JP6636093B2 - Information processing apparatus, information processing method and program - Google Patents

Description

  The present invention relates to an information processing apparatus, an information processing method, and a program, and more particularly, to information processing for table reservation of a restaurant or the like.

  Patent Literature 1 discloses a technique for searching for a salesperson who matches a customer's desire (budget or the like) in a VR (Virtual Reality) space. The technique disclosed in Patent Literature 1 aims to enhance communication between a customer and a salesperson and relates to information processing of matching between the customer and the salesperson.

JP 2012-00838A

  In the information processing of table reservation of a restaurant or the like (including securing a table for walk-in customers), a customer group used for visits or reservations is matched with the table and linked, so that tables, chairs, and seats used by the customer group can be used. (Hereinafter, the term "table" includes chairs and seats, etc.).

  However, when all tables have been linked, a new link may be required. There are various reasons, for example, all tables and customers, including a table that has already been linked and a spare table, to add a new customer group to the existing link, or to add a spare table, etc. There is a reason to link with a group. In this case, conventionally, all the existing links are released, and the matching is restarted from the beginning. This method is computationally intensive and wastes computer resources. Patent Literature 1 discloses a technique related to information processing of matching such as matching between a customer and a salesperson, but does not assume a case where a new link is required from the state of matching (linking). In Patent Document 1, in such a case, matching is simply redone from the beginning.

  The present invention has been made in view of the above-described circumstances, and in information processing for securing use of tables and seats, an information processing apparatus that efficiently links tables and the like to customer groups with limited resources, It is an object to provide a processing method and a program.

An information processing apparatus according to one embodiment of the present invention that achieves the above object includes a customer group information acquisition unit, a storage unit, and a control unit.
The customer group information acquisition unit acquires customer group information regarding a new customer group who has entered or reserved a store.
The storage unit stores a link between a plurality of customer groups and a table corresponding to each of the plurality of customer groups.
The control unit cancels one or more of the associations, and evaluates each of the evaluation values of the table and the new table where the association has been eliminated, and the customer whose association with the new customer group and the table has been eliminated. Match with group information.

  According to the above information processing apparatus, not all of the stored associations are eliminated, but only a part thereof is eliminated, and the customer table and the table whose association has been eliminated are matched. Can be efficiently performed with limited resources. It should be noted that canceling a part of the association and performing matching within the range of the customer group and the table including the resolved table and the customer group may be hereinafter referred to as “shuffle”.

In the information processing device, the control unit determines whether there is a table associated with the new customer group when the customer group information acquisition unit acquires the customer group information. Alternatively, one or more links stored in the storage unit may be canceled.
With this, when a new customer group arrives, part of the linking is canceled, and the customer table is matched with the table where the linking is canceled. Can be performed efficiently.

In the information processing device, when the matching is performed and the new customer group cannot be associated, the control unit selects a new association to be resolved, and associates the new customer group with the table. You may perform matching with each customer group information of the canceled customer group.
As a result, optimal matching can be performed even if partial linking is canceled and matching is performed not on the whole but on some tables and only some customer groups.

In the information processing device, the control unit may cancel the order in which the deviation from the evaluation value of the customer group linked to the table is large.
This makes it possible to optimize the association between the table and the customer group.

In the information processing device, the evaluation value of the customer group may be a difference between a reservation reception time and a reservation target time.
This makes it easier for groups that have enough time until the start of use of the table (use start time is an example of a reservation target time) to become the target of linking cancellation. Conversely, groups with a short time to start using are linked. Since it is less likely to be the object of cancellation, inconvenience is less likely to occur in store operations.

In the information processing device, the evaluation value of the customer group may be a difference between the allowable number of people in the table and the number of people in the customer group.
As a result, a table in which a small number of customer groups are assigned (linked) for the maximum allowable number of tables can be preferentially targeted for disassociation with the customer group, The link between the table and the customer group is optimized.

In the information processing device, the control unit may release the association in order from a table having the largest acceptable number of people.
As a result, a table having a large number of receivable persons, which is highly likely to have not been optimized, is preferentially subjected to association cancellation, and the association between the table and the customer group is optimized.

