A multi-entity logistics integrated management platform that supports 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

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING XINSHENG CHENGJI SUPPLY CHAIN SERVICE CO LTD
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

This invention relates to the field of logistics management technology, and specifically discloses a multi-entity logistics integrated management platform supporting dynamic resource scheduling. The method includes: an acquisition module for acquiring platform basic data, platform transaction data, and transaction link data; a determination module for determining the link type label, order node sequence, set of entities to be matched, and candidate entity set for each entity label in the set of entities to be matched for each transaction order in the platform transaction data; a link module for determining the link transaction data of multiple link transactions; a calculation module for calculating the scheduling value of each candidate matching entity set for each link transaction; and a management module for implementing execution management of all transaction orders in the platform transaction data. This allows for intelligent matching and dynamic optimization of multi-entity resources, improving the link integration efficiency, entity matching accuracy, and resource utilization efficiency of logistics transactions, and strengthening the platform's adaptability to complex logistics scenarios and its full-process control capabilities.
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