KR20230023431A - Apparatus for providing table unit store information in real time and method therefor - Google Patents

Abstract

A method for providing table-level store information comprises: a step in which a search processing unit receives search conditions from a user device and searches for a restaurant with a table meeting the received search conditions; a step in which an order processing unit provides restaurant information, table information, and menu information for one or more restaurants found by the user device, and receives an order indicating a restaurant, table, and menu selected based on the restaurant information, table information, and menu information from the user device; when payment for the order is made, the order processing unit completes a reservation for the restaurant, table, and menu according to the order; and a step in which an occupancy management unit provides the user device with a waiting time indicating an expected time required for a user of the user device to start eating after completing the reservation. Accordingly, by providing information in advance that can only be confirmed through direct store visits, social overhead capital can be minimized.

Description

Apparatus for providing table unit store information in real time and method therefor

The present invention relates to a technology for providing store information, and more particularly, to an apparatus and method for providing store information in table units in real time.

Currently, maps and restaurant-related apps provide only approximate information (business days, business dates, menus, etc.) about restaurants, and information that can only be obtained by visiting the site is not provided at all. As a result, it is not difficult to find cases where social overhead capital is wasted due to not knowing in advance information that business is closed for the same day or several days due to unexpected circumstances, or information that customers have to wait for a long time during peak hours for meals. can

Korean Patent Publication No. 2015-0099401 (published on August 31, 2015)

An object of the present invention is to provide an apparatus and method for providing an augmented reality-based video conference for multilateral online business collaboration.

In order to achieve the above object, a method for providing store information in table units according to a preferred embodiment of the present invention is a restaurant having a table that meets the search condition when a search processing unit receives a search condition from a user device. Searching for a restaurant, wherein an order processing unit provides restaurant information, table information, and menu information about the searched one or more restaurants to the user device, and the restaurant selected based on the restaurant information, table information, and menu information from the user device; Receiving an order indicating a table and a menu, and when payment for the order is made, completing a reservation for a restaurant, table, and menu by an order processing unit according to the order, and and providing a waiting time indicating an expected time required for the user of the user device to start eating after completing the reservation.

The waiting time includes a maximum waiting time and a recommended waiting time shorter than the maximum waiting time.

The providing of the arrival time information may include calculating, by the occupancy management unit, the maximum waiting time, which is the sum of all times required for moving and waiting until the user arrives at the restaurant and starts eating after the reservation, and the occupancy management unit A step of calculating the recommended waiting time, which is a value obtained by estimating the actual time required for moving and waiting until the user arrives at the restaurant after making a reservation and starts eating.

In the method, after the step of providing the waiting time, if an arrival signal generated by the user device scanning an arrival code attached to a table of a restaurant and notifying an arrival time is received, the occupancy management unit determines the arrival time, the Comparing the recommended waiting time and the maximum waiting time, and if the arrival time is earlier than the recommended waiting time according to the comparison, the occupancy management unit accumulates manner points for the user of the user device, and the maximum waiting time The method further includes deducting a manner score for the user of the user device if the arrival time is later than the arrival time.

The restaurant information includes a restaurant icon indicating the location of a restaurant that meets a search condition on a map and a number indicating the number of tables that meet the search condition. It is characterized in that it includes a layout diagram indicating the location, number of people to be accommodated, and occupancy, and the maximum waiting time of the occupied table.

In order to achieve the above object, a method for providing store information in table units according to a preferred embodiment of the present invention provides restaurant information, table information, and menu information for one or more restaurants that meet a search condition by an order processing unit. and receiving an order representing a restaurant, table, and menu selected on the basis of restaurant information, table information, and menu information from the user device, and when payment for the order is made, the order processing unit makes a reservation according to the order. and calculating, by the occupancy management unit, the maximum waiting time, which is the sum of all the times required for moving and waiting until the user arrives at the restaurant and starts eating after the reservation, and the occupancy management unit calculates the maximum waiting time after the user makes the reservation. Calculating the recommended waiting time, which is a value obtained by estimating the time actually required for movement and waiting from arriving at the restaurant to starting the meal, and wherein the occupancy management unit includes at least one of the maximum waiting time and the recommended waiting time and providing a waiting time.

