Case Study: Trenitalia keeps 2 million passengers running on time and reduces maintenance costs with SAP HANA

How Does Italy's Major Rail Operator Keep 2 Million Passengers Running on Time

Trenitalia, Italy’s primary rail operator serving 2 million passengers daily with a fleet of about 7,000 vehicles, needed to make maintenance faster, more efficient, and less disruptive to service. Facing the challenge of avoiding unexpected breakdowns and unnecessary scheduled work, the company sought a way to move from time- and distance-based checks to dynamic, component-level maintenance that could react in real time to operational stressors.

By deploying the SAP Predictive Maintenance and Service solution on the SAP HANA platform with SAP IQ, Trenitalia ingests millions of sensor signals (about 5,000 per train per second) and ~700 TB of data per year to enable real-time diagnostics and algorithmic forecasting. The dynamic planning system improved asset reliability, reduced required in-memory storage, and lowered maintenance costs by 8–10%, helping keep services punctual and passengers satisfied.

Trenitalia

Danilo Gismondi

CIO