Intelligent management method for enterprises

Abstract

The invention discloses an intelligent management method for enterprises, including the following steps: an APP client is set up, and users log into the APP client and issue service requests; a system server automatically numbers the service requests and enables the service requests to wait for system response; a business terminal assigns the service requests to a plurality of business staffers at the business terminal; the basic information and comprehensive performance of the business staffers are integrated and saved to a database; after the business is completed, the system automatically generates corresponding business report files, and carries out stack setting through function modules; and the business report files are checked and extracted through data search. When there are newly applied service requests, the system automatically responds to the requests in order and assigns the requests to the business staffers to handle the requests in time. The method is also used to evaluate the performance of business staffers. Users can freely select more than one function module needed through data search. The method is highly operable. User experience is more satisfactory. The method is highly operable.

Description

technical field [0001] The invention relates to the technical field of enterprise management, in particular to an enterprise intelligent management method. Background technique [0002] With the development of science and technology and the improvement of informatization, the traditional data retrieval methods in the enterprise management system can no longer meet the needs of management decision-making. In the process of data retrieval, people need to know everything as much as possible through simple keyword and phrase retrieval. associated data. Due to the modular design of the system and the huge amount of data, it is easy to cause data dispersion and confusion, which will lead to problems such as low data retrieval efficiency, incomplete data retrieval, and retrieval errors. [0003] Therefore, in order to solve the above-mentioned existing problems, the present invention provides a new technical solution. Contents of the invention [0004] The object of the present...

AI Technical Summary

Problems solved by technology

[0002] With the development of science and technology and the improvement of informatization, the traditional data retrieval methods in enterprise management systems can no longer meet the needs of management decision-making. In the process of data retrieval, people need to know everything as much as possible through simple keyword and phrase retrieval. associated data

Due to the modular design of the system and the huge amount of data, it is easy to cause data dispersion and confusion, which will lead to problems such as low data retrieval efficiency, incomplete data retrieval, and retrieval errors.

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