Catering member big data analysis and management system based on cloud computing

Abstract

The invention discloses a catering member big data analysis and management system based on cloud computing, which comprises a reservation analysis module, a dish analysis module and a screening recommendation module, and is characterized in that the reservation analysis module is used for analyzing reservation information of catering members. The catering member system can reasonably process reservation information of catering members and improve dining efficiency of the catering members. The dish analysis module is used for carrying out matching analysis on dishes of a restaurant and tastes of catering members, and the screening recommendation module is used for automatically screening and recommending the restaurant to the catering members through a system. The system can select corresponding restaurants and dishes according to the requirements and tastes of catering personnel, and has complete and rich functions.

Description

technical field [0001] The invention belongs to the technical field of catering industry, relates to a catering member data analysis and management technology, in particular to a cloud computing-based catering member big data analysis and management system. Background technique [0002] There are two main concepts of the catering industry: one is catering, and the other refers to the industry or institution that provides catering to meet the dietary needs of diners, thereby obtaining corresponding service income. Due to the different eating habits and tastes of different groups of people in different regions and different cultures, the catering around the world shows a variety of characteristics. The catering market will enter the era of brand consumption. The 16th growth rate continues to play a positive role in expanding consumption and promoting employment. For catering companies, the importance of brand power is self-evident. The competition in the catering market will...

AI Technical Summary

Problems solved by technology

[0003] When catering personnel use the current catering membership data system, they can only select restaurants and their dishes according to the system. The function of the system is relatively single, and the system cannot select corresponding restaurants according to the needs and tastes of catering personnel. At the same time, in During the peak dining period, the catering membership system cannot reasonably process the reservation information of catering members, resulting in low dining efficiency for catering members. Therefore, we propose a big data analysis and management system for catering members based on cloud computing

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