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An order supply and demand scheduling method, system, computer equipment 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: 2021-03-09
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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  • An order supply and demand scheduling method, system, computer equipment and storage medium
  • An order supply and demand scheduling method, system, computer equipment and storage medium
  • An order supply and demand scheduling method, system, computer equipment 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. like 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. Generall...

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. like 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 be...

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. like 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 determina...

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Abstract

The embodiment of the present invention discloses an order supply and demand scheduling method, system, computer equipment, and storage medium, including: data mining on historical order data and preferential activity information to predict potential order data; filtering real-time order data to determine pending Grab the order data; dispatch the dispatcher according to the potential order data, the order data to be grabbed and the dispatcher information. The embodiment of the present invention obtains potential order data and pending order data, and dispatches delivery personnel according to the potential order data, pending order data, and delivery personnel information, so as to prevent and reduce the possibility of order bottlenecks, so as to realize early forecasting of orders The outbreak of the outbreak and the effect of reasonable allocation of capacity have improved the fast experience of grabbing orders, increased the number of orders received by delivery personnel and reduced the rate of missed orders.

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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Patent Type & Authority Patents(China)
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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