WO2023204339A1

WO2023204339A1 - Method and electronic device for processing order information

Info

Publication number: WO2023204339A1
Application number: PCT/KR2022/006081
Authority: WO
Inventors: 이주현; 이석희; 강승희; 김현수; 이나라; 장캐서린
Original assignee: 쿠팡 주식회사
Priority date: 2022-04-19
Filing date: 2022-04-28
Publication date: 2023-10-26
Also published as: TW202343367A; KR20230149041A

Abstract

The present disclosure pertains to a technique for processing order information. The method for processing order information according to various embodiments of the present disclosure, which is a method for processing order information executed by an electronic device, may comprise: a step of obtaining new order information; a step of calculating estimated cooking time corresponding to the new order information on the basis of a data item included in the new order information; and a step of displaying the estimated cooking time.

Description

Methods and electronic devices for processing order information

This disclosure relates to technology for processing order information.

Conventional POS device users (franchise owners) often stayed on the store management screen of the POS machine to manage the store. In this case, in order to receive a delivery order, there was a problem of having to constantly check the delivery order management screen, which is separate from the store management screen. Therefore, there was a need for a method to easily receive and process delivery orders without constantly checking the delivery order management screen.

Additionally, in the past, when orders were received through multiple different delivery platforms, there was the inconvenience of having to check each delivery platform in order to process the received orders. Therefore, a method was required to integrate and manage order information received through different delivery platforms.

Furthermore, conventionally, users had no choice but to directly input the expected cooking time or expected delivery time of received orders, depending on their experience. Due to this expected cooking time or expected delivery time, which only depended on the user's experience, delivery drivers had to wait at the store to pick up the order, which resulted in unnecessary loss of time, and customers were unable to know the exact arrival time of their order. Therefore, a method for calculating the expected cooking time or expected delivery corresponding to order information was required.

This disclosure provides technology for processing order information.

An order information processing method according to various embodiments of the present disclosure includes the steps of: acquiring new order information; based on data items included in the new order information; It may include calculating an expected cooking time corresponding to order information and displaying the expected cooking time.

In one embodiment, the new order information includes customer information, delivery platform name, order type, name of the ordered food, order reception time, assignment status of the delivery driver, arrival time of the delivery driver, remaining cooking time, and processing of the order. At least one of the states may be included as a data item.

In one embodiment, the obtaining the new order information includes generating first new order information in response to a user input, and the step of displaying the expected cooking time includes the first new order information. In response to a first user input for the first data item corresponding to, it may include displaying a first expected cooking time. Here, the step of displaying the expected cooking time further includes displaying a second expected cooking time that updates the first expected cooking time in response to a second user input following the first user input, , the second user input may be a user input for a second data item that corresponds to the first new order information and is distinct from the first data item.

In one embodiment, the step of obtaining new order information includes receiving second new order information from a device external to the electronic device, and the step of displaying the expected cooking time includes responding to a user input. When the first page for generating first new order information is displayed on the display of the electronic device and the second new order information is received, the second new order information is displayed on the subpage overlaid on the first page. It may include a step of displaying the expected cooking time corresponding to the order information.

In one embodiment, the step of obtaining new order information includes receiving second new order information from a device external to the electronic device, and the step of displaying the expected cooking time includes different types of When a second page in which order information groups including two or more order information are integrated and displayed is displayed on the display of the electronic device, when receiving the second new order information, displaying the second new order information The method may include displaying an expected cooking time corresponding to the second new order information in one area of the second page.

In one embodiment, calculating the expected cooking time may include calculating the expected cooking time in response to obtaining the new order information.

In one embodiment, calculating the expected cooking time includes calculating the expected cooking time corresponding to the new order information using a cooking time calculation model built according to a machine learning algorithm, wherein The time calculation model may be a model learned by modeling the correlation between a learning data set related to a combination of data items and a cooking time set corresponding to the learning data set. Here, the data item combination may be a portion selected by allowing overlap among a plurality of food names that can be ordered, customer information, delivery platform name, order type, order reception time, delivery driver's assignment status, delivery driver's arrival time, and order It may further include at least one of the processing states. Also, here, the cooking time calculation model is a model that is updated to reduce the difference between test information and the expected cooking time corresponding to the test information, and the test information includes the reception time and cooking time of the test order information collected during the test period. This may be information calculated based on the difference in completion time. Also, here, the cooking time calculation model is based on the new order information and the duplicate food name included in the order information within the standard number obtained before acquisition of the new order information, and predicts the prediction corresponding to the duplicate food name. It may be a model that calculates the cooking time low. Furthermore, calculating the expected cooking time further includes determining an input cooking time in response to a user input to a time increase button or a time decrease button, wherein the step of determining the input cooking time includes: If the difference between the expected cooking time calculated using a cooking time calculation model and the input cooking time is greater than or equal to a threshold, the method may include deactivating the time increase button or the time decrease button.

In one embodiment, calculating the expected cooking time may include calculating an expected delivery time based on the expected cooking time and at least some of customer information, order reception time, and delivery driver assignment status. there is.

In one embodiment, displaying the expected cooking time may include highlighting and displaying the new order information when the remaining cooking time calculated based on the expected cooking time is less than or equal to a first threshold time. . Here, the step of displaying the expected cooking time further includes displaying an alarm corresponding to the new order information when the remaining cooking time calculated based on the expected cooking time is less than or equal to a second threshold time, The second critical time may be smaller than the first critical time.

In one embodiment, the step of transmitting the estimated cooking time to the customer's terminal may be further included.

In one embodiment, the method may further include transmitting the estimated cooking time to a kitchen terminal.

An electronic device according to various embodiments of the present disclosure includes a processor, a network interface, a display, a memory, and a computer program loaded into the memory and executed by the processor, wherein the computer program includes new order information It may include instructions for obtaining, instructions for calculating an expected cooking time corresponding to the new order information based on data items included in the new order information, and instructions for displaying the expected cooking time. Here, the computer program may further include instructions for transmitting the expected cooking time to the customer's terminal.

The electronic device according to the present disclosure has the effect of providing an independent work process according to the type of order information and at the same time displaying a plurality of order information in one list area, thereby increasing the user's convenience in managing order information.

The electronic device according to the present disclosure clusters a plurality of order information in different processing states according to predetermined criteria and provides the information to the user, allowing the user to easily manage the order information group.

The electronic device according to the present disclosure clusters order information ordered through different delivery platforms according to the name of each delivery platform and provides the order information to the user, allowing the user to easily manage the order information group.

The electronic device according to the present disclosure increases the user's convenience in managing order information by displaying order information that can be differently classified based on a plurality of criteria comprehensively on one screen according to a predetermined method.

The electronic device according to the present disclosure eliminates unnecessary processes required for screen switching and increases the user's convenience in managing order information.

The electronic device according to the present disclosure allows calculating an accurate expected cooking time or expected delivery time based on order information.

The electronic device according to the present disclosure increases convenience for users, delivery drivers, and customers by providing expected cooking time or expected delivery time.

FIG. 1 is a diagram illustrating a user processing order information using an electronic device according to an embodiment of the present disclosure.

Figure 2 is a diagram illustrating a system according to an embodiment of the present disclosure.

Figure 3 is a block diagram of an electronic device according to an embodiment of the present disclosure.

4A, 4B, 4C, and 4D are diagrams illustrating an on-site order page according to an embodiment of the present disclosure.

Figures 5a, 5b, 5c, 5d, and 5e are diagrams illustrating an order management page according to an embodiment of the present disclosure.

