AI anticipates demand and allocates resources proactively.
Vehicles, infrastructure, and systems communicate and adapt in real time.
Every decision optimises for cost, carbon, and capacity simultaneously.
Governance, auditability, and privacy are built in by design.
Aggregates and harmonises data from vehicles, sensors, ERP/TMS/WMS, IoT, and customs systems (ICS2-ready).
Provides demand forecasting, ETA prediction, anomaly detection, and multi-agent optimisation.
REST/GraphQL APIs, MQTT/Kafka, and native connectors (SAP TM, Oracle, Geotab, HERE, etc.).
Fleet Command, Control Tower, Driver App, Partner Portal, Smart City Ops.
Zero-trust architecture, GDPR compliance, EU/US/MEA data residency, and audit-ready logging.
															Anticipates volume and capacity shifts with high confidence.
Automates routing, scheduling, and capacity allocation using multi-agent logic.
Continuously improves accuracy with real-time telemetry and historical data.
Identifies and mitigates disruptions before they impact operations.
Voice- and chat-based copilots support dispatchers, drivers, and city operators.
Every model supports explainability, human-in-the-loop controls, audit trails, and rollback — fully aligned with the EU AI Act’s high-risk requirements.
Traffic orchestration, curbside logistics, public transport demand forecasting.
End-to-end visibility, micro-hub optimisation, SLA-driven analytics.
Predictive maintenance, EV orchestration, autonomous dispatch.
Digital twins, slot scheduling, customs-ready data exchange.
Results vary based on data quality, network complexity, and scope. MobilityOS™ delivers tangible value without requiring major infrastructure investments. Based on conservative industry models:
															
															The next decade will redefine how mobility and logistics operate. Fortinexis is investing in:
															No. Fortinexis integrates and orchestrates across existing systems via APIs and connectors.
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