Key Takeaways:
- Fanatics and OpenAI launched Shop the Look, an AI recommendation tool that suggests coordinated sports merchandise by team and personal style.
- Testing across roughly 30,000 MLB products showed 10% higher engagement than Fanatics’ previous shopping experience, according to OpenAI’s October 26, 2026, announcement.
- Fanatics manages more than 1.5 million products across 180 countries, a catalog scale that makes AI-powered discovery increasingly essential for sports retail.
Sports fans know the feeling. You find the perfect jersey, then spend 20 minutes scrolling for a hat that you actually want to wear. That friction, small as it sounds, has become a real problem for an industry built on identity and speed.
Fanatics and OpenAI think they’ve found a fix. Their new Shop the Look feature, announced October 26, 2026, is a case study in how artificial intelligence can solve a genuine retail headache rather than simply chase a tech trend.
What is the Fanatics and OpenAI Shop the Look Partnership?
Shop the Look is an AI-assisted recommendation tool built using OpenAI’s Codex. It is now live across Fanatics.com and the official online stores of the NFL, NBA, MLB, and NHL. When a fan browses a jersey or other piece of gear, the tool suggests coordinated items, think matching headwear or streetwear, pulled from current inventory and tailored to that fan’s team and style.
Fanatics and OpenAI tested the approach on about 30,000 MLB products before rolling it out more broadly. The result: 10% higher engagement compared with Fanatics’ previous shopping experience, according to OpenAI’s own account of the testing. The companies also moved fast. The first 50 product recommendations were built and tested in under 24 hours, with the full minimum viable product approved within the same week. That pace runs counter to the common perception of new technology like this. Using enterprise AI doesn’t have to mean years of planning before it reaches customers.
This partnership is not an isolated experiment. It is a useful starting point for a much bigger story about how artificial intelligence is beginning to reshape sports retail and merchandising from the ground up.
Why Did Sports Merchandise Need an AI Solution?
Scale is the simplest answer. Fanatics alone offers more than 1.5 million products across 180 countries, with up to 1,000 new items added every week. That kind of inventory turnover makes manual curation nearly impossible to sustain at a useful pace.
Timing compounds the challenge. Limited-edition merchandise tied to a championship win or a surprise trade can sell out within days, sometimes hours. By the time a human merchandising team catches up, the moment, and the sales opportunity, may already be gone.
Shopping behavior adds another layer. Fans regularly spend more than 30 minutes per session searching for matching pieces, according to Fanatics. That is a long time to ask a customer to do the retailer’s work of cross-referencing style and availability manually. Often, that friction leads customers to give up and abandon the original purchase altogether.
How Does AI Handle Sports Shopping Differently Than Other Retail?
Generic product recommendation engines were not built for sports fandom, and that distinction matters more than it might seem. In most retail categories, style and color coordination are the primary goals. In sports merchandise, team loyalty outranks everything else.
A logo is not a design choice. It signals allegiance, and an algorithm that treats two rival teams’ caps as interchangeable because they share a similar color or shape has missed the point entirely. Think about a Bengals fan being recommended a Browns cap just because it was orange, or the algorithm seeing Mets and Yankees logos as similar because of the “NY.” Not only does this add friction to the sale, it arguably does something even worse: it makes the sports fan you’re serving mad!
Shop the Look draws on live product data and real-time inventory, with daily refreshes that keep suggestions current and, critically, avoid pairing fans with rival-team gear. Fanatics’ merchandising rules guide which combinations are compatible and relevant; the AI applies those rules at a speed and scale humans alone can’t match. That attention to context is what separates useful sports retail AI from a basic recommendation widget. It requires understanding not just what a product looks like, but what it means to the person buying it.
What Does This Mean for the Broader Retail Landscape?
The most notable thing about Shop the Look may be what it is not. It is not a flashy chatbot demanding attention or a gimmick designed to generate headlines. It works quietly in the background, organizing a sprawling catalog so shoppers can decide faster.
It is personalization that answers an immediate question. What goes with this? What’s actually in stock? This tends to earn more trust than personalization that interrupts. The speed of this rollout also signals something broader about enterprise AI adoption: large organizations can move from testing to production in weeks, not years, when the use case is specific and well defined. That speed-to-value lesson extends well beyond sports apparel.
What Sellers and Retailers Should Watch For
Like it or not, personalization is the new baseline. If you’re not offering tailored recommendations based on purchase history or online behavior, you’re already falling behind. AI can drive engagement by predicting what customers want before they know it themselves—boosting conversions by as much as 10%, according to Fanatics data.
But don’t stop at product recommendations! Visual search functionality is quickly becoming important in ecommerce. Fans will soon expect to snap a picture of their favorite player’s jersey or hat and instantly find it online. Sellers should consider investing now in platforms that facilitate these features. Finally, future-proof your inventory strategy—AI-driven analytics can help predict demand spikes for trending merchandise well before the season kicks off. The faster you adopt AI tools that prioritize ease, speed, and fan-specific insights, the more equipped you’ll be to thrive as sports retail evolves.
The next wave of useful AI will not announce itself with fireworks. It will simply make the shopping experience feel a little less overwhelming, one correctly matched outfit at a time.
(Note: AI assisted in summarizing the key points for this story.)