6A, 6B, and 6C are diagrams illustrating an order acceptance page according to an embodiment of the present disclosure.

Figure 7 is a diagram illustrating a settlement page according to an embodiment of the present disclosure.

8A and 8B are diagrams illustrating a cooking time calculation model according to an embodiment of the present disclosure.

FIG. 9 is an exemplary diagram illustrating an operation of calculating cooking time according to duplicate food names that may be referenced in an embodiment of the present disclosure.

10 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure.

11 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure.

12 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure.

Embodiments of the present disclosure are illustrated for the purpose of explaining the technical idea of the present disclosure. The scope of rights according to the present disclosure is not limited to the embodiments presented below or the specific description of these embodiments.

All technical terms and scientific terms used in this disclosure, unless otherwise defined, have meanings commonly understood by those skilled in the art to which this disclosure pertains. All terms used in this disclosure are selected for the purpose of more clearly explaining this disclosure and are not selected to limit the scope of rights according to this disclosure.

Expressions such as “comprising,” “comprising,” “having,” and the like used in the present disclosure are open terms that imply the possibility of including other embodiments, unless otherwise stated in the phrase or sentence containing the expression. It should be understood as (open-ended terms).

The singular forms described in this disclosure may include plural forms unless otherwise stated, and this also applies to the singular forms recited in the claims.

Expressions such as “first” and “second” used in the present disclosure are used to distinguish a plurality of components from each other and do not limit the order or importance of the components.

The term “unit” used in this disclosure refers to software or hardware components such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). However, “wealth” is not limited to hardware and software. The “copy” may be configured to reside on an addressable storage medium and may be configured to reproduce on one or more processors. Thus, as an example, “part” refers to software components, such as object-oriented software components, class components, and task components, processors, functions, properties, procedures, subroutines, Includes segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within components and “parts” may be combined into smaller numbers of components and “parts” or may be further separated into additional components and “parts”.

As used in this disclosure, the expression "based on" is used to describe one or more factors that influence the act or action of decision, judgment, or action described in the phrase or sentence containing the expression, and this expression It does not exclude additional factors that may influence the decision, act or action of judgment.

In this disclosure, when a component is referred to as being “connected” or “connected” to another component, it means that the component can be directly connected or connected to the other component, or as a new component. It should be understood that it can be connected or connected through other components.

The term "artificial intelligence (AI)" used in this disclosure refers to technology that imitates human learning ability, reasoning ability, and perception ability and implements this with a computer, and includes the concepts of machine learning and symbolic logic. It can be included. Here, “machine learning (ML)” may be an algorithmic technology that automatically classifies or learns the characteristics of input data. Specifically, artificial intelligence is a machine learning algorithm that can analyze input data, learn the results of the analysis, and make judgments or predictions based on the results of the learning. Additionally, technologies that mimic the cognitive and judgment functions of the human brain using machine learning algorithms can also be understood as the category of artificial intelligence. For example, it may include technical fields such as verbal understanding, visual understanding, reasoning/prediction, knowledge representation, and motion control.

The term “machine learning” used in this disclosure may refer to the process of training a neural network model using experience processing data. Such machine learning can mean that computer software improves its own data processing capabilities. Here, the “neural network model” is constructed by modeling the correlation between data, and the correlation can be expressed by a plurality of parameters. This neural network model extracts and analyzes features from given data to derive correlations between data. Repeating this process to optimize the parameters of the neural network model can be called machine learning. For example, a neural network model can learn the mapping (correlation) between input and output for data given as input-output pairs. Alternatively, a neural network model may learn the relationships by deriving regularities between given data even when only input data is given.

The terms “artificial intelligence learning model,” “machine learning model,” or “neural network model” used in this disclosure may be designed to implement the human brain structure on a computer, and may be designed to simulate the neurons of a human neural network and have weights. It may include a plurality of network nodes having . Here, the “plurality of network nodes” may have a connection relationship with each other by simulating the synaptic activity of neurons sending and receiving signals through synapses. Specifically, in an artificial intelligence learning model, multiple network nodes are located in layers of different depths and can exchange data according to convolutional connection relationships. The artificial intelligence learning model may be, for example, an artificial neural network model, a convolution neural network model, etc., but the scope of the present disclosure is not limited to the examples described above, and various known It should be noted that neural network models may be applied to the present disclosure.

Hereinafter, embodiments of the present disclosure will be described with reference to the attached drawings. In the accompanying drawings, identical or corresponding components are given the same reference numerals. Additionally, in the description of the following embodiments, overlapping descriptions of identical or corresponding components may be omitted. However, even if descriptions of components are omitted, it is not intended that such components are not included in any embodiment.

FIG. 1 is a diagram illustrating a user 10 processing order information using the electronic device 100 according to an embodiment of the present disclosure. In one embodiment, the electronic device 100 may include a display for receiving user input, a processor and memory for processing calculations based on the user input. As shown in FIG. 1, a user 10 (e.g., store employee, franchise owner, etc.) may create and/or manage order information using the electronic device 100. For example, the user 10 may generate order information by meeting a customer visiting a store and inputting the customer's order into the electronic device 100. The user 10 may generate order information by entering a customer order received through a phone call, text message, or internet order into the electronic device 100 without visiting the store. According to another embodiment, even when there is no user input from the user 10, the electronic device 100 may generate order information according to remotely received data. In this case, the electronic device 100 may additionally include a communication unit. The electronic device 100 may run a specific application to transmit/receive data with an application installed on the customer's terminal device and generate order information based on the data transmitted from the customer's terminal device.

The user 10 can confirm at least one order information and manage the order information by inputting a predetermined user input into the electronic device 100. At least one order information of the electronic device 100 may include order information requested remotely through a delivery platform application and order information generated on-site according to a request from a customer visiting the store. At least one order information of the electronic device 100 may include a plurality of order information remotely requested through different delivery platform applications. The electronic device 100 may integrate and display one or more order information generated through different methods as described above according to a predetermined method that will be described below. The user 10 can effectively process various types of order information through the electronic device 100.

Figure 2 is a diagram illustrating a system 20 for processing order information according to an embodiment of the present disclosure. System 20 may include an electronic device 100 and a terminal device 110. The electronic device 100 may be a device for managing and/or providing order information. The terminal device 110 may be a device for generating order information and transmitting the generated order information to the electronic device 100 . The electronic device 100 and the terminal device 110 may be connected to each other through a predetermined communication method, and may transmit/receive data to each other through the Internet, Bluetooth, etc., for example. The terminal device 110 may be, for example, a mobile phone, smartphone, laptop computer, wearable device, or HMD.

Referring to FIG. 2, the electronic device 100 according to an embodiment of the present disclosure is connected to the terminal device 110 through a network and can transmit and receive various data. A customer may proceed with a purchase process for a specific product using the electronic device 100 through one or more applications installed on the terminal device 110. One or more applications installed on the terminal device 110 may be, for example, a delivery platform application. The user can manage at least one order information received through the electronic device 100 and transmit arbitrary information to the customer's terminal device 110 as needed.

Meanwhile, the system 20 shown in FIG. 2 only shows a preferred embodiment for achieving the purpose of the present disclosure, and some components may be added as needed. For example, a separate device may be provided to easily manage order information in the kitchen. Here, the separate device is a predetermined combination of the electronic device 100 or the terminal device 110 described with reference to FIG. 2. They are interconnected through communication methods and can transmit and receive arbitrary information. This separate device may be, for example, a mobile phone, smartphone, laptop computer, wearable device, or HMD.

