Case Study: a national home improvement retailer strengthens enterprise GenAI trust and visibility with The Intersect Group

National Home Improvement Retailer improves model trust and cuts data discovery time with The Intersect Group

A national home improvement retailer faced the challenge of scaling its enterprise machine learning and GenAI capabilities. The organization struggled with large volumes of fragmented data and multiple production models, which made it difficult to reliably operationalize AI-driven insights for decision-making. The Intersect Group partnered with the client to address this need.

The Intersect Group implemented a solution that enhanced the retailer's governed feature store and improved model observability. This provided secure self-service analytics capabilities, which increased trust in AI-generated insights and accelerated enterprise adoption. The results included improved trust in AI models, reduced time required for data discovery, increased visibility into model performance, and continued advancement toward scalable GenAI adoption.