Replenishment system and method, electronic equipment and storage medium
By splitting tasks in the replenishment system and dynamically allocating them based on server load information, the problem of poor versatility in existing replenishment systems is solved, achieving efficient and stable replenishment processing and suggestion generation.
CN121437084APending Publication Date: 2026-01-30BEIJING JINGDONG YUANSHENG TECH CO LTD
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Patent Information
- Application Number
- CN202411035758.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-30
- Publication Date
- 2026-01-30
AI Technical Summary
Technical Problem
Existing replenishment systems suffer from poor versatility due to their customized development, failing to meet the diverse replenishment needs of different enterprises.
Method used
A replenishment system was designed, including an interactive service module, a data processing module, and a server cluster. The system splits replenishment tasks into multiple task fragments and dynamically allocates them to target servers for processing based on server load information, thereby generating replenishment suggestions.
Benefits of technology
It improves task processing efficiency, makes full use of server resources, reduces the risk of server downtime due to uneven load, and enhances system stability and versatility.
✦ Generated by Eureka AI based on patent content.
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Figure CN121437084A_ABST
Abstract
The embodiment of the invention provides a replenishment system and method, electronic equipment and a computer storage medium. The system comprises an interactive service module, a data processing module and a server cluster. The interaction service module is used for sending the replenishment task to the data processing module when receiving a trigger instruction for the replenishment task; the data processing module is used for splitting the replenishment task to obtain a plurality of task fragments; obtaining load information of a plurality of servers in the server cluster, determining target servers corresponding to the partial task fragments from the plurality of servers according to the load information, sending the partial task fragments to the corresponding target servers, obtaining the load information of the plurality of servers again, and repeating the above steps. The task fragments are sent until the task fragments are sent; and each target server is used for generating a replenishment suggestion of each article in the received task fragment and feeding back the replenishment suggestions to the interactive service module.
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