Method for quickly retrieving restaurant reservations through third-party platform

Abstract

The invention provides a method for quickly retrieving restaurant reservations through a third-party platform and relates to the technical field of dinning. The problems that an existing reservation mode of a restaurant is single, dining table resources can not be fully used, supervision and restraint mechanisms are lacked, and the restaurant unavoidably provides false data for attracting more clients are solved. A platform service end, a user end and a restaurant service end are included. The platform service end includes a data management module, an order management module and a reputation management module. The user end includes a platform display module, an order generation module, an execution confirmation order module and a restaurant evaluation module. The restaurant service end includes an order receiving and processing module, an order feedback module and a user evaluation module. According to the dining method of the invention, a time-scheduled reservation queuing mode is used at the peak of meal, a diner can know the people flow and queuing situations of each time period of a target restaurant in advance and choose a relatively reasonable time period to eat in advance according to the condition of the diner, and the waste of time in queuing is avoided.

Description

technical field [0001] The invention relates to the technical field of catering, in particular to a high-efficiency restaurant ordering system. Background technique [0002] At present, the general behavior pattern of regular diners dining in restaurants is as follows: [0003] 1. The diner chooses the restaurant; [0004] 2. When diners arrive at the restaurant, if there are few people, they will directly enter the restaurant to eat; if there are many people, they need to wait in line; [0005] 3. Choose a seat after entering the restaurant; [0006] 4. Find the waiter to order the menu, read the menu, if there is a suitable dish to eat, if there is no suitable dish, leave the store and continue looking; [0007] 5. The waiter registers the dishes and checks the ordered dishes with the customers; [0008] 6. The waiter informs the back kitchen to prepare the dishes, and the diners wait at the table for the dishes to be served; [0009] 7. After the kitchen prepares the...

AI Technical Summary

Problems solved by technology

[0004] 2. When diners arrive at the restaurant, if there are few people, they will directly enter the restaurant to eat; if there are many people, they need to wait in line;

[0012] 1. Most of the diners choose which restaurant to eat in to see whether the recipes and dishes meet their own tastes, but they can only go to the store to see the dishes, which is inconvenient

[0013] 2. Before the diners arrive at the restaurant, they cannot predict the number of diners and the number of people waiting in the restaurant

[0014] 3. After the diners arrive at the restaurant, if there are many people, they need to wait in line, or need to re-select the restaurant, resulting in a waste of time

[0015] 4. The diners go to the restaurant to read the menu and choose the dishes to order. This process needs to consume the time of both the diners and the restaurant operator.

[0016] 5. Diners wait for the food to be served after ordering at the restaurant, which is a waste of time

[0017] 6. Diners wait for a long time during the dining process, which also affects other diners.

[0018] 7. Diners spend time queuing up, ordering food, and waiting for food to be served. There are a large number of people in China dining in restaurants. The above-mentioned traditional ordering mode is inefficient and wastes social resources.

[0021] 1. Diners call to make a reservation because they cannot see the menu, so they can only reserve a place, and usually cannot order the dishes;

[0022] 2. Because there is no evaluation system for the reputation of the orderer, the restaurant has no way of knowing the reputation of the orderer. If the diner does not come, it will easily cause losses to the restaurant;

[0024] 4. After the orderer has booked a table, if the restaurant does not reserve a table when arriving at the store, the orderer does not have an evaluation platform to restrict the restaurant

[0025] 5. In addition, during the peak dining period, restaurants usually do not accept reservations, and diners can only queue up on the spot after arriving at the restaurant

In this scheme, the information displayed on the sharing platform is unilaterally uploaded and shared by the restaurant itself, and there is no supervision and restraint mechanism. It is inevitable that restaurants will provide false data for soliciting customers, and the beautified data may even be faked.

[0029] 2. Compatibility of queuing data sharing. In this scheme, each restaurant is equipped with its own queuing system, and then uploads and shares the queuing data to the platform. Due to the programming method, program version, data interface, queuing rules, and seat of each restaurant's queuing system The logic of the distribution method is difficult to standardize and unify, so data sharing is difficult, which is not conducive to simple and clear choices for users

[0030] 3. The operability of the queuing method. Reservation queuing is different from queuing at the store. Each reservation queuing person arrives at the store at different times. Therefore, simply queuing up customers who arrive at the store at different times in the same system is not conducive to the effective use of restaurant seats. Resources, it is difficult for the restaurant to allocate passenger flow reasonably, and give full play to the reception capacity of the restaurant

[0031] 4. The reservation method is single. This plan adopts the method of prepaid deposit. If the user feels that the actual situation of the restaurant does not match the situation displayed by the system after arriving at the store, refunding the deposit may easily cause conflicts.

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