Google has recently expanded its virtual try-on feature to include shoes, marking a significant advancement in AI-driven commerce. This development follows the company's successful implementation of virtual try-ons for clothing, which has been popular among US shoppers. The feature allows users to upload a full-length photo and see how clothing items, including shoes, would look on them. This is achieved through sophisticated AI that accurately perceives shapes and depths, ensuring realistic visualizations.The expansion into shoes is particularly notable due to the challenges associated with footwear in online shopping. Shoes require precise sizing and visualization, especially concerning foot positions and angles, making them a category prone to high return rates. By addressing this issue, Google aims to reduce uncertainty for consumers and potentially lower return rates for retailers.### Significance for E-commerce and Content InfrastructureThis development holds significant implications for the e-commerce sector, particularly in terms of how products are presented and interacted with.#### Impact on Product FeedsThe integration of virtual try-on features into product feeds could enhance the quality and engagement of these feeds. By providing interactive and personalized experiences, retailers can increase user engagement and conversion rates. This could lead to more dynamic and interactive product listings that go beyond static images, offering a more immersive shopping experience. To understand how to create these, check out our article on <a href="/blog/product_feed/">Product feed</a>.#### Cataloging StandardsThe use of AI in cataloging standards could set new benchmarks for how products are digitally represented. With the ability to accurately overlay products onto user images, Google's technology could push the industry towards more precise and detailed product visualizations, potentially raising the bar for cataloging standards.#### Quality and Completeness of Product CardsEnhanced product cards that include virtual try-on capabilities can improve the completeness of product information. Consumers gain a better understanding of how products fit, which can lead to more informed purchasing decisions. This could encourage retailers to invest in more comprehensive product data, ensuring that product cards are not only visually appealing but also provide detailed and useful information.#### Speed of Product Assortment RolloutThe AI-driven approach to try-on technology can speed up the rollout of new product assortments. By reducing the need for extensive photo shoots and allowing quick digital visualization, retailers can bring new products to market faster, responding more quickly to trends and demand fluctuations.#### Use of No-Code and AIThe incorporation of AI in Google's try-on feature highlights the growing role of no-code and AI solutions in e-commerce. These technologies enable retailers to create interactive and personalized experiences without extensive coding knowledge, making it easier for businesses to adapt and innovate in the digital marketplace. As AI continues to mature, we can expect to see more streamlined content creation processes and enhanced customer experiences across various e-commerce platforms. For insights into automating your processes, read our in-depth analysis on <a href="/blog/creating-a-product-page-from-routine-necessity-to-smart-automation/">Creating a Product Page: From Routine Necessity to Smart Automation</a>.Google's expansion into new countries, including Australia, Canada, and Japan, further underscores its commitment to globalizing this technology. This strategic move not only expands Google's reach but also positions AI as a central component of its e-commerce strategy, offering retailers new tools to engage with customers more effectively. Learn more about it in our guide to <a href="/blog/how-to-upload_product_cards/">How to upload product cards</a>.---From a NotPIM perspective, the evolution of virtual try-on technology underscores the increasing importance of comprehensive product data. As retailers strive to provide more immersive and informative shopping experiences, the need for rich, accurate product information will intensify. Platforms like NotPIM will play a crucial role in helping retailers manage, enrich, and distribute their product data effectively, ensuring seamless integration with emerging technologies and ultimately, a better shopping experience for customers. The key to this is understanding <a href="/blog/data-integration-challenges-whats-holding-your-online-store-back/">Data Integration Challenges</a>. Also, it's important to understand common mistakes and how to avoid them by keeping in mind <a href="/blog/common-mistakes-in-product-feed-uploads/">Common Mistakes in Product Feed Uploads</a>.