Information acquisition system for supermarket member purchase preference big data analysis

Abstract

The invention relates to an information acquisition system for supermarket member purchase preference big data analysis. The device comprises a footstand and a recording mechanism, a seat groove is formed in the middle of the foot seat; a groove pad is fixed at the end part of the seat groove; lamp panels are connected to the left wall and the right wall of the base groove. The recording mechanismis mounted at the upper end of the footstand; an upper seat is mounted at the upper end of the recording mechanism; a sealing plate is arranged at the rear end of the upper seat; a display is mountedat the front end of the upper seat; the beneficial effects of the invention are that: according to the information acquisition system for supermarket member purchase preference big data analysis, theside blocks and the sliding block grooves slide; the base plate can be pulled out from the footstand; the base plate can be conveniently taken out to be operated and used, better regulation and control performance is achieved, some recording pens can be stored through an inner cylinder, paper can be stored through the hollow groove in the inner side of the base plate, an operator can convenientlyrecord big data needing to be understood through the paper and the pens, and the base plate is very practical.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to an information collection system for big data analysis of shopping preferences of supermarket members. Background technique [0002] Big data analysis refers to the analysis of huge-scale data. Big data can be summarized as 5 Vs: large data volume (Volume), fast speed (Velocity), variety (Variety), value (Value), and authenticity (Veracity). ), big data is the hottest vocabulary in the IT industry nowadays, and the subsequent use of data warehouse, data security, data analysis, data mining, etc. around the commercial value of big data has gradually become the focus of profit that people in the industry are vying for. , In supermarkets, it is generally applied to big data analysis and collection systems. [0003] Due to the external structure of the acquisition system, no humanized design has been made, that is, no components that are conducive to the acquisition and us...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an information acquisition system for big data analysis of supermarket members' purchase preferences, to solve the problem that the acquisition system proposed in the background technology does not have a humanized design for the external structure, that is, it is not placed on the shell, which is beneficial to the body of the device. The components used for collection, such as the device body, often record data during data collection, especially in some special environments, such as supermarkets, where the requirements are relatively strict and staff cannot wear electronic products, so big data cannot be well processed. Excerpt records, there is a situation that is not convenient to use

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