Fanatics has introduced "Shop the Look," a new feature designed to assist customers in finding products within its catalog of over 1.5 million unique SKUs. This tool, developed with OpenAI's Codex, suggests coordinated outfits on product pages, matching items by team and intended style.
Justin Tsai, Chief Product Officer for Fanatics Commerce, stated that the company's growth and vast product assortment, with thousands of new products released weekly, created a challenge for customers. Shoppers often spent over 30 minutes per session navigating the extensive inventory. "Shop the Look" aims to reduce this complexity by providing relevant suggestions.
Traditional curation methods, such as photo shoots, have long lead times that do not align with Fanatics' rapid product releases, especially for time-sensitive items like championship merchandise. The new AI feature provides a dynamic solution to this issue.
The feature prioritizes team and player alignment in its suggestions, recognizing that sports fans require highly specific recommendations. This prevents irrelevant pairings, such as suggesting San Francisco Giants items to a Los Angeles Dodgers fan, which would be unsuitable for the target audience.
Fanatics operates as a major sports-industry platform with partnerships across global sports leagues. Its commerce business is projected to exceed $7 billion in revenue this year, with team merchandise being its primary revenue source. This new feature supports the core business by improving the customer shopping experience.
OpenAI has been exploring shopping tools, including a previous feature allowing direct purchases within ChatGPT, which is now being discontinued. The company is shifting its focus to working directly with retailers to develop dedicated applications within ChatGPT. The Fanatics integration represents another instance of OpenAI's collaboration with retail partners.
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Fanatics has launched a new AI-powered feature called "Shop the Look" to help customers navigate its extensive product catalog. This feature suggests coordinated outfits based on team and style, addressing the challenge of long shopping sessions due to a large and rapidly growing inventory.