Case Study: Cando Rail Services achieves streamlined IoT data processing and improved operational visibility with Amazon Web Services

A Amazon Web Services Case Study

Preview of the Cando Rail Services Case Study

Cando Uses AWS to Streamline IoT Data Processing, Help Rail Customers Improve Operational Visibility

Cando Rail Services, a North American rail solutions provider, needed a more reliable way to process IoT sensor data for its Quasar supply chain platform. The company wanted to replace outdated manual railcar tracking, improve real-time visibility, avoid costly system outages, and automatically scale to handle millions of data points across the rail network.

Amazon Web Services helped Cando Rail Services modernize Quasar with serverless technology and automation, enabling faster, more resilient IoT data processing. Using AWS, Cando could deploy applications in days instead of months, process millions of data points daily, and cut operational costs while helping rail customers improve operational visibility and supply chain optimization.


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Cando Rail Services

Corrie Banks

Director


Amazon Web Services

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