Predictive Maintenance
Machine learning anti-breakdown for your fleet
Prevent vehicle breakdowns with machine learning. Continuous health monitoring, predictive failure detection, TCO optimization. Reduce immobilizations by 40% and extend vehicle lifespan.
Continuous vehicle health monitoring
SYMPHONI.A connects to your telematics (Geotab, Verizon Connect, Webfleet, Astrata...) and OEM diagnostics (FMS, J1939, OBD-II) to monitor vehicle health continuously: engine performance, fuel consumption, oil pressure, coolant temperature, brake wear, tire pressure, battery voltage, AdBlue level, DPF status. Anomalies are flagged in real time.
- Telematics + OEM diagnostics aggregation
- Engine, brakes, tires, battery, AdBlue, DPF monitoring
- Real-time anomaly detection
- Per-vehicle health dashboard
- Fleet-wide health KPIs
ML-based failure prediction
Machine learning models trained on millions of vehicle-hours predict component failures before they happen. The system flags vehicles likely to fail in the next 7-30 days, with confidence scores. Maintenance can be scheduled proactively, avoiding roadside breakdowns and emergency repairs. Average finding: 70% of predicted failures are confirmed, with 14-day average warning time.
- ML models trained on millions of vehicle-hours
- Failure prediction 7-30 days ahead
- 70% prediction precision, 14-day average warning
- Proactive maintenance scheduling
- Avoids roadside breakdowns and emergency repairs
TCO optimization and reporting
Track Total Cost of Ownership per vehicle: fuel, maintenance, repairs, immobilization cost, depreciation. Identify vehicles with rising TCO (signal for replacement) or outliers (specific issue to investigate). Quarterly reports help with fleet renewal decisions and budget planning. Integration with accounting systems for automated cost allocation.
- TCO tracking per vehicle (fuel + maintenance + immobilization)
- Rising TCO identification (replacement signals)
- Outlier detection (specific issues)
- Quarterly fleet renewal reports
- Accounting integration for cost allocation
Key benefits
Real-time vehicle health monitoring
40% reduction in immobilizations
70% failure prediction precision, 14-day warning
Proactive maintenance scheduling
TCO tracking per vehicle
Quarterly fleet renewal reports
Frequently asked questions about Predictive Maintenance
Which telematics providers are supported?
Geotab, Verizon Connect, Webfleet, Astrata, Quartix, Optifleet, Trimble and 50+ other providers. OEM diagnostics via FMS, J1939, OBD-II for direct vehicle telemetry.
How accurate is the failure prediction?
70% precision on average (70% of predicted failures occur within the predicted window), with 14-day average warning time. Accuracy improves with telematics data quality and fleet size.
Which components are monitored?
Engine, transmission, brakes, tires, battery, AdBlue, DPF (diesel particulate filter), cooling system, oil pressure. Plus configurable custom sensors for specialized vehicles.
Can I integrate with my maintenance system?
Yes. Native connectors with major fleet maintenance systems (Heavyworth, Mecadev, custom CMMS). Predicted failures automatically open work orders.
Does this work for mixed fleets?
Yes. Supports trucks (Volvo, Mercedes, Scania, MAN, DAF, Renault, Iveco), trailers (Krone, Schmitz, Lamberet, Fruehauf), vans (Mercedes Sprinter, VW Crafter, Renault Master), and refrigerated units (ThermoKing, Carrier).
How long does it take to see results?
Initial dashboards are live within 24 hours of telematics connection. ML model accuracy reaches optimal within 90 days of data accumulation (fleet-specific training).
Ready to activate Predictive Maintenance?
30-minute custom demo. See it in action on your operations.
Book a free demo