KR20210155522A - Ordering methods and devices - Google Patents

Abstract

Disclosed are an order method and a device thereof. According to an embodiment of the present invention, the order method comprises the steps of: receiving an input of customer information including at least one of gender, age, number of people, and table number; inputting the customer information into a pre-trained neural network to generate a customized order interface corresponding to the customer information; generating an identification code including the customer information and customized order interface information; receiving an input of order information on the basis of the customized order interface implemented in a customer terminal through recognition of the identification code; providing the customer terminal with an interface for recommending a menu having a predetermined relationship with the order information on the basis of the order information; and providing the customer terminal with customized content on the basis of the customer information. Therefore, a customized order interface can be provided.

Description

ORDERING METHODS AND DEVICES

The following embodiments relate to an ordering method and apparatus, and specifically, to a method and apparatus for generating an identification code based on customer information, and providing a customized order interface to a customer through recognition of the identification code.

A typical order form of the store-type service industry represented by the restaurant business is a method in which a customer or a plurality of customers sit at a table provided in the store and then call an employee or the customer directly goes to the counter and delivers the order. However, it is always possible to receive orders through training, and when there are several customers, employees have to memorize multiple orders, and it is not easy to respond quickly during certain hours, such as lunchtime, when customers are crowded. There is this.

In recent years, with the development of information and communication technologies such as smartphones, a technology for processing orders through communication with a customer's smartphone has emerged. However, the prior art has no choice but to provide the same ordering interface to all customers. As a result, there may be a problem of receiving orders from customers who do not satisfy the conditions for products that can be sold only to customers who satisfy certain conditions, for example, alcoholic beverages.

Embodiments are to generate an identification code based on customer information, and to provide a customized order interface to the customer through recognition of the identification code.

Embodiments intend to provide customer-customized content at a waiting time according to the recognized identification code.

Embodiments are intended to provide an ordering interface that can be shared by a plurality of users.

The ordering method according to an embodiment includes: receiving input of customer information including at least one of gender, age, number of people, and table number; inputting the customer information into a pre-trained neural network to generate a customer-customized order interface corresponding to the customer information; generating an identification code including the customer information and the customer customized order interface information; Receiving an input of order information based on the customer-customized order interface implemented in the customer terminal through the identification code recognition; providing an interface for recommending a menu having a predetermined relationship with the order information to the customer terminal based on the order information; and providing, based on the customer information, customized content to the customer terminal.

The ordering method according to an embodiment may further include providing the customer-customized order interface to another customer terminal that is distinguished from the customer terminal that has recognized the identification code.

The ordering method according to an embodiment may include, through the customer-customized ordering interface, receiving an input of first order information corresponding to at least one of a plurality of items for specifying overall order information; receiving a share request for order information of at least a portion of the entire order information through the customer customized order interface; generating an order information sharing message enabling input of second order information distinct from the first order information among the entire order information; and transmitting the order information sharing message to another customer terminal distinguished from the customer terminal.

The generating of the custom order interface may include: determining a menu list based on the customer information; and determining at least one of an order and a shape of menus included in the menu list, based on the customer information.

The ordering method according to an embodiment includes transmitting the order information to a seller terminal; and providing a review writing interface to the customer terminal.

The step of providing the customized content to the customer terminal may include: receiving an input of waiting time information from a seller terminal; and determining the type and number of the customer-customized content based on the waiting time information and the customer information, wherein the customer-customized content may include at least one of an advertisement image, a survey, and an event.

The server according to an embodiment receives customer information including at least one of gender, age, number of people, and table number, and inputs the customer information into a pre-trained neural network to provide a customized order interface for customers corresponding to the customer information. generating, generating an identification code including the customer information and the customer customized order interface information, receiving the input of order information based on the customer customized order interface implemented in the customer terminal through the identification code recognition, the and a processor that provides an interface for recommending a menu having a predetermined relationship with the order information to the customer terminal based on the order information, and provides customized content to the customer terminal based on the customer information.

Embodiments may generate an identification code based on customer information, and provide a customized order interface to the customer through recognition of the identification code.

Embodiments may provide customer-customized content at a waiting time according to the recognized identification code.

Embodiments may provide an ordering interface that may be shared by multiple users.

1 is a view for explaining an order system according to an embodiment.
2A to 2B are diagrams for explaining a method of generating an identification code using a seller terminal according to an embodiment.
3 is an example of an identification code menu board including an identification code according to an embodiment.
4 to 7 are examples of a custom order interface according to an embodiment.
8 is an example of a review writing interface and a review viewing interface according to an embodiment.
9 is a flowchart illustrating a method of sharing order information according to an embodiment.

