Prevent Unexpected Fleet Breakdowns
Unexpected breakdowns cost an average of $750 per day of downtime. Learn how Tralogit's AI predictive maintenance anticipates failures.
The Problem
An unexpected breakdown doesn't just cost the repair - it costs vehicle downtime, the cancelled trip, the unhappy customer, and sometimes the tow.
Average cost of an unplanned day of downtime: $750 to $1,500 depending on vehicle type and operation.
Root causes:
• Maintenance based solely on mileage (insufficient for heavy equipment)
• No visibility into real-time engine fault codes
• Maintenance history on paper or spreadsheets, hard to analyze
• Maintenance alerts ignored or received too late
• Spare parts out of stock at the critical moment
The Tralogit Solution
Tralogit combines OBD device data with each vehicle's maintenance history to predict failures before they happen.
Predictive maintenance works on two triggers:
• By mileage - alerts when approaching and exceeding service intervals
• By engine hours - essential for heavy equipment that covers little distance
The system reads engine fault codes (DTC) in real time via OBD2 and J1939, and sends immediate alerts for critical anomalies.
When maintenance is needed, create a work order directly in Tralogit. Parts used are automatically deducted from inventory. Total cost per intervention is calculated automatically.
Result: you shift from reactive to predictive maintenance, reducing unplanned breakdowns by 40% or more.
FAQ
How does AI predictive maintenance work?
The AI analyzes maintenance history, mileage, engine hours, fault codes, and trends for each vehicle to predict when the next failure is likely and recommend preventive action.