Case Study: Autofleet achieves rapid, scalable mobility operations with Looker

A Google Cloud Platform Case Study

Preview of the Autofleet Case Study

Autofleet Driving fleet and mobility operators towards a sustainable future with Google Cloud

Autofleet, a Tel Aviv-based mobility platform for fleets and operators, needed a secure, reliable, and scalable way to support its fleet planning, live operations, and ride services as customer traffic could surge from thousands to millions of rides almost overnight. To meet those demands, Autofleet worked with Looker as part of its Google Cloud stack, alongside tools like BigQuery, Dataflow, and Google Kubernetes Engine.

Looker helped Autofleet streamline data analysis and reporting within a cloud-native environment that scaled without extra configuration, making it easier to move from proof of concept to production. The result was faster deployment, simpler integration across systems, and the ability to process and monitor massive data volumes while supporting global growth; Autofleet also reported that scaling BigQuery from tens of thousands of events to billions required basically no intervention.


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Autofleet

Dor Shay

CTO, and Co-Founder


Google Cloud Platform

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