Case Study: GEODIS achieves trusted AI-ready data products with Astronomer Astro

GEODIS migrates 100+ DAGs to Astro with Astronomer

Geodis, a leading global logistics provider, faced significant challenges in scaling AI and managing its complex, decentralized data ecosystem. Their legacy Cloudera-based orchestration layer was outdated and limited their ability to modernize their stack, while their data product framework lacked the observability needed to ensure data quality and trust for AI models. To address this, they partnered with vendor Astronomer, Inc.

By implementing Astronomer's Astro platform, Geodis successfully migrated over 100 DAGs from Cloudera to Astro. This provided a robust, decoupled orchestration backbone and integrated Astro Observe for dynamic data quality monitoring. The results included the unification of over 300 data sources and the ability to industrialize previously stalled AI use cases, such as a weight fraud detection model that led to measurable revenue recovery. Astronomer's solution provided the critical observability and trust needed to scale their data products and AI initiatives.

Geodis