01
Mycelium Ingestion
Module 1 & 2
Ingest manifest data, container weights, destination ports, and hazard classifications.
Use Case 38 · Automotive, Mobility & Logistics
Maritime Container Load & Weight Balance Optimization
Agentic container stowage planning that automatically balances ship weight distribution, hazardous material segregation, and port discharge order.
Customer need & pain point
The problem this replaces.
- Manual stowage planning takes hours per vessel and frequently results in inefficient restow operations at downstream ports.
Step-by-step execution
How the engine executes it.
02
Multi-LLM Routing
Module 1 & 2
Calculate vessel center-of-gravity and stability limits using high-reasoning spatial engines.
03
Agentic AI Action
Module 4
Generate optimal 3D vessel stowage configurations that minimize downstream container re-handling.
04
Agentic AI
Module 4
Transmit certified stowage plans directly to crane operating systems and vessel captains.
Quantifiable ROI & impact
What changes commercially.
- 40% reduction in non-productive container restows
- 12% lower vessel fuel consumption via optimal trim
The “aha” moment
“Stowage planning went from a 6-hour manual puzzle to an optimized 3-minute layout, cutting our fuel burn significantly.”