The step of calculating the maximum waiting time is the cooking waiting time, which is the time required for cooking by the occupancy management unit for previous orders of the user and the time required for cooking according to the user's order, and the table reserved by the user. When there are other users who are eating, the table waiting time, which is the time required for the meal of others who are eating at the table reserved by the user, and when there are others who are waiting at the restaurant reserved by the user, It is characterized in that at least one of the entrance waiting time, which indicates the time required for everyone to enter, and the user movement time, which is the time required for the user to move from the current location to the reserved restaurant, are calculated and summed.

In the step of calculating the recommended waiting time, the occupancy management unit calculates the maximum waiting time by applying a restaurant weight. Here, the restaurant weight is preferably an average of the difference between the maximum waiting time of existing customers of the corresponding restaurant and the actual meal start time.

An apparatus for providing store information in table units according to a preferred embodiment of the present invention for achieving the above object is to receive a search condition from a user device and search for a restaurant having a table that meets the received search condition. A search processing unit provides restaurant information, table information, and menu information about the searched one or more restaurants to the user device, and displays the restaurant, table, and menu selected based on the restaurant information, table information, and menu information from the user device. An order processing unit that receives an order and completes a reservation for a restaurant, table, and menu according to the order when payment is made for the order, and when the user of the user device starts eating after completing the reservation with the user device It includes an occupancy management unit that provides a waiting time indicating an expected time required to

The waiting time includes a maximum waiting time and a recommended waiting time shorter than the maximum waiting time.

The occupancy management unit calculates the maximum waiting time, which is the sum of all the traveling and waiting times from the reservation until the user arrives at the restaurant and starts eating, and moves until the user arrives at the restaurant after making a reservation and starts eating. and the recommended waiting time, which is a value obtained by estimating the time actually required for waiting, can be calculated.

The occupancy management unit compares the arrival time with the recommended waiting time and the maximum waiting time when receiving an arrival signal indicating an arrival time generated by scanning an arrival code attached to a table of a restaurant by the user device, According to the comparison, the occupancy management unit accumulates manner points for the user of the user device if the arrival time is earlier than the recommended waiting time, and if the arrival time is later than the maximum waiting time, the user of the user device It is characterized by deducting manner points.

According to the present invention, space usage information in units of tables for each store can be provided in real time. In particular, the present invention can provide services such as table and menu selection and ordering according to waiting time for meals on a table basis, in-store situation and consumer preference. In addition, the present invention can minimize social overhead capital that can be wasted by providing information that can be confirmed only through direct store visits in advance.

1 is a diagram for explaining the configuration of a system for providing store information in table units according to an embodiment of the present invention.
2 is a diagram for explaining the configuration of a management server for providing store information in table units in real time according to an embodiment of the present invention.
3 is a diagram for explaining the detailed configuration of a management server for providing store information in table units in real time according to an embodiment of the present invention.
4 is a flowchart illustrating a method for providing store information in table units according to an embodiment of the present invention.
5 to 10 are examples of screens for explaining a method for providing store information in table units according to an embodiment of the present invention.

Prior to the detailed description of the present invention, the terms or words used in this specification and claims described below should not be construed as being limited to a common or dictionary meaning, and the inventors should use their own invention in the best way. It should be interpreted as a meaning and concept corresponding to the technical idea of the present invention based on the principle that it can be properly defined as a concept of a term for explanation. Therefore, the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention, and do not represent all of the technical ideas of the present invention, so various equivalents that can replace them at the time of the present application. It should be understood that there may be water and variations.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. At this time, it should be noted that the same components in the accompanying drawings are indicated by the same reference numerals as much as possible. In addition, detailed descriptions of well-known functions and configurations that may obscure the gist of the present invention will be omitted. For the same reason, some components in the accompanying drawings are exaggerated, omitted, or schematically illustrated, and the size of each component does not entirely reflect the actual size.

