Case Study: Shippeo achieves up to 90% faster insight delivery for multimodal logistics with Snowflake

A Snowflake Case Study

Preview of the Shippeo Case Study

shippeo Provide Essential Multimodal Logistics Insights With Lightning-Fast Speed

Shippeo, a France-based leader in real-time multimodal transportation visibility, processes data from over 200,000 carriers and tracks more than 32 million shipments a year. As customer demand for richer analytics grew, its PostgreSQL-based data warehouse could no longer keep up, causing slower dashboards and degraded user experience across a fast-expanding customer base.

After a successful proof of concept, Shippeo moved its primary data warehouse to Snowflake in three weeks, ingesting diverse sources and powering Tableau dashboards. The result: average dashboard load times fell by 50% (up to 90% for very large datasets), compute can be allocated per workload to boost analyst productivity, and costs are easier to predict—improving customer satisfaction, retention, and scalable growth.


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Shippeo

Tarik Agayr

Product Director for Data


Snowflake

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