In the information processing device, the control unit may release the customer groups in ascending order of the customer unit price from among the associated customer groups.
This will ensure that groups that are likely to contribute to store sales will not be de-linked, and optimize the linking of tables and customer groups without losing customer satisfaction for such groups. Can be.

In the information processing device, when the matching of the new customer group is not successful, the control unit determines that the reservation of the new customer group is not allowed, and determines based on the association between the customer group whose association has been canceled and the table. May be returned.
Thereby, even when the information processing of the partial shuffle of the linking does not optimize the linking of the table and the customer group, the existing linking can be prevented from being affected.

  Another embodiment of the present invention that achieves the above object is to acquire customer group information relating to a new customer group who has entered or reserved a store, and associates a plurality of customer groups with a table corresponding to each of the plurality of customer groups. Is stored, and one or more of the associations are canceled, and each evaluation value of the table where the association is eliminated and the new table are associated with the new customer group and the customer group whose association with the table is eliminated. This is an information processing method for matching information with information.

  Another embodiment of the present invention that achieves the above object includes a step of obtaining, in a computer, customer group information relating to a new customer group who has entered or reserved a store, and corresponds to a plurality of customer groups and each of the plurality of customer groups. A step of storing a link with a table; a step of canceling one or more of the links; and a step of controlling the evaluation unit with each of the evaluation values of the table and the new table from which the link has been canceled. This is a program for executing a step of matching the customer group with the customer group information in which the association with the customer group and the table has been canceled.

  ADVANTAGE OF THE INVENTION According to this invention, in information processing of the use securing of a shop table and a seat, a table etc. and a customer group can be efficiently linked with limited resources.

1 is a block diagram illustrating a configuration of an information processing system according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating a hardware configuration of the information processing apparatus according to the embodiment of the present invention. FIG. 3 is a block diagram illustrating a configuration of a storage unit according to the embodiment of the present invention. 5 is an example of storage contents of a table information database according to the embodiment of the present invention. It is an example of the storage content of the customer group information database according to the embodiment of the present invention. It is an example of the storage content of the connection database which concerns on embodiment of this invention. It is a flow chart (the 1) of information processing concerning an embodiment of the present invention. It is a flow chart (the 2) of information processing concerning an embodiment of the present invention. It is a key map (the 1) for explaining matching of a table and a customer group in an embodiment of the present invention. It is a key map (the 2) for explaining matching of a table and a customer group in an embodiment of the present invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[Information processing system]
FIG. 1 is a configuration example of an information processing system (store operation support system 1) according to the present embodiment. The store operation support system 1 illustrated in FIG. 1 includes an information processing device 100, a reservation reception server 150, and a store terminal 200. FIG. 1 also shows a customer terminal 300 outside the store management support system 1.

  The shop terminal 200 is an example of a means for inputting customer information to the information processing device 100. The store terminal 200 may be specifically configured by a general-purpose computer, a smartphone, or the like. The employee provides information about the walk-in customer to the store operation support system 1 through the store terminal 200. The provided information is transmitted and input to the information processing apparatus 100.

  The customer terminal 300 is also an example of a unit for inputting customer information to the information processing device 100. Specifically, the customer terminal 300 may be configured by a general-purpose computer, a smartphone, or the like. The customer provides the information about the reservation to the store management support system 1 through the customer terminal 300. The provided information is transmitted and input to the information processing apparatus 100 via the reservation receiving server 150.

  In FIG. 1, the information processing apparatus 100 according to the present embodiment is installed in each restaurant. In this case, the store operation support system 1 is completed as an in-store information processing system. 2, the information processing apparatus 100 according to the present embodiment is installed as one of a cloud server group. In the case of such a configuration, the information processing regarding the reservation reception may be performed by another server (the reservation reception server 150).

[Information processing device]
FIG. 2 is a block diagram illustrating a hardware configuration of the information processing apparatus 100 according to the present embodiment. As shown in FIG. 2, the information processing apparatus 100 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, an input / output interface 15, and a bus connecting these to each other. 14 is provided.

  The CPU 11 accesses the RAM 13 and the like as necessary, and performs overall control of each block while performing various arithmetic processes. The ROM 12 is a non-volatile memory in which an OS (Operating System) to be executed by the CPU 11 and firmware such as programs and various parameters are fixedly stored. The RAM 13 is used as a work area or the like of the CPU 11, and temporarily stores an OS, various applications being executed, and various data being processed.