First, a system for providing store information in units of tables according to an embodiment of the present invention will be described. 1 is a diagram for explaining the configuration of a system for providing store information in table units according to an embodiment of the present invention.

Referring to FIG. 1, a system for providing store information in table units (hereinafter, abbreviated as 'information providing system') according to an embodiment of the present invention includes a management server 10, a user device 20, and a store device. (30).

The management server 10 is an entity on the network and serves as an application server, and may be representatively exemplified by a workstation. The management server 10 receives information about restaurants and tables operated by the store owner who has signed up as a store owner member from the store device 30, and provides it to the user device 20 of the user who has signed up as an individual member. , When an order and payment are made by a user through the user device 20, a service is provided to allow a table to be reserved for a predetermined period.

The user device 20 is a device used by a user who has signed up for a service provided by the management server 10 as an individual member. The store device 30 is a device used by a store owner who has signed up as a store owner member for a service provided by the management server 10 or an employee delegated with the store owner's authority. The user device 20 and the storage device 30 may communicate with the management server 10 by accessing the management server 10 through a network. The user device 20 and the storage device 30 may include a memory for storing programs and protocols for transmitting and receiving information, a microprocessor for calculating and controlling by executing various programs, and the like. The user device 20 and the store device 30 may include a personal computer, a laptop computer, a handheld device, a multiprocessor system, a network PC, a mini computer, a mainframe computer, a mobile phone, a mobile phone, a mobile communication terminal, a smart phone, a PDA, A tablet, a phablet, and the like may be exemplified. In particular, the user device 20 is preferably a smart phone, and the store device 30 is preferably a personal computer.

Then, the configuration of the aforementioned management server 10 will be described in more detail. 2 is a diagram for explaining the configuration of a management server for providing store information in table units in real time according to an embodiment of the present invention. 3 is a diagram for explaining the detailed configuration of a management server for providing store information in table units in real time according to an embodiment of the present invention.

Referring to FIG. 2 , the management server 10 according to an embodiment of the present invention includes a communication module 11, a storage module 12 and a control module 13.

The communication module 11 is for communicating with the user device 20 and the store device 30 through a network. The communication module 11 may transmit and receive data to and from the user device 20 or the store device 30 . The communication module 11 may include a modem that modulates a transmitted signal and demodulates a received signal in order to transmit and receive data through a network. The communication module 11 may transmit data received from the control module 13 to the user device 20 or the store device 30 through a network. In addition, the communication module 11 may transmit data received from the user device 20 or the store device 30 through a network to the control module 13 .

The storage module 12 serves to store programs and data necessary for the operation of the management server 10 . For example, the storage module 12 may store information such as store information received from the store device 30, maximum waiting time and appropriate waiting time according to the user's reservation of the user device 20. Various kinds of data stored in the storage module 12 can be registered, deleted, changed, or added according to the manager's operation.

The control module 13 may control the overall operation of the management server 10 and signal flow between internal blocks of the management server 10, and may perform a data processing function of processing data. The control module 13 may include a central processing unit (CPU), a graphic processing unit (GPU), a digital signal processor (DSP), and the like. As shown in FIG. 3 , the control module 13 includes a connection management unit 110, a search processing unit 120, an order processing unit 130, an occupancy management unit 140, and a current status management unit 150.

The access management unit 110 manages the membership sign-up process including individual members and store owner members, and serves to identify the user of the user device 20 and the store owner of the store device 30 connected to the management server 10. do. The search processing unit 120 serves to receive a search condition from the user device 20 and search for a restaurant having a table that meets the received search condition. The order processing unit 130 provides information for ordering to the user device 20 according to the search results of the search processing unit 120, receives the order from the user device 20, performs payment according to the order, and orders the order. It plays a role in managing the approval process for payment of The occupancy management unit 140 plays a role of predicting and managing whether or not the table for each restaurant is occupied through reservation and the occupied time. The status management unit 150 is to provide information on the status of ordering and cooking. Operations of the control module 13 including the aforementioned connection management unit 110, search processing unit 120, order processing unit 130, occupancy management unit 140 and current status management unit 150 will be described in more detail below. .

