Crear Agent4 steps
Building a calibrated twin of facilities, labor, carriers, and lane rules.
CALIBRATING
▦ Dock throughput and labor curves⊛ Carrier cut-off and handoff SLA rules⊡ Inventory min/max by distribution node
Validating simulated outcomes against live operations and baseline KPIs.
COMPUTED
⊟ twin accuracy 97.4% versus actual↗ variance bounded across cost and service✓ Baseline digital twin created
Create Real-World Logistics Digital Twins
Turn your network, constraints, and costs into high-fidelity simulations with decision intelligence.
Learn about Digital Twins →One source of truth
Keep operations, finance, and procurement aligned on the same assumptions, runs, and outcomes.
Learn about Run History →
Crear Agent3 steps
Running disruption simulations on your digital twin.
Simulating
⊛ Port congestion scenario — LA/LB +2 days dwell⊛ Carrier rate spike — +8% spot market⊛ DC overflow — ATL volume +15%
AI reasoning engine interrogating cost–resiliency trade-offs.
Reasoning
↗ Rerouting volume via SEA — cost delta +$340K⊡ Alternate carrier coverage — 3 lanes eligible
Optimization model ranked by OTIF impact vs cost exposure.
Output
▦ 2 optimized scenarios ready✓ Recommendation generated
Attention is all you need
Don't just forecast, interrogate outcomes. Run simulations on your digital twin, use our AI reasoning engine to explain disruption risks, and model optimization.
Learn about Simulations →