Resource sharing intelligent dining method, device and system, medium and equipment

Abstract

The invention discloses a resource sharing intelligent dining method, device and system, a medium and equipment, and the method comprises the steps: configuring a unique code for each dining positionand dish of each restaurant, and obtaining a position sample data feature set and a dish sample data feature set; receiving an ordering instruction of a user; when the ordering instruction of the useris the ordering of the restaurant of the designated dining position, the restaurant dish information configured by the dining position is displayed for the user to select; and displaying the dish information of the restaurant to the user, and determining whether the dining position can order the corresponding dish of the other restaurant or not for the dish of the other restaurant selected by theuser based on the similarity between the position sample data feature set of the specified dining position and the dish sample data feature set of the dish of the other restaurant. The dining efficiency of customers and the utilization rate of dining public resources can be effectively improved, better services can be provided for the customers, and the improvement of the operation efficiency ofa whole commercial center or a commercial district restaurant is facilitated.

Description

technical field [0001] The present invention relates to the technical field of intelligent dining, in particular to a resource sharing intelligent dining method, device, system, medium and equipment. Background technique [0002] With the progress of society and the rapid development of computer technology, the development of information technology makes all applications more and more efficient, and more and more computer operations are replaced by manual operations. With the rapid development of the economy and the rapid improvement of national living standards and quality, the catering industry is also developing rapidly. However, with the popularization of information automation technology, the shortcomings of the ordering mode of the traditional catering industry have become increasingly prominent, such as: high management costs, low efficiency of waiters, and serious cases of missing and wrong orders. These problems seriously affect the overall image of the catering in...

AI Technical Summary

Problems solved by technology

[0003] At present, the limitations of smart dining systems on the market are relatively high, and the research hotspots are concentrated on several aspects such as unattended ordering, fast checkout and smart queues, but customers spend a lot of time looking for free dining places or queuing for numbers. It has not been improved, and more customers usually have a purpose when choosing a dining place, so they would rather choose to wait than to choose a restaurant with fewer people. It will be full of customers waiting for the dining table, but there are also some restaurants with empty dining seats, which not only wastes the time of the customers but also wastes public resources

The long wait will also affect the dining mood of customers, and even cause the loss of customers

During the peak dining period, customers who are not very purposeful often need to spend a lot of time looking for an ideal dining location

In addition, the dining recommendation function of software currently on the market is not very targeted, and there is generally a phenomenon of "unreasonable" recommendation. Dining customers need to spend a lot of time looking for favorite dining places and dishes.

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