  The input / output interface 15 is connected to a display unit 16, an operation reception unit 17, a storage unit 18, a communication unit 19, and the like. The display unit 16 is a display device using, for example, an LCD (Liquid Crystal Display), an OELD (Organic Electro-Luminescence Display), a CRT (Cathode Ray Tube), or the like. The operation receiving unit 17 is, for example, a pointing device such as a mouse, a keyboard, and other input devices. Note that the display unit 16 and the operation receiving unit 17 may be integrated into one by a liquid crystal touch panel.

  The storage unit 18 is a non-volatile memory such as a hard disk drive (HDD), a solid state drive (SSD), and other solid-state memories. The storage unit 18 stores the OS, various applications, and various data.

  The communication unit 19 is, for example, various modules for wireless communication such as an NIC (Network Interface Card) and a wireless LAN. The communication unit 19 allows the information processing device 100 to transmit and receive data to and from other devices.

  The CPU 11 loads a software program stored in the ROM 12 to configure the control unit of the present embodiment. The storage unit 18 functions as a storage unit of the present embodiment. The input / output interface 15 functions as a customer group information acquisition unit and the like in the present embodiment.

  The hardware configuration of the reservation receiving server 150, the store terminal 200, and the customer terminal 300 can be the same as the configuration of the information processing device 100.

  According to the hardware configuration example shown in FIGS. 1 and 2, since information processing such as seat reservation is executed by the cloud, efficient information can be obtained when the number of stores increases and the number of store terminals 200 increases. Processing becomes possible.

[Data in storage unit]
Among various data stored in the storage unit 18, data related to the configuration and operation of the present embodiment will be described.

  FIG. 3 is a diagram illustrating a configuration example of various data stored in the storage unit 18. As illustrated, the storage unit 18 has a customer information database 181, a table information database 182, a customer group information database 183, and a linking database 184. The databases are associated with each other, and are constructed as a single relational database as a whole. Note that this configuration is an example for convenience of description, and in other embodiments, each database may not be a relational database or may be a simple storage table.

  The customer database 181 is a database that stores information on customers of one store or a group of stores sharing the same brand. The table information database 182 is a database that stores information such as tables and seats in a store. The customer group information database 183 is a database that stores customers (users) who have visited or reserved at stores in a grouped state. The linking database 184 is a database that stores linking of a customer group and a table used or scheduled to be used by the customer group.

  FIG. 4 shows a configuration example of the storage contents of the table information database 182. As shown in the table information 40a, 40b, 40c of FIG. 4, the table information 40 stores the table information 40 for each table.

  The table information 40 has at least one unique table identifier 41 for each table. The table information 40 relating to a table in which a plurality of tables are linked has a plurality of table identifiers 41. The table information 40 further includes position information 42, a maximum allowable number of persons 43, and evaluation value information 44 for each table identifier 41.

  The position information 42 is information on the position of the table specified by the table identifier 41 in the store. Although not limited, for example, the position information 42 may be position coordinates in a two-dimensional layout diagram in which the store is viewed from directly above. Alternatively, the information may be another type of information.

  The maximum allowable number of persons 43 is the upper limit of the number of persons who can be accepted and seated on the table specified by the table identifier 41. When a plurality of tables are connected, the total number of persons who add the maximum allowable number of persons 43 of the table identifier 41 of each table becomes the maximum number of persons that can be accepted in the connection table (table information 40).

  The evaluation value information 44 is information of an evaluation value which is an index indicating comfort of the table specified by the table identifier 41, a rank of a seat, and the like. The evaluation value information 44 may be an invariable value or may vary, and an initial value may be determined based on the rank of the seat. When a plurality of tables are linked, the arithmetic average or median of the evaluation value information 54 of the table identifier 41 of each table is used as the evaluation value of the linked table (table information 40).

  FIG. 5 shows a configuration example of the storage content of the customer group information database 183. As shown in the customer group information 50a, 50b, and 50c in FIG. 5, customer group information 50 is stored in the customer group information database 183 for each customer group.

  The customer group information 50 includes a customer group identifier 51, a number of people 52, a customer attribute 53, a use start time 54, and a reservation reception time 55. The customer group identifier 51 is a unique identifier for each customer group. The number of people 52 is information on the number of people in the customer group. The number of people may be one.

