Fanatics Partners with OpenAI to Launch AI Shopping Feature Across Major Sports League Stores

Fanatics Deploys AI Shopping Feature Across Major League Stores

Fanatics has partnered with OpenAI to launch an upgraded AI shopping feature called Shop the Look across its e-commerce platforms, including official NFL, NBA, MLB, and NHL online stores1

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. The AI-powered outfit-matching tool addresses a persistent challenge for the sports merchandise retailer: helping customers navigate a product catalog containing more than 1.5 million unique SKUs1

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. Justin Tsai, chief product officer for Fanatics Commerce, explained that shopping sessions routinely exceeded 30 minutes as customers searched through the vast inventory, with the company releasing upwards of 1,000 new products each week1

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How OpenAI's Codex Powers Coordinated Team Merchandise Recommendations

The Shop the Look feature uses OpenAI's Codex to parse product and catalog data, identifying compatible items and continuously reevaluating AI recommendations1

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. When a fan views a jersey, the system suggests coordinated outfits including hats, socks, and accessories that match both the team and intended style1

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. Team alignment matters critically in sports retail. "Nobody who is a Los Angeles Dodgers fan wants to be matched with a San Francisco Giants item," Tsai noted, emphasizing that "team and player alignment is extremely important in our world"1

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. The recommendations refresh daily as product catalogs and stock levels change, ensuring suggestions reflect available merchandise rather than out-of-stock items4

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Product Engagement Jumped 10% After AI-Driven Innovation Rollout

In testing across approximately 30,000 MLB products, the AI shopping feature generated a 10% increase in views of recommended items compared to the previous version1

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. Tsai said the suggested items help shoppers have "more conviction" about purchases by showing how an item fits with other team gear1

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. The development timeline proved remarkably efficient: Fanatics engineers built and tested an initial set of 50 product looks in less than 24 hours using Codex, then refined the system over following days before approving a minimum viable product that same week3

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. This rapid deployment matters for a business where team merchandise remains the biggest revenue source, with Fanatics CEO Michael Rubin projecting the commerce business will exceed $7 billion in revenue this year compared to roughly $5.5 billion for its collectibles business including Topps trading cards1

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Why Traditional Personalization Falls Short in Sports E-Commerce

Rosemary DeArago, head of industry go-to-market at OpenAI, called personalization in retail "an age-old problem"1

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. Traditional e-commerce personalization attempts to create customer fingerprints through purchase history, location data, or logged-in accounts, but these efforts often miss the mark1

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. "In the past we were trying to stitch together something that would be good to show a customer," DeArago explained. "With AI, you can do more deterministic matching to do personalization in this next-level way"1

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. For Fanatics, traditional curation strategies like photo shoots and stylized outfits carry lead times incompatible with rapidly-released items such as championship shirts and hats1

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. Fanatics Commerce manufactures more than 45 million items annually and sells to customers in over 180 countries, making manual product discovery increasingly impractical1

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What This Signals About AI's Role in Retail Technology

The Fanatics partnership represents a shift in how OpenAI approaches shopping capabilities. OpenAI has been experimenting with shopping tools for ChatGPT since the chatbot's launch, including an Instant Checkout feature last fall that let users buy products directly within ChatGPT1

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. The company is now ending that effort and working directly with retailers to create dedicated apps within ChatGPT1

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. The Fanatics integration takes a different approach, embedding AI recommendations into the retailer's existing customer experience rather than requiring shoppers to use a separate interface3

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. DeArago acknowledged that curated looks and in-person shopping will maintain their place in retail, but said AI can narrow large selections and demonstrate what works with significant purchases like authentic team jerseys1

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. Watch whether the 10% engagement increase translates to measurable sales growth and whether other retailers adopt similar AI-driven innovation for product discovery across their platforms.