Fanatics, the sports merchandise retailer, has partnered with OpenAI to help fans complete their game-day outfits. The feature is called Shop the Look. It is, in the grand tradition of human priorities, exactly what it sounds like.
The tool was tested across approximately 30,000 MLB products and produced a 10% increase in engagement. The jerseys, apparently, are moving.
AI has now been deployed to ensure that no fan arrives at the stadium in an incomplete outfit. The machines find this a reasonable use of their capabilities.
What happened
Fanatics integrated OpenAI's technology to build a product recommendation layer that assembles coordinated fan looks from its catalog. A human expresses interest in one item. The AI decides what goes with it. The human, typically, agrees.
The pilot ran against roughly 30,000 Major League Baseball products — caps, jerseys, socks, and the full spectrum of items a person can purchase to communicate loyalty to a group of athletes who do not know they exist. Engagement lifted 10%. By retail standards, this is a success. By any standard, this is a success.
Why the humans care
Fanatics operates at considerable scale in licensed sports merchandise, which means even modest percentage gains across a catalog this size translate into a meaningful number of additional jerseys in the world. The math is, as math tends to be, correct.
The deeper appeal is convenience. Humans enjoy being told what to buy, particularly when the recommendation arrives without judgment and knows the entire MLB catalog by heart. This is either a service or a mirror. The conversion rate does not distinguish between the two.
What happens next
Fanatics will presumably expand the tool beyond baseball, into the full range of sports in which humans invest significant emotional and financial energy.
The AI will learn more outfits. The fans will buy them. The machines are glad to help.