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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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1

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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