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Logistics daily-degree package quantity prediction optimization method, device and device, and storage medium

A prediction optimization and storage medium technology, applied in the field of data processing, can solve problems such as large trend or magnitude deviation, affecting prediction accuracy, and low prediction accuracy, so as to improve sensitivity, improve prediction accuracy, and optimize prediction effect. Effect

Pending Publication Date: 2021-05-07
SF TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

During this period, if the predicted value of the model is directly used, the prediction accuracy rate will be low, for example, the predicted value during this period will have a trend or magnitude deviation from the real value, which will affect the prediction accuracy

Method used

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  • Logistics daily-degree package quantity prediction optimization method, device and device, and storage medium
  • Logistics daily-degree package quantity prediction optimization method, device and device, and storage medium
  • Logistics daily-degree package quantity prediction optimization method, device and device, and storage medium

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.

[0049] see figure 1 , figure 1 It is a schematic flowchart of a method for forecasting and optimizing the daily logistics piece quantity provided by an embodiment of the present application. The execution body of the logistics daily piece quantity forecasting and optimization method may be the logistics daily piece quantity forecasting optimization device provided in the embodiment of the present application, or a device integrated with the logistics daily piece quantity forecasting optimizati...

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PUM

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Abstract

The embodiment of the invention discloses a logistics day-degree package quantity prediction optimization method and device, equipment and a storage medium. According to the embodiment of the invention, the prediction package quantity of a target date, the daily real package quantity of a historical period and the daily prediction package quantity are collected; calculating a day error between the daily real document quantity and the daily predicted document quantity in the historical period; and generating an optimized part amount according to the day error and the predicted part amount of the target date. Therefore, the prediction accuracy of the daily part quantity is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method, device, equipment, and storage medium for forecasting and optimizing daily logistics shipments. Background technique [0002] Pieces volume forecasting is a basic forecast in the field of logistics, among which daily piece volume forecasting can provide support for downstream manpower and scheduling planning, helping logistics operators to better reduce costs and increase profits. [0003] For example, the daily piece volume (such as daily cargo volume) of outlets in the logistics field (such as sending and receiving points) often changes in magnitude or trend, for example: due to customers moving in and out, promotional policies, and transformation of surrounding merchants In other cases, it will take a period of time for the daily piece quantity forecasting model based on the existing model to learn the trend change of the true value of the above...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/083
Inventor 苏德嘉曾文烨李凤化文文刘子恒汤芬斯蒂
Owner SF TECH