Wayfair just published a case study detailing how it uses OpenAI models across two critical operations: customer support triage and product catalog cleanup.
The headline number is a 75% reduction in manual review costs. Wayfair's catalog has millions of product listings, and generative AI now handles identifying duplicate and inconsistent entries that previously required human reviewers. The company says cleaner product data is driving measurably higher add-to-cart rates, though it did not share specific conversion figures.
On the support side, Wayfair runs fully autonomous AI bots handling common customer inquiries around the clock. For more complex issues, human agents work alongside AI copilots that use intent-based routing - meaning the system classifies what a customer actually needs before deciding whether to escalate to a person and which specialist should handle it. This is a practical example of the "AI triage" pattern that's becoming standard in large e-commerce operations: let the model handle password resets and order tracking, route the hard stuff to humans with full context already loaded.
This is one of several AI partnerships Wayfair has announced recently. The company also signed on to Google's Universal Commerce Protocol in January 2026 and has been positioning itself to make its catalog discoverable and transactable inside AI-powered shopping experiences from Google, OpenAI, and Perplexity.
For anyone running e-commerce support, the 75% cost reduction on catalog review is the number to pay attention to. That is not a small efficiency gain - it is the kind of result that makes the business case for AI adoption straightforward.