A cloud food and beverage platform and analysis method based on big data feature analysis

Abstract

The invention belongs to the technical field of food and beverage, and discloses a cloud food and beverage platform and an analysis method based on big data characteristic analysis. The cloud food andbeverage platform comprises a front-end client, a background management system and an intelligent analysis service system. The analysis method includes selecting different models and algorithms, configuring different parameter settings, carrying out multiple tests and evaluations according to business data and specific business objectives, and carrying out in-depth analysis on the intelligent analysis results of potential consumer dishes and members' consumption habits. The invention breaks through the original operation mode of the restaurant, comprehensive coverage of queuing, ordering, payment, cash register, reporting and marketing functions, increases the efficiency of our staff, improves work efficiency, and lets online catering, offline businesses quickly complete the constructionand interoperability of a variety of business models, to achieve resource and service sharing, effectively saves the cost of production input, creates a greater profit margin.

Description

Technical field [0001] The invention belongs to the technical field of catering, and in particular relates to a cloud catering platform and analysis method based on big data feature analysis. Background technique [0002] The catering industry is a traditional industry, and catering is an important part of the service industry. After many years of reform and development, China's catering market has entered a new stage, and some new changes have taken place in the form of market competition. Although the catering industry is reforming following the market situation, most of it is still between traditional and non-traditional. There are probably two problems with traditional catering companies. First, the ordering process still continues the manual ordering method hundreds of years ago, with heavy staff dependence and a large amount of cost; second, insufficient attention or no attention to historical consumption data Accumulation, ignoring the potential commercial value behind b...

AI Technical Summary

Problems solved by technology

[0004] (1) Most of the existing catering industry is still a traditional industry, or the sales model of the catering industry has changed to a partial online payment model, but there are still big problems: payment is inconvenient: it is inconvenient to find change, there will be counterfeit money, Miscalculation of bills; inconvenient management: it is easy to remember the wrong location when serving food, and the order of customers ordering food is confused, etc. The management of the catering industry is poor, a lot of manpower and material resources are wasted, and the cost investment is relatively large

[0005] (2) When the model is large and there are many data styles, the calculation of the similarity of massive order data styles makes the calculation efficiency low

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