KR20220036163A - Apparatus and method for food order through order analysis - Google Patents

Abstract

A food ordering device and method through order analysis are disclosed. The food ordering method through order analysis involves collecting order information generated according to customers' food orders for each customer to build an order information database. Using the constructed database, ordering patterns for each customer are calculated to determine the ordering tendency for each customer. It includes the step of analyzing and using the results of the analysis to calculate a customized menu for the customer, and providing the calculated customized menu to the customer when ordering.

Description

Apparatus and method for food order through order analysis}

The present invention relates to a food ordering device and method through order analysis.

Generally, when visiting a restaurant and ordering food, the customer orders the food from the clerk and pays for the food. When the food ordered by the customer is ready, food order management is managed by calling the customer through an electronic display or pager. there is. This method has the inconvenience of having to wait a considerable amount of time to receive the ordered food if the food ordered by the customer takes a long time to be cooked or if there are many other customers who have visited first, such as during lunch time.

So, recently, as the use of smartphones has become widespread and smartphone applications have become widely used, the method of ordering food using a smartphone first before visiting a restaurant or ordering food delivery using a smartphone is being used. method is being used.

However, ordering using a smartphone can be somewhat cumbersome and inconvenient because you have to install various ordering applications, go through several procedures, and check various menus one by one before ordering. In particular, it can be a very difficult task for users who are not good at using smartphones.

The present invention is intended to provide a food ordering device and method through order analysis that analyzes customer ordering tendencies using order information for each customer, provides customized menus for customers, and predicts the amount of food prepared per day.

According to one aspect of the present invention, a food ordering method is disclosed through order analysis performed by a food ordering device that receives a food order through a customer's user terminal.

The food ordering method through order analysis according to an embodiment of the present invention includes the steps of collecting order information generated according to customers' food orders for each customer to build an order information database, and ordering each customer using the constructed database. It includes the steps of analyzing ordering tendencies for each customer by calculating a pattern, calculating a customer-customized menu using the results of the analysis, and providing the calculated customer-customized menu to the customer when ordering.

The step of analyzing the ordering tendency for each customer includes calculating the ordering pattern by deriving a preset number of top preferred foods by season, weather, or day of the week using the order information database organized by date, and In the step of providing the calculated customized menu to the customer when ordering, the list of the top preferred foods is transmitted to the customer's user terminal.

The food ordering method through the order analysis further includes the step of predicting the daily food preparation amount using the results of the analysis, and providing the daily food preparation amount prediction information generated through the prediction to the manager of the food store. .

In the step of analyzing the ordering tendency for each customer, a list of foods sold by day of the week is derived using the order information database organized by date, and from the derived food list by day of the week, food sold above a preset standard quantity for each day of the week is calculated. The step of calculating a list of food for sale by day of the week and providing the daily food preparation amount prediction information to the manager of the food store includes providing the calculated list of food for sale by day of the week as the daily food preparation amount prediction information to the manager of the food store. do.

The food ordering method through the order analysis includes the steps of providing a customized menu to the customer including self-cooked food as a recommended food when a customer orders food, receiving an order for the self-cooked food and processing sales, and the user It further includes providing a cooking guide video for the self-cooked food to a customer who has ordered the self-cooked food through the terminal.

According to another aspect of the present invention, a food ordering device through order analysis that receives food orders through a customer's user terminal is disclosed.

A food ordering device through order analysis according to an embodiment of the present invention includes a memory for storing commands and a processor for executing the commands, wherein the commands collect order information generated according to customers' food orders for each customer. Constructing an order information database, calculating order patterns for each customer using the constructed database, analyzing order tendencies for each customer, and calculating a customized menu using the results of the analysis, A food ordering method is performed through order analysis, which includes providing the calculated customer-customized menu to the customer when ordering.

The food ordering device and method through order analysis according to an embodiment of the present invention provides a customized menu by analyzing the ordering tendency of the customer using order information for each customer, and predicts the amount of food prepared per day to order the customer. It simplifies and allows food stores to purchase food ingredients efficiently and reduce costs.

1 is a diagram schematically illustrating a system environment in which a food ordering method through order analysis according to an embodiment of the present invention can be implemented.
Figure 2 is a flowchart showing a method of ordering food through order analysis according to an embodiment of the present invention.
Figure 3 is a flow chart showing a method of ordering food through order analysis according to another embodiment of the present invention.
Figure 4 is a diagram schematically illustrating the configuration of a food ordering device through order analysis according to an embodiment of the present invention.

