Preeti
Google has updated its shopping tool using AI and machine learning to offer users customized search results based on their preferences. The Shopping Graph application helps users sift through billions of products to find exactly what they’re looking for. Users can rate products and receive personalized recommendations, with Google remembering their preferences for future searches.
Shoppers can specify their favorite brands and use AI-powered image generation software to search visually for products. The technology allows users to input specific search queries and generate visual representations of desired products. Users can then click on shoppable options from the web. Google’s virtual try-on tool allows users to see how products might look on real models before making a purchase.
Google has also partnered with Victoria’s Secret to provide a conversational chatbot powered by AI, offering personalized style recommendations to shoppers. The insights gathered from these interactions can inform product development and enhance the overall shopping experience.
Overall, Google is focused on streamlining the shopping process and providing a more personalized and efficient online shopping experience for users.
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Source link: https://sourcingjournal.com/topics/technology/google-graph-online-shopping-virtual-try-on-personalization-ecommerce-501591/
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