Next, a method for providing store information in table units according to an embodiment of the present invention will be described. 4 is a flowchart illustrating a method for providing store information in table units according to an embodiment of the present invention. 5 to 10 are examples of screens for explaining a method for providing store information in table units according to an embodiment of the present invention.

In FIG. 4 , it is assumed that the user device 20 is connected to the management server 10 through a network. Also, it is assumed that the user of the user device 20 has signed up as an individual member. Accordingly, it is assumed that the user of the user device 20 agrees to the use of the user's personal information and location information. In addition, it is assumed that the storage device 30 is connected to the management server 10 through a network. In addition, it is assumed that the store owner of the store device 30 has signed up as a store owner member. Accordingly, it is assumed that the store owner of the store device 30 agrees to the use of personal information and store information. In particular, the store information includes the restaurant's location, menu (Korean food, lunch, snack food, etc.), table type (window side, inside, hall, room, etc.) and layout, and occupancy status of each table.

In the above-described state, the search processing unit 120 provides the user device 20 with a form for setting search conditions for searching restaurants and tables in step S110, and searches from the user device 20 according to the user's input. Conditions are received and restaurants and tables that meet the received search conditions are searched. In step S110, search conditions for finding a restaurant and table desired by the user are set according to the user's input. Here, the search condition is at least one of the number of diners, menu (Korean food, lunch, snack food, etc.), expected waiting time, table location (window side, interior, hall, room, etc.), and distance from the location of the user or user device 20. includes Accordingly, the search processing unit 120 searches for restaurants and tables that meet the search conditions in the database updated in real time.

Then, the order processing unit 130 provides restaurant information, table information, and menu information about one or more restaurants searched according to the search results to the user device 20 in step S120, and provides the restaurant information and table information from the user device 20. Receive an order representing the restaurant, table, and menu selected based on the information and menu information. That is, in step S120, the user device 20 displays the restaurant information, table information, and menu information provided by the order processing unit 130, and the user browses the restaurant information, table information, and menu information, and based on this, the restaurant, You can input to select tables and menus. According to the user's input, the user device 20 may transmit an order for selecting a restaurant, table, and menu to the management server 10 .

An example of restaurant information is shown in FIG. 5 . As shown in FIG. 5 , the order processing unit 130 provides the location of a restaurant that satisfies the search condition on a map as a restaurant icon 51 with restaurant information. In particular, when there are a plurality of tables satisfying the search condition in one restaurant, the number 53 of tables meeting the search condition may be displayed as a number on the restaurant icon. In addition, when the restaurant icon 51 is selected, the order processing unit 130 may additionally provide additional information such as a name, business hours, average meal time, and remaining seats as restaurant information. The user can view restaurant information and select a restaurant through an input to the user device 20 .

When a restaurant is selected, table information may be provided. An example of table information is shown in FIG. 6 . As shown, table information may be provided through a layout diagram 71 showing the layout of tables inside the restaurant. The order processing unit 130 provides the position of the table in the restaurant, the number of people who can accommodate it, and whether or not it is occupied through the shape, text, and color of the layout map 71 . In addition, when a table occupied by another user (guest) is selected when any one table is selected from the layout diagram 71 by the user, the order processing unit 130 determines the maximum waiting time calculated when reserving the table. Time (MT) is given. The maximum waiting time (MT) represents the sum of all the time required for moving and waiting until the user arrives at the restaurant after making a reservation and starts eating, and this maximum waiting time (MT) will be described in more detail below. The user can browse table information and select a table through an input for selecting the number of people and a table to the user device 20 .

When a restaurant and seat are selected, menu information may be provided. An example of menu information is shown in FIG. 7 . As shown, the menu information includes menus and prices provided by the restaurant. The order processing unit 130 may provide a menu through text or pictures of food. The user can browse menu information and select a menu through an input to select a menu to the user device 20 .

