Case Study: DB Cargo UK reduces locomotive downtime and increases fleet availability with Splunk Enterprise

Real-Time Fleet Analytics and Smart Asset Maintenance at DB Cargo

DB Cargo, Europe’s largest rail freight operator, moves hundreds of millions of tons of cargo each year but struggled with an aging, multi-vendor locomotive fleet and no real-time visibility into asset health. Drivers often reported ambiguous failure alerts to a technical helpline that couldn’t see live diagnostics, so engineers frequently recommended precautionary maintenance visits, causing unnecessary downtime and service disruption.

By deploying Splunk Enterprise to ingest telematics, sensor, GPS and legacy system data, DB Cargo created real-time dashboards and rules-based alerts for condition-based maintenance. Engineers and maintenance crews can now diagnose issues remotely, keep locomotives in service longer, reduce workshop visits and maintenance costs, and improve fleet availability and customer experience.

DB Cargo UK

Fabian Stöffler

Vice President Asset Digitization