Intelligent early warning method and device for enterprise strategy, electronic equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, and provides an enterprise strategy intelligent early warning method comprising the following steps: carrying out NLP identification processing on external operation data to extract external feature data; performing standardization processing and coding processing on the enterprise internal evaluation data to obtain internal reference data; the method comprises the following steps: acquiring main reference information through a multiple regression model, acquiring auxiliary reference information through a temporal difference autoregression moving average model, acquiring a predicted customer throughput trend according to the main reference information and the auxiliary reference information, and acquiring risk early warning information of a current enterprise according to the customer throughput trend and preset trend risk contrast information, therefore, intelligent early warning of the customer risk is realized, possible loss found after the event is reduced, namely, intelligent early warning of the customer risk is realized, and possible loss found after the event is reduced; the accuracy and practicability of the model are evaluated, and the throughput prediction precision is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, to data analysis technology, and in particular to an enterprise strategic intelligent early warning method, device, electronic device and computer-readable storage medium. Background technique [0002] Due to the limitations of historical experience in business development, technical limitations and other factors, the main way for most port groups to obtain major customer information is through customer visits. The customer risk information is received after the fact, so that the perception of the customer's situation is not obvious, the response is delayed, and the early or timely warning cannot be given. Once the risk occurs, it is easy to cause heavy losses to port enterprises. Therefore, identifying customer business risk behaviors in advance and formulating strategies in a timely manner are crucial to the healthy development of port enterprises. [0003] The main business objective of...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an intelligent early-warning method for enterprise strategy to solve the problems in the prior art due to factors such as operational development historical experience limitations and technical limitations. Most port groups currently mainly obtain information on major customers through customer visits, but the visit cycle is irregular, Factors such as incomplete information dimensions seriously affect the risk control of major customers. In most cases, risk information of major customers is received after the fact, so that the perception of the customer's situation is not obvious, the response is delayed, and early or timely warning is not possible. Once a risk occurs, it is easy to cause damage to port enterprises. The problem of significant loss

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