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Intermodal Chassis & Container Asset Tracking Across Global Corridors
A global maritime shipping line managing 45,000 intermodal chassis and shipping containers moving between ports, rail yards, and customer warehouses.
Runs onVahana- asset yard search time reduced
- 4 hoursasset yard search time reduced
- increased fleet chassis utilization efficiency
- 24%increased fleet chassis utilization efficiency
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
- Unpowered chassis assets were frequently mislaid in vast port storage yards, taking days of manual search to locate.
- Customers suffered detention fees due to inaccurate asset location tracking data.
- Chassis maintenance issues (tire pressure loss, hub temperature spikes) caused highway breakdowns during drayage transport.
The run · 5 operational steps
Click any step to inspect telemetry signals, model reasoning, and governance gates.
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Ultra-Low Power IoT Sensor Ingestion
Vahana ingests low-power solar/battery IoT telemetry (GPS, BLE, tire pressure, hub temperature) across 45,000 assets.
Input Signal:
Real-time operational telemetry & queue
Reasoning Pattern:
MCP grounded vector inference
Governance Gate:
Policy constrained with audit write-back
Verified Business Outcomes
- Asset yard search time reduced from 4 hours to under 30 seconds per chassis.
- Increased fleet chassis utilization efficiency by 24%, reducing capital expenditure for new assets.
- 70% reduction in drayage roadside breakdowns through automated port gate safety scans.
Capabilities this relies on
- signal ingestion
- system connectors
- forecasting
- anomaly detection
- in boundary deployment
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