A multi-dimensional data-based supply chain anomaly intelligent identification method and system
By acquiring timestamps of order and logistics information, analyzing delay duration and abnormal inventory allocation characteristics, and combining cross-system interface fault logs, the root causes of supply chain anomalies can be identified. This solves the problem of low accuracy in existing technologies and enables more efficient anomaly localization and system optimization.
Patent Information
- Application Number
- CN202610857039.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately identify the root causes of supply chain anomalies when processing multi-source heterogeneous data, resulting in low accuracy in anomaly localization.
By obtaining timestamps from the order management system and logistics information, we can analyze the delay duration, identify abnormal inventory allocation characteristics, combine cross-system interface fault logs, determine the conflict points of status fields, analyze the degree of diffusion of adjustment operation information, and finally identify the cause of the anomaly.
It improves the accuracy of supply chain anomaly identification by deeply analyzing cross-system data to accurately pinpoint the root cause of anomalies, thereby enhancing the accuracy of order processing and the efficiency of system optimization.
Smart Images
Figure CN122414993A_ABST