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Use Case 24 · Automotive, Mobility & Logistics

Port Freight Congestion & Dynamic Route Guidance

Real-time port terminal congestion monitoring and automated drayage truck routing.

Port Terminal Director Freight Operations Lead
Illustration: Port Freight Congestion & Dynamic Route Guidance

Customer need & pain point

The problem this replaces.

  • Drayage trucks waiting in multi-hour queues at port gates, driving up fuel costs and missed dispatch fees.

Step-by-step execution

How the engine executes it.

01

Mycelium Ingestion

Module 1

Ingest camera feeds, gate entry logs, and vessel berth schedules.

02

Multi-LLM Routing

Module 1

Predict gate queue wait times using spatial computer vision models.

03

Agentic AI

Module 4

Push optimized gate arrival time slots directly to fleet dispatcher apps.

04

HITL Agentic AI

Module 4

Automatically issue updated delivery time estimates to end customers.

Quantifiable ROI & impact

What changes commercially.

  • 31% reduction in truck gate wait times
  • 22% lower fleet fuel burn.

The “aha” moment

“Port gate bottlenecks vanished once arrival slots were dynamically throttled based on real-time berth status.”
Operations Director (Container Terminal Operator)