  The customer attribute 53 may be a customer attribute of a person registered in the customer information database 181 among the people included in the customer group. The customer attribute 53 may be automatically generated based on information (for example, information such as “male in thirties”) input by a store employee through the store terminal 200.

  The use start time 54 is information on the time when the customer group starts using the store. The reservation reception time 55 is information such as the time when the customer group made a reservation for use of the store using the customer terminal 300 and the reservation reception server 150.

  FIG. 6 shows a configuration example of the storage content of the association database 184. As shown in the linking information 60a, 60b, and 60c of FIG. 6, the linking database 184 stores the linking information 60 indicating the linking of the table and the customer group for each linking that has been established in combination. I have.

  There are various methods for expressing the association between the table and the customer group. In the present embodiment, since the association information 60 includes the table identifier 41 and the customer group identifier 51, the customer group is associated with the table. It means that you are In this embodiment, “attached” indicates a state in which the customer group is scheduled to use the table.

(Information processing)
7 and 8 show flowcharts of the information processing according to the present embodiment. The information processing in FIGS. 7 and 8 is performed by the CPU 11 functioning as a control unit and a customer group information acquisition unit unless otherwise specified. 9 and 10 are conceptual diagrams for explaining the matching between the table and the customer group.

  The information processing by the CPU 11 according to the present embodiment is roughly divided into a flow for executing the association of a normal table or the like with the customer group (FIG. 7), and the normal association is executed when the stock of the “matchable table” is exhausted. If it is not possible, the flow is divided into a flow (FIG. 8) for executing the association of some tables and the like with the customer group by the partial matching process. In a state where normal association is not possible, the CPU 11 executes a partial matching process (FIG. 8), thereby enabling association of a customer group with a table or the like within a limited resource range.

  The “matchable table” is a part of a table of a store, as shown in FIGS. 9 and 10, and is a seat prepared by the store for reservation or the like. In the present embodiment, it is assumed that the store additionally has a “table not used for matching” (FIGS. 9 and 10).

  Both "matchable tables" and "tables not used for matching" are not used and are reserved for use because the tables are used or reserved for use. Not a reduced number of tables. In FIG. 10, tables that are being used or reserved for use are shown in gray, and tables that are not used and are not reserved for use are shown by solid-line rectangles. For example, when the table is in use in FIG. 10, a solid-line rectangle indicating the table is grayed out.

  As a case where the table is in use, for example, there is a case where a new customer group comes to the store by walk-in. When the new customer group arrives at the store by walk-in, the employee of the store inputs the table identifier 41 of the table guiding the customer group and the information necessary for generating the customer group information 50 to the store terminal 200. The shop terminal 200 transmits the information to the information processing device 100. The table is in use by the CPU 11 of the information processing apparatus 100 having received the information performing the above-described normal linking process (FIG. 7).

  As a case where the table is reserved for use, for example, there is a case where a new customer group makes a reservation for visiting a store. When the new customer group makes a reservation for visiting the store, the customer terminal 300 and the reservation receiving server 150 transmit information necessary for generating the customer group information 50 to the information processing apparatus 100. The table is secured for use by the CPU 11 of the information processing apparatus 100 having received these pieces of information performing the above-described normal linking process (FIG. 7).

  However, in the normal linking process (FIG. 7), when there is no stock in the table that can be matched and normal linking by the CPU 11 cannot be executed, the CPU 11 executes a partial matching process (FIG. 8). In the present embodiment, the partial matching process is a process executed in an event-driven manner. The CPU 11 passes a start signal by inter-process communication from a normal linking process to a partial matching process. The CPU 11 starts the partial matching process in response to the start signal. In the following, the flow of the normal linking process (FIG. 7) and the flow of the subsequent partial matching process (FIG. 8) will be described.

  In FIG. 7, when detecting the occurrence of a reservation or the like (including an online reservation or a telephone reservation by the customer terminal 300, or entering a walk-in customer) (step ST11), the CPU 11 generates customer group information 50 of the new customer group. (Step ST12).

