Boston — Wayfair has launched a new generative AI-backed design tool that allows users to create realistic room imagery based on their specifications.

Muse replaces Wayfair’s previous application, Decorify, which offered consumers several preset looks for various rooms within their home. Using the Decorify app, shoppers would upload a photo of their space and then pick from several styles to transform it, with the option to shop similar looks.

While calling Decorify “a great step toward personalized home design,” Wayfair Director of Research and Development Shrenik Sadalgi noted Muse, while containing elements of Decorify, provides a more “expansive visual journey, where customers can not only apply styles to their spaces, but also explore AI-generated designs and find products that fit their vision.”

With Muse, consumers may select from a trending look like “dining with a coastal vibe,” provide a general description like “living room” or request something quite specific such as “1940s living room with fireplace, patterned sofa and green rug” to call up a roster of visual interpretations.

The resulting images can then be navigated to find one or more that best fits the look the Muse user is trying to achieve. Along with the images are product ideas by category, ranging from wall art to accent chairs to lamps and more, which can be further explored with the “shop on Wayfair” button.

“With Muse, we wanted to make inspiration even more accessible (than with Decorify) — no uploads needed,” said Sadalgi. “Muse offers a virtually limitless catalog of AI-generated, shoppable scenes across a very broad set of styles, which helps users visualize possibilities without constraints. It’s all about making style discovery effortless and fun.”

There is also the option of using Google Lens to find additional products or ideas beyond those shown, including those from other retailers. Sadalgi described Google Lens as “an additional tool for visual discovery,” noting they see it “as an extension of inspiration rather than a competitor to the Muse experience.”

Favorite looks within Muse can be saved for revisiting later or an individual may upload a photo of a room in their home and apply the saved style to that room.

Sadalgi said Muse uses a mix of AI models to create its content. “The key innovation here is the coming together of all of these technologies to create a really compelling UX (user experience) that serves the ideation needs of our customers,” he said.

“At Wayfair, our goal is to make it easy to create a home that is just right for you and Muse delivers on that promise,” said Fiona Tan, chief technology officer. “Leveraging generative AI, we aim to elevate our search experience to be the best in the home category, seamlessly blending inspiration and shopping.”

All of Wayfair’s brands will contribute to the assortment of products shown through Muse, said Sadalgi. “Since these brands cater to different aesthetics — from luxury to farmhouse to modern — Muse will surface a mix of these products from across our portfolio.”

When it comes to judging the success of Muse, “engagement and repeat usage will be good metrics to track and inform the evolution of Muse,” he noted.

“We’re looking to generate real value for customers in an area that has historically been a friction point in the industry,” he said. “People find inspiration on platforms that aren’t dedicated to or weren’t built specifically with the home space in mind. We think harnessing the power of AI, along with limitless ideation and offering it to customers via a compelling and simple UX, with a focus on home, is a value creation opportunity.”

See also:

• Wayfair adds to outlet count with Georgia location
• Citing ‘weak macroeconomics’, Wayfair exits German market

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