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Applied research 04 · Shipping, ports & logistics

See the exception before the cargo stops.

The supply chain is not a chain. It is a changing network of vessels, terminals, boxes, documents, warehouses, carriers, obligations, and border decisions. AI should make that network legible and help teams intervene while options remain.

Decision domainMarine, terminal, yard, trade, warehouse, and network control
Evidence surfaceAIS, TOS/WMS/TMS, EDI, IoT, customs, documents, contracts
Control boundaryPredict and orchestrate; authorized operational and regulatory roles release

Our point of view

Visibility is not a map. It is time to act.

A coloured dot cannot explain whether a late vessel will create berth conflict, yard congestion, a missed customs window, an empty-container shortage, or a customer production stop. Useful intelligence connects an event to physical state, document state, contractual consequence, and an executable response.

We build a shared logistics ontology, learn patterns in movement and dwell, encode hard capacity and compliance rules, and use agents to coordinate options across systems and parties.

Design principlePredict the disruption at the earliest observable point, then preserve the evidence and constraints behind every recovery option.

These are applied research patterns, not descriptions of completed customer engagements. Public figures in the sources are sector benchmarks and operator-reported outcomes, not Zustis results.

Applied research outputs

Three control loops across the network.

We design for the event, document, and physical-flow layers together—because each can stop the other two.

01

Vessel, berth & yard control

Turn ETA uncertainty into a coordinated terminal response.

This research pattern joins vessel trajectory and arrival confidence to berth plan, crane profile, yard density, gate demand, equipment state, and onward connections.

The decision

Re-sequence berth, cranes, yard allocation, labor, gate slots, or transshipment before congestion propagates?

The evidence

AIS/weather, port call, stow plan, berth/crane schedule, TOS state, yard topology, reefer/hazardous rules, equipment, gate, and rail/truck connections.

System behavior

Updates arrival distributions, forecasts conflict and dwell, simulates feasible plans, and explains impact on moves, connections, safety, and service.

Human boundary

Marine and terminal controllers approve operational plans. The system cannot clear a vessel, release hazardous cargo, or override terminal safety.

02

Trade document intelligence

Resolve the document exception before it becomes physical dwell.

The reference design structures bills of lading, manifests, invoices, packing lists, certificates, declarations, and customer instructions into one cited shipment record.

The decision

Is the shipment complete and consistent for the next filing or release step, and what discrepancy needs intervention?

The evidence

BL, manifest, invoice, packing list, HS code, origin and phytosanitary certificates, permits, party/UBO data, sanctions lists, and customs messages.

System behavior

Extracts multilingual fields, reconciles parties and quantities, checks document/rule consistency, flags risk, and drafts filings with source trace.

Human boundary

Licensed brokers, compliance staff, customs, and other authorities decide classification, filing, inspection, hold, and release.

03

Network disruption twin

Test the response before moving inventory.

This research pattern represents orders, stock, suppliers, lanes, capacity, lead times, facilities, constraints, and customer commitments as a scenario-ready network.

The decision

Reroute, reallocate, expedite, substitute, postpone, or renegotiate when a lane, supplier, facility, or forecast changes?

The evidence

Orders, inventory, BOM, supplier and lane performance, carrier capacity, rates, warehouse limits, weather/geopolitics, demand, service and contract terms.

System behavior

Detects exposure, propagates consequence, generates constrained scenarios, and shows cost, service, working-capital, emissions, and concentration trade-offs.

Human boundary

Planners and commercial owners approve allocation, purchase, routing, customer promise, and financial commitment.

Reference architecture

An event-driven supply-chain brain.

A canonical event and identity layer lets models reason across organizations without pretending every source system agrees.

01 · Ingest

Movement & document events

API, EDI, IoT, AIS, documents, and human updates retain source, timestamp, confidence, and access rights.

02 · Resolve

Logistics knowledge graph

Party, vessel, voyage, booking, box, cargo, document, facility, order, lane, and obligation share identity.

03 · Simulate

Prediction + constraints

ETA, dwell, demand, and risk models combine with capacity, safety, customs, inventory, and contract rules.

04 · Orchestrate

Exception agents

Agents propose response, obtain approvals, update systems, notify parties, and verify closure through events.

The line we do not cross.

  • Release authorityNo autonomous customs filing, cargo release, hazardous-goods acceptance, vessel clearance, or regulatory declaration.
  • Party isolationCommercially sensitive shipper, carrier, port, and customer data remain purpose-bound and permissioned.
  • Physical truthA digital state never overrules scan, seal, inspection, safety, or authorized physical confirmation.
  • Scenario honestyPredictions show range, assumptions, data gaps, and expiry—not false certainty.

Validation before autonomy

Score the avoided surprise, not the demo.

Historical peaks and disruptions reveal whether alerts arrive early enough, reach the right owner, and support an action that was actually feasible.

  1. 01

    Replay

    Back-test port calls, dwell exceptions, document holds, demand misses, and lane disruptions with point-in-time data.

  2. 02

    Degrade

    Test delayed EDI, duplicate identities, missing scans, bad OCR, uncertain ETA, partner outage, and changing capacity.

  3. 03

    Shadow

    Compare lead time, precision, feasible options, and planner acceptance against existing control-tower practice.

  4. 04

    Close the loop

    Release bounded routing and notification steps only when downstream completion can be observed and reversed.

What earns the right to scale.

Actionable lead time
Exceptions are surfaced while capacity, document correction, or alternative routing remains available.
Identity accuracy
Events and documents resolve to the correct shipment, party, container, order, and voyage.
Scenario feasibility
Recommendations respect real capacity, handling, customs, inventory, time, and contract constraints.
Closure integrity
The system verifies that the approved action happened and measures downstream consequence.

Public sector signals

The UAE is already building intelligent trade infrastructure.

  1. DP World AI supply-chain playbook

    Public benchmark context for forecasting, visibility, warehouse, routing, and predictive-maintenance use cases.

  2. DP World on AI and resilient supply chains

    Operator examples spanning terminal systems, automated storage, and operational resilience.

  3. DP World annual reporting

    Primary context for an integrated global network of ports, terminals, logistics, and trade services.

  4. DP World logistics infrastructure investment

    Regional signal for continued scale and complexity in end-to-end trade infrastructure.

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