Specific structural or functional descriptions disclosed in this specification are merely illustrative for the purpose of describing embodiments according to technical concepts, and the embodiments may be embodied in various other forms and are limited to the embodiments described herein. doesn't happen

Terms such as first or second may be used to describe various elements, but these terms should be understood only for the purpose of distinguishing one element from another element. For example, a first component may be termed a second component, and similarly, a second component may also be termed a first component.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle. Expressions describing the relationship between elements, for example, "between" and "between" or "neighboring to" and "directly adjacent to", etc. should be interpreted similarly.

The singular expression includes the plural expression unless the context clearly dictates otherwise. In this specification, terms such as "comprises" or "have" are intended to designate that the specified features, numbers, steps, operations, components, parts, or combinations thereof exist, and include one or more other features or numbers, It should be understood that the possibility of the presence or addition of steps, operations, components, parts or combinations thereof is not precluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present specification. does not

The embodiments may be implemented in various types of products, such as personal computers, laptop computers, tablet computers, smart phones, televisions, smart home appliances, intelligent cars, kiosks, wearable devices, and the like. Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. Like reference numerals in each figure indicate like elements.

1 is a view for explaining an order system according to an embodiment. Referring to FIG. 1 , an order system according to an embodiment may include a customer terminal 110 , a server 120 , and a seller terminal 130 as subjects. However, since the ordering system of FIG. 1 is only an embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 .

At this time, each component of FIG. 1 may be generally connected through a network. For example, as shown in FIG. 1 , the customer terminal 110 may be connected to the server 120 and the seller terminal 130 through a network.

Here, the network refers to a connection structure in which information exchange is possible between each node, such as a plurality of terminals and servers, and examples of such networks include RF, 3rd Generation Partnership Project (3GPP) network, and Long Term (LTE). Evolution) network, 5th Generation Partnership Project (5GPP) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network) , PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. include, but are not limited thereto.

In the following, the term at least one is defined as a term including the singular and the plural, and even if the at least one term does not exist, each element may exist in the singular or plural, and may mean the singular or plural. it will be self-evident In addition, that each component is provided in singular or plural may be changed according to embodiments.

The customer terminal 110 according to an embodiment is a device used by customers of a store-type service business represented by the restaurant business, and for example, a smartphone owned by each customer corresponds to the customer terminal 110 . can The customer terminal 110 is a device that receives a predetermined command from the customer and drives an operation corresponding thereto, and may be a digital device including a wired/wireless communication function or other functions. According to an embodiment, the customer terminal 110 includes a memory means such as a tablet PC, a smartphone, a personal computer (eg, a notebook computer, etc.), a smart TV, a mobile phone, a navigation system, a web pad, a PDA, a workstation, and the like. It may be a concept including all digital devices equipped with a microprocessor and equipped with a computing power.

The customer can read the network address (eg, Uniform Resource Locator (URL)) corresponding to the identification code by recognizing the identification code using the camera of the smartphone after sitting at the table in the store.

The server 120 according to an embodiment performs a function that the customer terminal 110 can access using a network address read through identification code recognition, for example, a URL. For example, the server 120 may be implemented in the form of a web server or an application service server that can be accessed using a URL.

The seller terminal 130 may be a terminal for use by a seller of a store. The seller may receive order information of the customer corresponding to the customer terminal 110 by communicating with the server 120 through the seller terminal 130 , and may prepare a service corresponding to the order. The seller terminal 130 is a server 120 through a dedicated application (or app) installed on the web or the seller terminal 130 separately from the point-of-sale (POS) system of the store. ) can be any computing device capable of communicating with Alternatively, the seller terminal 130 itself may be implemented as a part of the POS system of the store, so that the POS system of the store may communicate with the server 120 .

Furthermore, in another embodiment, the server 120 may be implemented as a part of a POS system of a store or another system in a store without a separate seller terminal 130 . In this case, a process involving communication between the server 120 and the seller terminal 130 such as the server 120 transmitting the order details to the seller terminal 130 may be omitted.

In step 101 , the server 120 may receive input of customer information including at least one of gender, age, number of people, and table number from the seller terminal 130 . For example, when a customer is seated at a table, the seller may input gender, age, number of people, table number, regularity, child presence, etc. through the seller terminal 130 .

In step 102 , the server 120 may generate an identification code based on the customer information. The identification code means a code that can store information such as a URL and can be recognized by the user terminal 110 . The identification code may include, for example, a QR code in which a two-dimensional code having a shape corresponding to information such as a URL is printed on paper or other suitable medium. Illustratively, an employee working within the merchant may deliver a QR code printed on an appropriate medium to the customer. As another embodiment, the employee may transmit the generated QR code to the customer through a pre-specified application.