Figure 3 is a block diagram of an electronic device 100 according to an embodiment of the present disclosure. According to an embodiment of the present disclosure, the electronic device 100 may include one or more processors 310, one or more memories 320, and/or a display 330 as components. In some embodiments, at least one of these components of electronic device 100 may be omitted, or other components may be added to electronic device 100. In some embodiments, additionally or alternatively, some components may be integrated and implemented, or may be implemented as a single or plural entity. In this disclosure, one or more processors 310 may be referred to as processor 310. The expression processor 310 may mean a set of one or more processors, unless the context clearly expresses otherwise. In this disclosure, one or more memories 320 may be referred to as memory 320 . The expression memory 320 may mean a set of one or more memories, unless the context clearly expresses otherwise.

At least some of the components inside and outside the electronic device 100 are connected to each other through a bus, general purpose input/output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI), etc. , data and/or signals can be exchanged.

The processor 310 may control at least one component of the electronic device 100 connected to the processor 310 by running software (eg, commands, programs, etc.). Additionally, the processor 310 may perform various operations related to the present disclosure, such as calculation, processing, data generation, and processing. Additionally, the processor 310 may load data, etc. from the memory 320 or store it in the memory 320 .

Memory 320 can store various data. Data stored in the memory 320 is data acquired, processed, or used by at least one component of the electronic device 100, and may include software (eg, commands, programs, etc.). Memory 320 may include volatile and/or non-volatile memory. In the present disclosure, a command or program is software stored in the memory 320, an operating system for controlling the resources of the electronic device 100, an application, and/or various functions so that the application can utilize the resources of the electronic device 100. It may include middleware that provides to the application. In one embodiment, the memory 320 may store instructions that, when executed by the processor 310, cause the processor 310 to perform an operation.

The display 330 is a component that can interface with the user, and can display various screens based on control of the processor 310 and receive user input from the user. In the present disclosure, at least one area of the screen displayed through the display 330 may be referred to as a “page.” In the present disclosure, the description of “touching an area of a page” should be understood as “touching an area of a page displayed on a display screen to touch the screen of the display corresponding to the area.” The display 330 may be implemented in the form of a touch sensor panel (TSP) that can recognize the contact or proximity of various external objects (eg, fingers). The touch sensor panel may have various structures and types, and the present disclosure can be applied regardless of the structure and type of the touch sensor panel. This embodiment illustrates receiving user input through a touch sensor panel. However, the present disclosure is not limited to this, and it is also possible to receive user input by providing a separate input device (eg, mouse, keyboard).

The display 330 may include a capacitance sensor to recognize contact or proximity of various external objects. A capacitance sensor may be composed of a plurality of capacitors, and the capacitance sensor may apply an electric signal to the capacitors. A capacitor can charge and discharge charge in response to the application of an electrical signal. When an electrical signal is applied to a capacitor, the capacitor may be charged depending on the magnitude of the voltage of the electrical signal. The display 330 may receive a touch input based on signals collected from the capacitive sensor.

In one embodiment, the electronic device 100 may further include a communication unit 340. The communication unit 340 may perform wireless or wired communication between the electronic device 100 and a server or between the electronic device 100 and other devices. For example, the communication unit 340 includes enhanced Mobile Broadband (eMBB), Ultra Reliable Low-Latency Communications (URLLC), Massive Machine Type Communications (MMTC), Long-Term Evolution (LTE), LTE Advance (LTE-A), NR (New Radio), UMTS (Universal Mobile Telecommunications System), GSM (Global System for Mobile communications), CDMA (Code Division Multiple Access), WCDMA (Wideband CDMA), WiBro (Wireless Broadband), WiFi (Wireless Fidelity), Bluetooth Wireless communication can be performed using methods such as (Bluetooth), NFC (Near Field Communication), GPS (Global Positioning System), or GNSS (Global Navigation Satellite System). For example, the communication unit 340 performs wired communication according to a method such as USB (Universal Serial Bus), HDMI (High Definition Multimedia Interface), RS-232 (Recommended Standard-232), or POTS (Plain Old Telephone Service). can do. In one embodiment, the communication unit 340 may communicate with an external terminal device 110.

In the present disclosure, the electronic device 100 may be of various types. For example, the electronic device may be a portable communication device, a portable multimedia device, a wearable device, a home appliance device, or a device based on one or more of the above-described devices. The electronic device of the present disclosure is not limited to the above-described devices.

The processor 310 according to an embodiment of the present disclosure may provide a first page for generating order information or a second page for managing an order information group through the display 330. In the present disclosure, a page may refer to a unit of data set provided to the user through the display 330. That is, a specific page may include one or more predetermined data. Additionally, the fact that a plurality of pages are “different from each other” may mean that at least one of one or more pieces of data included in each page is different from each other. Hereinafter, for convenience of explanation, the first page for creating order information is the “on-site order page”, and the second page for managing the order information group is the “order management page”. Each can be referred to interchangeably as . The on-site order page and the order management page are different pages and can be independently created and managed by the processor 310. The processor 310 may provide the on-site order page and the order management page asynchronously through the display 330.

FIG. 4A is a diagram illustrating an on-site order page 400 according to an embodiment of the present disclosure. The processor 310 according to an embodiment of the present disclosure may generate order information in response to a user input that touches at least one area of the on-site order page. Referring to FIG. 4A, a user may select a menu group and/or menu in one area 410 of the on-site order page 400. A menu group may include one or more menu groups clustered by the user, such as drinks, meals, desserts, etc. The menu may be the name of a food included in the menu group. The user may perform a payment operation for the selected menu by touching the payment button in one area 420 of the on-site order page 400. The processor 310 may include order information regarding the menu in an order information group in response to a user input of selecting a menu through at least one area of the on-site order page 400 and touching a payment button.

FIG. 4B is a diagram illustrating a method of generating order information based on an on-site order page according to an embodiment of the present disclosure. The processor 310 may receive a user input for selecting the kimbap group 411 from the menu groups of the on-site order page 400. The processor 310 responds to a user input for selecting the kimbap group 411, and displays one or more menus (e.g., kimbap, tuna kimbap, cheese kimbap, beef kimbap, etc.) included in the kimbap group 411 on the on-site order page ( 400) can be displayed in one area. The processor 310 may additionally receive a user input for selecting tuna kimbap 413. The processor 310 may display information about the food currently being sold in an area 450 of the on-site ordering page 400 in response to a user input for selecting a menu. For example, the processor 310 may display the name of the ordered food, the quantity of the ordered food, and the price of the ordered food in one area 450 of the on-site order page 400. The processor 310 may generate order information based on a user input by touching a payment button provided in one area 420 of the on-site order page 400. The processor 310 may include the generated order information in the order information group.

4C and 4D are other example diagrams illustrating a method of generating order information based on an on-site order page according to an embodiment of the present disclosure. Referring to FIG. 4C, the processor 310 displays information about the food to be currently sold in an area 450 of the on-site order page 400 in response to a user input of selecting tuna kimbap 413, In another area 440, the expected cooking time of the food to be sold can be displayed. Here, if additional food is added according to the operation described with reference to FIG. 4B, referring to FIG. 4D, the processor 310 responds to the subsequent user input to select more fries, and displays the on-site order page 400. ) may display updated information about the food to be currently sold in one area 450 , and the updated expected cooking time of the food to be currently sold may be displayed in another area 440 . According to an embodiment described with reference to FIGS. 4C and 4D, a user can check the expected cooking time that changes depending on the food selected when receiving an on-site order, and inform the customer of the confirmed expected cooking time. In particular, as the expected cooking time changes and is displayed each time a food is selected, the user can visually identify foods that require a high expected cooking time and guide the customer. Additionally, customers can choose food appropriate for the situation according to the estimated cooking time provided. Specifically, if the expected cooking time increases excessively when adding food a, the customer may select another food instead of food a.

