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Wayam AI
AutomotiveMaintenance & ReliabilityRepresentative scenario

Fleet-Wide Fault Diagnostics from Live Vehicle Telemetry

A national freight logistics provider operating 3,500 heavy-duty commercial tractors and trailers across long-haul highway routes.

Run on Vahana · Asset Reliability & Fleet

A dispersed fleet reporting continuously to one reading point

The challenge

    01

    Unplanned roadside vehicle breakdowns cost over $2,500 per incident in towing, cargo transfer, and missed SLA delivery penalties.

    02

    Standard periodic servicing (every 15,000 miles) failed to catch sudden turbocharger seal failures, transmission overheating, or brake pad degradation on severe routes.

    03

    Telematics data from CAN bus systems was overwhelming, producing millions of raw fault codes daily without actionable priority.

How Vahana solves it

    01

    High-Throughput CAN Bus Ingestion

    Vahana ingests real-time CAN bus telemetry, OBD-II diagnostic fault codes (DTCs), and engine sensor parameters across 3,500 vehicles simultaneously.

    02

    Predictive Component Health Scoring

    Applies machine learning models to detect subtle multi-parameter degradation signals (e.g., correlates oil pressure micro-drops with turbocharger vibration).

    03

    Remaining Useful Life (RUL) Calculation

    Estimates RUL percentages for engine, transmission, and braking components on every active vehicle.

    04

    Automated Workshop Scheduling

    Triggers proactive maintenance work orders and routes vehicles to nearby fleet workshops before breakdown occurs.

    05

    Fleet Commander Risk Cockpit

    Ranks fleet assets dynamically by breakdown risk rather than mileage.

The outcome

reduction in unplanned roadside breakdowns
0%reduction in unplanned roadside breakdowns
annual fleet maintenance expenses optimized
0%annual fleet maintenance expenses optimized
  • 38% reduction in unplanned roadside breakdowns across the 3,500-vehicle fleet.

  • Annual fleet maintenance expenses optimized by 22% by eliminating unnecessary servicing on healthy assets.

  • Zero SLA late-delivery penalty charges incurred due to mechanical failure.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

Bring us the version of this that you actually have.

Every engagement is fixed-scope and outcome-guaranteed. The scoping conversation starts with your systems, not with a template.