The home furnishings category generates hundreds of billions of dollars annually, yet the shopping experience remains frustratingly complex for most consumers. Nearly every shopper reports feeling overwhelmed by options, with the average furniture purchase taking weeks and requiring dozens of open browser tabs before a final decision.

"The average [shopping journey] is something like nine hours and 13 tabs used just to find a solution to a furniture problem," said Dan Bennett, CMO of furniture.com, on a recent episode of the "Reimagining Retail.”

In a category plagued by low trust, high consideration, and infrequent purchases, consumers don’t really need more ways to discover products, but rather more help in making the right decision.

The trust problem in furniture retail

Furniture ranks among the categories with the lowest consumer trust scores, according to research conducted by furniture.com. The issue stems from multiple friction points that compound the shopping challenge.

"It's expensive in many cases. It's usually, for many people, it's the third most expensive thing they'll buy behind a house and a car," Bennett said. "It's very emotional, it's very visual, it's very personal. It's a low frequency purchase, so people don't have the muscle memory necessarily."

Traditional online furniture retailers often rely on dropshipped products from unknown brands, further eroding confidence. Furniture.com's approach aggregates multiple trusted retailers, including Bloomingdale's, One Kings Lane, and Serena and Lily, into a single platform with unified checkout, bringing together three million SKUs across partner brands.

By consolidating known brands in one destination, the platform addresses the confidence gap that prevents many consumers from completing furniture purchases online. The model shifts focus from brand-first shopping to attribute-based discovery, matching how consumers actually search for furniture.

Conversational AI reduces decision paralysis

Furniture.com’s AI assistant, called Dottie, represents a shift from traditional keyword search to natural language interaction. While Google searches typically contain three to four words, according to Bennett, AI prompts average 23 to 24 words, allowing for more nuanced requests.

"People don't talk like furniture salespeople. They talk like human beings," he said. "They're not going to talk about a 92-inch performance fabric with kiln-dried wood. They're going to talk about needing a durable sofa for a small apartment with a dog."

The conversational interface helps shoppers articulate needs without requiring industry terminology, then narrows results to eight to 10 relevant options rather than presenting thousands of choices.

Early results show promise: Since launching the unified checkout experience in February 2024, furniture.com has seen "dramatic reduction in returns," Bennett noted, though the return cycle requires time to fully materialize.

AR tools show promise but aren't the primary solution

While augmented reality tools from companies like IKEA have demonstrated ability to increase conversion and decrease returns for over a decade, conversational AI has proven more immediately valuable for furniture.com's audience.

"What we've seen with the fairly dramatic evolution of AI is that the ability to talk semantically, especially with furniture, is that people don't mind spending the time to do the work here," Bennett said.

The platform does incorporate visual elements, including the forthcoming visual search feature, but Bennett noted that removing friction through natural language proved more impactful than visual tools alone.

Listen to the full episode

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