VectorGrid Case Study.

Data foundation (live, governed, audit‑ready)

• Operations:
  AIS (vessel), ADS‑B (aircraft), ELD/telematics (road), terminal gate/yard IoT, GTFS‑like rail timetables, carrier schedules, GHG intensity factors.
• Trade & compliance:
  EDI (EDIFACT/X12), HS codes, Incoterms, AEO status, sanctions/dual‑use lists, tariff changes, port health advisories, phytosanitary holds.
• Environment:
  Mesoscale forecasts (ECMWF/NOAA), wave/current models, flood risk, heat stress for reefer equipment.
• Commercial:
  Spot/contract rate moves, bunker prices, air freight surcharges, currency swings, demand nowcasts (retail sell‑through).

Core Models

• Graph Neural Network (GNN)
  over a time‑expanded logistics graph (nodes = ports, yards, ICDs, border posts; edges = scheduled services + ad‑hoc legs).
• Constrained RL / stochastic MPC
  for re‑planning under uncertainty (SLAs, driver hours, cabotage, DG rules, equipment balance, cold‑chain).
• Causal uplift models
  to decide when to pre‑file customs, split consignments, or swap modes.
• Uncertainty quantification
  (deep ensembles) drives risk‑adjusted ETAs and capacity reservations.
• Counterfactual explainability
  per‑decision SHAP + counterfactual “what‑ifs” for human reviewers.

System Design

• Model Zoo integration:
  • TerraCast → high‑resolution weather & disruption priors.
  • Aegis → checks against critical‑infrastructure advisories & sanctioned entities.
  • Kinetix/AtlasCore → yard/warehouse task orchestration for load build, cross‑dock, and shuttle.
  • ShadowIntel → open‑source/discreet advisories on strikes, border protests, airspace NOTAMs.
• Human‑in‑the‑loop → network control tower approves high‑impact moves (>5% ETA change, mode switch, customs strategy flip).
• APIs: drop‑in for SAP TM, Blue Yonder, Oracle OTM, project44, FourKites.
• Security & compliance: data minimisation, differential privacy on shipment‑level features; SOC 2 Type II, ISO 27001 aligned. No customer PII required.

Deployment

• Roll‑out:
  edge collectors at ports/depots (Docker), regionally redundant inference (EU‑West, AP‑Southeast), 99.95% SLO.
• Integration time:
  6–10 weeks typical (data contracts + pilot lanes), with mirror‑mode shadow testing before go‑live.
• Governance:
  Dr Abigail Shaw’s Assurance team ran red‑teaming (adversarial inputs, sanction‑evasion edge cases) and bias checks (no systematic diversion favouring one carrier/nation absent objective risk).

2025

Platform moves to select‑partner roll‑out across energy and health, supported by independent assurance and red‑team coverage.

2024

Decision engine hardened with policy‑constrained planning and full audit trails; restricted trials commence with critical‑infrastructure partners.

2023

Milo and Kai complete an extended closed‑box communication study; ShadowIntel undergoes evaluation in live training and operational scenarios.