The order processing unit 130 provides order details and payment amount according to the order in step S130 and a form for the user device 20 to display, information necessary for payment according to the user's input, that is, Receive payment information to allow payment for an order to be made. An example of such a screen is shown in FIG. 8 . At this time, it is assumed that payment for the order has been made by receiving payment information from the user device 20 according to the user's input.

Then, the order processing unit 130 transmits the order information including the manner score of the corresponding user to the corresponding store device 30 in step S140. The manner score is a score calculated based on whether the user arrives at the restaurant within the recommended waiting time (RT) or the maximum waiting time (MT) in the previous process of using the restaurant, and will be described in more detail below.

Then, the storage device 20 displays the order information including the manner score of the corresponding user, and the store owner who reads the order can accept or reject the order. When the storekeeper inputs acceptance or rejection, the store device 30 transmits an acceptance message or a rejection message to the management server 10 . Accordingly, the order processing unit 130 determines whether an acceptance or rejection message is received from the store device 30 through the communication module 11 in step S150.

As a result of the determination of step S150, the order processing unit 130 repeats steps S110 to S150 when the order is rejected through the rejection message of the store device 30. On the other hand, as a result of the determination in step S150, if the order is accepted through the acceptance message of the storage device 30, the user's order, that is, the reservation for the restaurant, table, and menu selected by the user is completed, and payment is approved. This is done, and proceeds to step S160.

The occupancy management unit 140 calculates the waiting time (T) in step S160 and provides the calculated waiting time (T) to the user device 20 so that the user can recognize it. Waiting time includes maximum waiting time (MT) and recommended waiting time (MT). The maximum waiting time (MT) represents the sum of all the time spent traveling and waiting until the user arrives at the restaurant after making a reservation and starts eating. The recommended waiting time (MT) represents an estimated value of the actual time required for moving and waiting until the user arrives at the restaurant after making a reservation and starts eating. That is, since the maximum waiting time (MT) is the sum of all factors required for waiting, it will actually take less time than that, and the recommended waiting time (MT) is an estimate of the actual waiting time. Therefore, the recommended waiting time (MT) means the recommended time for the user of the user device to arrive at the restaurant, and the maximum waiting time (MT) means the deadline at which the user must arrive at the restaurant.

In step S160, the occupancy management unit 140 first calculates the maximum waiting time (MT). When the maximum waiting time MT is calculated, the occupancy management unit 140 calculates the recommended waiting time RT from the maximum waiting time MT.

The maximum waiting time (MT) includes a cooking waiting time (CT), a table waiting time (TT), an entrance waiting time (ET), and a user movement time (MT). Among them, table waiting time (TT), admission waiting time (ET), and user movement time (MT) may be selectively used or may not be used.

The cooking waiting time CT includes a time required for cooking by a user's previous order and a time required for cooking by a user's order. The occupancy management unit 140 stores the average cooking time for each type and number of menus in advance. In addition, the occupancy management unit 140 calculates the cooking waiting time (CT) by applying the average cooking time according to the type and number of menus according to the user's previous order and the user's order.

The table waiting time (TT) indicates the time required for other people eating at the table reserved by the user when there are other users eating at the table reserved by the user. The occupancy management unit 140 divides the average meal time for each type and number of menus, time factor weights divided by meal time slots such as breakfast, lunch, dinner, weekdays, weekends, holidays and seasons, and the number of meals and gender. The person factor weights to be used are stored in advance. In addition, the occupancy management unit 140 calculates the table waiting time (TT) by applying an average meal time according to the type and number of menus of other users who are eating, and additionally applying time factor weights and people factor weights.

The entrance waiting time (ET) indicates the time required for the user to enter the restaurant reserved by the user when there are other people waiting in line. The occupancy management unit 140 stores in advance the average entrance time according to the waiting number and the waiting order of the corresponding restaurant. Accordingly, the waiting time for admission (ET) may be calculated by applying the average entrance time according to the number of users waiting and the waiting order.

