The Retailer That’s Obsessed With AI

Apr 1, 2026

Cathaleen (Kat) Chen, retail editor at The Business of Fashion who covers retail strategy and tech, breaks down Revolve’s pivot from influencer spectacle to AI-first retailer. She highlights its engineer-founded, data-science DNA. Conversation covers in-house image-tagging search, personalization, a build-not-buy tech stance, and a company culture that encourages small AI experiments across teams.

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INSIGHT

Revolve Built As A Data Science Company

Revolve was founded by software engineers and is built like a data science company rather than a typical fashion retailer.
Founders Michael Mente and Mike Karanikolas treated every click as a data point early on, making tech and data the company's foundation.

ADVICE

Encourage Companywide Small AI Experiments

Encourage bottom-up experimentation with AI across the company and let employees present successful tests to leadership.
Revolve celebrates even small wins, treating 1% efficiency or output gains as successes worth scaling.

INSIGHT

In-House AI Search Outperformed Third-Party Tools

Revolve built an internal AI-powered image tagging and search tool that outperforms the third-party solution it replaced.
The in-house tool produced double-digit increases in engagement and conversions on product search results.

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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.

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 sequined... 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. "Eeven if something improves efficiency or output by just 1%, that's considered a success,” said Chen.

Additional Resources:

The Retailer That’s Obsessed With AI

Revolve Built As A Data Science Company

Encourage Companywide Small AI Experiments

In-House AI Search Outperformed Third-Party Tools

Why Revolve Can’t Stop Talking About AI | BoF

Why Fashion Doesn’t Talk About How It Uses AI | BoF

Why Revolve Is Embracing Brick-and-Mortar | BoF