  The CPU 11 generates the customer group information 50 by generating a unique value and assigning it as a customer group identifier 51 to generate the customer group information 50. Further, the CPU 11 inputs the number of people 52 and the use start time 54 into the customer group information 50 based on the information input from the reservation reception server 150 or the store terminal 200. If the detected reservation is not a walk-in customer's entry to the store, but a reservation through the Internet or the like, the reservation reception time 55 is also input. Further, if it is possible to specify the customer stored in the customer information database 181 from the information input from the reservation reception server 150 or the store terminal 200, the CPU 11 also inputs the attribute 53 of the specified customer.

  Subsequently, the CPU 11 determines whether there is a table that can be matched with the new customer group (step ST13). For example, in the state shown in FIG. 10, there are three tables that can be matched, so that the CPU 11 determines that there is a table that can be matched with the new customer group (step ST13, Yes).

  If there is a table that can be matched with the new customer group (step ST13, Yes), the CPU 11 performs matching based on the customer group information 50 generated in step ST12 and the evaluation value information 44 of the table (step ST14). In step ST14, the CPU 11 generates linking information 60 as shown in FIG. 6 including the customer group identifier 51 and the table identifier 41 for the customer group and the table for which the matching has been established. The linking information database 184 stores the generated linking information 60.

  When there is no table that can be matched with the new customer group (step ST13, No), the CPU 11 executes a partial matching process described in detail with reference to FIG. 8 (step ST15).

  As illustrated in FIG. 8, in the partial matching process of the present embodiment, the CPU 11 includes, among the plurality of pieces of linking information 60 stored in the linking information database 184, the linking information 60 of the table that is not being used. Then, some linking information 60 is selected and the linking is canceled (step ST21).

  Next, the CPU 11 that has removed part of the linking adds a new table to the table from which the linking has been canceled to make a table for matching (step ST22). As shown in FIG. 10, in this step ST22, the CPU 11 randomly selects one or a plurality of tables from the tables not used for matching or based on the evaluation value information 44, and makes the tables belong to the tables that can be matched. As a result, the table belonging to the newly matching table can be used as a matching table because it is not in use. The table for matching is included in the table that can be matched in FIG. 10 and is shown as a table that is not grayed out.

  Note that if any of the tables that can be matched is one in which a plurality of tables are combined into one table, the CPU 11 may divide the plurality of combined tables in place of the processing in step ST22. Good.

  Next, the CPU 11 adds a new customer group to the customer group for which the association has been canceled to make a customer group for matching (step ST23). The new customer group added here is the customer group that made the reservation or the like that generated the customer group information in step ST12.

  Next, the CPU 11 matches the plurality of tables (matching tables) obtained in step ST22 with the plurality of customer groups (matching customer groups) obtained in step ST23 (step ST24). The CPU 11 performs the matching in step ST24 using the same logic as the matching in step ST14.

  In step ST24, the CPU 11 determines, based on the table information 40 (maximum allowable number 43, evaluation value information 44, etc.) of each table and the customer group information 50 (number 52, customer attribute 53, etc.) of each customer group. Match. At this time, the CPU 11 may perform the matching so that the number of persons 52 does not exceed the maximum allowable number of persons 43 and the difference is minimized in the entire matching. Further, the CPU 11 may perform matching so that the customer unit price estimated from the customer attribute 53 and the evaluation value information 44 have a positive correlation.

  Next, the CPU 11 determines whether or not the matching in step ST24 has finally succeeded (step ST25). When the matching is successful (Step ST25, Yes), the CPU 11 registers the link between the matched table and the customer group as the link information 60 in the link database 184, and updates the link database 184 (Step ST26). .

  On the other hand, if the matching is not successful (No in step ST25), the CPU 11 determines whether or not the link to be canceled by partially canceling the link in step ST21 can be changed (step ST27). For example, in a case where matching has been tried for all the links, the CPU 11 determines that the link to be eliminated is not changed (step ST27, No).

  If it is determined that the link to be canceled can be changed (step ST27, Yes), the CPU 11 returns to step ST21 to select a new link to be canceled. Then, the CPU 11 repeats steps ST21 to ST25. As a result, even when a part of the association is canceled and the matching is performed not on the whole but on some of the tables and only in some of the customer groups, the optimum matching is performed.