The user movement time (MT) means the time required for the user to move from the current location to the reserved restaurant. The occupancy management unit 140 stores the average travel time for each location and means of transportation in advance, and applies the average travel time according to the location information received from the user device 20 and the means of transportation used when moving from the user device 20. to calculate the user movement time (MT).

The recommended waiting time (RT) is calculated by applying the restaurant weight (ω) to the maximum waiting time (MT) (RT=ω×TR, 0<ω<1). The restaurant weight (ω) is calculated using the average of the difference between the maximum waiting time (MT) of existing customers of the restaurant and the actual meal start time.

As described above, in step S160, the occupancy management unit 140 calculates at least one of the maximum waiting time (MT) and the recommended waiting time (RT) as the waiting time. provided by Accordingly, the user device 20 may display the standby time. An example of such a screen is shown in FIG. 9 . In the case of FIG. 9, the recommended waiting time (RT) is displayed through the timer 91.

The user can see the waiting time T through the user device 20 and recognize the time he or she has to arrive at the restaurant. After the user arrives at the restaurant, sits at a table, and scans the arrival code attached to the table through the user device 20, the user device 20 may transmit an arrival signal to the management server 10. An example of such a screen is shown in FIG. 10 . As shown in FIG. 10, the arrival code 101 may representatively exemplify a QR code. Upon receiving the arrival signal, the occupancy management unit 140 of the management server 10 may receive it through the communication module 11 in step S170 to confirm the arrival of the user and the arrival time.

Then, the occupancy management unit 140 compares the user's arrival time with the recommended waiting time and the maximum waiting time in step S180 to update the user's manner score. That is, the occupancy management unit 140 compares the user's arrival time with the recommended waiting time and the maximum waiting time, and if the arrival time is earlier than the recommended waiting time according to the comparison, the user device 20's manner score for the user , and if the arrival time is later than the maximum waiting time, the manner score for the user of the user device 20 is deducted.

When the user finishes eating and leaves, the storage device 30 may transmit a use completion signal indicating that use of the corresponding table is completed to the management server 10 according to the store owner's input. Then, the occupancy management unit 140 recognizes that the table is used, and updates table information in step S180.

Meanwhile, according to an additional embodiment of the present invention, the current status management unit 150 of the management server 10 may provide current status information by another process from the same time point as step S140. The status information is information indicating an order status and a cooking status of the ordered menu.

Status information can be divided into four states, and includes order reception, order acceptance, cooking start, and cooking completion states. Order reception indicates a state in which the store device 20 has received order information. When the store device 20 receives the order details, displays the received order details, and when the score indicates receipt confirmation, the store device 20 transmits a receipt confirmation message to the management server 10 . Accordingly, the status management unit 150 of the management server 10 that has received the acknowledgment message is converted to an order reception state.

As described above (S150), the store owner who has confirmed the order details including the user's manner score may accept or reject the corresponding order. At this time, when the store device 20 transmits an acceptance message according to the storekeeper's acceptance input, the order acceptance state is switched by the current status management unit 150 of the management server 10 that has received the acceptance message.

Also, when cooking starts, the storage device 20 may transmit a cooking start message according to the store owner's input. Accordingly, the cooking start state is switched by the current status management unit 150 of the management server 10 that has received the cooking start message.

When cooking is completed, the storage device 20 may transmit a cooking completion message according to the store owner's input. Accordingly, the status management unit 150 of the management server 10 that has received the cooking completion message converts the cooking start state.

Whenever four states including order reception, order acceptance, cooking start, and cooking completion states are changed in the status management unit 150, current status information indicating the changed status is provided to the user device 20. An example of such a screen is shown in FIG. 9 . As shown, current status information may be indicated by indicating the current status through the status icon 93 .

The present invention provides a real-time table usage status for restaurants that have a partner ship with the platform, that is, the management server 10, so that customers do not have to find another restaurant because there are no empty seats in the restaurant or sit at the table they want. It can greatly reduce the possibility of inefficiency, such as situations where it is not possible to do so. In addition, the present invention can know in advance how long to wait when there is no vacancy, and can order the desired food in advance, so that the customer can consider the time and financial opportunity costs incurred while waiting for the restaurant. can provide.

