All use cases
- automotive
- Maintenance & Reliability
- representative
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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