As used herein, singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “consists of” or “comprises” should not be construed as necessarily including all of the various components or steps described in the specification, and some of the components or steps may be included in the specification. It may not be included, or it should be interpreted as including additional components or steps. In addition, terms such as "... unit" and "module" used in the specification refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or as a combination of hardware and software. .

Hereinafter, various embodiments of the present invention will be described in detail with reference to the attached drawings.

Figure 1 is a diagram schematically illustrating a system environment in which a food ordering method through order analysis according to an embodiment of the present invention can be implemented.

Referring to Figure 1, the food ordering device 100 through order analysis according to an embodiment of the present invention may be connected to a plurality of user terminals 200 that transmit and receive various data through a network.

Here, the user terminal 200 is a device of a customer who wants to order food, and may be, for example, a smartphone with a customer food ordering application installed.

In addition, the food ordering device 100 through order analysis according to an embodiment of the present invention can be implemented through a network-connectable server. This server can be linked to a store terminal installed in a food store for management of the food store.

For example, the server is installed at a specific food store and performs the function of managing the user's orders for that food store, or registers various food stores and manages the user's orders for the registered food stores. It can be performed and may be configured to include a food ordering device 100 through order analysis according to an embodiment of the present invention.

In this specification, a server is a computing device that performs a food ordering method through order analysis according to an embodiment of the present invention, and may be one or two or more physical entities. When a server is divided into multiple physical entities and implemented, the management entity of each physical entity may be different. The server may include a database, which refers to a functional and structural combination of software and hardware that stores information corresponding to each database. The database may be implemented with at least one table, and the information stored in the database may be searched, stored, and It may also include a separate DBMS (Database Management System) for management. Additionally, it can be implemented in various ways, such as in the form of a linked-list, tree, or relational database, and includes all data storage media and data structures that can store information corresponding to the database.

The food ordering device 100 through order analysis according to an embodiment of the present invention builds a database by collecting order information for each customer according to the food orders of a large number of customers, and uses the constructed database to Calculate the order pattern, analyze the customer's ordering tendency from the calculated order pattern, and use the analysis results to create a customized menu and provide it to the customer when ordering.

Additionally, the food ordering device 100 can predict the amount of food prepared per day using the analysis results and provide the prediction to the manager of the food store. Through this, it is possible for food stores to purchase food ingredients appropriately and prepare food according to the predicted daily food preparation amount.

Meanwhile, the food ordering device 100 provides food cooking guide videos for self-cooking food being sold to customers who purchase self-cooking food through the user terminal 200, allowing the customer to cook the food themselves. .

The method of ordering food through order analysis performed by the food ordering device 100 through order analysis according to an embodiment of the present invention will be described in detail later with reference to FIGS. 2 and 3.

Figure 2 is a flowchart showing a method of ordering food through order analysis according to an embodiment of the present invention.

In step S210, the food ordering device 100 collects order information generated according to customers' food orders for each customer and builds an order information database.

For example, the food ordering device 100 may construct an order information database by organizing the collected order information for each customer by date.

In step S220, the food ordering device 100 analyzes the customer's ordering tendency by calculating the customer's ordering pattern using the constructed database.

For example, the food ordering device 100 uses an order information database organized by date to derive a preset number of top preferred foods by season, weather, or day of the week, thereby calculating the customer's ordering pattern. .

In addition, the food ordering device 100 uses an order information database organized by date to derive a list of foods sold by day of the week, and from the derived food list by day of the week, a list of foods sold more than a preset standard quantity for each day of the week is generated. You can also calculate a list of foods sold by day of the week.

Additionally, the food ordering device 100 can calculate information on the quantity of food ingredients used in the sold foods from the calculated list of foods sold for each day of the week. To this end, the food ordering device 100 may store recipe information for each food including ingredient information.

In step S230, the food ordering device 100 calculates a customer-customized menu using the customer's ordering tendency analysis results, and provides the calculated customer-customized menu to the customer when ordering.

For example, the food ordering device 100 may transmit a list of a preset number of top preferred foods to the user terminal 200 of the customer. The user terminal 200, which has received the list of top preferred foods, can output it at the top of the screen or in the form of a pop-up so that customers can easily check it.

In step S240, the food ordering device 100 predicts the daily food preparation amount using the customer's ordering tendency analysis result, and provides the daily food preparation amount prediction information generated through the prediction to the manager of the food store.

For example, the food ordering device 100 may provide the calculated list of foods sold by day of the week as predicted information on the amount of food prepared per day to the manager of the food store, and the food ingredients used in the sold foods calculated from the list of foods sold by day of the week. Quantity information can also be provided to the manager of the food store.