In addition, since the present invention can acquire table-level information in real time, it is possible to minimize inefficiency in wasting customers' traffic lines by providing information such as temporary closure and break time that can only be known by going to the site. Moreover, the present invention can process meal orders and seat selection remotely without face-to-face interaction between the clerk and the customer, thereby reducing the labor force in the restaurant. In addition, the present invention can realize effective distribution of potential customers among platform users by notifying real-time table usage status information for each store.

On the other hand, the present invention can improve the profits of store owners through improving the restaurant turnover rate. The present invention can grasp the density information of the space through the table usage status, which can activate the face-to-face consumption that has contracted due to the corona, thereby improving the possibility of a restaurant's flexible recovery. The present invention can calculate the behavior of customers using a restaurant as specific data, enabling efficient business through accurate and objective demand prediction. According to the present invention, guest behavior data can be widely used as fundamental data for realizing digital twins, and can also be used as fundamental data for implementing Data-Driven City and Compact City. Unlike existing services, the present invention provides information up to microscopic individual table units, so more specific and diverse data can be collected compared to previously acquired data. In addition, the present invention can be utilized for various decision-making and research in the policy, public, and private fields by utilizing the corresponding data. The present invention can create more demand in that it can be linked with various additional services as well as a function that recommends seats according to the needs of consumers through a filtering function.

In the present invention, if the data obtainable through the service is sufficiently accumulated in the form of big data, a platform business is possible in a form related to collection, processing, and processing using the data. Therefore, the present invention has industrial applicability because it is not only sufficiently commercially available or commercially viable, but also to the extent that it can be clearly practiced in reality.

On the other hand, the method according to the embodiment of the present invention described above can be implemented in the form of a program readable through various computer means and recorded on a computer-readable recording medium. Here, the recording medium may include program commands, data files, data structures, etc. alone or in combination. Program instructions recorded on the recording medium may be those specially designed and configured for the present invention, or those known and usable to those skilled in computer software. For example, recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks ( 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 the program command may include a high-level language that can be executed by a computer using an interpreter, as well as a machine language generated by a compiler. These hardware devices may be configured to act as one or more software modules to perform the operations of the present invention, and vice versa.

The present invention has been described above using several preferred examples, but these examples are illustrative and not limiting. As such, those skilled in the art to which the present invention belongs will understand that various changes and modifications can be made according to the doctrine of equivalents without departing from the spirit of the present invention and the scope of rights set forth in the appended claims.

10: management server 20: user device
30: burial device 11: communication module
12: storage module 13: control module
110: access management unit 120: search processing unit
130: order processing unit 140: occupancy management unit
150: Status management department

Claims (10)

