Recommending system and method for guiding customer to handle banking business based on big data prediction

Abstract

The invention discloses a recommending system and method for guiding a client to handle a banking business based on big data prediction. The system comprises clients, a positioning module, network sites, a data transmission module and a prediction module; the clients portray and classify the clients; the positioning module positions the current locations of the clients and synchronously displays specific distances and predicted arriving time of the network sites; the network sites divide time into different periods and respectively calculate the average handling time of a certain business in different periods, the demand density of handling the certain business in different periods or the demand density of reserving the certain business in different periods; the data transmission module obtains data through connecting with the client, the network sites and the positioning module in real time and transmits the data to the prediction module; and the prediction module customizes recommending information for the clients. According to the system and the method provided by the invention, the recommending degree of each network site can be accurately and intelligently given out; through portraying and classifying the clients, individual recommending and precise marketing can be carried out to different clients; the efficiency is relatively high; and the cost is relatively low.

Description

technical field [0001] The invention relates to the field of banking service management, in particular to a recommendation system and method for guiding customers to handle banking business based on big data prediction. Background technique [0002] When handling business in the bank, it often occurs that customers wait for a long time in the bank branch, and the business is not processed after taking the number. This will not only fail to make full use of resources, but also cause customer dissatisfaction and reduce customer experience. The number calling machine solves the orderliness of customer queuing to a certain extent, but there are still problems that customers are uncertain about the business processing time and many people do not handle business after picking up the number, so customers still spend a lot of time waiting. In view of this phenomenon, it is very important to recommend customers to handle banking business reasonably and effectively, that is, to minimi...

AI Technical Summary

Problems solved by technology

[0004] However, the invention has the following disadvantages: First, the patent does not provide a standard for customer classification, and cannot accurately distinguish important customers from general customers

Second, the patent does not explain how to process the queuing request if the customer clicks repeatedly, and repeated clicking will result in low queuing efficiency

Third, the precise calculation of the waiting time of all customers waiting to handle business does not take into account the fact that customers may have more needs and questions, which may lead to the extension of business processing time, etc.

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