Wayfair

Wayfair: Helping customers create spaces they love with AI-powered discovery

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Wayfair embraces Google's Gemini models and Google AI, powering new experiences that make it easier for anyone, anywhere to create their feeling of home.

Taking the friction out of home inspiration

We want to take away the friction from our customers, but also look at ways that we can disrupt and supercharge what they used to do before. Generative AI and agentic capabilities allow us to take a fresh new look at what the process is and how we can optimize.

Fiona Tan

CTO, Wayfair

For more than two decades, Wayfair has been the destination for all things home. With a product catalog boasting over 30 million products from more than 20,000 suppliers across the globe, Wayfair has become the go-to destination for all things home—for every budget, style, and space. 

However, this vast selection can present challenges, as online shoppers sometimes struggle to confidently curate the perfect pieces to bring their dream space to life.

"Part of the problem is our customers can't actually say that they want a 'mid-century sofa,'" says Fiona Tan, Wayfair's chief technology officer. "They might know that they want it to be green, but that's the end of it." 

Traditional online shopping experiences, which require manually scrolling through pages of products, can quickly become overwhelming. A shopper might be shown hundreds of different green sofas, yet find it hard to narrow down their options because they can't articulate the specific style they have in mind.

To solve this, Wayfair is investing in AI-powered discovery, partnering with Google Cloud to pilot its AI-powered design tool Muse and launch a new visual search-focused Discover tab in its app. Wayfair is also a foundational partner in co-developing Google's Universal Commerce Protocol (UCP), a new open standard that enables more seamless, secure interactions between AI agents and retailers' platforms.

"We want to take away the friction from our customers, but also look at ways that we can disrupt and supercharge what they used to do before," Tan says. "Generative AI and agentic capabilities allow us to take a fresh new look at what the process is and how we can optimize."

Wayfair furniture set with blue sofa and patterned pillows.

Reinventing the customer journey

Now, with generative AI and the multimodal capabilities that come with Gemini, I can show you all the different styles and as a customer interacts, we can then arrive on a style that you want. You can find that very visual, inspirational journey that honestly just did not exist before. That is going to be so powerful for Wayfair.

Fiona Tan

CTO, Wayfair

Shopping for the home is a high-consideration experience that relies on building trust and reducing friction. Wayfair's first step was to significantly enhance its product catalog, automating data enrichment with Google's Gemini models on Vertex AI.

Instead of manually tagging attributes like color and style for new products, Wayfair uses Gemini to automatically categorize products, reducing the time needed to curate new and update product listings by 67%. As a result, Wayfair can not only onboard items quickly and make them available to customers with speed but also provide them with as much rich, accurate detail as possible. 

"At the end of the day, we're trying to matchmake the best products for our customers," Tan says. "Making sure the product information is as complete as possible, we are enriching it, is super important. With the capabilities that we now have, we can do that at scale."

In addition, the move has provided a strong foundation for advancing AI-powered discovery that is more intuitive and personalized. The curation journey typically starts with inspiration—and increasingly, conversations with AI. Wayfair is exploring ways Google's family of Gemini models, such as Nano Banana, can help customers visualize products and hone in on their favorite styles, piloting a new AI-powered design tool Muse and a Discover tab that let customers browse photo-realistic room designs and imagery to spark ideas.

"Now, with generative AI and the multimodal capabilities that come with Gemini, I can show you all the different styles and as a customer interacts, we can then arrive on a style that you want," Tan explains. "You can find that very visual, inspirational journey that honestly just did not exist before. That is going to be so powerful for Wayfair." 

These new features are bridging a critical gap in the shopping journey, allowing customers to connect abstract inspiration to real products in Wayfair's current inventory through natural language and visual discovery. With Muse, for example, a shopper can type in any style of room they are looking for, as specific as "moody 1920s style living room" or as generic as "dining room," delivering rich AI imagery, along with shoppable suggestions from Wayfair's catalog.

"Having a notion of a vibe or a style or a feeling, being able to see different options, and the part that really comes to life is that we have real products that can fulfill this vision that you have," Tan says. "Everybody should feel like they have an interior design co-pilot with them the entire time that they're shopping on Wayfair."

Shaping the future of home design

On its mission to help everyone create their feeling of home, Wayfair is also working to ensure reliable, AI-powered discovery wherever its customers—both on and off its platforms. Wayfair is a foundational partner co-developing Google's Universal Commerce Protocol, a new open standard designed that enables next-generation agentic commerce journeys. 

"The reality is our customers are shopping on our platforms, but they're also now using AI platforms," Tan explains. "You want to be able to provide the capabilities and consistent experience that allows them to discover our products on the AI platform." 

It's exciting to see a customer who can ask questions from within the AI mode or Gemini and be able to discover products from Wayfair, do some research on it, and then check out.

Fiona Tan

CTO, Wayfair

The UCP establishes a common language between consumer surfaces, businesses, and payment providers, ensuring reliable interactions whether a customer shops with Wayfair directly or through external partners. Soon, the UCP will power a new experience on eligible Google product listings in AI Mode in Search and the Gemini app, allowing customers to checkout directly from Wayfair—without having to leave Google. 

"It's exciting to see a customer who can ask questions from within the AI mode or Gemini and be able to discover products from Wayfair, do some research on it, and then check out," Tan says. "The fact that the merchant of record is still the retailer is extremely key because we've all built on our brand promise." 

Experiences like these are laying the groundwork for a far more ambitious vision, paving the way for a more integrated, connected retail future. At the same time, Tan believes the beauty of the protocol is that it will give retailers more freedom to meet customers where they are while maintaining control over their processes and core values.

"We stand behind our products, we've got great customer service, and we have the ability to fulfill and deliver to you," Tan says. "We want to make sure that our customers continue to have that trust in our brand, and with UCP, it allows you the best of both worlds."

Wayfair large-format retail store exterior under blue sky

Wayfair is the destination for all things home, making it easy for customers to create a home that is just right for them. Whether you're looking for that perfect piece or redesigning your entire space, Wayfair offers quality finds for every style and budget, and a seamless experience from inspiration to installation.

Industry: Retail

Location: United States

Products: Gemini, Gemini Enterprise Agent Platform, Universal Commerce Protocol (UCP), Google Workspace

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