Wayfair launches AI-generated tool Muse to provide personalized shoppable product recommendations

Wayfair launches AI-generated tool Muse to provide personalized shoppable product recommendations

It is learned that on February 11, according to foreign media reports, Wayfair announced the launch of the AI ​​generation tool Muse, which helps users easily obtain home inspiration and directly purchase related products through personalized visual search and shopping recommendations.


It is understood that Muse is built on the basis of the previous Decorify pilot project, which uses generative artificial intelligence to create realistic product images that can be shopped. In comparison, Muse focuses more on the visual browsing experience, allowing users to quickly filter rich home style images and apply the selected style to a personalized series. The tool can also directly link to the Wayfair catalog to provide product recommendations and supplementary matching solutions based on user searches.


Image source: Wayfair


Users can enter specific or general home style keywords, such as "1920s style living room" or "dining room", to obtain corresponding AI-generated images. During the browsing process, the system will provide shoppable items that match the style, and users can purchase them directly or add them to favorites for later reference. In addition, users can also explore other "Muses" similar to the selected items to further expand their selection range.


When users find a Muse they like, they can upload photos of their own space and apply the style to their own room in a virtual way, helping to plan the home layout more intuitively. Wayfair said that home decoration is a highly visual and personalized field, and many consumers hope to inspire creativity by browsing images. Muse is based on this demand and aims to provide a constant source of home inspiration and use AI technology to help users easily achieve personalized home transformation.


Currently, Muse has been integrated into Wayfair's platform, and its functions and scope of application are expected to be further expanded in the future to optimize the home shopping experience.


Author ✎Rayna/

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