More specifically, the server 120 may generate a custom order interface for a customer corresponding to the customer information by inputting the customer information into the pre-trained neural network. For example, the server 120 provides an order interface in which a liquor menu is prioritized for male customers in their 20s, an order interface in which a high-quality snack menu is prioritized for female customers in their 30s, and alcoholic beverages for minor customers. You can create an order interface with the menu removed.

The neural network may include an input layer, an output layer, and optionally one or more hidden layers. Each layer includes one or more neurons, and the neural network may include neurons and synapses connecting neurons. In a neural network, each neuron may output a function value of an activation function for input signals inputted through a synapse, a weight, and a bias. The model parameter refers to a parameter determined through learning, and may include a weight of a synaptic connection and a bias of a neuron. In addition, the hyperparameter refers to a parameter to be set before learning in a machine learning algorithm, and may include a learning rate, the number of iterations, a mini-batch size, an initialization function, and the like.

The purpose of training a neural network can be seen as determining the model parameters that minimize the loss function. The loss function may be used as an index for determining the optimal model parameter in the learning process of the neural network.

A plurality of nodes included in the input layer of the neural network may receive input data. Through operation on a plurality of layers included in the hidden layer, the output layer may output first output candidates corresponding to input data. The neural network performs an operation to match customer information (eg, gender, age, number of people, regular or not, children) and preference information (eg, preference menu corresponding to specific customer information) included in the input data. can do. In order to increase the accuracy of the output data output through the neural network, learning may be performed from the output layer to the input layer, and weight values may be modified to increase the accuracy of the output data.

Furthermore, the server 120 may generate customer information and customer-customized order interface information, for example, an identification code in which a URL to which a customer-customized order interface is provided is stored.

Although not shown, according to an embodiment, the server 120 may transmit the generated identification code to the seller terminal 130 , and the seller may output the identification code through the seller terminal 130 . For example, a seller can print a QR code from a POS system and deliver it to a customer. According to another embodiment, the server 120 may transmit the generated identification code to the electronic device disposed in each table. According to another embodiment, the server 120 may transmit the generated identification code to the customer terminal (130).

In step 103 , the server 120 may receive the order information input from the customer terminal 110 through identification code recognition. The customer may recognize the identification code by using the customer terminal 110 , and through this, may acquire customer information and a network address to which a customer-customized order interface is provided. Furthermore, the customer may input order information through a customer-customized order interface.

Although not shown, according to an embodiment, the server 120 may provide an interface for recommending a menu having a predetermined relationship with the order information to the customer terminal 110 based on the order information. For example, the server 120 may provide, to the customer terminal 110 , an interface for recommending a 'cool piece' menu to a customer who has ordered a 'buldak' menu. The predetermined relationship may be learned based on the payment data.

In step 104 , the server 120 may transmit order information to the seller terminal 130 . The delivery of the order information to the seller terminal 130 may refer to, for example, an operation of registering the order information in the POS system or displaying the order information on a display device so that the store owner or employees can recognize it. The seller may output the kitchen order form and the customer order form through the seller terminal 130 .

In step 105 , the server 120 may provide customized content to the customer terminal 110 . The server 120 may provide content suitable for a corresponding customer based on customer information. The customer-customized content may include at least one of an advertisement image, a survey, and an event.

Although not shown, the server 120 may receive the input of waiting time information from the seller terminal. The waiting time information relates to the estimated time it takes for the food ordered by the customer to come out, and the seller receiving the order information may input it through the seller terminal 130 .

Upon receiving the input of the waiting time information, the server 120 may determine the type and number of customized contents based on the waiting time information and the customer information. For example, the server 120 may determine one or more contents suitable for age and gender based on customer information without exceeding the waiting time.

In step 106 , the server 120 may provide a review writing interface to the customer terminal 110 . For example, the server 120 may provide a review writing interface for leaving a review as a notification to a customer who has completed payment. The review writing interface may use the same URL as the custom order interface, or it may use a separate URL.

2A to 2B are diagrams for explaining a method of generating an identification code using a seller terminal according to an embodiment. Since the description of FIG. 1 is also applicable to FIGS. 2A to 2B , a description of overlapping content will be omitted.

Referring to FIG. 2A , the seller terminal according to an embodiment may communicate with the server through a POS system or a dedicated application installed in the seller terminal.

