JP6955654B1 - Map store batch distribution system, map store batch distribution method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a map store batch distribution system, a map store batch distribution method and a program capable of batch distribution of store information to a plurality of stores on map data. .. SOLUTION: A map store batch distribution system 1 that collectively distributes store information to a plurality of stores scattered on map data displays a plurality of stores scattered on the map data. Grouping is performed from a predetermined viewpoint, a desired group is specified from the grouped groups, the store information is generated, and the generated store information is generated for the stores on the map data belonging to the specified group. Is delivered in a batch. [Selection diagram] Fig. 1

Description

The present invention relates to a map store batch distribution system, a map store batch distribution method, and a program that collectively distributes store information to a plurality of stores scattered on map data.

In recent years, a technique for managing store information (for example, store name, photo, business hours, posting of blog or SNS (Social Networking Service)) on map data has attracted attention.
For example, in Patent Document 1, only advertisements necessary for the user can be delivered, advertisement information of a chain store related to the set store can be delivered, and further, appropriate according to the user's means of transportation. The technology for distributing various store information is disclosed.
Further, Patent Document 2 discloses a technique for inducing a user who has accessed an advertisement on a web page to purchase a product.

Japanese Unexamined Patent Publication No. 2012-078305 Japanese Unexamined Patent Publication No. 2014-032567

Consumers often search for stores on map data, and posting store information on map data has come to greatly contribute to the expansion of store sales.
However, the store information can be distributed to the stores on the map data only one store at a time.
Therefore, it is very inefficient for a company that develops a chain or franchise of a plurality of stores to distribute store information one by one to a plurality of stores scattered on the map data.

Even with the technique of Patent Document 1, it was not possible to collectively distribute store information to a plurality of stores scattered on the map data.
Further, even with the technique of Patent Document 2, it is not possible to collectively distribute store information to a plurality of stores scattered on the map data.

An object of the present invention is to provide a map store batch distribution system, a map store batch distribution method, and a program capable of batch distribution of store information to a plurality of stores scattered on map data. And.

The present invention provides the following solutions.

The present invention is a map store batch distribution system that collectively distributes store information to a plurality of stores scattered on the map data, and a plurality of stores scattered on the map data. , A grouping means for grouping from a predetermined viewpoint, a designation means for designating a desired group from the grouped groups, a generation means for generating the store information, and the map data belonging to the designated group. A map store batch distribution system including a distribution means for collectively distributing the generated store information to stores is provided.

According to the present invention, the map store batch distribution system that collectively distributes store information to a plurality of stores scattered on the map data can provide the plurality of stores scattered on the map data. , Grouping from a predetermined viewpoint, designating a desired group from the grouped groups, generating the store information, and generating the store for the store on the map data belonging to the designated group. Distribute information in a batch.

The present invention is a category of a map store batch distribution system, but other categories such as methods and programs also exhibit similar actions and effects according to the category.

According to the present invention, it is provided to provide a map store batch distribution system, a map store batch distribution method and a program capable of batch distribution of store information to a plurality of stores scattered on map data. Is possible.

FIG. 1 is a diagram showing an outline of the map store batch distribution system 1. FIG. 2 is an overall configuration diagram of the map store batch distribution system 1. FIG. 3 is a diagram showing a flowchart of a grouping process executed by the computer 10. FIG. 4 is a diagram showing a flowchart of a distribution process executed by the computer 10. FIG. 5 is a diagram showing a flowchart of advice processing executed by the computer 10. FIG. 6 is a diagram showing a flowchart of a reservation distribution process executed by the computer 10. FIG. 7 is a diagram showing an example of store information generated by the computer 10. FIG. 8 is a diagram showing an example of advice given by the computer 10.

Hereinafter, embodiments for carrying out the present invention (hereinafter, embodiments) will be described in detail with reference to the accompanying drawings. In the following figures, the same elements are given the same numbers or symbols throughout the description of the embodiments.

[Basic concept / Basic configuration]
FIG. 1 is a diagram for explaining an outline of the map store batch distribution system 1. The map store batch distribution system 1 provides store information (for example, the above-mentioned store name, photo, business hours, menu, blog, and SNS (Social Networking Service)) to a plurality of stores scattered on the map data. It is a system including at least a computer 10 that distributes a post). It is assumed that a plurality of stores 5 are already registered in the map data, and the store information of the store 5 is displayed on the terminal or the like in response to an operation from the user or the like of the map data. The map data may include data output by a map search engine capable of searching stores on the map.

An outline of the processing steps executed by the map store batch distribution system 1 will be described.
First, the computer 10 groups a plurality of stores 5 scattered on the map data from a predetermined viewpoint (step S1). The predetermined viewpoint is, for example, stores of the same chain, stores of the same brand name, stores located in a specific area, and all stores.
The computer 10 groups a plurality of stores 5 into one or a plurality of groups based on a preset viewpoint or a viewpoint designated by the administrator. At this time, the computer 10 may be grouped into only one group for one store, or may be grouped into a plurality of groups for one store. In FIG. 1, as an example of grouping, the stores 5 surrounded by a circle are shown as one group.

