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How Rivian drives trusted, AI-powered decisions at the speed of thought with Databricks
Romit Jadhwani, Saritha Suresh, Miranda Luna, Julia Powell
- Source
- Databricks
- Published
- Added to Yomu
Summary
Rivian is building electric vehicles and services that require fast, trusted decisions across manufacturing, supply chain, finance, service and operational planning, while business users need reliable metrics and insights. Using Databricks AI/BI, Genie, Unity Catalog metric views, Databricks Apps and AI-assisted engineering, the company is consolidating dashboards, semantic definitions, permissions, sensitive data and AI-powered workflows on one governed foundation. Rivian migrated a massive multi-domain dashboard base in less than six months, is standardizing more than 50 metrics, and worked with Databricks as a design partner on roughly 58 product features. The resulting self-service analytics and operational applications cut supply-chain monitoring time by 60 to 70%, reduce inventory investigations from over 30 minutes to under two, predict stock-out risk more than four days ahead, and reduce some ingestion setup time by more than 60%, supporting AI-powered decisions without competing versions of the truth.
Context
Rivian needs fast, trusted decision-making across manufacturing, commercial touchpoints, service, finance, people, supply chain and operational planning. Leaders need timely insights, while analysts, business users and technical teams need well-defined, governed data products without duplicated logic or centralized analytics bottlenecks.
Approach / What changed
Rivian is consolidating dashboards, semantic definitions, permissions, sensitive data, AI/ML applications and workflows on Databricks. It uses AI/BI, Genie, Unity Catalog metric views, Databricks Apps, certified metrics and AI-assisted engineering to support self-service analytics, governed data products and operational decision-making.
Takeaways
- Rivian migrated a massive, multi-domain dashboard base to Databricks AI/BI in less than six months and helped shape roughly 58 new AI/BI product features as a design partner.
- Unity Catalog metric views provide certified definitions, transparent logic, lineage and inherited permissions; Rivian aims to standardize more than 50 company scorecard metrics.
- A unified supply-chain dashboard reduced monitoring time by 60 to 70%, while parallel queries cut inventory discrepancy investigations from more than 30 minutes to under two.