Cloud catering platform based on big data feature analysis and analysis method thereof

Abstract

The invention belongs to the technical field of catering, and discloses a cloud catering platform based on big data feature analysis and an analysis method. The cloud catering platform includes a front-end client, a background management system, and an intelligent analysis service system; Data, specific business goals, selection of different models and algorithms, configuration of different parameter settings, multiple tests and evaluations, and in-depth analysis of the intelligent analysis results of customers' potential consumption dishes and members' consumption habits. The invention solves many problems existing in the existing catering operation. The integrated cloud catering system of the invention enables the restaurant to break through more revenue, lower cost, and higher efficiency, and fully covers queuing, ordering, payment, cashier, report and marketing, etc. function, and let online catering and offline businesses help you quickly complete the establishment and interoperability of multiple business models, and realize resource service sharing.

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] There are probably two problems with traditional catering companies. First, the ordering process still continues the manual ordering method hundreds of years ago, which relies heavily on personnel and requires a lot of cost; second, it does not pay enough attention to historical consumption data or has no Accumulation, ignoring the potential commercial value behind big data. [0003] Problems existing in the existing catering operation: [0004] 1. Manual ordering: many people have to queue up, time-consuming and labor-intensive, and sometimes misrecorded bills, [0005] 2. Inconvenient payment: it is inconvenient to find change, there will be counterfeit money, miscalculated bills, [0006] 3. The menu is incomplete: the menu may not be enough during th...

AI Technical Summary

Problems solved by technology

[0004] 1. Manual ordering: many people have to queue up, time-consuming and labor-intensive, and sometimes misrecorded bills,

[0005] 2. Inconvenient payment: it is inconvenient to find change, there will be counterfeit money, miscalculated bills,

[0006] 3. The menu is incomplete: the menu may not be enough during the peak period, only one table can be used at a time, and it is easy to get dirty.

[0007] 4. Inconvenient management: it is easy to remember the wrong location when serving food, and to confuse the order of customers' orders.

[0008] 5. Consumption data cannot be intelligently analyzed, and sufficient secondary precision marketing cannot be carried out

[0009] 6. At present, most of the existing catering systems are used in local area networks, which are relatively closed. The data consumed by customers is only limited to the catering enterprise. The third-party service industry cannot access the existing catering system, and cannot form big data on catering consumption.

[0010] To sum up, there are problems in the existing technology: consumption data cannot be intelligently analyzed, and sufficient secondary precision marketing cannot be carried out; the existing catering system is relatively closed, and the data of customer consumption is only limited to the catering enterprise, and third-party services The industry cannot access the existing catering system, and cannot form big data on catering consumption, etc.

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