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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.

Runs onVahana
reduction in unplanned roadside breakdowns
38%reduction in unplanned roadside breakdowns
annual fleet maintenance expenses optimized
22%annual fleet maintenance expenses optimized

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • Unplanned roadside vehicle breakdowns cost over $2,500 per incident in towing, cargo transfer, and missed SLA delivery penalties.
  • Standard periodic servicing (every 15,000 miles) failed to catch sudden turbocharger seal failures, transmission overheating, or brake pad degradation on severe routes.
  • Telematics data from CAN bus systems was overwhelming, producing millions of raw fault codes daily without actionable priority.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

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.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • 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.

Capabilities this relies on

  • signal ingestion
  • system connectors
  • forecasting
  • anomaly detection
  • in boundary deployment

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