Logistics configuration method and device, electronic equipment and readable storage medium
By constructing a cost model and solving for logistics configuration schemes, the logistics configuration schemes are automatically determined, solving the problem of high costs caused by manual operation and realizing refined control and efficiency improvement of logistics costs.
CN122335149APending Publication Date: 2026-07-03GUANGZHOU XIYIN INT IMPORT & EXPORT CO LTD +3
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU XIYIN INT IMPORT & EXPORT CO LTD
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-03
AI Technical Summary
Technical Problem
Existing logistics configuration schemes rely heavily on manual operation and lack unified and objective selection criteria, resulting in high transportation costs and difficulty in precise management.
Method used
By acquiring order information for packages, candidate fulfillment routes are generated, a cost model is built based on operational data, and the model is solved to automatically determine the logistics configuration scheme that meets the preset cost conditions, providing a unified and objective selection standard.
Benefits of technology
It has enabled automated and refined management of logistics configuration, reduced transportation costs, and improved the objectivity and efficiency of logistics configuration.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122335149A_ABST
Abstract
This application discloses a logistics configuration method, apparatus, electronic device, and readable storage medium. The method involves acquiring order information for a parcel to be transported, including the parcel's delivery address, shipping address, and at least one target pickup method supported by the merchant selling the parcel. Based on the order information and multiple logistics service providers, multiple candidate fulfillment paths corresponding to a target flow mode are generated. The target flow mode supports the target pickup method, and the candidate fulfillment paths include candidate pickup logistics service providers and candidate last-mile delivery logistics service providers. A cost model is constructed based on the operational data of the candidate pickup logistics service providers and candidate last-mile delivery logistics service providers in the multiple candidate fulfillment paths. The cost model is solved to obtain a logistics configuration scheme for the parcel that meets preset cost conditions. The logistics configuration scheme includes the target fulfillment path among the multiple candidate fulfillment paths and the target flow mode corresponding to the target fulfillment path, which can save logistics costs.
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