Catering member big data analysis and assessment system based on cloud computing and data mining

Abstract

The invention relates to a catering member big data analysis and checking system based on cloud computing and data mining. The catering member big data analysis and checking system comprises an operation service terminal system, at least one merchant terminal system, a member terminal system, a cloud data center and a data mining system which respectively realize two-way communication, wherein the operation service terminal system, the merchant terminal system and the member terminal system are used for entering original data related to catering member operation and interacting information with the cloud data center; after pretreatment through the cloud data center, the original data are sent to the data mining system for analytical calculation, rule models are output and gathered to the cloud data center and are sent to an appointed merchant terminal system through the cloud data center, the rule models are gathered on the merchant terminal system and the rule models with time attributes are formed through user correction, the rule models are applied after correction and application result data are formed, and the rule models with time attributes and the application result data are stored in the cloud data center as a knowledge base.

Description

technical field [0001] The invention relates to a catering management system, in particular to a big data analysis and assessment system for catering members based on cloud computing and data mining. Background technique [0002] In recent years, some large-scale catering enterprises have generally used customer relationship management software (CRM) to realize the informatization of restaurant membership management. Common ones include the CRM system that comes with the cash register system, the CRM system provided by the Internet catering platform service provider, and the independently developed CRM software products. These CRM systems usually include several modules such as member management, member marketing, member consumption, and statistical reports. Among them, the member management module is used for adding, deleting, modifying and querying member information; the member marketing module is used for catering enterprise members, using different Differentiated marke...

AI Technical Summary

Problems solved by technology

[0004] 1. At present, member marketing in the domestic catering industry is still in the initial stage of development, and there are information barriers between companies. Whether it is a single store, single brand, single business format or the entire industry, it is impossible to give a measurement of the development of membership operations and the effectiveness of execution standards, leading catering companies to do membership marketing blindly, which will inevitably affect operational efficiency and even cause losses;

[0005] 2. Lack of an intelligent and relatively accurate member operation data prediction model, resulting in the inability of catering companies to adjust member operation plans in advance and allocate limited operating resources of restaurants;

[0006] 3. Due to the confidentiality of the overall operation data of catering companies and the separation of their own operating systems and professional CRM systems, merchants cannot clarify the actual role of membership operations in the overall operation of catering companies through data analysis, thus making it impossible to accurately measure input and output. Compare

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