Intelligent order scheduling method and server, electric vehicle, mobile terminal and system

Abstract

The invention discloses an intelligent order scheduling method. The intelligent order scheduling method comprises the following steps: obtaining a new order; obtaining geographic positions of a user and a merchant according to information in the new order; calculating a distribution distance between the geographic position of the user and the geographic position of the merchant according to the geographic position of the user and the geographic position of the merchant; monitoring electric vehicle data uploaded by a distribution worker electric vehicle monitoring system, and calculating a pre-estimated driving distance of an electric vehicle of each distribution worker; and carrying out intelligent distribution of the order according to the data. The invention further provides an intelligent order scheduling server, the electric vehicle applied to the intelligent order scheduling method, a mobile terminal applied to the intelligent order scheduling method, and a system applied to the intelligent order scheduling method. By the aid of the intelligent order scheduling method and server, the electric vehicle, the mobile terminal and the system, the short-distance and in-time distribution can be efficiently finished.

Description

technical field [0001] The invention relates to the technical field of logistics network, in particular to an intelligent order scheduling method, server, electric vehicle, mobile terminal and system. Background technique [0002] With the gradual popularity of online shopping, consumers are becoming more and more accustomed to purchasing goods online. Early online shopping was mainly aimed at categories with a high degree of standardization and low timeliness requirements, such as electronic products, books, and clothing. After a user places an order online, the product is usually delivered to the consumer through offline logistics within a few days to a week. Recently, with the rise of the mobile Internet, various applications based on the user's geographic location information have emerged, and one of the most typical applications is ordering takeaway food. Different from traditional online shopping, food delivery has high requirements on timeliness. It usually takes ab...

AI Technical Summary

Problems solved by technology

[0004] 1. High real-time requirements: The effective time of an order is generally about 1 hour. If the order cannot be completed within this time, it will cause poor user experience and lead to chargebacks

[0005] 2. High concentration of orders: Takeaway orders generally occur during the two peak hours of 11:00 to 13:00 at noon and 17:00 to 19:00 in the evening

[0006] 3. Limited delivery resources: the number of delivery personnel is fixed every day

[0007] 4. Contradiction between delivery cost and user experience: If each delivery person is only allowed to deliver one order at a time, the delivery speed will be the fastest and the user experience will be the best, but the profit from delivery cannot offset the delivery cost of

[0010] It can be seen that the current short-distance timely delivery process represented by food delivery still takes a long time and is not intelligent enough; how to allocate orders reasonably so that the delivery staff can complete as many orders as possible within the specified time is a problem that the system needs to solve The problem

Images