The seller terminal according to an embodiment may display the order interfaces 210 to 240 for each table. In response to an input for selecting a specific area of the order interfaces 210 to 240 for each table, the seller terminal may perform a function in charge of the corresponding area.

Referring to the interface 210 , the seller terminal may perform an order system providing function through generation of an identification code in response to an input for selecting the tape order area 211 .

Referring to the interfaces 220 and 230 , the seller terminal responds to an input for selecting the table area 221 corresponding to a specific table number, and provides an interface 231 for inputting customer information corresponding to the corresponding table number. can

Referring to FIG. 2B , the interface 231 for inputting customer information according to an embodiment may include a selected table number (eg, table 3 on the 1st floor) display area, number of people, gender selection area, and an output area. have. The number of people and gender selection area has a value of '0' by default, and the number increases by '1' in response to an input that selects the '+' button. Conversely, the number increases in response to an input that selects the '-' button. It can be decreased by 1'.

The customer terminal may command the identification code output in response to an input for selecting an output area. For example, the customer terminal may command output of the identification code generated through the server based on customer information to a printer (eg, a receipt printer) connected to the customer terminal in response to an input for selecting an output area.

However, a value of '0' or less cannot be displayed in the number of people and gender selection area, and when all item values are '0', the output area is deactivated and the corresponding function may not be performed even if the output area is selected. The interface 231 for inputting customer information is exemplary, and the interface for inputting customer information may be implemented in various other forms and is not limited to the embodiments described herein.

Referring back to FIG. 2A , the seller terminal may display the current state of the corresponding table through the area 241 of the interface 240 . For example, after delivery of the identification code, before the customer places an order, the phrase "You are ordering with the QR code" can be displayed, and after the customer completes the order, the order details and amount can be displayed.

3 is an example of an identification code menu board including an identification code according to an embodiment. Referring to FIG. 3 , the seller may deliver the identification code menu board 310 including the identification code to the customer. The identification code menu board 310 may include a table number, number of people, identification code, identification code information, and output date and time information.

The customer receiving the identification code menu board 310 recognizes the identification code using a customer terminal (eg, a camera of a smartphone), and thus a network address (eg, Uniform Resource Locator (URL)) corresponding to the identification code. ) can be read. The customer can place an order based on the custom order interface corresponding to the network address corresponding to the identification code. Hereinafter, a customer-customized order interface will be described in detail with reference to FIGS. 4 to 7 .

4 to 7 are examples of a custom order interface according to an embodiment. Referring to FIG. 4 , when the customer terminal according to an embodiment recognizes the identification code, the start screen 410 is displayed for a predetermined time (eg, 2 seconds), and then the main screen 420 is displayed. can

The main screen 420 may include a category area 421 , a detailed menu area 422 , an ordering area 423 , and a three-line menu area 424 . In response to an input for selecting the category area 421 , the customer terminal may display a list of menus belonging to the corresponding category through the detailed menu area 422 .

The order interface according to an embodiment is a custom order interface, and contents of the category area 421 and the detailed menu area 422 may be different according to customer information. For example, the server can use a pre-trained neural network to determine that male customers in their 20s have a higher rate of ordering 'soju' compared to other customers, and based on the judgment result, the server can determine that 'in the case of male customers in their 20s' The 'alcohol' category may be preferentially disposed in the category area 421 , and 'shochu' may be preferentially disposed in the detailed menu area 422 in the 'alcohol' category as well.

Alternatively, although not shown, the order interface may further include a call bell area for more conveniently ordering frequently ordered menus, and menus displayed on the call bell area may be arranged differently according to customer information.

After selecting the menu, the customer may select the ordering area 423 to order the corresponding menu. In response to an input for selecting the three-line menu area 424 , the customer terminal may display an order history view area, a content area, a store review view area, and the like.

Referring to FIG. 5 , the customer terminal according to an embodiment may display an order history screen 510 in response to an input for selecting an order history viewing area. The order history screen 510 may include an order form 511 . The order book 511 may display menus ordered through the customer's selection of the placing an order area 423 and information on the expected payment amount.

The customer may place an additional order, and from the time of the additional order, the order form may be displayed separately. The order history screen 520 may display an order book 521 corresponding to a conventional order and an order book 522 corresponding to an additional order. Furthermore, the order history screen 520 may display the total payment amount including the payment scheduled amount according to the additional order.

Referring to FIG. 6 , when the customer selects the order history view area of the three-line menu area 424 without ordering anything, the customer terminal may display a screen 610 . The screen 610 may include a recommended menu view area and a full menu view area. In response to an input for selecting a recommendation menu viewing area, the customer terminal may provide a customized recommendation menu determined based on customer information.

