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The Debrief | The Retailer That’s Obsessed With AI

The Debrief hosts Brian Baskin and Sheena Butler-Young are joined by BoF’s retail editor Cathaleen Chen to talk about why Revolve is betting on ‘a culture of AI’ for their expansion.
Revolve's AI-generated campaign.
An AI-generated campaign by Revolve. (Courtesy)
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Background:

For years, Revolve was fashion retail’s byword for influencer marketing, particularly around its over-the-top Coachella event. But as the Instagram aesthetic matures and the cost of human-led marketing rises, the company is pivoting. The new mandate? To become as much an AI powerhouse as it is a party-hosting fashion giant.

In a recent conversation with Retail Editor Cathaleen Chen, Revolve founders Michael Mente and Mike Karanikolas argued that AI isn’t just a buzzword for the board; it’s the engine that will sustain their multi-billion dollar dominance.

Chen joined The Debrief to talk about how Revolve is pushing the limits of how AI can be used in retail, and whether its strategy is working.

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Key Insights:

  • Revolve was founded by software engineers who viewed fashion as an e-commerce “white space,” setting it apart from rivals that invested in new technologies only after establishing themselves in the marketplace. “While Revolve looks like a Shopbop or a Net-a-Porter... Revolve is actually built like a data science company.” said retail editor Cathaleen Chen.
  • Revolve differentiates itself by building its own tools where possible, rather than buying off-the-shelf software, including the product search on its website. Using AI, Revolve has moved beyond literal keyword matching to a system that understands the vibe or occasion a customer is shopping for. By analyzing image attributes, the site can surface the perfect “party dress” even if that specific tag doesn’t exist, explains Chen. “What their AI tool is able to do is pull up anything that is sequinned... or textured... it is anticipating the desire.”
  • Revolve fosters a “bottom-up” environment where every employee is encouraged to experiment with AI. They aren’t just looking for “moonshots”; they value any application that moves the needle even slightly. “Even if something improves efficiency or output by just 1 percent, that’s considered a success,” said Chen.

Additional Resources:

Want to dive deeper into an insight from this article? Check out The Brain of Fashion, BoF’s new generative AI tool where you can unlock BoF’s technology archive with a single question.

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