A page tab for switching a plurality of pages may be displayed in one area 430 of the on-site order page 400 according to an embodiment of the present disclosure. The page tab may include, for example, a flag indicating a first page for generating order information and a flag indicating a second page for managing an order information group. The page tab may additionally include a flag indicating a third page for sales management. The processor 310 may provide one page among a plurality of pages through the display 330 based on a user input of selecting at least one flag included in the page tab. Through this, the user can select a specific page from among a plurality of pages provided asynchronously.

Order information according to this disclosure includes at least one of customer information, delivery platform name, order type, name of ordered food, order reception time, assignment status of delivery driver, arrival time of delivery driver, remaining cooking time, and order processing status. Can be included as a data item. However, it should be noted that this is an example of a data item that can be included in the order information, and that any number of different information can be included as a data item in the order information, and that any information can be included in the data item as long as it is information related to the order. Customer information may include, for example, name, gender, age, one or more shipping addresses, etc. The delivery platform name is a data item for identifying the delivery platform application that created the order information and can be distinguished into, for example, Company A, Company B, etc. Order types may include, for example, delivery, takeout, etc. The name of the ordered food may be the name of a specific menu provided by the seller. The order reception time is the time when the order was requested from the user's terminal device 110 to the electronic device 100 or the time when order information was generated in the electronic device 100 according to the order requested from the user's terminal device 110. It may be, etc. The assignment status of a delivery driver is a data item of the type of order information that requires a call from a delivery driver, and may include, for example, “awaiting assignment”, “assignment complete”, etc. The delivery driver's arrival time is a data item contained in the type of order information that requires a delivery driver's call. If a delivery driver is assigned, the delivery driver's expected arrival time (estimated arrival time at the store) or the delivery driver's arrival at the store. It may mean the estimated remaining time until. The remaining cooking time may refer to the time remaining from the time the order is accepted until the cooking of the ordered food is completed. The remaining cooking time may be calculated from the estimated cooking time entered by the user when initially accepting the order. Additionally, the remaining cooking time may be calculated from the expected cooking time calculated based on data items included in the new order information. Specifically. The processor 310 calculates and uses the default value of the expected cooking time based on the name of the ordered menu, the number of order information included in the order information group, and the expected cooking time information previously entered for the menu. Thus, the remaining cooking time included in the order information can be calculated. In addition to the above-described examples, various methods for calculating the expected cooking time can be applied to the present disclosure, and a detailed description of the operation for calculating the expected cooking time will be described later to avoid redundant explanation. Order processing status may include multiple stage statuses, for example, “new,” “in progress,” and “completed.” The new state may be a state in which the electronic device 100 has received order information but has not yet received the user's input and is waiting for acceptance or rejection. The in progress status may be the status that the order information has when the order is accepted. The completion status may be a status of the order information when the cooking of the order is completed after the order is accepted and additional input is received from the user.

An order information group according to the present disclosure may include two or more order information. The order information of the present disclosure includes hall order information ordered in the store, delivery order information ordered in the store, packaging order information ordered in the store, hall order information ordered remotely, delivery order information ordered remotely, and hall order information ordered remotely. May include at least one of the packaging order information. Order information ordered at the store may be generated based on the first page (on-site order page) for generating order information. Remotely ordered order information may be generated in the customer's terminal device 110 and transmitted to the electronic device 100.

An order information group according to an embodiment of the present disclosure may include two or more order information of different types. The order information group includes a first type of order information and a second type of order information, and the configuration of the data items included in the first type of order information is different from the configuration of the data items included in the second type of order information. can be different. In the present disclosure, the fact that the configurations of the data items of the two order information are different means that at least one data item among the plurality of data items included in the two order information is different from each other. For example, when the first type of order information and the second type of order information have different configurations of data items, the first type of order information includes A data item, B data item, and C data item, and Type 2 order information may include A data items, B data items, and D data items. In one embodiment, the first type of order information includes the assignment status of the delivery driver and the arrival time of the delivery driver as data items, and the second type of order information includes the assignment status of the delivery driver and the arrival time of the delivery driver. It may not be included as a data item. When order information is received through different delivery platform applications, order information from a specific application (Application A) may require a call from a delivery driver, while order information from a specific application (Application B) may not require a call from a delivery driver. there is. Accordingly, the first type of order information based on application A may include the assignment status of the delivery driver and the arrival time of the delivery driver as data items, and the second type of order information based on application B may include the assignment of the delivery driver. Status and delivery driver's arrival time may not be included as data items.

The processor 310 according to an embodiment of the present disclosure may provide a plurality of order information included in an order information group through the display 330 according to one or more predetermined criteria. The second page (order management page) according to an embodiment of the present disclosure may be configured to display an integrated group of order information. In the present disclosure, the processor 310 "integrally displays" the order information group on the order management page means that the processor 310 displays a plurality of different types of order information included in the order information group according to one or more predetermined criteria. This may mean displaying on the display 330.

Figure 5a is a diagram illustrating an order management page according to an embodiment of the present disclosure. The processor 310 may display a list including each of a plurality of order information included in the order information group as an element in a predetermined area of the second page 500. Hereinafter, the “predetermined area” of the second page 500 for displaying a list including each of a plurality of order information as elements may be briefly referred to interchangeably as a “list area” for convenience of explanation. . The list area 510 may include a cell area corresponding to individual order information. The

cell areas

511a and 511b may have a predetermined size or shape within the list area 510 to display data items included in the corresponding order information. A list can be a data structure that has an order between elements. The list according to an embodiment of the present disclosure may use order reception time as a sorting criterion among data items included in each of a plurality of order information. In other words, order information with a faster order reception time may be located earlier in the list than order information with a slower order reception time. When the processor 310 displays a list in the list area 510, as order information has an earlier order reception time, the cell area corresponding to the order information may be exposed at the top of the list area 510.

The processor 310 may display one or more event handling buttons corresponding to each of a plurality of order information within a predetermined area (list area) of the second page 500. In the present disclosure, an event handling button may be a screen element for the processor 310 to perform a specific action in response to a user's click or touch. The user can transmit the processing status of the corresponding order information to the electronic device 100 and manage the order information by clicking or touching the event handling button. One or more event handling buttons may be displayed within the

cell areas

511a and 511b of the order information to correspond to each of the plurality of order information. The one or more event handling buttons may include at least one of an order acceptance button, an order rejection button, a payment button, and a cooking completion button. The user may touch the order acceptance button to accept the received order information or the order rejection button to reject the order. When the order acceptance button is touched, the processor 310 may change order information in the “new” state to order information in the “in progress” state. The processor 310 may delete order information in a “new” state when the order rejection button is touched. The user can touch the payment button created for order information (e.g., take-out order) where payment is made later than the order. When the payment button is touched, the processor 310 can perform a payment operation for the corresponding order information. When the food is completely cooked, the user can touch the cooking completion button 513a. The processor 310 may transmit information about the fact that cooking has been completed to the terminal device 110 of the customer who requested the order in response to a user input of touching the cooking completion button 513a. When the cooking completion button 513a is touched, the processor 310 can change the order processing status of the corresponding order information from “in progress” to “complete.”

