Information pushing method, device, computer device and storage medium

Abstract

The application discloses an information pushing method, an information pushing device, a computer device and a storage medium, wherein the method comprises the following steps of: obtaining historical sales data of a preset product; determining a customer data feature according to customer information data and customer behavior data in the historical sales data; modeling and training by a presetalgorithm to obtain a sales prediction model of the preset product based on the customer data feature; predicting a current customer corresponding to the preset product based on the sales prediction model to output a predicted result; and pushing the customer information corresponding to the current customer and the predicted result to a salesman corresponding to the preset product. The method uses the historical sales data for analysis and modeling to predict the current customer's predicted result of purchasing the preset product, and sends the predicted result to the corresponding salesmanwho sells the product according to the preset result, thereby increasing the sales efficiency of the preset product while saving the salesman's time.

Description

technical field [0001] The present application relates to the technical field of the Internet, and in particular to an information push method, device, computer equipment and storage medium. Background technique [0002] At present, the sales targets of many online product sales need to be determined by expert opinions and previous experience, such as wealth management products of banks and securities companies, smart fixed investment funds, funds, pension security management products or fixed term, etc. There is a lot of subjectivity and instability in the way of previous experience, and the lack of sufficient actual data support to ensure feasibility and objectivity is not conducive to product sales. At the same time, historical sales data cannot be used well to accumulate experience, resulting in a waste of resources. Contents of the invention [0003] The present application provides an information push method, device, computer equipment and storage medium, aiming to ...

AI Technical Summary

Problems solved by technology

[0002] At present, the sales targets of many online product sales need to be determined by expert opinions and previous experience, such as wealth management products of banks and securities companies, smart fixed investment funds, funds, pension security management products or fixed term, etc. There is a lot of subjectivity and instability in the way of previous experience, lack of sufficient actual data support to ensure feasibility and objectivity, which is not conducive to product sales

At the same time, the historical sales data cannot be well used to accumulate experience, resulting in a waste of resources

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