Fujitsu’s Atamai Freight platform needed to unify fragmented, multi-party supply chain data into a single, trusted view.
Siloed systems, dynamic relationships, and limited real-time visibility constrained collaboration and delayed decision-making.
Entopy deployed an ontology-driven digital twin, structuring data around consignment journeys and linking entities such as consignments, vehicles, ports, and smart seals.
Real-time data ingestion via APIs, combined with targeted capture and segmentation, enabled scalable, secure data sharing across stakeholders.
Entopy’s platform applies intelligent data orchestration and event detection to identify real-time events, such as arrivals, delays, and anomalies.
This enables predictive insight, automated alerts, and faster, more informed decision-making.
Entopy creates a live operational intelligence layer by combining real-time data, targeted predictive models and a continuously evolving world model.
The Entopy Operational Agent detects forming operational risks, understands evolving context and proactively communicates with operators.
The Entopy Strategy Agent enables operators to explore scenarios, test interventions and understand operational impact before decisions are made.