In one embodiment of the present disclosure, when the order information included in the list is the first type of order information that requires a call from a delivery driver, the first type is displayed within a predetermined area (list area) of the second page 500. One or more event handling buttons corresponding to the order information may further include a delivery driver call button 513b. That is, a delivery driver call button 513b may be included in the cell area 511b corresponding to the first type of order information. The user can touch the delivery driver call button 513b when a delivery driver needs to be called for specific order information. The processor 310 may transmit a delivery driver call request to the server of a predetermined delivery agency in response to a user input of touching the delivery driver call button 513b. The processor 310 may receive data about the assignment status of the delivery driver or the arrival time of the delivery driver from the delivery agency's server. The processor 310 may additionally display the received data regarding the assignment status of the delivery driver or the arrival time of the delivery driver in the cell area 511b of the corresponding order information. As described above, the electronic device 100 according to the present disclosure manages different types of order information in one list, but generates a separate event handling button for the type of order information that requires a call from a delivery driver, so that the order information It has the effect of increasing the user's convenience in managing order information by providing an independent work process according to the type and displaying multiple order information within one list area.

The processor 310 according to an embodiment of the present disclosure may display data items corresponding to order information through the display 330. For example, as shown in FIG. 5B, a data item (e.g., remaining cooking time or expected cooking time) included in the order information is in one area 515 included in the cell area 511b of the list area 510. can be displayed. For another example, as shown in FIG. 5C, the estimated cooking time included in the order information is displayed in the first area 517 included in the cell area 511b, and the second area 517 included in the cell area 511b is displayed. The remaining cooking time included in the order information may be displayed in area 519. As described above, the electronic device 100 according to the present disclosure effectively displays data items corresponding to order information within one list area, allowing the user to recognize specific data items included in the order information at a glance. . In particular, as shown in FIGS. 5B and 5C, when the expected cooking time or remaining cooking time is displayed, the user can manage cooking according to the expected cooking time or remaining cooking time corresponding to the order information.

The processor 310 according to an embodiment of the present disclosure may highlight and display the order information when the remaining cooking time corresponding to the order information is less than or equal to the first threshold time. Here, reference may be made to various known graphic visualization techniques for highlighting order information. For example, one area 515 shown in FIG. 5B may be displayed in a special color, but the scope of the present disclosure is not limited to this example, and if the technology allows the user to visually recognize order information, Highlighting order information in any manner may be included within the scope of this disclosure. Here, the first threshold time may be set in advance as a fixed arbitrary value, but its value may change dynamically, for example, based on the order processing status of order information included in the order information group. It should be noted that it may be possible. Additionally, the processor 310 may display an alarm corresponding to the order information when the remaining cooking time corresponding to the order information is less than or equal to the second threshold time. Here, reference may be made to various known alarm technologies for indicating alarms. For example, a pop-up can be displayed on the display or an animation can be displayed on the display, but the scope of the present disclosure is not limited to this example, and if the technology allows the user to visually recognize the alarm, how can the alarm be displayed? Even if indicated, it may be included in the scope of the present disclosure. Here, the second threshold time may be smaller than the above-described first threshold time, and according to this embodiment, as the remaining time becomes smaller, the order information is displayed in a way that is more emphasized to the user from “highlighting” to “alarm”. It can be.

An order information group according to an embodiment of the present disclosure may include at least one sub-order information group. The order information group may include at least one of a new order information group, an in-progress order information group, and a completed order information group as a sub-order information group. The new order information group may include order information with an order processing status of “new.” The progress order information group may include order information whose order processing status is “in progress.” The completed order information group may include order information whose order processing status is “completed.” In the present disclosure, the order processing status of order information may be changed based on user input, and when the order processing status is changed, the sub-order information group containing the order information may also be changed.

Figure 5D is a diagram illustrating an order management page according to an embodiment of the present disclosure. In response to a user input of touching an area 530 of the second page 500 to select a specific order information group among at least one sub-order information group, the processor 310 creates a dictionary of the second page 500. A list of specific order information groups can be displayed in the determined area (list area). For example, when the user touches “new” in one area 530 of the second page 500, one or more order information waiting for acceptance may be displayed in the list area 510. . For another example, when the user touches “in progress” within the area 530 of the second page 500, the order is accepted in the list area 510 and one or more orders are in the cooking process. Information may be displayed. For another example, when the user touches “completed” in one area 530 of the second page 500, one or more order information of completed cooking may be displayed in the list area 510. Through this, the electronic device 100 according to the present disclosure groups a plurality of order information in different processing states according to a predetermined standard and provides it to the user, allowing the user to easily manage the order information group. .

Figure 5e is a diagram illustrating an order management page according to an embodiment of the present disclosure. The processor 310 according to an embodiment of the present disclosure responds to a user input of touching an area 550 of the second page 500 to select a specific delivery platform name among a plurality of delivery platform names, A list of specific delivery platform names among a plurality of order information included in the order information group may be displayed in a predetermined area (list area) of the page 500. For example, when the user touches the “A” delivery platform name within area 550 of the second page 500, the processor 310 generates one or more order information with “A” as the delivery platform name. It can be displayed in the list area 510. Through this, the electronic device 100 according to the present disclosure groups order information ordered through different delivery platforms according to the name of each delivery platform and provides it to the user so that the user can easily manage the order information group. do. As described above with reference to FIGS. 5A to 5C, the electronic device 100 according to the present disclosure integrates order information that can be classified differently based on a plurality of criteria on one screen according to a predetermined method, thereby providing user information. Increases convenience in managing order information.

In one embodiment of the present disclosure, when new order information is received through the communication unit 340 when the first page (on-site order page) is displayed through the display 330, the processor 310 uses the communication unit 340 A first sub page can be created to display new order information received through . The first sub-page is a page generated by the processor 310 while the on-site order page is being displayed on the display 330, and may be interchangeably referred to as an “order acceptance page” for convenience of description below.

FIG. 6A is a diagram illustrating an order acceptance page 600 according to an embodiment of the present disclosure. The processor 310 may display the first sub-page (order acceptance page) by overlaying it at a predetermined position on the first page (on-site order page). Referring to FIG. 6A , the predetermined location where the order acceptance page 600 is overlaid on the field order page 400 may be the lower right corner of the field order page 400. The order acceptance page 600 may be configured to display the name of the ordered food. The order acceptance page 600 may additionally include an order acceptance button 631 and an order rejection button 633. The user can receive the requested new order information by touching the order acceptance button 631 in the order acceptance page 600. The processor 310 responds to a user input of touching the order acceptance button 631 on the order acceptance page to accept the new order information received through the communication unit 340, You can change the order processing status. For example, the initial order processing status of new order information received through the communication unit 340 may be “new.” At this time, when a user input is received by touching the order acceptance button 631 on the order acceptance page 600 to accept new order information, the processor 310 sets the order processing status of the new order information to “in progress.” It can be changed to . The order acceptance page 600 may include one or

more buttons

611 and 613 for determining the expected cooking time of the ordered food. The user can determine the expected cooking time of the ordered food by touching the time increase button 611 or the time decrease button 613. The processor 310 may determine the expected cooking time to be included in the order information in response to user input to one or

more buttons

611 and 613 for determining the expected cooking time of the ordered food. If the new order information received through the communication unit 340 is the first type of order information requiring a call from a delivery driver, the order acceptance page 600 may further include a call button for the delivery driver. The user can request the assignment of a delivery driver by touching the delivery driver call button. The processor 310 may transmit a delivery driver call request to the server of a predetermined delivery agency in response to a user input of touching the delivery driver call button on the order acceptance page 600.

