A customer monitoring and analysis system based on big data

An analysis system and big data technology, applied in the field of data analysis systems, can solve problems such as low efficiency, low accuracy, low pertinence, and difficulties, and achieve the effect of improving the success rate of push

Active Publication Date: 2021-11-30
浙江华坤道威数据科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For offline shopping, its unique shopping experience and service efficiency are still a shopping method chosen by many people. There are few methods, so it is very difficult to carry out data mining for offline shopping behavior information. The existing method is to analyze the online shopping data and associate customers, and then realize the offline shopping of customers. Prediction, but this method is not efficient, accurate and targeted

Method used

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  • A customer monitoring and analysis system based on big data
  • A customer monitoring and analysis system based on big data
  • A customer monitoring and analysis system based on big data

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Embodiment Construction

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0043] see figure 1As shown, the present embodiment provides a customer monitoring and analysis system based on big data, including a storage server, and the system also includes a member login module, a promotion push module, a recording module, a checkout module and a consumption analysis module; Data can be transmitted via wifi or 4G data network.

[0044] The storage server is used to store customer account information, commodity information of each commodity ...

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PUM

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Abstract

The invention discloses a customer monitoring and analysis system based on big data, which includes a member login module, a promotion push module, a recording module, a checkout module and a consumption analysis module. The second-level area of ​​branded goods forms a one-way shopping channel to construct a scene for monitoring customer shopping behavior; by obtaining the time of entry and departure of customers in each brand and the first-level area, it is used as the original description of customer shopping behavior Data; after the preliminary analysis of the original data removes the interference factors, the average stay score T is obtained. In order to realize the monitoring of the shopping behavior of customers when shopping in offline supermarkets. The average stay score T is processed and analyzed to obtain the brands and categories of interest. According to the analysis results, the promotion push module is optimized, and then the shopping behavior of customers when shopping in offline supermarkets is analyzed to improve the success rate of push.

Description

technical field [0001] The invention relates to a data analysis system, in particular to a customer monitoring and analysis system based on big data. Background technique [0002] With the development of network technology, more and more people choose to shop online. For merchants, online shopping can easily obtain the data of customers when shopping, and then through mining and processing these data, the customer's Predict the shopping behavior and realize timely and accurate advertising push to increase the possibility of transaction. For offline shopping, its unique shopping experience and service efficiency are still a shopping method chosen by many people. There are few methods, so it is very difficult to carry out data mining for offline shopping behavior information. The existing method is to analyze the online shopping data and associate customers, and then realize the offline shopping of customers. Forecasting, but this method is not efficient, accurate and target...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/00G06Q30/02
CPCG06Q30/01G06Q30/0201
Inventor 孟宪坤田文郭杨
Owner 浙江华坤道威数据科技有限公司
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