  If it is determined that the link to be canceled cannot be changed (step ST27, No), the CPU 11 cancels the reservation or the like on the assumption that a new customer group cannot be reserved (step ST28). Subsequently, the CPU 11 restores the link resolved in step ST21 and reflects the link in the link database 184 (step ST29).

  In addition, the case where “matching is not successful (step ST25, No)” in the above-described processing may include a case where a link to be eliminated in step ST21 cannot be selected. When the selection of the link to be canceled in step ST21 fails, the CPU 11 determines that the matching has not been successful (step ST25, No), thereby performing a partial matching process (information processing of a partial shuffle of the link). Does not result in optimizing the association between the table and the customer group, but does not affect the existing association.

[How to select linking information to cancel linking]
The method in which the CPU 11 selects the linking information for canceling the linking in step ST21 will be described below. In the present embodiment, it is assumed that the CPU 11 selects one or more items in descending order of the difference between the evaluation value information 44 of the table and the score calculated based on the customer group information 50 of the customer group. The score calculated based on the customer group information 50 of the customer group is hereinafter referred to as “customer group evaluation value”.

  The evaluation value of the customer group may be a difference between the reservation reception time 55 and the use start time 54 that is the reservation target time. Alternatively, the evaluation value of the customer group may be information including the difference. When at least a part or all of the evaluation value of the customer group is the difference between the reservation reception time 55 and the use start time 54, which is the reservation target time, the CPU 11 preferentially selects the customer group association information 60 with a large difference. Dissolve the link. This makes it less likely that unfairness that may occur due to the cancellation of the link with the table once secured will not occur. The evaluation value of the customer group may be a length of time from the current time to the use start time 54. In this case, a group that has a long time from the current time to the use start time 54 and has sufficient time until the start of use of the table is targeted for linking cancellation, and a group with a short time until start of use is linked. Since it is not a target for cancellation, inconvenience is unlikely to occur in the store operation.

  The evaluation value of the customer group may be the difference between the maximum allowable number 43 of the table and the number 52 of the customer group. Alternatively, the evaluation value of the customer group may be information including the difference. When at least a part or all of the evaluation value of the customer group is the difference between the maximum allowable number 43 of the table and the number 52 of the customer group, the CPU 11 preferentially links the association information 60 of the customer group having a large difference. Eliminate. As a result, a table in which a small number of customer groups are assigned (linked) for the maximum allowable number of tables can be preferentially targeted for disassociation with the customer group, The link between the table and the customer group is optimized.

  Alternatively, in step ST21, the CPU 11 may select a target of linking cancellation according to criteria other than the evaluation value of the customer group.

  For example, the CPU 11 may select the target of linking cancellation based on the maximum allowable number 43 of the table linked to the customer group. In this case, the larger the maximum permissible number 43 is, the higher the selection is made to cancel the linking. As a result, a table having a large number of receivable persons, which is highly likely to have not been optimized, is preferentially subjected to association cancellation, and the association between the table and the customer group is optimized.

  In addition, for example, the CPU 11 may select a target of linking cancellation based on the customer unit price estimated from the attribute 53 of the customer of the customer group linked to the table. In this case, the groups are selected in order from the group having the lowest customer unit price in order to cancel the linking. This will ensure that groups that are likely to contribute to store sales will not be de-linked, and optimize the linking of tables and customer groups without losing customer satisfaction for such groups. Can be.

[Supplement of action and effect]
Generally, in an information processing apparatus for table reservation of a restaurant or the like (including securing a table for walk-in customers), the information processing apparatus matches a customer group by visiting or making a reservation with the table and associates it with the table. A table used by the customer group can be secured. Note that a seat or a seat may be linked to a customer or a customer group in addition to a table.

  However, there is no stock of tables that can be linked (a part of the tables in the store, but not all of them), that is, a state in which the customer group has been linked to all the tables that can be linked. When a new customer group comes to the store or makes a reservation, the information processing apparatus that accepts the reservation usually cannot accept the reservation and refuse the reservation.

  In the above embodiment, the CPU 11 selects at least one new table from the remaining tables excluding the table that can be linked from all the tables in the store and increases the number of tables that can be linked (step ST22). . The CPU 11 performs this information processing, so that even if a new customer group visits or makes a reservation in a state where the association with all the tables that can be associated with the customer group has been completed, the reservation can be accepted. become able to.

