Cargo collecting and dispatching method and device, storage medium and electronic equipment

Abstract

The invention relates to a cargo collection scheduling method and device, and belongs to the technical field of data processing, and the method comprises the steps: enabling a plurality of collectionaddresses to be converted into latitude and longitude coordinates, and judging whether each latitude and longitude coordinate meets a clustering condition or not; Taking each collection address corresponding to each latitude and longitude coordinate meeting a clustering condition as a clustering center, and generating a polygonal collection area by using each clustering center; When it is monitored that a to-be-collected order exists in the polygonal collection area, judging a clustering center to which the to-be-collected order belongs according to a collection address of the to-be-collectedorder; And judging whether a cargo receiver exists in a preset range of a clustering center to which the to-be-received order belongs, and distributing the to-be-received order to the cargo receiver when judging that the cargo receiver exists in the preset range. According to the method, the cargo distribution time can be saved, and the timeliness of distribution of the to-be-received orders is improved.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular, relates to a cargo collection and scheduling method, a cargo collection and scheduling device, a computer-readable storage medium, and electronic equipment. Background technique [0002] With the rapid development of e-commerce, the competition among major shopping platforms is also fierce; among them, e-commerce logistics is also one of the core competitiveness of major shopping platforms. The core competitiveness of e-commerce logistics can include not only delivery of goods to customers, but also door-to-door pick-up of packages for corporate customers and business customers, and after-sales pick-up services for orders that have been delivered. [0003] With the opening of the distribution business, order collection from third-party customers has also become an important link in e-commerce logistics. Among them, third-party customers can include two types o...

AI Technical Summary

Problems solved by technology

However, the existing collection process has the following deficiencies: first, the real-time location of the collector is unknown, and the pick-up list can only be assigned to the collector based on experience; The customer is very far away, but the picker B is very close to the customer who needs to pick up, but dispatches the order to the delivery man A. As a result, the customer has to wait for several hours or even a day before the picker comes to pick up the package. It will lead to complaints from customers and directly affect the user experience; second, collection orders are sent to the site from time to time, and it is necessary to always stare at the page for distribution during distribution, which reduces work efficiency; third, the existing collection tasks, only The tasks can be assigned manually through the site, but the tasks cannot be allocated in time, the collection tasks cannot be completed in time, the resources are not called reasonably, the operation efficiency is low, and it often takes a day or two to collect at the door, resulting in serious customer complaints

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