Lowe’s puts project expertise into every hand

Source: OpenAI Date: 2025-05-07 URL: https://openai.com/index/lowes

Summary

Summary

A case study covering Lowe’s use of OpenAI models to put home improvement project expertise into customers’ hands — deploying AI assistants in stores and on the Lowe’s app that guide customers through project planning, product selection, and step-by-step instructions. Lowe’s applied AI to the core challenge of home improvement retail: customers often don’t know what they need for a project.

Implications

Enterprise/retail thread. Lowe’s is a strong retail AI case study because the knowledge gap it addresses is genuine and high-value: home improvement projects involve complex decisions where expert guidance significantly improves outcomes and reduces costly mistakes. AI that can walk a customer through a bathroom tile installation or plumbing repair provides the kind of contextual, project-specific guidance that store associates can’t reliably deliver at scale. The deployment also directly supports revenue — better project guidance leads to more complete purchases and fewer returns. The retail AI context (in-store kiosks, app integration) shows OpenAI’s models operating across multiple customer touchpoints rather than just a single interface.