  As described above, if the CPU 11 adds a table that can be linked as a new table as indicated by an arrow in FIG. 10, a new reservation can be received. If a possible table and a new customer group are simply matched by existing information processing, the existing linked customer group may be preferentially treated. In this case, other customers may feel unfair.

  In order to avoid the occurrence of the unfairness, the CPU 11 may cancel the existing linking and perform a new matching. Then, it is possible to respond to a visit or reservation of a new customer group without impairing customer satisfaction. However, if the CPU 11 cancels all the existing links and starts matching again from the beginning each time a reservation or the like occurs, the processing becomes extremely heavy and is not realistic.

  Therefore, in the above embodiment, the CPU 11 cancels a part of the association (step ST21) and performs matching within the eliminated range (step ST24), or within a range obtained by adding a new table to the eliminated range. Matching is performed (step ST22, step ST24). When a new customer group comes to the store, the CPU 11 cancels a part of the association and matches the customer group with the table where the association is eliminated. According to the above embodiment, the CPU 11 associates the table with the customer group. The attachment is performed efficiently with limited resources.

  The above embodiment is an example of an embodiment of the present invention, and various modifications can be made.

1. Store operation support system 11: CPU
Reference Signs List 18 storage unit 19 communication unit 40 table information 50 customer group information 60 linking information 181 customer information database 182 table information database 183 customer group information database 184 linking information database 100 information processing device 150 … Reservation reception server

Claims (11)

A customer group information acquisition unit for acquiring customer group information relating to a new customer group who has entered or reserved a store,
A storage unit that stores associations between a plurality of customer groups and tables corresponding to each of the plurality of customer groups,
Comprising a control unit for canceling one or more of the tying,
The information processing apparatus, wherein the control unit matches the respective evaluation values of the table and the new table from which the association has been eliminated with the customer group information from which the association with the new customer group and the table has been eliminated. The information processing device according to claim 1,
The control unit determines whether there is a table associated with the new customer group when the customer group information acquisition unit acquires the customer group information, and stores the table in the storage unit when there is no table associated with the new customer group. An information processing device that cancels one or more linked data items. The information processing device according to claim 1 or 2,
As a result of performing the matching, if the new customer group is not associated with the new customer group, the controller selects a new association to be canceled, and selects the new customer group and the customer group whose association with the table has been eliminated. An information processing device that performs matching with each customer group information. The information processing apparatus according to claim 3, wherein
The information processing apparatus, wherein the control unit cancels in ascending order of a difference between the table and the evaluation value of the customer group linked to the table. The information processing apparatus according to claim 4, wherein
The information processing device, wherein the evaluation value of the customer group is a difference between a reservation reception time and a reservation target time. The information processing apparatus according to claim 4, wherein
The information processing device, wherein the evaluation value of the customer group is a difference between an allowable number of people in a table and a number of people in the customer group. The information processing apparatus according to claim 4, wherein
The information processing device, wherein the control unit cancels the association in order from a table having the largest number of people who can be accepted. The information processing apparatus according to claim 4, wherein
The information processing device, wherein the control unit sequentially releases the customer groups having the lowest customer unit price in the associated customer groups. The information processing apparatus according to claim 1, wherein:
The information processing apparatus, wherein when the matching is not possible, the controller disables the reservation of the new customer group and restores the association between the customer group whose association has been canceled and the table. A customer group information acquisition unit of the information processing device acquires customer group information regarding a new customer group who has entered or reserved a store,
The storage unit of the information processing device stores associations between a plurality of customer groups and a table corresponding to each of the plurality of customer groups,
The control unit of the information processing device cancels one or more of the tying,
The information processing method , wherein the control unit matches each evaluation value of the table and the new table in which the association has been eliminated with the customer group information in which the association with the new customer group and the table has been eliminated. On the computer,
Obtaining customer group information about a new customer group who has entered or reserved a store,
A step of Ru to store the association of the table corresponding to each of a plurality of customer groups and the plurality of customer groups in the storage unit,
Canceling one or more of the tying of the tying;
Program for executing the respective evaluation values of the association is resolved tables and new tables, and new customer group and customer group information linking the table has been eliminated, the step of matching.

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