Express order abnormity early warning management method and device, equipment and storage medium

By obtaining and analyzing express order data and environmental data in real time, establishing an early warning model, solving the problem of timely detection of abnormal express orders and low management efficiency, achieving rapid early warning and processing, and improving customer satisfaction and corporate competitiveness.

CN119204888APending Publication Date: 2024-12-27SHANGHAI YUNDA HIGH TECH CO LTD
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Patent Information

Application Number
CN202411363023.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-27
Publication Date
2024-12-27

AI Technical Summary

Technical Problem

The existing technology is difficult to detect and resolve abnormal situations in a timely manner during express order processing and transportation, resulting in delays, loss, damage and other problems, increasing the workload of manual monitoring, reducing management efficiency and customer satisfaction, and affecting the competitiveness of express companies. .

Method used

By obtaining express order data in real time, collecting environmental data related to transportation routes, determining key indicators of order abnormalities, establishing early warning models, analyzing weather conditions and traffic flow information, generating early warning analysis results, and uploading processing measures information to the blockchain for Iterative optimization to improve the timeliness of discovery and analysis accuracy of abnormal situations.

Benefits of technology

It significantly improves the timely detection of abnormal situations in express orders, reduces the workload of manual monitoring, improves management efficiency and customer satisfaction, enhances the competitiveness of express delivery companies, and improves the accuracy of abnormal situation analysis through iterative optimization.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of information processing, in particular to an express order abnormity early warning management method, device and equipment and a storage medium, and the method comprises the steps: obtaining express order data in real time, collecting environment data related to transportation route information, determining an order abnormity key index, building an order abnormity early warning model according to the order abnormity key index, and carrying out the early warning of the abnormity of an express order. The weather condition information and the traffic flow information are input into the order abnormity early warning model to be analyzed, an early warning analysis result is obtained, abnormal conditions are recognized, and related persons in charge are notified in real time, so that the timeliness of finding the abnormal conditions of the express orders is remarkably improved, early warning can be performed when problems just occur, loss caused by the abnormal conditions is reduced, and the service life of the express orders is prolonged. According to the method, the workload of manual monitoring is reduced, the management efficiency is improved, the customer satisfaction is improved, the competitiveness of express enterprises is enhanced, iterative optimization is carried out on the order abnormity early warning model according to the processing measure information, and the accuracy of abnormal condition analysis is improved.
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Citation Information

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