Model Serving

9 use cases using this technology

9published use cases

5industries

2countries on record

Agentic AI

top AI capability

Evidence mix: High 9 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

9 use cases

RetailRetrieval-Augmented GenerationLarge Language ModelsConversational AIGenerative AI

adidas turns customer reviews into insight at scale with GenAI

adidas built a RAG chatbot on the Databricks Data + AI Platform using AI Search, Model Serving, Unity Catalog and MLflow to analyze over 2 million customer product reviews with LLMs including Claude Haiku, cutting response latency 60%, reducing compute costs over 90%, and improving analyst efficiency 30-40%.

adidas· GermanyDatabricks AI Search · Model Serving · Unity Catalog +5

RetailRecommendation & Personalization

Ibotta Boosts Rewards With Unified AI

Ibotta consolidated complex, expensive tooling for its digital rewards platform onto the Databricks Data + AI Platform. Teams use Databricks AI Search to surface more relevant offers to shoppers, driving higher engagement while cutting latency, and rely on AI/BI, Lakeflow Jobs, a feature store, and Model Serving to democratize advanced analytics across the organization. Unity Catalog secures multi-partner data, letting engineers and analysts build trusted AI-powered experiences and deliver cashback rewards.

IbottaAI Search · AI/BI · Lakeflow Jobs +2

RetailAgentic AIGenerative AIConversational AI

Lojas Renner Powers Retail AI Agents

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.

Lojas Renner· BrazilDelta Lake · Unity Catalog · Agent Bricks +3

Technology & SoftwareGenerative AIAgentic AIComputer Vision

Cutting Onboarding From 28 Days to Hours With GenAI

Mirakl, an eCommerce software platform supporting over 100,000 merchants, used the Databricks Data + AI Platform to build Catalog Transformer, a GenAI solution that automates vendor catalog onboarding. Using Delta Lake, Unity Catalog, MLflow, Lakeflow Jobs and Model Serving running GPT, Llama, Mistral and CLIP models, Mirakl cut supplier catalog onboarding from an average of 28 days to under 24 hours (a 91% reduction) with roughly 50% fewer categorization errors, and extended the platform to Mirakl Nexus for agentic commerce.

MiraklDelta Lake · Unity Catalog · MLflow +3

Media & EntertainmentAgentic AI

Intent HQ Powers Personalization With AI

Intent HQ built IntentOne, an agentic framework on the Databricks Data + AI Platform, to automate marketing campaign optimization, testing and real-time delivery without requiring technical expertise. Lakebase serves as the operating system letting agents share insights and reason across customer data, with Model Serving, Unity Catalog and built-in compliance providing enterprise-grade privacy for sensitive data. The platform lets marketers launch thousands of targeted campaigns in seconds rather than weeks.

Intent HQLakebase · Model Serving · Unity Catalog

Technology & SoftwareGenerative AI

Protect Crypto Assets with Governed AI

Elliptic, a blockchain analytics and digital asset compliance company, built a copilot on Databricks Agent Bricks to reduce compliance analyst workload by describing wallet activity, highlighting exposure paths, and producing neutral, report-ready risk narratives for financial institutions, crypto businesses and government agencies. MLflow tracing captures prompts, intermediate steps and final narratives for every interaction, and automated evaluation pipelines score responses for correctness, relevance and safety using LLMs as judges. Domain-specific safety guidelines distinguish between describing financial-crime typologies and inadvertently mentioning harmful activity, while custom safety scorers distinguish between explaining money-laundering patterns and promoting harmful activities. Elliptic reports compliance teams resolving high-risk screenings up to 2x faster and 40% less time needed to complete a Suspicious Activity Report.

EllipticAgent Bricks · MLflow · Databricks Foundational Models API +1

Travel & HospitalityNatural Language Processing

Eurowings Delivers Real-Time Travel Insights with Databricks

Eurowings, a Lufthansa Group subsidiary, migrated to a unified data platform called Minerva, built on Databricks with a medallion architecture, to replace siloed data systems. It implemented semantic search on eurowings.com using Databricks AI Search and Model Serving, replacing keyword-based search. The change delivered a 109% lift in search relevance, improved recall from 50% to over 75%, and cut search latency from six seconds to under two seconds. MLflow is used to manage the model lifecycle, with Model Serving acting as a single endpoint for testing different embedding models.

EurowingsDatabricks Vector Search · Model Serving · MLflow

Technology & SoftwareRetrieval-Augmented GenerationAI Model Development & MLOps

Zapier Powers Real-Time Customer Experiences with Databricks

Zapier unified its data on the Databricks Platform to enable self-serve, AI-powered analytics across product, marketing, sales and support. Using the Databricks MCP connector built on Unity Catalog, AI agents get governed real-time access to Zapier's data; Vector Search handles over 600k requests per day for semantic search and RAG-based knowledge retrieval; MLflow and Model Serving operationalize ML workflows. Dashboard creation time dropped from 2-3 days to a few hours, and the share of data queries executed via AI-assisted workflows grew from 0% to roughly 75% within 6-9 months.

ZapierDatabricks Platform · Databricks MCP connector · Unity Catalog +3

ManufacturingPredictive AnalyticsMachine LearningAgentic AI

TK Elevator: Moving Beyond with Data + AI Driven Service Intelligence

TK Elevator (TKE), one of the world's largest providers of elevators, escalators and vertical transportation systems, adopted the Databricks Platform to unify and process more than 500 million IoT telemetry events daily from connected elevators across 30+ countries, moving from reactive to predictive maintenance. TKE's MAX platform generates predictive insights that feed actionable guidance to field technicians via its Digital Operations Center (DOC), which generates 30,000-40,000 tickets annually and has reduced technician troubleshooting time on call-backs and unplanned shutdowns by up to 20%. The platform scaled from 3 to over 40 markets (10x expansion), cut data pipeline delivery from months to weeks, and reduced data sharing time with internal/external consumers from three months to three days (90% reduction). TKE uses Delta Lake, Delta Sharing, Lakeflow, Unity Catalog, Databricks Assistant, MLflow, AI Gateway, Vector Search and Model Serving, and is exploring agentic AI to combine technical, service and commercial context in real time.

TK ElevatorDelta Lake · Delta Sharing · Lakeflow +6