In the method for providing table-based store information,
receiving a search condition from a user device by a search processing unit and searching for a restaurant having a table meeting the received search condition;
An order processing unit provides restaurant information, table information, and menu information for the searched one or more restaurants to the user device, and displays a restaurant, table, and menu selected based on the restaurant information, table information, and menu information from the user device. receiving; and
completing a reservation for a restaurant, table, and menu according to the order by an order processing unit when the payment for the order is made; and
providing, to the user device by an occupancy management unit, a waiting time representing an expected time required until a user of the user device completes a reservation and starts eating;
characterized in that it includes
Methods for providing store information. According to claim 1,
The waiting time is
Including the maximum waiting time and the recommended waiting time that is shorter than the maximum waiting time,
The step of providing the arrival time information is
calculating, by the occupancy management unit, the maximum waiting time, which is the sum of all times required for moving and waiting until the user arrives at the restaurant and starts eating after the reservation; and
calculating, by the occupancy management unit, the recommended waiting time, which is a value obtained by estimating the time actually required for moving and waiting until the user arrives at the restaurant after making a reservation and starts eating;
characterized in that it includes
Methods for providing store information. According to claim 2,
After providing the waiting time,
When receiving an arrival signal indicating an arrival time generated by scanning an arrival code attached to a table in a restaurant by the user device,
Comparing the arrival time with the recommended waiting time and the maximum waiting time by the occupancy management unit; and
According to the comparison, the occupancy management unit accumulates manner points for the user of the user device if the arrival time is earlier than the recommended waiting time, and if the arrival time is later than the maximum waiting time, the user of the user device deducting manner points;
characterized in that it further comprises
Methods for providing store information. According to claim 1,
The restaurant information
It includes a restaurant icon indicating the location of a restaurant that meets the search condition on the map and a number indicating the number of tables that meet the search condition,
The table information is
Characterized in that it includes a layout diagram showing the location of tables in the restaurant, the number of people to accommodate and occupancy through shape, text and color, and the maximum waiting time of occupied tables
Methods for providing store information. In the method for providing table-based store information,
The order processing unit provides restaurant information, table information, and menu information about one or more restaurants that meet the search conditions, and orders from the user device representing the restaurant, table, and menu selected based on the restaurant information, table information, and menu information. receiving; and
Completing a reservation according to the order by an order processing unit when the payment for the order is made; and
Calculating, by the occupancy management unit, a maximum waiting time, which is the sum of all times required for moving and waiting until the user arrives at the restaurant and starts eating after the reservation; and
calculating, by the occupancy management unit, the recommended waiting time, which is a value obtained by estimating the time actually required for moving and waiting until the user arrives at the restaurant after making a reservation and starts eating;
providing a waiting time including at least one of the maximum waiting time and the recommended waiting time by the occupancy management unit;
characterized in that it includes
Methods for providing store information. According to claim 5,
The step of calculating the maximum waiting time is
The occupancy management department
Cooking waiting time, which is the time required for cooking by the previous order of the user's order and the time required for cooking by the user's order;
When there are other users eating at the table reserved by the user, table waiting time, which is the time required for other people eating at the table reserved by the user,
If there are other people waiting in the restaurant reserved by the user, an admission waiting time indicating the time required for all the other people waiting for the user to enter the restaurant;
Characterized in that one or more of the user movement time, which is the time required for the user to move from the current location to the reserved restaurant, is calculated and added.
Methods for providing store information. According to claim 6,
The step of calculating the recommended waiting time is
The occupancy management unit calculates by applying a restaurant weight to the maximum waiting time,
Characterized in that the restaurant weight is the average of the difference between the maximum waiting time of existing customers of the restaurant and the actual meal start time
Methods for providing store information. In the apparatus for providing table-based store information,
a search processing unit for receiving a search condition from a user device and searching for a restaurant having a table meeting the received search condition;
Provides restaurant information, table information, and menu information for the searched one or more restaurants to the user device, and receives an order indicating a restaurant, table, and menu selected based on the restaurant information, table information, and menu information from the user device; ,
When payment for the order is made, an order processing unit that completes a reservation for a restaurant, table, and menu according to the order; and
an occupancy management unit that provides a waiting time representing an expected time required until the user of the user device completes a reservation and starts eating, to the user device;
characterized in that it includes
A device for providing store information. According to claim 8,
The waiting time is
Including the maximum waiting time and the recommended waiting time that is shorter than the maximum waiting time,
The occupancy management department
Calculate the maximum waiting time, which is the sum of all the time required for moving and waiting until the user arrives at the restaurant and starts eating after the reservation,
Characterized in that the user calculates the recommended waiting time, which is a value estimated by estimating the time actually required for movement and waiting until the user arrives at the restaurant after making a reservation and starts eating
A device for providing store information. According to claim 9,
The occupancy management department
When receiving an arrival signal indicating an arrival time generated by scanning an arrival code attached to a table in a restaurant by the user device,
Compare the arrival time with the recommended waiting time and the maximum waiting time,
According to the comparison, the occupancy management unit accumulates manner points for the user of the user device if the arrival time is earlier than the recommended waiting time, and if the arrival time is later than the maximum waiting time, the user of the user device Characterized in that the manner score is deducted
A device for providing store information.

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