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Data analysis method, system, device for logistics network point and storage medium

A data analysis and network technology, applied in the field of logistics, can solve problems such as the complex evaluation of the pros and cons of the scheduling mode, and achieve the effect of overcoming subjective limitations, optimizing scheduling management, and objective data analysis results.

Pending Publication Date: 2019-03-01
SF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the evaluation of the pros and cons of the scheduling mode becomes complicated due to the different attributes of each outlet, such as location, operation mode, piece size, and management level.

Method used

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  • Data analysis method, system, device for logistics network point and storage medium
  • Data analysis method, system, device for logistics network point and storage medium
  • Data analysis method, system, device for logistics network point and storage medium

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Embodiment Construction

[0022] Embodiments of the present invention will be described below with reference to the drawings. Elements and features described in one drawing or one embodiment of the present invention may be combined with elements and features shown in one or more other drawings or embodiments. It should be noted that representation and description of components and processes that are not related to the present invention and known to those of ordinary skill in the art are omitted from the drawings and descriptions for the purpose of clarity.

[0023] figure 1 A flowchart showing a data analysis method for a logistics network according to an embodiment of the present application. It includes the following steps:

[0024] S100: Obtain business data of each logistics outlet, and select multiple variables representing business characteristics according to the business characteristics of the business data;

[0025] S110: Perform factor analysis, and obtain several factors after dimensional...

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Abstract

The invention discloses a data analysis method, system, device for logistics network point and a storage medium, wherein the method comprises the following steps: obtaining service data of each logistics network point; according to the service characteristics of the service data, selecting a plurality of variables representing the service characteristics; carrying out factor analysis, obtaining aplurality of factors after dimensionality reduction of the plurality of variables according to the factor analysis result; cluster analysis is carried out on the factors to obtain a clustering result.Through the factor analysis and clustering processing of the collected data, the subjective limitations of traditional classification based on experience and professional knowledge are overcome, andthe results of data analysis are more objective and accurate.

Description

technical field [0001] The disclosure generally relates to the technical field of logistics, and specifically relates to the organization and management of logistics outlets, especially the data analysis method, system, equipment and storage medium of logistics outlets. Background technique [0002] Receiving and dispatching express mail is the foundation of the express logistics industry. However, as the volume of express mail continues to rise and labor costs continue to rise, the scientific management of the express mail receiving and dispatching workflow and the reasonable and effective shift allocation for the dispatchers have become the most important The key to achieving maximum benefit with limited cost, therefore, exploring an easy-to-promote scheduling mode for receiving and dispatching outlets has become the first step to improve the overall operation level of logistics outlets. However, the evaluation of the pros and cons of the scheduling mode becomes complicate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06Q10/08
CPCG06Q10/08
Inventor 张英驰潘舒静陈才许颖聪陈秋丽金晶柯俞嘉
Owner SF TECH