Google is constantly evolving its platform to provide users with a more personalized shopping experience, and they are currently experimenting with new tools to enhance this experience even further. These new features include style recommendations, brand preferences, generative AI for product search, and virtual try-on technology.
The introduction of style recommendations allows users to receive more personalized results when searching for specific apparel items. When users search for shoes, for example, they will come across the Style Recommendations section. Here, they can offer ratings with thumbs up or thumbs down, or simply swipe right or left to immediately access personalized results. If shoppers are not satisfied with their personalized results or would like to continue browsing, they have the option to rate more items and view another set of results. Google will also remember these preferences for future searches, providing users with tailored recommendations based on their past interactions with products.
Managing style recommendations is also made easy. Users have the option to tap the three dots next to the “Get style recommendations” section and explore personalization options in the “About this result” panel. This allows users to correct any incorrect ratings or choose to not see personalized shopping results.
Another feature Google is testing is brand preferences. Users can now personalize their shopping experience by selecting preferred brands. Once chosen, options from these brands will appear instantly. Managing brand preferences is also simple, with users able to tap the three dots next to the “Popular from your favorite brands” section and access personalization options in the “About this result” panel.
In addition to style recommendations and brand preferences, Google is piloting an AI image generation tool for shopping. This tool allows users to generate images of specific items based on their preferences. For example, if a user is searching for a “colorful quilted spring jacket,” they can tap “Generate images” after their search to see photorealistic options matching their preferences. Once they find an image they like, they can click on it to explore shoppable options conveniently.
Lastly, Google is testing a virtual try-on tool in the U.S. This tool allows users to see what a product looks like on a diverse set of real models ranging in size from XXS-4XL. When seeing the “try-on” icon in shopping results, users can simply click on it to visualize the product on different models, helping them make more informed purchasing decisions.
These new tools from Google offer businesses exciting opportunities to showcase their products and engage with high-value consumers. Personalized shopping experiences tailored to specific preferences are proven to increase the likelihood of purchases. With Google’s constant updates and focus on making the shopping experience tailored to each individual, users can expect more satisfying and efficient shopping journeys.
Google’s VP/GM Consumer Shopping, Sean Scott, emphasizes the importance of providing personalized shopping experiences, stating that “no two shoppers are alike.” With billions of products constantly being refreshed and updated on Google’s platform, the Shopping Graph technology ensures that users can find exactly what they like with just a few clicks.
In conclusion, Google’s ongoing experiments with new tools for personalized shopping are revolutionizing the way users discover and purchase products. With features like style recommendations, brand preferences, generative AI for product search, and virtual try-on technology, Google is enhancing the user experience and providing businesses with new opportunities to engage with customers. As Google continues to innovate and tailor its platform to individual preferences, users can expect a more seamless and personalized shopping journey.
