Revenue prediction method and system, electronic equipment and computer readable storage medium

Abstract

The invention provides an income prediction method and system, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining the feature information, related to the income, of a target object in a target time period, the feature information related to the income comprises freight information of the target object, third-party evaluation information of the target object, enterprise public opinion information of the target object and macroeconomic information related to the target object; inputting the obtained feature information related to the income into a trained income prediction model to obtain the predicted income of the target object in the target time period; the trained income prediction model is obtained by training on the basis of feature information, related to the income, of the sample object and a corresponding actual income label; and determining early warning information according to the predicted income of the target object in the target time period and the actual income of the target object in the same time period before the target time period. And the income prediction precision is improved through various types of feature information and an income prediction model.

Description

technical field [0001] The present invention relates to the forecasting field, in particular to an income forecasting method, system, electronic equipment and computer-readable storage medium. Background technique [0002] In today's railway freight business, the income of railway companies comes from customers. Forecasting the current income of customers through the customer's business development can find problems in the operation, which is convenient for timely marketing maintenance and reduction of losses. [0003] At present, railway companies use methods such as multiple linear regression, ridge regression or LASSO regression to realize the prediction of customer income, or use neural networks to realize the prediction of customer income. [0004] The above prediction method uses a single model, and the types of prediction features are very limited, which has the defect of low prediction accuracy. Contents of the invention [0005] The present invention provides an ...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an income forecasting method, system, electronic equipment and computer-readable storage medium, which are used to solve the defect of low forecasting accuracy in the prior art and effectively improve the forecasting accuracy

Images