The processor 310 according to an embodiment of the present disclosure uses the communication unit 340 when new order information is received through the communication unit 340 when the first page (on-site order page) is displayed through the display 330. The estimated cooking time corresponding to the new order information can be displayed on the subpage (order acceptance page) for displaying the new order information received through. For example, as shown in FIG. 6B, the expected cooking time may be displayed in an area 650 within the order acceptance page 600, and the user may refer to the accurate expected cooking time calculated based on the order information. You can determine the expected cooking time. The estimated cooking time on the order acceptance page 600 can be changed and displayed as other information. Additionally, the order acceptance page 600 may be displayed with additional information. For example, as shown in FIG. 6C, the expected delivery time may be displayed in one area 660 of the order acceptance page 600, and the user can select the exact expected cooking time and expected delivery calculated based on the order information. You can reference the time to determine input times (e.g. expected cooking time, expected delivery time).

The processor 310 according to an embodiment of the present disclosure may not include a button for determining the input time of the order acceptance page. For example, as shown in Figure 6C, the order acceptance page 600 only displays the expected cooking time and expected delivery time, and

buttons

611 and 613 for determining the expected cooking time as shown in Figure 6A. ) may not be displayed. That is, when receiving a new order, the calculated expected times can be transmitted to the delivery platform without user input. According to this embodiment, the input times required differently for each delivery platform (e.g., expected cooking time, expected delivery) User confusion due to time) can be prevented.

According to an embodiment of the present disclosure, when a plurality of new order information is received through the communication unit 340, the processor 310 generates a plurality of order acceptance pages corresponding to each of the plurality of new order information, and orders the order reception time. Based on this, multiple order acceptance pages can be displayed by overlaying them at a predetermined location on the field order page. A plurality of order acceptance pages may be displayed overlapping each other at a predetermined location on the on-site order page, and may be displayed overlapping so that they are exposed first as the order reception time is faster. The processor 310 may display the number of order acceptance pages currently in a waiting state for order acceptance in one area of the order acceptance page. As described above, the electronic device 100 according to the present disclosure receives new order information through the communication unit 340 while the field order page 400 for accepting field orders is provided through the display 330. Even so, by creating an order acceptance page 600 without a separate screen change and providing it to the user, unnecessary processes required for screen change are eliminated and the user's convenience in managing order information is increased.

The processor 310 according to an embodiment of the present disclosure may provide a third page for sales management through the display 330. The third page may be configured to display sales information paid on site. Hereinafter, the third page for sales management may be referred to as the “settlement page” for convenience. Figure 7 is a diagram illustrating a settlement page 700 according to an embodiment of the present disclosure. The on-site sales information displayed on the settlement page 700 may include, for example, the total amount of on-site sales, profit by period of on-site sales, and the name of the most ordered menu on site. there is. The settlement page 700 may include a plurality of payment information. Payment information may include the name of the ordered menu, payment time, payment method, etc. The processor 310 may calculate sales information paid on site by calculating a plurality of payment information.

In one embodiment of the present disclosure, the settlement page 700 may be configured to additionally display at least one of sales information paid through a delivery platform, sales information by menu, and sales comparison information between on-site and delivery. Sales information paid through a delivery platform may include, for example, total sales for each delivery platform, total sales through all delivery platforms, etc. Sales information for each menu may be, for example, the total amount sold for each menu. The comparison information between on-site and delivery sales may be, for example, the difference between the total on-site sales and the total delivery sales for each menu.

The processor 310 according to an embodiment of the present disclosure may calculate order history data for the customer based on customer information included in previously received order information. For example, if there are N pieces of previously received order information, and among them, M pieces of order information including specific customer information (M <= N), the processor 310 processes M pieces of order information including specific customer information. Based on this, the customer's order history data can be calculated. Order history data may include the name of the most ordered menu for a specific customer, the total payment amount for a specific customer, the date and time of the last payment for a specific customer, etc.

The processor 310 according to an embodiment of the present disclosure may calculate the expected cooking time in response to obtaining new order information. Specifically, in response to obtaining new order information, the expected cooking time may be calculated by referring to the data item corresponding to the new order information, and the expected cooking time may be calculated prior to the user inputting the accept or reject button. there is. According to this embodiment, the user can check the expected cooking time and decide to accept or reject the new order, thereby increasing user convenience.

The processor 310 according to an embodiment of the present disclosure may calculate the expected cooking time corresponding to new order information using a cooking time calculation model built according to a machine learning algorithm. Here, the cooking time calculation model may be a model learned in the electronic device 100, but is not limited to this, and may be learned in an external device and loaded into the electronic device 100. Hereinafter, the cooking time calculation model will be described in detail with reference to FIGS. 8A and 8B.

FIG. 8A is an exemplary diagram for explaining a learning operation of a cooking time calculation model that may be referenced in some embodiments of the present disclosure. The cooking time calculation model 800 shown in FIG. 8A is a model learned by modeling the correlation between the learning data set 810 regarding the combination of data items and the cooking time set 820 corresponding to the learning data set 810. It can be.

To prepare a learning data set 810 and a cooking time set 820 for a combination of these data items, the processor 310 uses order information randomly extracted from the user's order information pool and the actual cooking time corresponding thereto. Order information randomly extracted from an order information pool including the user's order information and the order information of other users (e.g., other franchise owners) and the corresponding actual cooking time can be used.

Specifically, the data item combination may mean a combination of data items randomly selected from among a plurality of data items included in the order information, and the cooking time calculation model 800 is configured to calculate the expected cooking time based on the data item combination. It can be learned. A regression algorithm of supervised learning may be referred to in learning this cooking time calculation model 800, but the scope of the present disclosure is not limited thereto, and all methods for calculating the cooking time based on a combination of data items (features) may be referred to. Known artificial intelligence techniques can be applied to the present disclosure.

In one embodiment, the data item combination may be a subset of a plurality of orderable food names selected to allow for duplication. Specifically, if food a and food b are orderable, for example, (1) 2 foods a, (2) 1 food a and 2 foods b, (3) 3 foods b could each be a combination of data items. And, to correspond to the above-described examples, learning data sets can be prepared through preprocessing as follows: (1) {2, 0}, (2) {1, 2}, (3) {0, 3}. Here, the cooking time corresponding to each learning data can be obtained and a cooking time calculation model can be built using the correlation between the learning data and the cooking time. According to this embodiment, the name of the ordered food and the actual cooking time corresponding to it can be used to learn a cooking time calculation model. In another embodiment, the combination of data items may include customer information (e.g., shipping address, etc.), delivery platform name, order type, order receipt time (e.g., time of day, day of the week, etc.), delivery driver assignment status, and delivery driver's arrival time. and may further include at least one of the processing status of the order. The above-mentioned examples are factors that can affect cooking time, and can be used as learning data through a series of preprocessing when learning a cooking time calculation model.

As shown in FIG. 8B, the cooking time calculation model 800 constructed in this way can receive a combination of data items extracted from the new order information 830 and output the corresponding expected cooking time 840. .

