Predictive Maintenance for Logistics Fleet

Overview

Problem

Breakdowns disrupted routes and caused expensive emergency repairs.

Solution

• Ingested telematics, sensor, and maintenance-history data
• Trained failure prediction models by component family
• Built dispatch dashboards for maintenance windows and part readiness

Outcome

• 31% reduction in unplanned downtime
• 18% lower emergency repair costs
• 12% improvement in on-time delivery

“We shifted from reactive fixes to proactive scheduling with measurable savings.”