Customer analysis system based on big data

Abstract

The invention provides a client analysis system based on big data. The system includes a data acquisition unit, data filter unit, a data storage unit and a data analysis unit, a data acquisition unitperforms data capture on information of browsing and transaction information pages of well-known shopping websites on the Internet, A data screening unit sets customer characteristic data, screening the data captured by the data acquisition unit according to the customer characteristic data, The customer characteristic database is obtained, the data storage unit designs the category label according to the customer characteristic database, and stores the data according to the category label classification, the data analysis unit carries on the cluster analysis to the data under the same category label, obtains the customer to the price, the brand preference, the purchase frequency information, and generates the corresponding customer analysis report.

Description

technical field [0001] The invention relates to a customer analysis system based on big data, which includes a data acquisition unit, a data screening unit, a data storage unit and a data analysis unit. Background technique [0002] The vigorous development of e-commerce has injected a strong impetus into the economy of our country, and at the same time, the competition among merchants has been carried out to the point of white-hot. Subsequent operators cannot understand the form of the market, and existing businesses do not have enough information to support themselves to expand their production and operation scale. However, the current data collection has developed to a relatively mature stage, and there are already many applicable theories in marketing and customer relationship management. The combination of the two can provide some information that was not possible before. [0003] The current customer analysis is limited to the analysis of information obtained from a ...

AI Technical Summary

Problems solved by technology

[0003] The current customer analysis is limited to the analysis of information obtained from a store, and can only be adjusted according to the operation of its own store, and it is impossible to understand the status quo of the entire industry. The existing customer behavior analysis is based on the data of a single store. Unable to understand the different price ranges across the industry nor understand consumer preferences

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