Connector mesh
Ingest MQTT streams, HTTPS polling adapters, FTP legacy dumps; enrich with vessel manifest cross-checks where intermodal touches ocean legs.
Use Case — Fleet & Mobility Operations
Fleet Telematics & AI Operations Platform
A diversified logistics conglomerate blends owned assets with owner-operators. Leadership wants predictive maintenance credibility, insurer-grade safety scoring, real-time ETA promises to shippers, and transparent settlement without spreadsheet tribalism. Fragments of telematics from mixed OEM portals are insufficient—this blueprint defines the unified event spine and AI overlays.
Multi-source ingestionAnomaly + optimisation AICompliance workflowPayments & escrowIncident replayOpen APIs
Architecture snapshot
Gold trip graph
Dedupe geofencing, idle classification with temperature sensitivity for reefers; attach sensor readings cold chain SLA.
Modelling tiers
Unsupervised drift on CAN signals, supervised ETA blend (traffic + dwell risk), optimisation under HOS solver constraints—not naive shortest path.
Operational UX
Analyst console with explainable uplift drivers, escalation to supervisors with snippet replay for disputes.
Guardrails mirroring regulated AI motifs
Even logistics models warrant governance for fairness (route assignment parity), contested discipline events, catastrophic mis-routing avoidance. Borrow patterns from our production AI guardrail playbook: offline regression suite on historical disruptions (hurricane lanes, port strikes), anomaly alerts when model divergence spikes.
Security & privacy
Fleet data can reveal military supply patterns or executive travel—RBAC segmented by subcontractor tenancy, KMS rotation, anomaly detection on admin queries, ransomware-resilient edge caches.