Order supply-and-demand scheduling method and system, computer device and storage medium

A scheduling method and order technology, applied in the Internet field, can solve problems such as the inability to prevent order bottlenecks, and achieve the effect of reducing order bottlenecks and rationally allocating transportation capacity

Active Publication Date: 2017-12-05
北京同城必应科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides an order supply and demand scheduling method, system, computer equipment and storage medium to solve the problem that the existing technology cannot prevent and reduce the occurrence of order bottlenecks

Method used

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  • Order supply-and-demand scheduling method and system, computer device and storage medium
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  • Order supply-and-demand scheduling method and system, computer device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 It is a flowchart of an order supply and demand scheduling method in Embodiment 1 of the present invention. The method can be executed by an order supply and demand scheduling system, wherein the system can be implemented by software and / or hardware. Such as figure 1 As shown, the method includes:

[0027] S110. Perform data mining on historical order data and promotional activity information to predict potential order data.

[0028] Specifically, the historical order data may include past completed order data in different regions and different time periods, such as order account, order position, order quantity, order time and other data. In this embodiment, the order account can be used to analyze which accounts are high-frequency users who place orders; the order location can be used to analyze the specific location of the order delivery; The number of orders of different accounts that appear in different time periods in each region can be analyzed. Gener...

Embodiment 2

[0042] figure 2 It is a flow chart of the order supply and demand scheduling method in Embodiment 2 of the present invention, and this embodiment is further optimized on the basis of Embodiment 1. Such as figure 2 As shown, the method includes:

[0043] S210. Perform data mining on historical order data and promotional activity information to predict potential order data.

[0044]S220. Filter the real-time order data to determine the order data to be grabbed.

[0045] S230. Use the sum of the number of potential orders and the number of orders to be grabbed as the order demand, and determine the order demand in different time periods in each delivery area according to the time and location of the potential orders and the orders to be grabbed.

[0046] Among them, the order demand includes the sum of the potential orders and the orders to be grabbed, but when displaying the potential orders and the orders to be grabbed, the potential orders and the orders to be grabbed can...

Embodiment 3

[0060] image 3 It is a schematic structural diagram of the order supply and demand scheduling system in Embodiment 3 of the present invention. The system executes the order supply and demand scheduling method provided in any of the above embodiments, and the system can be implemented by software and / or hardware. Such as image 3 As shown, the system specifically includes:

[0061] A potential order prediction module 310, configured to perform data mining on historical order data and promotional activity information to predict potential order data;

[0062] The pending order acquisition module 330 is configured to filter the real-time order data to determine the pending order data;

[0063] The dispatcher scheduling module 320 is configured to dispatch dispatchers according to the potential order data, the order data to be grabbed and the dispatcher information.

[0064] Preferably, the distribution personnel scheduling module 320 includes:

[0065] The order demand determ...

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Abstract

The embodiment of the invention discloses an order supply-and-demand scheduling method and system, a computer device and a storage medium. The method includes the following steps: conducting data mining on historical order data and promotion activity information, and predicating latent order data; filtering real-time order data and determining to-be-grabbed order data; and scheduling delivery workers on the basis of the latent order data, the to-be-grabbed order data and information of the delivery workers. The latent order data and the to-be-grabbed order data are obtained and the delivery workers are scheduled on the basis of the latent order data, the to-be-grabbed order data and information of the delivery workers, so possibilities of order bottlenecks are prevented and reduced, sudden and great increases on orders can be predicted in advance, the delivery capacity can be arranged reasonably, the quick experience of order grabbing is improved, order receiving quantities for the delivery workers are increased, and the order loss rate is reduced.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of the Internet, and in particular to an order supply and demand scheduling method, system, computer equipment and storage medium. Background technique [0002] With the rapid development of the economy and the popularity of the Internet, especially the rise of e-commerce, people's traditional consumption patterns have been changed, and people's demands are also increasing, thus driving the development of the express delivery industry. The development of the express delivery industry has shortened the distance between people and brought great convenience to people's lives. [0003] At present, most of the typical order dispatching systems collect real-time order data, and automatically redispatch orders or manually communicate with customer service personnel and delivery personnel to achieve The function of evacuating and relieving the pressure of existing orders. [0004] However...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08G06Q30/06
CPCG06Q10/063114G06Q10/083G06Q30/0635
Inventor 于红建付祥立
Owner 北京同城必应科技有限公司
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