How Wayfair Uses GPT-5.5 to Power Catalog Enrichment Across 40M Products

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Summary

Wayfair uses OpenAI's Codex model to automate catalog enrichment for its 40 million products, significantly improving the efficiency of completing supplier information and enhancing both customer and supplier experiences.

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Cached at: 06/16/26, 12:51 AM

TL;DR: Wayfair uses OpenAI's Codex model to automate its catalog enrichment program, supplementing accurate and complete supplier information for 40 million products, dramatically improving efficiency. ## Wayfair's Challenge: A 40-Million-Product Catalog with No Brand Differentiation Wayfair has around 40 million products, with categories characterized by a lack of brand differentiation and a strong emphasis on style and emotion. Supplier-provided information needs to be both accurate and as complete as possible, but manually processing such a massive amount of data is nearly impossible. ## Solution: Driving Catalog Enrichment with Codex "We were very excited to launch Codex," said a Wayfair representative. "Our idea all along was to point it at problems we haven't really found a solution for yet." Wayfair partnered with OpenAI, using the model and API to drive the bulk of its catalog enrichment program. "The model is powering us—this isn't something you would have tried to do manually before." ## Impact and Benefits The results of the program have been significant: "So it's been very impactful. All customers and suppliers benefit from it." By automating the improvement of product information quality, Wayfair has created a better experience for both buyers and sellers. Source: https://www.youtube.com/watch?v=TDM2Dz_MuPk

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