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Logistics customer loss early warning method, device and equipment and storage medium

A customer loss and logistics technology, applied in the field of logistics management, can solve problems such as different timeliness, low loyalty of major customers, fierce price wars among express delivery giants, etc., to achieve the effect of convenient maintenance and avoiding sudden loss

Pending Publication Date: 2021-02-12
SHANGHAI DONGPU INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. The loyalty of major customers is low, and the express carrier will be changed frequently:
[0005] 2. The fierce price war among the express delivery giants leads to frequent price changes, which leads to large customers switching express companies following the price changes, resulting in a sharp drop in the order volume of outlets
[0007] 4. The timeliness of each express delivery line is different, which will also cause large customers to switch express delivery, such as sending the delivery to Beijing to Yuantong, and sending to Guangdong to Yunda, etc.

Method used

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  • Logistics customer loss early warning method, device and equipment and storage medium
  • Logistics customer loss early warning method, device and equipment and storage medium
  • Logistics customer loss early warning method, device and equipment and storage medium

Examples

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Embodiment 1

[0044] Usually, 80% of the sales of a logistics company come from 20% of its overall customers, and such customers are called major customers in the industry. It can be understood that major customers are mainly the customer groups that have core significance and value to the sellers in the market. For small and medium customers, major customers mainly play a significant role in promoting the long-term development and profit improvement of enterprises. It can be seen that key customers are the key factors for logistics companies to increase subsequent sales and obtain profits.

[0045] However, in the current logistics industry, there are generally large fluctuations in the order quantity of large customers. In order to avoid the impact on the income of logistics companies due to the sudden loss of large customers, the present invention provides an early warning method for the loss of logistics customers, which can predict the loss of logistics customers probability, so that i...

Embodiment 2

[0089] The present invention also provides a logistics customer loss early warning device, see image 3 , the device consists of:

[0090] The data processing module 1 is used to collect the original order data of each logistics customer in a historical period, organize and summarize the original order data, and calculate some attributes related to customer loss;

[0091] The model creation module 2 is used to establish a Logistics model based on several attributes, input single-volume data including lost customers into the Logistics model for analysis, and determine the relevant parameters of the Logistics model;

[0092] The early warning module 3 is used to use the Logistics model to predict customer loss based on the determined relevant parameters of the Logistics model, and issue early warning information.

[0093] Wherein, the data processing module 1 includes a data set creation unit and a statistical analysis unit. The data set creation unit is used to remove outlier...

Embodiment 3

[0096] The above-mentioned second embodiment describes the logistics customer loss early warning device of the present invention in detail from the perspective of modularized functional entities. The following describes the logistics customer loss early warning device of the present invention in detail from the perspective of hardware processing.

[0097] Please see Figure 4 , the logistics customer churn warning device 500 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (for example, one or more processors) and memory 520 , one or more storage media 530 (such as one or more mass storage devices) for storing application programs 533 or data 532 . Wherein, the memory 520 and the storage medium 530 may be temporary storage or persistent storage. The program stored in the storage medium 530 may include one or more modules (not shown in the figure), and each module m...

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Abstract

The invention discloses a logistics customer loss early warning method, device and equipment and a storage medium, and aims to solve the problem that the benefit of an express enterprise is affected due to large fluctuation of the single quantity of large customers in the express industry at present; the method includes collecting the original single quantity data of the logistics large customersin a historical period and sorting and summarizing, and calculating a plurality of attributes related to customer loss; based on the plurality of attributes, establishing a Logistic model, inputting single-quantity data containing lost clients into the Logistic model for analysis, and determining related parameters of the Logistic model; and based on the determined relevant parameters of the Logistic model, adopting the Logistic model to predict customer loss, and issuing early warning information. The loss probability of the logistics big customers is predicted, so that employees can maintainthe logistics big customers which may be lost conveniently, and the big customers are prevented from being lost suddenly to influence the benefits of enterprises.

Description

technical field [0001] The invention belongs to the technical field of logistics management, and in particular relates to a logistics customer loss early warning method, device, equipment and storage medium. Background technique [0002] Major customers are the core assets of express companies. At present, the daily ticket volume of several express delivery companies in China has reached hundreds of millions of pieces, and 95% of the hundreds of millions of tickets come from major e-commerce customers. Whoever has more pieces will get more benefits, so The number of major customers determines the trend of the express company's business volume. [0003] However, there is a common phenomenon in the express delivery industry that the order volume of large customers fluctuates greatly. After analysis, the reasons for the large fluctuations in the order volume of large customers are as follows: [0004] 1. The loyalty of major customers is low, and the express carrier will be ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06Q30/00
CPCG06Q10/04G06Q30/01G06Q10/083
Inventor 李杰苌生辉郑国兵孙越峰
Owner SHANGHAI DONGPU INFORMATION TECH CO LTD
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