The computer 10 designates a desired group from the grouped groups (step S2).
The computer 10 receives input of a group desired by the administrator via an input device such as a physical or virtual keyboard, a mouse, or a touch panel, or an administrator terminal possessed by the administrator of the map store batch distribution system 1. The computer 10 designates the received group as a group desired by the administrator. In FIG. 1, the group desired by the administrator is shown as a circle shown by a solid line.

The computer 10 generates store information (step S3).
The computer 10 accepts the input of the above-mentioned store name, photo, business hours, menu, blog, and SNS post as store information via an input device or an administrator terminal. The computer 10 generates store information based on the received information.

The computer 10 collectively distributes the generated store information to the stores 5 on the map data belonging to the designated group (step S4).
The computer 10 transmits the generated store information to the map data, and causes each store 5 belonging to the designated group to register the store information. The distribution in the present embodiment includes not only transmission to the map data but also change or addition of the store information already registered in the map data, and when the store information is a blog or SNS post, this is added. It includes posting as store information.

According to such a map store batch distribution system 1, the generated store information can be batch-distributed to a plurality of stores 5 on the map data belonging to the designated group.

[Functional configuration]
The functional configuration of the map store batch distribution system 1 will be described with reference to FIG. The map store batch distribution system 1 includes map data (not shown) and a computer 10 connected to enable data communication via a network such as a public line network.
The map store batch distribution system 1 may include an administrator terminal, other terminals, devices, and the like possessed by the administrator of the map store batch distribution system 1. In this case, the map store batch distribution system 1 is composed of any or a plurality of combinations of the computer 10, the administrator terminal, and the like, which will be described later.

The computer 10 is a computer having a server function, a personal computer, or the like, and is connected to the above-mentioned map data via a network so as to be capable of data communication, and executes necessary data transmission / reception and various processes.

The computer 10 may be realized by, for example, one computer or a plurality of computers such as a cloud computer.

The computer 10 is provided with a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. as a control unit, and is used as a communication unit with other terminals, devices, and the like. A device for enabling communication, for example, a Wi-Fi (Wi-Fi (Wi-Fi) compatible device) compliant with IEEE802.11 and the like are provided. Further, the computer 10 includes a data storage unit such as a hard disk, a semiconductor memory, a recording medium, and a memory card as a storage unit. Further, the computer 10 includes various devices and the like that execute various processes as a processing unit.

In the computer 10, the control unit reads a predetermined program to realize the distribution module 20 in cooperation with the communication unit. Further, in the computer 10, the control unit reads a predetermined program to realize the storage module 30 in cooperation with the storage unit. Further, in the computer 10, when the control unit reads a predetermined program, the grouping module 40, the designated module 41, the generation module 42, the aggregation module 43, the analysis module 44, and the advice module 45 are determined in cooperation with the processing unit. The module 46 is realized.

[Grouping process]
The grouping process executed by the computer 10 will be described with reference to FIG. FIG. 3 is a diagram showing a flowchart of a grouping process executed by the computer 10. The process executed by each of the above-mentioned modules will be described together with this process. The grouping process is the details of the grouping process (step S1) described above.

The grouping module 40 groups a plurality of stores 5 scattered on the map data from a predetermined viewpoint (step S10). As described above, the predetermined viewpoints are stores of the same chain, stores of the same franchise, stores of the same brand, stores located in a specific area, all stores, and the like. The stores of the same chain are the same stores and affiliated stores that develop the chain. Stores of the same franchise are the same stores and affiliated stores that develop franchises. Stores of the same brand are stores with the same name. A store located in a specific area is a store existing at a specific address (for example, prefecture, municipality) or region (for example, urban area, rural area). All stores are all stores managed by the manager. The grouping module 40 groups a plurality of stores 5 based on a viewpoint set in advance by the computer 10 or a viewpoint designated by the administrator.

The grouping module 40 groups each store 5 into one or more groups based on one or more viewpoints. When grouping, the grouping module 40 groups the stores 5 of the same chain as one group among the stores 5 when grouping from the viewpoint of the stores of the same chain. The grouping module 40 groups the stores 5 corresponding to this viewpoint into one group in the same manner from the other viewpoints. Grouping based on a plurality of viewpoints means, for example, stores located in a specific area and having the same brand. In other words, it can be grouped at stores of the same yakiniku brand located in Shibuya Ward. Further, for example, a store located in a specific area, having the same franchise, and having the same brand. In other words, it is located in Shibuya Ward, is developed by the same franchise, and can be grouped at stores of the same yakiniku brand.

As a result, the grouping module 40 groups one or a plurality of stores 5 into one group. The grouping module 40 may group one store 5 into only one group, or may group one store into a plurality of groups. That is, it is possible that the store 5 belonging to a certain group belongs to a group based on a viewpoint different from this group.

The storage module 30 stores the grouping result (step S11). The storage module 30 stores an identifier such as a group name or management number grouped by the grouping module 40 in association with a store 5 belonging to this group. The grouping result stored in the storage module may be in a format in which the store 5 is stored for each group identifier, in a format in which the group identifier is stored for each store 5, or in other formats. It may be in the form.