The processor 310 according to an embodiment of the present disclosure may update the cooking time calculation model 800 so that the difference between test information and expected cooking time corresponding to the test information is reduced. Here, the test information may be the actual cooking time calculated based on the difference between the reception time of the test order information collected during the test period and the cooking completion time. That is, the cooking time calculation model 800 can be updated so that the difference between the expected cooking time calculated in the past (test period) and the corresponding actual cooking time is reduced using the cooking time calculation model 800. To update this cooking time calculation model 800, a reinforcement learning algorithm is used, such as granting a reward if the difference between the expected cooking time and the actual cooking time corresponding to it is less than or equal to a standard value, and granting a penalty if it exceeds the standard value. However, the scope of the present disclosure is not limited thereto, and any method of updating the cooking time calculation model 800 to reduce the difference between the expected cooking time and the corresponding actual cooking time is within the scope of the present disclosure. may be included in

The processor 310 according to an embodiment of the present disclosure, based on the duplicate food name included in the new order information and the order information within the standard number obtained prior to acquisition of the new order information, The estimated cooking time can be calculated low. Here, the standard number may be set to a fixed arbitrary value, but is not limited to this, and may be changed and applied according to actual implementation cases, for example, dynamically changing depending on the number of order information in progress. You can. Also, here, in order to calculate the expected cooking time low under the above-mentioned conditions, the processor 310 subtracts a predetermined subtraction value from the default value (e.g., the output of the cooking time calculation model 800) or adjusts the weight of the regression model. It can be lowered. In addition, it should be noted that the expected cooking time can be calculated lower under the above-described conditions in a variety of ways, and any method of lowering the expected cooking time under the above-mentioned conditions is included in the scope of the present disclosure.

FIG. 9 is an exemplary diagram illustrating an operation of calculating cooking time according to duplicate food names that may be referenced in an embodiment of the present disclosure. Figure 9 shows new order information 900 and

order information

910, 920, 930 obtained before the new order information, and the order information shown in Figure 9 includes a duplicate food name, "B (900b) )" and "C(900a)" are shown. For example, when there are four duplicate food names in the order information, the processor 310 according to an embodiment of the present disclosure may calculate the expected cooking time corresponding to the duplicate food names at a low level. In this case, the expected cooking time corresponding to “C (900a)” may be calculated lower than the default value, but the expected cooking time corresponding to “B (900b)” may be calculated as the default value. Additionally, the processor 310 according to an embodiment of the present disclosure may calculate the expected cooking time to be lower as the number of duplicate food names in the order information increases. In this case, the degree to which the expected cooking time corresponding to “C (900a)” is lower than the default value may be greater than the degree to which the expected cooking time corresponding to “B (900b)” is lower than the default value. According to the embodiment described with reference to FIG. 9, the expected cooking time is calculated so low that the actual cooking time is shortened because food from ongoing orders is received repeatedly, so that the expected cooking time is calculated to better match the actual cooking time. You can.

The processor 310 according to an embodiment of the present disclosure inputs the expected cooking time when the difference between the expected cooking time calculated using the cooking time calculation model 800 and the expected cooking time input by the user is greater than a threshold. You can disable the time increase button or time decrease button for Specifically, the

buttons

611 and 613 for determining the expected cooking time shown in FIG. 6A may be deactivated. According to this embodiment, if there is an excessive difference between the expected cooking time calculated using the cooking time calculation model 800 and the expected cooking time entered by the user, there is a significant possibility that inaccurate information will be entered, and such inaccurate information The time increase button or time decrease button may be disabled to prevent input.

The processor 310 according to an embodiment of the present disclosure includes at least some of customer information (e.g., delivery address, etc.), order reception time (e.g., time, day, etc.), and delivery driver assignment status, and a cooking time calculation model ( Based on the expected cooking time of 800), the expected delivery time can be calculated. To calculate this expected delivery time, the description of the cooking time calculation model 800 described with reference to FIGS. 8A and 8B may be referred to. In other words, the actual delivery time can be obtained through the delivery driver pickup time and delivery completion time, and by using these data items included in the order information, the expected delivery time can be calculated in a similar way to calculating the expected cooking time. I can understand that there is.

10 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure. In operation S810, the electronic device 100 according to an embodiment of the present disclosure displays a first page for generating order information or a second page, which is different from the first page, for managing an order information group. It can be provided through. The second page for managing the order information group may be configured to display the order information group in an integrated manner. An order information group may include two or more order information of different types. The processor 310 may display a plurality of different types of order information in the list area of the second page and include one or more event handling buttons according to the type of order information in the cell area corresponding to each order information. there is.

The electronic device 100 may receive a user input that touches at least one area of the first page in operation S820. The first page may include an area for selecting a menu group and/or menu. The first page may include an area including a payment button.

The electronic device 100 may generate order information in response to a user input of touching an area of the first page in operation S830. The processor 310 may receive user input for a menu and payment button from the user through the first page and perform a payment operation for the menu. The processor 310 may generate order information regarding the menu in response to a user input of selecting a menu through at least one area of the first page and touching a payment button, and include the order information in the order information group. The status of the generated order information may be “in progress.”

11 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure. In operation S910, the electronic device 100 according to an embodiment of the present disclosure displays a first page for generating order information or a second page, which is different from the first page, for managing an order information group. It can be provided through. Operation S910 of FIG. 11 may be performed by the electronic device 100 in the same or similar manner as operation S810 described above with reference to FIG. 10 .

In operation S920, the electronic device 100 may display a list including each of a plurality of order information included in the order information group as an element in a predetermined area of the second page. A list is a data structure that has an order between different elements, and multiple order information can be sorted based on order reception time. The processor 310 may display a plurality of order information in a predetermined area of the second page such that order information with an earlier order reception time is displayed at the top of the list.

The electronic device 100 may display one or more event handling buttons corresponding to each of a plurality of order information within a predetermined area of the second page in operation S930. Individual areas where each order information is displayed within the predetermined area of the second page may be referred to as a cell area. The processor 310 may display one or more event handling buttons corresponding to order information in each cell area. The one or more event handling buttons may include at least one of an order acceptance button, an order rejection button, a payment button, and a cooking completion button. Processor 310 may display one or more event handling buttons based on the type of order information. For example, in the case of the first type of order information requiring a call from a delivery driver, one or more event handling buttons displayed in the cell area of the corresponding order information may further include a call button for the delivery driver.

The electronic device 100 may receive a user input of touching an event handling button in operation S940. For example, when cooking of a specific order is completed, the user may touch the cooking completion button corresponding to the order information.

The electronic device 100 may process order information according to the type of the event handling button in response to a user input of touching the event handling button in operation S950. For example, when the user touches the cooking completion button, the processor 310 may change the order processing status of the corresponding order information from “in progress” to “complete.” For another example, when the user touches the delivery driver call button, the processor 310 may transmit a delivery driver call request to the server of a predetermined delivery agency. The processor 310 may receive data about the assignment status of the delivery driver or the arrival time of the delivery driver from the delivery agency's server and display this in the cell area of the corresponding order information.

12 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure. The electronic device 100 according to an embodiment of the present disclosure may obtain new order information in operation S1100. Here, the new order information may be order information generated in response to a user's input or order information received from an external device.

The electronic device 100 may calculate the expected cooking time corresponding to the new order information based on the data items included in the new order information in operation S1200. Here, the expected cooking time may be calculated in response to obtaining new order information. Also, here, the expected cooking time may be calculated using a cooking time calculation model built according to a machine learning algorithm.

