Every load, dock, and lane on one live model. When something breaks — a refused parcel, a double-booked door, a slipping vessel — the network reclassifies, re-routes, re-sequences, pulls surge labor, and files the claim, then proves every disposition on an audit-anchored log. It heals instead of escalating.
94.2%
OTIF
86%
Exceptions auto-resolved
512 u/hr
Throughput
88%
Dock utilization
−19%
Cost per exception
98.5%
Shipment visibility
Each pillar is a live autonomous loop that resolves the exception end-to-end.
Reclassify, re-route, re-sequence, and close the exception end-to-end before it becomes a missed SLA.
Live dock sequencing with double-booking recovery — zero-dwell trailers under SOP.
AMR fleets and surge labor rebalanced against a guaranteed throughput rate.
Claim bundles auto-assembled with photo evidence, carrier debits raised, closed in hours.
ETAs re-optimized on disruption; customer share links updated automatically.
Autonomous trucking, humanoid picking, and drone last-mile graduate into live packs as demand surfaces.
The agents don't just alert. They decide the disposition and draft the artifact. You approve.
Resolve a live freight exception end-to-end.
Input facts
{
"exception_type": "Refused delivery — receiver over-capacity",
"load": "Load 7741",
"node": "Last-mile Zone C",
"detail": "3 pallets refused, receiver dock full until Thu",
"sla": "OTIF at risk, must deliver within 48h"
}Agent output
Pick a move and hit Generate to watch the agent draft it from the facts.
Adopt one phase or the whole network. Each phase is an installable workflow pack.
The next wave of physical autonomy surfaces here as demand signals — and graduates into live packs through the Capability Gap Radar.
Driverless hub-to-hub freight collapses linehaul cost and driver scarcity — but needs load-matching, yard hand-off, and exception fallback orchestration.
General-purpose picking robots and AMR swarms need real-time task allocation against a guaranteed throughput rate.
Delivery drones and sidewalk bots demand dynamic routing, airspace/curb deconfliction, and proof-of-delivery reconciliation.
Automated cranes, straddle carriers, and gate OCR turn the port into a coordination problem tied to inland lanes and inventory.
Standardized, shared, interconnected logistics assets route freight like packets — a network-of-networks coordination substrate.
A live twin of the whole network simulates disruptions and pre-positions capacity before the exception lands.