Referring to FIG. 7 , the customer terminal may display a menu selection screen in response to an input for selecting the three-line menu area 424 . The customer terminal may display the menu selection screen 710 in response to an input for selecting the three-line menu area 424 on the main screen 420, and display the three-line menu area 424 on the order history screens 510 and 520. In response to a selection input, the menu selection screen 710 may be displayed. The menu selection screen 710 may include an order history view area, an advertisement view area suitable for me, and a review view area for our store, and the menu selection screen 720 includes an area for placing an order, an advertisement view area suitable for me, and view our store review. It may include areas.

The interfaces and screens of FIGS. 4 to 7 are exemplary, and the custom order interface may be implemented in various other forms and is not limited to the embodiments described herein.

8 is an example of a review writing interface and a review viewing interface according to an embodiment. When payment is completed, the server according to an embodiment may provide a review writing interface 810 to the customer terminal. Customers can write reviews using the review writing interface.

The customer terminal may display the review view interface 820 in response to an input for selecting the our store review view area of the three-line menu area 424 . The server may display customer information and an order menu corresponding to each review together through the review view interface 820 . Because customer information and order menus are displayed together in the review, customers can help with menu selection.

In addition, the server may further train the neural network based on customer information and order menus and corresponding reviews. For example, the server may use the preference between the corresponding customer and the order menu as training data based on customer information and star points of the order menu and the review. Furthermore, the review view interface 820 may add a device for evaluating each review (eg, a like button), and may consider each review evaluation score when using the review as learning data. For example, reviews with good ratings can be judged to be more reliable, so they can learn to have greater weight. This allows the server to continuously improve its customer-specific ordering interface.

9 is a flowchart illustrating a method of sharing order information according to an embodiment. Since the ordering system according to an embodiment uses an identification code, a plurality of customers may place an order at the same time as long as the identification code can be recognized, and a customized ordering interface may be shared. However, when some of the customers are in a situation where the identification code cannot be recognized, for example, if they have not yet arrived at the store, there may be inconvenience in ordering from the menu. In order to solve this problem, the order system according to an embodiment allows the second customer to transfer the remaining order information through the second customer terminal while the first customer inputs a part of the entire order information for the order through the first customer terminal. An input operation may be enabled.

In operation 910 , the server may receive an input of first order information corresponding to at least one item among a plurality of items for specifying the entire order information through the custom order interface.

In operation 920 , the server may receive a sharing request for at least a portion of order information among all order information through a customer-customized order interface.

In step 930 , the server may generate an order information sharing message that enables input of second order information distinguished from the first order information among all order information.

In step 940 , the server may transmit an order information sharing message to another customer terminal that is distinguished from the customer terminal.

The embodiments described above may be implemented by a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, the apparatus, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA) array), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium 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 floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

As described above, although the embodiments have been described with reference to the limited drawings, those skilled in the art may apply various technical modifications and variations based on the above. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (5)

receiving input of customer information including at least one of gender, age, number of people, and table number;
inputting the customer information into a pre-trained neural network, and generating a customer-customized order interface corresponding to the customer information;
generating an identification code including the customer information and the customer customized order interface information;
Receiving an input of order information based on the customer-customized order interface implemented in the customer terminal through the identification code recognition;
providing, to the customer terminal, an interface for recommending a menu having a predetermined relationship with the order information, based on the order information; and
Based on the customer information, providing customer-customized content to the customer terminal
How to order, including.
According to claim 1,
providing the customer-customized order interface to another customer terminal that is distinguished from the customer terminal that has recognized the identification code
An order method that further includes.
3. The method of claim 2,
receiving, through the customer customized order interface, input of first order information corresponding to at least one item among a plurality of items for specifying overall order information;
receiving a share request for order information of at least a portion of the entire order information through the customer customized order interface;
generating an order information sharing message that enables input of second order information distinct from the first order information among the entire order information; and
Transmitting the order information sharing message to another customer terminal distinguished from the customer terminal
An order method that further includes.
4. The method of claim 3,
The step of creating the customer-customized order interface is
determining a menu list based on the customer information; and
determining at least one of an order and a shape of menus included in the menu list based on the customer information
Including, how to order.
5. The method of claim 4,
The step of providing the customer-customized content to the customer terminal is
Receiving an input of waiting time information from the seller terminal; and
Determining the type and number of the customer-customized content based on the waiting time information and the customer information
including,
The customer-customized content is
An order method comprising at least one of an advertisement video, a survey, and an event.

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