Stitch Fix Inc. said clients who use its AI-generated try-on imagery spend significantly more over 90 days, a disclosure that landed alongside fiscal 2027 guidance implying revenue could fall as much as 2.8%.
CEO Matt Baer told the Sept. 23 earnings call that the San Francisco-based styling service has pushed more than 22 million Vision images to clients since the tool launched in October, and that engagement with it correlates with higher Freestyle spending.
"We continue to see a significant lift in 90-day Freestyle spend from clients who engage with it," Baer said on the call. "By combining AI with our deep understanding of each client's preferences, Vision provides personalized style inspiration."
The company did not quantify the size of that lift in percentage or dollar terms, leaving the AI contribution to revenue unmeasured in the reported results. Stitch Fix expanded Vision in June to let clients generate personalized images of themselves in recommended outfits, selecting "See it on me" while browsing the Freestyle on-demand shop using a selfie uploaded earlier.
For the fiscal fourth quarter ended Aug. 1, Stitch Fix reported a net loss of $2.1 million, or 2 cents a share, against a Zacks consensus estimate of a 6-cent loss. Adjusted for restructuring costs, the loss was 1 cent a share. Revenue rose 4.2% from a year earlier to $324.4 million, just short of the $325 million four analysts surveyed by Zacks expected.
Revenue per active client climbed 7.8% to $592, the highest in company history, while the active client count slipped 1.4% to 2.3 million. Baer attributed the per-client gain to larger fixes, the option to convert a Freestyle purchase into a fix, the addition of family accounts, and an assortment shift toward activewear, footwear and accessories.
Full-year revenue for fiscal 2026 rose 6.4% to $1.35 billion, returning the top line to growth a year ahead of the company's own schedule. Stitch Fix's quarterly growth also outpaced the total U.S. apparel, footwear and accessories market, which Baer said was flat in the period.
The guidance is where the AI narrative collides with the numbers. Stitch Fix forecast fiscal 2027 revenue of $1.31 billion to $1.36 billion, a range spanning a 2.8% decline to a 0.9% gain, and guided to $323 million to $328 million for the October quarter. Shares fell 17.4% to $2.33 in after-hours trading.
Baer pointed to two time-bound drags on first-quarter fix volume: a timing change that pulled some fixes into the fourth quarter, and an unintended change to the post-checkout offer flow in August that limited how many clients could request another Fix. He said the flow issue has been corrected.
"Those two factors are time bound and they are behind us," Baer told WWD. "We're now focused on returning to revenue growth and sustaining that revenue growth going forward."
The CEO also flagged a tougher macro backdrop, saying consumer headwinds show up "nearly exclusively within our ability to acquire new clients as cost effectively as we otherwise would." Baer said the core client remains resilient across income cohorts.
Beyond the try-on tool, Baer said AI is supporting stylists on item recommendations, improving daily labor planning and real-time scheduling in fulfillment centers, and handling routine customer service requests so staff can focus on higher-touch calls. "Together, these applications improve productivity and lower our cost to serve," he said.
The read-through for holders is a split verdict. The per-client math supports the argument that AI merchandising converts into larger baskets, but the company has not disclosed the magnitude of the Vision lift, so the effect cannot yet be separated from assortment changes, family accounts or Freestyle-to-fix conversions. The guidance range, meanwhile, puts the burden on the corrected checkout flow and new-client acquisition rather than on AI engagement.
Investors will get the next test when Stitch Fix reports fiscal first-quarter results in December, the first disclosure covering a full quarter of the corrected offer flow. Peer read-through extends to other apparel e-commerce names leaning on generative-AI visualization, including Amazon and Zalando, though neither has attributed a quantified sales lift to such tools.
This article is for informational purposes only and does not constitute investment advice.