AI Technology
Predictive Maintenance Intelligence
AI-powered maintenance forecasting using mileage, engine hours, telematics diagnostics, and OBD data to predict maintenance needs for vehicles and equipment — eliminating expensive unplanned breakdowns.
How it works
Predictive Maintenance combines OBD diagnostic codes, mileage milestones, usage intensity, and historical service records to generate a proactive maintenance schedule.
Step 1
OBD-II Data Capture
Our compatible OBD-II connector captures 200+ diagnostic parameters including engine fault codes, coolant temperature, oil life, tyre pressure (TPMS), and transmission status.
Step 2
Usage Intensity Modelling
AI adjusts standard OEM service intervals based on actual driving conditions — a vehicle on the Sagamu-Benin corridor under load requires more frequent servicing than one on Abuja urban roads.
Step 3
Maintenance Scheduling
Predicted maintenance events are automatically populated into a maintenance calendar with vehicle availability taken into account — minimising operational disruption.
Data inputs
- OBD-II diagnostic codes and parameters
- Mileage and engine hours
- Load and terrain data
- Historical service records
- OEM service interval specifications
Outputs
Maintenance Calendar
Fleet-wide maintenance schedule with vehicle availability
Fault Code Alerts
Instant notification for new OBD fault codes with plain-English explanation
Service Cost Forecast
Estimated 90-day maintenance cost projection per vehicle
Work Order Integration
Direct work order creation in connected workshop management systems
Example insight
FLEET-KANO-052: Engine fault code P0171 (lean fuel mixture). Likely cause: clogged fuel filter. Estimated repair cost: ₦18,000. Schedule service before next Kano-Lagos run.
See Predictive Maintenance Intelligence on your fleet
Talk to our security architects about vehicles, fleets, churches, schools, and enterprise assets.