI) to allow shoppers to visualize how clothes and accessories would look on them before making a purchase.
The Virtual Try On feature is powered by computer vision and machine learning algorithms, which analyze the 3D geometry of the product and the user’s body shape and movement to generate a realistic simulation of how the item would look and fit. Users can see how a product looks from different angles and in different lighting conditions, and can even move around to see how the clothing moves with their body.
Google has partnered with several retailers to offer the Virtual Try On feature for select products on Google Shopping. The feature is currently available on mobile devices for users in the United States.
Virtual try-on for apparel using generative AI and new filters are great features that can enhance the online shopping experience for customers. With the virtual try-on feature, customers can see how clothes look on models with similar body types, making it easier to envision how the clothes will fit on them. This can also save customers the hassle of having to return items that don’t fit well.
See clothes on a range of skin tones and body types
Additionally, the new filters can help customers quickly find the specific colors, styles, and price points they are looking for, which can save them time and make the shopping experience more efficient. Overall, these features can make online shopping more convenient, personalized, and enjoyable for customers.
It’s important for customers to feel represented and included in the online shopping experience, and being able to see clothes on a range of skin tones and body types can help with that. This feature can also make online shopping more accessible to people who may have previously struggled to find clothes that fit their body type or skin tone.
The use of generative AI to accurately reflect how clothes will drape, fold, cling, and stretch on different body types is a significant advancement. By showcasing how clothes look on real models, customers can better visualize how the clothes will look on themselves, which can increase their confidence in purchasing items online.
Overall, this feature can improve the online shopping experience for customers by providing more accurate representations of clothes and promoting diversity and inclusivity in the fashion industry.
It’s exciting to see that the virtual try-on feature is now available for women’s tops from various popular brands on Google, including Anthropologie, Everlane, H&M, and LOFT. This feature can make the online shopping process more interactive and engaging for customers, and it can help them make more informed purchasing decisions.
The use of the Shopping Graph, the world’s most comprehensive data set of products and sellers, can help scale this technology to more brands and items over time. This means that customers will have access to an even wider range of products to try on virtually, making the online shopping experience even more convenient and personalized.
It’s also great to hear that virtual try-on for men’s tops will be launching later this year, which can further expand the availability and accessibility of this feature to a wider range of customers. Overall, these developments can enhance the online shopping experience, making it more engaging, efficient, and enjoyable for customers.
Refine a product to find exactly what you want
Would you like a similar top at a lower price point or a different pattern for that jacket? In a physical store, sales associates can suggest alternative options based on your previous choices. Now, online shoppers can also receive this kind of assistance.
With our new guided refinements, U.S. customers can easily fine-tune their product search to find their ideal item. This is made possible through machine learning and advanced visual matching algorithms that allow shoppers to refine their search based on factors such as color, style, and pattern. Unlike shopping in a physical store, customers are not limited to one specific retailer; they can browse options from various online stores.
This feature is currently available for tops and can be accessed within product listings. By leveraging guided refinements, online shopping becomes more personalized, efficient, and tailored to each individual’s preferences and needs.
We are optimistic about the potential for AI to enhance our daily lives, both in significant and minor ways, such as making shopping more enjoyable and assistive. We are constantly exploring new and innovative ways to leverage advanced technologies like AI to improve the online shopping experience for our customers.
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