A supply chain bill intelligent management method and system
By using structured event package delivery and a lightweight local process simulation engine, the high latency and resource waste problems in existing supply chain invoice management technologies are solved, enabling efficient, low-latency, and flexible process collaboration in the supply chain invoice management system, adapting to the dynamic changes in the supply chain network.
Patent Information
- Application Number
- CN202610548871.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing supply chain invoice management technologies struggle to achieve high concurrency and low latency dynamic configuration in cross-regional, cross-industry, and multi-level link flow scenarios, resulting in high status synchronization latency, response delays, and resource waste. They also lack refined process management and information synchronization mechanisms, making it difficult to adapt to the dynamic changes in the supply chain network.
It adopts structured event packet delivery, a lightweight local process inference engine and configuration anchoring mechanism, and realizes decentralized dynamic process collaboration through a regional event bus cluster. Each node deploys a state-aware agent locally to capture state transitions in real time, and generates process snapshots based on event packets to perform path consistency verification and dynamic renegotiation, supporting efficient collaboration of heterogeneous systems.
It significantly reduces the information synchronization delay between nodes from the second level to the hundreds of millisecond level, improves the process response sensitivity and configuration consistency, and solves the problems of poor process flexibility, slow anomaly recovery and resource adaptation lag in existing technologies, supporting real-time scheduling and intelligent management in complex supply chain finance scenarios.
Smart Images
Figure CN122415216A_ABST