Figure 3 is a flowchart showing a method of ordering food through order analysis according to another embodiment of the present invention.

In step S310, the food ordering device 100 provides a customized menu including self-cooked food as a recommended food when the customer orders food.

For example, a food store may sell some menu items, such as popular menu items, as self-cooking meals. In other words, self-cooked food can be produced in the form of a semi-finished product containing food ingredients.

In step S320, the food ordering device 100 receives an order for self-cooked food from a customer through the user terminal 200 and processes the order.

That is, the customer can order and purchase the self-cooked food using the food ordering device 100 by checking the provided customer-customized menu and selecting the self-cooked food.

In step S330, the food ordering device 100 provides a food cooking guide video for the self-cooked food to the customer who ordered the self-cooked food through the user terminal 200.

Figure 4 is a diagram schematically illustrating the configuration of a food ordering device through order analysis according to an embodiment of the present invention.

Referring to Figure 4, the food ordering device 100 through order analysis according to an embodiment of the present invention includes a processor 110, a memory 120, a communication unit 130, and an interface unit 140.

The processor 110 may be a CPU or a semiconductor device that executes processing instructions stored in the memory 120.

Memory 120 may include various types of volatile or non-volatile storage media. For example, memory 120 may include ROM, RAM, etc.

For example, the memory 120 may store commands for performing a food ordering method through order analysis according to an embodiment of the present invention.

The communication unit 130 is a means for transmitting and receiving data with other devices through a communication network.

The interface unit 140 may include a network interface and a user interface for accessing a network.

Meanwhile, the components of the above-described embodiment can be easily understood from a process perspective. In other words, each component can be understood as a separate process. Additionally, the processes of the above-described embodiments can be easily understood from the perspective of the components of the device.

Additionally, the technical contents described above may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiments or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. A hardware device may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

The above-described embodiments of the present invention have been disclosed for illustrative purposes, and those skilled in the art will be able to make various modifications, changes, and additions within the spirit and scope of the present invention, and such modifications, changes, and additions will be possible. should be regarded as falling within the scope of the patent claims below.

100: Food ordering device
110: processor
120: memory
130: Department of Communications
140: Interface unit
200: user terminal

Claims (6)

In the food ordering method through order analysis performed by a food ordering device that receives food orders through the customer's user terminal,
Building an order information database by collecting order information generated according to customers' food orders for each customer;
Analyzing order tendencies for each customer by calculating an order pattern for each customer using the constructed database; and
A food ordering method through order analysis comprising calculating a customer-customized menu using the results of the analysis and providing the calculated customer-customized menu to the customer when ordering.
According to paragraph 1,
The step of analyzing the ordering tendency for each customer is,
Using the order information database organized by date, the order pattern is calculated by deriving a preset number of top preferred foods by season, weather, or day of the week,
The step of providing the calculated customized menu to the customer when ordering,
A food ordering method through order analysis, characterized in that the list of top preferred foods is transmitted to the customer's user terminal.
According to paragraph 1,
The method of ordering food through the above order analysis is:
Food ordering through order analysis, further comprising predicting the daily food preparation amount using the results of the analysis, and providing the daily food preparation amount prediction information generated through the prediction to the manager of the food store. method.
According to paragraph 3,
The step of analyzing the ordering tendency for each customer is,
Using the order information database organized by date, a list of foods sold by day of the week is derived, and from the derived food list by day of the week, a list of foods sold by day is calculated, which consists of foods sold more than a preset standard quantity for each day of the week,
The step of providing the daily food preparation amount prediction information to the manager of the food store is,
A food ordering method through order analysis, characterized in that the calculated list of foods sold by day of the week is provided to a manager of a food store as prediction information on the daily food preparation amount.
According to paragraph 1,
The method of ordering food through the above order analysis is:
When a customer orders food, providing a customized menu including self-cooked food as recommended food;
Receiving orders for the self-cooked food and processing sales; and
A food ordering method through order analysis, further comprising providing a food cooking guide video of the self-cooked food to a customer who has ordered the self-cooked food through the user terminal.
In the food ordering device through order analysis that receives food orders through the customer's user terminal,
Memory for storing instructions; and
Including a processor that executes the instructions,
The command is:
Building an order information database by collecting order information generated according to customers' food orders for each customer;
Analyzing order tendencies for each customer by calculating an order pattern for each customer using the constructed database; and
Food through order analysis, characterized in that performing a food ordering method through order analysis, which includes calculating a customer-customized menu using the results of the analysis, and providing the calculated customer-customized menu to the customer when ordering. Order device.

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