Title
Lojas Renner Powers Retail AI Agents
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Company
Lojas Renner
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Lojas Renner CUSTOMER STORY Delighting millions of customers with faster, smarter service Au…
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.
…thousands of legal documents, including bulky Collective Bargaining Agreements, the Labor Relations Agent supports over 430 users and responds with legal citations. This task previously required extensive time from consultants and specialists.…
Problem
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.
…eering and BI at Lojas Renner. “It was about how scattered our information was, locked in PDFs, Word docs and different systems, with no way to unify or query it efficiently. That created silos, slowed us down and diverted time from frontline customer s…
Implementation approach
Central to their strategy was the creation of an AI agent factory, a reusable, flexible framework that enables rapid design, development and deployment of domain-specific AI agents, powering multiple AI agents across HR, legal, customer support and the executive team. Through MLflow 3.0 and LangGraph, the team monitored every step of the machine learning lifecycle, incorporating LLM-as-a-Judge methodologies that improved output trustworthiness and reduced hallucinations.
…the Databricks Data + AI Platform to unify their entire data and AI lifecycle. Central to their strategy was the creation of an AI agent factory, a reusable, flexible framework that enables rapid design, development and deployment of domain-specific AI age…
Industry
Retail
…chieving our mission to delight everyone,” said Jacson. Share this post Details Industry : Retail and Consumer Goods Use Case : Artificial Intelligence , Data Warehousing , Governance and Security…
Technology
Delta Lake, Unity Catalog, Agent Bricks, MLflow, AI Search, Model Serving
…played a key role in transitioning the AI agents from prototype to production. Through MLflow 3.0 and LangGraph, the team was able to monitor every step of the machine learning lifecycle, from data wrangling and training to deployment and evaluation, incorporating L…
Business functions
Human Resources, Legal & Compliance
…interactions across voice, chat and WhatsApp without needing SQL expertise; and a Labor Relations Agent that converts legal text and complex Collective Bargaining Agreements into instantly accessible guidance. Achieving this vision would require a unified data and AI platform to integrat…
AI capabilities
Agentic AI, Generative AI, Conversational AI
…nable insights that elevate the shopper journey; a Strategic Insights Hub where analysts can use natural language to uncover insights from customer interactions across voice, chat and WhatsApp without needing SQL expertise; and a Labor Relations Agent that converts legal text and complex Collective Ba…
Deployment options
cloud
…Intelligence , Data Warehousing , Governance and Security , Data + AI Platform Cloud : Azure Product : Agent Bricks , Delta Lake , Unity Catalog Ready to get started? Try D…
Country
Brazil
…make faster, data-driven decisions. From fragmented silos to data intelligence Lojas Renner is Brazil’s largest fashion retailer, employing over 20,000 people across hundreds of sto…
Capture details
- Captured
- 04 Sept 2026, 06:03 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- 9075b732e12cdafecf131b1f4c6564bb37b74926b42c641bc42ef5eb3d6b2c9f