Reported impact
Business outcome
Lowe's turned AI into a retail operating layer that helps customers and associates make better project decisions, supported more than 50 machine-learning models across core operations, and created the governance and training needed to scale adoption across the company.
- Customer Experience
- Productivity Improvement
- Revenue Growth
Solution
Lowe's built a layered AI program around OpenAI's APIs and its own retail data to support how customers shop, how associates sell, and how teams run operations. On Lowe's.com, Mylow acts as a home-improvement advisor that turns natural-language questions into trusted project guidance and tailored product recommendations. In stores, Mylow Companion gives associates instant access to project steps, product details, and availability so they can answer complex questions in any department. These customer-facing experiences are grounded in Lowe's century of project expertise and linked to broader machine-learning deployments in pricing, forecasting, and supply chain. Around the tools, Lowe's created an AI governance committee, an AI Community of Practice, and a transformation office so adoption, training, and measurement could scale with the business rather than remain isolated experiments.
Data flow
Customer or associate questions enter Mylow or Mylow Companion, which use OpenAI's APIs plus Lowe's project knowledge, product catalog context, and availability signals to return guidance, recommendations, and next steps. The same operating model sits alongside Lowe's broader ML estate for pricing, forecasting, and supply-chain decisions.