Case Study: DB Cargo improves real-time fleet visibility and locomotive availability with Splunk

DB Cargo improves locomotive availability and reduces downtime with Splunk

DB Cargo, Europe's largest rail freight operator, faced challenges with unplanned locomotive downtime and unnecessary maintenance due to a lack of real-time fleet data. This impacted customer service and operational costs. To gain visibility into locomotive health and performance, they implemented the Splunk Enterprise platform from vendor Splunk.

Using Splunk's solution, DB Cargo gained a comprehensive, real-time view of its fleet, enabling its teams to analyze sensor data and diagnose issues accurately. This allowed them to reduce locomotive downtime, lower maintenance costs and improve customer service by keeping assets in service longer. Vendor Splunk helped DB Cargo move towards condition-based monitoring and enhance its competitive advantage.

DB Cargo