Predictive models and autonomous agents continuously simulate your network, flag disruptions before they hit, and act on routine decisions so planners can focus on exceptions.
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Digital Twin
Live virtual replica of lanes, hubs and assets used to simulate and stress-test the network.
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AI supply chain orchestration
Cross-functional optimization of routing, capacity and inventory decisions in one model.
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Predictive ETA
ML-based ETAs using traffic, weather, historical dwell and carrier performance.
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Disruption prediction
Early-warning signals for weather, port congestion, and capacity shocks, ranked by impact.
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AI copilots for planners & dispatchers
Conversational assistant that answers operational questions and drafts recommended actions.
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Autonomous logistics agents
Agents that re-book, re-route and notify stakeholders automatically within guardrails you set.
π³ Port Congestion Agent
Running
Monitoring Rotterdam & Antwerp berth queues, auto-flagged 2 at-risk shipments in the last hour.
π Re-routing Agent
Running
Re-routed SH-2308 around a weather cell, saving an estimated 6 hours of delay.
π¨ Stakeholder Notify Agent
Running
Sent proactive delay notices to 214 customers in the last 24 hours.
π Capacity Booking Agent
Idle
Standing by β activates automatically when a lane risk score exceeds threshold.