{"slug":"lojas-renner-powers-retail-ai-agents","url":"https://findausecase.com/use-cases/lojas-renner-powers-retail-ai-agents","title":"Lojas Renner Powers Retail AI Agents","description":"Lojas Renner, Brazil's largest fashion retailer with over 20,000 employees, used the Databricks Data + AI Platform to build an AI agent factory. Using Delta Lake, Unity Catalog and Agent Bricks, it deployed an Internal Support Agent that automates HR and operational questions, a Labor Relations Agent serving over 430 users, an Executive Insights Agent, and Voice of the Customer Analytics, reducing response times, boosting agent retention and automating handling of most internal support calls.","company":"Lojas Renner","industry":"Retail","country":"Brazil","aiCapabilities":["Agentic AI","Generative AI","Conversational AI"],"businessFunctions":["Human Resources","Legal & Compliance"],"technology":["Delta Lake","Unity Catalog","Agent Bricks","MLflow","AI Search","Model Serving"],"deployment":"Public Cloud","problemStatement":"Lojas Renner struggled with siloed data and fragmented systems that slowed innovation and made it difficult to scale their AI initiatives. Information was locked in PDFs, Word docs and different systems, with no way to unify or query it efficiently, creating silos that slowed teams down and diverted time from frontline customer service.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/lojas-renner","dates":{"publishedAt":"2026-09-05T09:05:25.860Z","publishedAtSource":"pipeline","updatedAt":"2026-09-05T09:05:25.860Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/lojas-renner-powers-retail-ai-agents. Bulk republication requires permission."}