--- title: How Ecolab rebuilt retail intelligence on Databricks and... description: Ecolab rebuilt its retail food safety compliance platform by unifying nine siloed data sources into a single governed lakehouse on Databricks, powered by... canonical: https://daily.dev/posts/how-ecolab-rebuilt-retail-intelligence-on-databricks-and-anthropic-claude-nbok3vro3 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude | daily.dev og:description: Ecolab rebuilt its retail food safety compliance platform by unifying nine siloed data sources into a single governed lakehouse on Databricks, powered by... og:url: https://daily.dev/posts/how-ecolab-rebuilt-retail-intelligence-on-databricks-and-anthropic-claude-nbok3vro3 og:image: https://api.daily.dev/og/posts/nBOk3VrO3.png og:image:alt: How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude **[databricks](https://daily.dev/sources/databricks)** · 7 min read · 1 upvotes · 0 comments ## Summary Ecolab rebuilt its retail food safety compliance platform by unifying nine siloed data sources into a single governed lakehouse on Databricks, powered by Anthropic Claude Sonnet and Haiku via Foundation Model APIs. The system uses a multi-agent supervisor pattern where a Coordinator Agent delegates tasks to specialized sub-agents for FDA code retrieval via vector search, SQL compliance queries, and pest IoT telemetry. A dual-layer memory architecture (short-term conversation buffer summarized by Claude Haiku every three turns, long-term per-user semantic profiles maintained by Claude Sonnet) delivers personalized responses. Five Judge LLMs continuously evaluate quality, and MLflow traces every execution path. The result: compliance report compilation dropped from two weeks to under two minutes, FDA food code questions return cited answers in seconds, and the system serves hundreds of North American locations in approximately twelve languages. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [How the FDA Built an AI Platform That 85% of Its Staff Now Use Daily](https://daily.dev/posts/how-the-fda-built-an-ai-platform-that-85-of-its-staff-now-use-daily-ecwmiuo8i) · databricks · 0 upvotes · 0 comments - [How the FDA is building a secure, AI-ready data foundation on Databricks for Government](https://daily.dev/posts/how-the-fda-is-building-a-secure-ai-ready-data-foundation-on-databricks-for-government-ttx4nsvrc) · databricks · 0 upvotes · 0 comments - [Why R&D Data Belongs in the Lakehouse - and Why Agents Need It There](https://daily.dev/posts/why-r-d-data-belongs-in-the-lakehouse---and-why-agents-need-it-there-3wfyqsyfj) · databricks · 1 upvotes · 0 comments - [Data Engineering in the AI Era - Taming Fragmented Agent Trace Pipelines with a Unified Lakehouse](https://daily.dev/posts/data-engineering-in-the-ai-era---taming-fragmented-agent-trace-pipelines-with-a-unified-lakehouse-62xenewdp) · Databend Blog · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag), [#databricks](https://daily.dev/tags/databricks) [View this post on daily.dev](https://daily.dev/posts/how-ecolab-rebuilt-retail-intelligence-on-databricks-and-anthropic-claude-nbok3vro3) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude","url":"https://daily.dev/posts/how-ecolab-rebuilt-retail-intelligence-on-databricks-and-anthropic-claude-nbok3vro3","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-ecolab-rebuilt-retail-intelligence-on-databricks-and-anthropic-claude-nbok3vro3"},"datePublished":"2026-06-11T15:04:40.638Z","dateModified":"2026-06-17T15:48:55.333Z","description":"Ecolab rebuilt its retail food safety compliance platform by unifying nine siloed data sources into a single governed lakehouse on Databricks, powered by...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4ef7ad40ee7411cac7e61ea3fbe3c5a5?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4ef7ad40ee7411cac7e61ea3fbe3c5a5?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"databricks","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"databricks","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/fa7aa720f2db4d1eba826814730482c8","url":"https://daily.dev/sources/databricks"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-ecolab-rebuilt-retail-intelligence-on-databricks-and-anthropic-claude-nbok3vro3","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,rag,databricks","timeRequired":"PT7M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"databricks","item":"https://daily.dev/sources/databricks"},{"@type":"ListItem","position":3,"name":"How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude"}]} ```