The electronic device 100 may display the expected cooking time in operation S1300. Specifically, the electronic device 100 may display the estimated cooking time on the on-site order page during the process of creating new order information. Additionally, the electronic device 100 may display the expected cooking time on the order management page. Furthermore, when new order information is received from an external device when the on-site order page is displayed, the electronic device 100 may display the estimated cooking time on the sub-page, and when the order management page is displayed, the new order information is received from the external device. When received from, the expected cooking time can be displayed in the cell area corresponding to the new order information exposed in the list area.

The electronic device 100 may transmit the expected cooking time to an external device in operation S1400. Specifically, the electronic device 100 may transmit the estimated cooking time to the customer's terminal 110 or the kitchen's terminal.

In the embodiments described so far with reference to FIG. 12, “expected cooking time” can be understood as “expected delivery time” or “remaining cooking time”. That is, the information calculated, displayed, or transmitted may be “estimated delivery time” or “remaining cooking time.”

Although each step of the method or algorithm according to the present disclosure is described in sequential order in each flowchart shown in the present disclosure, each step may be performed in an order that can be arbitrarily combined by the present disclosure in addition to being performed sequentially. It may be possible. The description according to this flow chart does not exclude making changes or modifications to the method or algorithm, nor does it imply that any step is required or desirable. In one embodiment, at least some of the steps may be performed in parallel, iteratively, or heuristically. In one embodiment, at least some steps may be omitted or other steps may be added.

Various embodiments of the present disclosure may be implemented as software on a machine-readable storage medium. The software may be software for implementing various embodiments of the present disclosure. Software can be inferred from various embodiments of the present disclosure by programmers in the technical field to which this disclosure pertains. For example, software may be a program that contains instructions (e.g., code or code segments) that can be read by a device. A device is a device that can operate according to instructions called from a storage medium, and may be, for example, a computer. In one embodiment, the device may be the electronic device 100 according to embodiments of the present disclosure. In one embodiment, the device's processor may execute a called instruction to cause the device's components to perform a function corresponding to the instruction. In one embodiment, the processor may be processor 310 according to embodiments of the present disclosure. A storage medium may refer to any type of recording medium in which data is stored that can be read by a device. Storage media may include, for example, ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, etc. In one embodiment, the storage medium may be memory 320. In one embodiment, the storage medium may be implemented in a distributed form, such as in a computer system connected to a network. Software may be distributed, stored, and executed on a computer system, etc. The storage medium may be a non-transitory storage medium. Non-transitory storage media refers to a tangible medium regardless of whether data is stored semi-permanently or temporarily, and does not include signals that are transmitted temporarily.

Although the technical idea of the present disclosure has been described above through various embodiments, the technical idea of the present disclosure includes various substitutions, modifications, and changes that can be made within the range that can be understood by those skilled in the art in the technical field to which the present disclosure pertains. Includes. Additionally, it is to be understood that such substitutions, modifications and alterations may be included within the scope of the appended claims.

Claims

In a method of processing order information performed by an electronic device,

Obtaining new order information;

calculating an expected cooking time corresponding to the new order information based on data items included in the new order information; and

Including displaying the expected cooking time,

How we process your order information.
According to paragraph 1,

The new order information above is:

Containing at least one of customer information, delivery platform name, order type, name of ordered food, order reception time, assignment status of delivery driver, arrival time of delivery driver, remaining cooking time, and order processing status as data items,

How we process your order information.
According to paragraph 1,

The step of obtaining the new order information is,

In response to user input, generating first new order information,

The step of displaying the estimated cooking time is,

In response to a first user input for a first data item corresponding to the first new order information, displaying a first expected cooking time,

How we process your order information.
According to paragraph 3,

The step of displaying the estimated cooking time is,

In response to a second user input following the first user input, displaying a second expected cooking time that updates the first expected cooking time,

The second user input is a user input for a second data item that corresponds to the first new order information and is distinct from the first data item,

How we process your order information.
According to paragraph 1,

The step of obtaining the new order information is,

Receiving second new order information from a device external to the electronic device,

The step of displaying the estimated cooking time is,

When receiving the second new order information, when a first page for generating first new order information in response to user input is displayed on the display of the electronic device,

Comprising the step of displaying an estimated cooking time corresponding to the second new order information on a subpage displayed by overlaying the first page,

How we process your order information.
According to paragraph 1,

The step of obtaining the new order information is,

Receiving second new order information from a device external to the electronic device,

The step of displaying the estimated cooking time is,

When the second new order information is received when a second page in which order information groups including two or more different types of order information are integrated and displayed is displayed on the display of the electronic device,

Comprising the step of displaying an expected cooking time corresponding to the second new order information in an area of the second page for displaying the second new order information,

How we process your order information.
According to paragraph 1,

The step of calculating the expected cooking time is,

In response to obtaining the new order information, calculating the expected cooking time,

How we process your order information.
According to paragraph 1,

The step of calculating the expected cooking time is,

Comprising the step of calculating the expected cooking time corresponding to the new order information using a cooking time calculation model built according to a machine learning algorithm,

The cooking time calculation model is,

A model learned by modeling the correlation between a training data set for combinations of data items and a set of cooking times corresponding to the training data set,

How we process your order information.
According to clause 8,

The combination of data items is:

Among the plurality of food names that can be ordered, some are selected by allowing duplication,

How we process your order information.
According to clause 9,

The combination of data items is:

Further comprising at least one of customer information, delivery platform name, order type, order reception time, delivery driver's assignment status, delivery driver's arrival time, and order processing status,

How we process your order information.
According to clause 8,

The cooking time calculation model is a model that is updated to reduce the difference between test information and expected cooking time corresponding to the test information,

The test information is information calculated based on the difference between the reception time and the cooking completion time of the test order information collected during the test period,

How we process your order information.
According to clause 8,

The cooking time calculation model calculates the expected cooking time corresponding to the duplicate food name based on the new order information and the duplicate food name included in the order information within the standard number obtained before acquisition of the new order information. A model that yields low

How we process your order information.
According to clause 8,

The step of calculating the expected cooking time is,

In response to a user input to an increase time button or a decrease time button, determining an input cooking time;

The step of determining the input cooking time is,

When the difference between the expected cooking time calculated using the cooking time calculation model and the input cooking time is greater than or equal to a threshold, disabling the time increase button or the time decrease button,

How we process your order information.
According to paragraph 1,

The step of calculating the expected cooking time is,

Comprising calculating an expected delivery time based on at least some of customer information, order reception time, and assignment status of the delivery driver, and the expected cooking time,

How we process your order information.
According to paragraph 1,

The step of displaying the estimated cooking time is,

When the remaining cooking time calculated based on the expected cooking time is less than or equal to a first threshold time, including highlighting and displaying the new order information,

How we process your order information.
According to clause 15,

The step of displaying the estimated cooking time is,

If the remaining cooking time calculated based on the expected cooking time is less than or equal to a second threshold time, displaying an alarm corresponding to the new order information,

The second threshold time is smaller than the first threshold time,

How we process your order information.
According to paragraph 1,

Further comprising transmitting the estimated cooking time to the customer's terminal,

How we process your order information.
According to paragraph 1,

Further comprising transmitting the estimated cooking time to a kitchen terminal,

How we process your order information.
processor;

network interface;

display;

Memory; and

Includes a computer program loaded into the memory and executed by the processor,

The computer program is,

Instructions for obtaining new order information;

Instructions for calculating an expected cooking time corresponding to the new order information, based on data items included in the new order information; and

Containing instructions indicating the expected cooking time,

Electronic devices.
According to clause 19,

The computer program is,

Further comprising instructions for transmitting the estimated cooking time to the customer's terminal,

Electronic devices.