// Case Study
The world's 2nd busiest container port — 44.66 million TEUs in 2025, 300+ autonomous vehicles, 11 automated berths — reimagined with CogMesh intelligence infrastructure.
// The Challenge
Singapore's port operates at the crossroads of global trade. With 3.22 billion gross tons of vessel arrivals annually, berth allocation across 66 planned berths, yard operations with 300+ AGVs, and supply chain coordination spanning six continents — the scale demands AI-native infrastructure.
// The CogMesh Solution
An active, executable model of the entire port — every vessel, berth, crane, and AGV continuously synchronized. Simulate routing scenarios, predict congestion 48 hours ahead, and optimize berth allocation before a single container moves. Built on Singapore's 2025 Maritime Digital Twin initiative.
Every entity typed and connected: Vessel→Berth→Crane→Container→AGV→Truck→Destination. The CogMesh Semantic Engine maps port operations into a queryable domain model — enabling natural-language queries like "Which berths can handle a 400m vessel arriving Thursday with 12,000 TEU?"
300+ AGVs coordinated by AI fleet management across 11 automated berths. Computer vision identifies containers in under 200ms. Predictive maintenance anticipates crane and AGV failures 72 hours before they occur — targeting zero unplanned downtime.
End-to-end visibility from origin port to hinterland delivery. Just-in-time vessel arrivals — optimized via the MPA-Microsoft AI route planning partnership — reduce turnaround time and fuel consumption. Real-time emissions tracking per vessel, per route.
Port Intelligence Flow
// Architecture
Edge GPUs on cranes and AGVs for real-time vision. Central GPU cluster for EOM simulation and model training.
Port-wide 5G mesh. Low-latency sensor network connecting 10,000+ IoT devices across berths, yards, and vessels.
Real-time inference for vessel routing, anomaly detection, and predictive maintenance. Next-gen Vessel Traffic Management via AI + satellites.
Port ontology mapping vessels, containers, berths, cranes, and equipment. Entity resolution across shipping lines and logistics partners.
Control tower dashboard. Autonomous AGV fleet orchestration. Predictive maintenance console. Emissions monitoring and reporting.
Integration with MPA systems, shipping line APIs, customs, and hinterland logistics. Open data exchange across the maritime supply chain.
// Projected Impact
Projected estimates based on industry benchmarks for AI-driven port optimization.