Multi-subject logistics integrated management platform supporting dynamic resource scheduling

By acquiring and analyzing basic and transaction data from the logistics platform, the link type and candidate entity set of orders are determined, and scheduling values ​​are calculated. This solves the problems of resource rigidity and order fragmentation in multi-entity collaborative scheduling, and achieves efficient matching and full-process control of logistics transactions.

CN122089183APending Publication Date: 2026-05-26BEIJING XINSHENG CHENGJI SUPPLY CHAIN SERVICE CO LTD
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Patent Information

Application Number
CN202610192276.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing logistics management systems suffer from resource rigidity, order fragmentation, and blind matching of entities in multi-entity collaborative scheduling, making it difficult to adapt to the dynamic needs of complex logistics scenarios and resulting in low resource utilization efficiency.

Method used

By acquiring platform basic data, transaction data, and link data, the link type label, order node sequence, and candidate subject set of transaction orders are determined. The scheduling value is calculated to achieve intelligent matching and dynamic optimization of multi-subject resources, thereby improving link integration efficiency and resource utilization efficiency.

Benefits of technology

It enables intelligent matching and dynamic optimization of resources from multiple entities, improving the efficiency of logistics transaction chain integration, the accuracy of entity matching, and the efficiency of resource utilization, and strengthening the platform's adaptability to complex logistics scenarios and its full-process control capabilities.

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Abstract

The invention relates to the technical field of logistics management, and particularly discloses a multi-subject logistics integrated management platform supporting dynamic resource scheduling, and the method comprises an obtaining module which obtains the platform basic data, platform transaction data and transaction link data of the platform; the determination module is used for determining a link type label, an order node sequence and a to-be-matched subject set of each transaction order in the platform transaction data, and a candidate subject set of each subject label in the to-be-matched subject set; the link module is used for determining link transaction data of a plurality of link transactions; the calculation module is used for calculating a scheduling value of each candidate matching main body set of each link transaction; and the management module realizes execution management of all transaction orders in the platform transaction data. According to the invention, intelligent matching and dynamic optimization of multi-subject resources can be realized, the link integration efficiency, subject matching accuracy and resource utilization efficiency of logistics transactions are improved, and the adaptation capability and the whole-process management and control capability of a platform to complex logistics scenes are enhanced.
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