The above is the grouping process.

[Delivery process]
The distribution process executed by the computer 10 will be described with reference to FIG. FIG. 4 is a diagram showing a flowchart of a distribution process executed by the computer 10. The process executed by each of the above-mentioned modules will be described together with this process. This distribution process is a process performed after the above-mentioned grouping process is executed. The distribution process is the details of the group designation process (step S2), the store information generation process (step S3), and the store information batch distribution process (step S4) described above.

The designation module 41 designates one or more desired groups from the grouped groups (step S20). The designation module 41 receives the input of the group desired by the administrator via the above-mentioned input device or the administrator terminal. The designation module 41 receives the input of the group and the store 5 stored by the process of step S11 described above, and the input of the store 5 displayed on the map data. The designation module 41 designates the accepted group as a desired group. Further, the designation module 41 designates the group to which the received store 5 belongs as a desired group. The designation module 41 designates this group as a desired group when the received stores 5 are grouped into only one group, and further, when the received stores 5 are grouped into a plurality of groups, the grouped plurality. The input of one group is accepted from among the groups of, and the accepted one group is designated as a desired group. To specify a plurality of desired groups, for example, a group of stores located in a specific area and a group of stores of the same brand can be specified at the same time. In this case, a group of stores located in a specific area is also targeted for distribution, and a group of stores of the same brand is also targeted for distribution. In other words, all stores in Shibuya Ward, stores of the same yakiniku brand, or stores belonging to either group are eligible for distribution. Further, for example, a group of stores located in a specific area, a group of stores of the same chain, and a group of stores having the same brand name can be specified at the same time. In this case, a group of stores located in a specific area will also be targeted for distribution, a group of stores of the same chain will also be targeted for distribution, and a group of stores of the same brand will also be targeted for distribution. Become. In other words, all stores belonging to any group, such as stores in Shibuya Ward, stores of the same chain, stores of the same yakiniku brand, are targeted for distribution.

The storage module 30 stores the designated group (step S21). The storage module 30 stores the identifier of the group designated this time as the designated group.

The generation module 42 generates store information (step S22). As described above, the store information includes store names, photographs, business hours, menus, blogs, SNS posts, and the like. In addition, the store information is not limited to these, for example, the URL (Uniform Resource Identifier) of the website or the official online shop, the contents of the campaign being held or scheduled to be held, various announcements, store renewal information, opening of other stores. It may also include information about stores, store closures, and employment information. The generation module 42 accepts such input of store information and generates the received information as store information.

The store information generated by the generation module 42 will be described with reference to FIG. 7. FIG. 7 is a diagram showing an example of store information generated by the generation module 42. The generation module 42 accepts input of store name, photo, business hours, menu, blog, and SNS post as store information. The store name is the name of the store, the photo is an image taken by the administrator or an image acquired from another terminal, etc., the business hours are the business hours of this store, and the menu is provided at this store. It is an explanation or an image of a product or food or drink to be used, and a blog or SNS post is a URL that is a link to the post itself or the posting destination created by the administrator. The generation module 42 accepts these inputs and generates a summary of the accepted inputs as store information. The generation module 42 is not limited to this example, and includes store information such as URLs of websites and official online shops, contents of campaigns being held or scheduled to be held, various notifications, store renewal information, and opening and closing of other stores. Information, employment information, and the like may be input and generated in the same manner as the store information shown in FIG. 7.

Returning to FIG. 4, the continuation of the distribution process will be described.
The distribution module 20 collectively distributes the generated store information to a plurality of stores 5 on the map data belonging to the designated group (step S23). The distribution module 20 collectively distributes the store information generated by the process of step S22 to all the stores 5 belonging to the group stored by the process of step S21 described above. The distribution module 20 transmits the generated store information to the map data, and causes the store 5 belonging to the designated group on the map data to register the store information. The distribution module 20 causes the store information to be newly registered in the store 5 when the store information is not registered in the store 5, and transmits the registered store information this time when the store information is already registered in the store 5. Update or add with the contents of the store information to be used. Delivery includes updates, additions, changes, deletions, and the like. The map data will display the registered store information for the user.
The distribution module 20 may collectively distribute the generated store information to the stores 5 that satisfy a predetermined condition among the plurality of stores 5 on the map data belonging to the designated group. Predetermined conditions are, for example, the number of visitors, the number of visitors, the number of employees, the store area, the presence or absence of store-limited services and menus, the presence or absence of late-night business, the presence or absence of parking lots, the presence or absence of tatami rooms, and credit cards. And whether or not electronic money can be used. In this case, the storage module 30 stores in advance a predetermined condition and the store 5 that satisfies this condition in association with each other. The designation module 41 designates a condition by accepting an input of the condition. The distribution module 20 transmits the store information generated by the process of step S22 to the map data for all the stores 5 belonging to the designated group and satisfying the stores associated with the designated conditions. Then, the store information is registered in the store 5 that belongs to the specified group on the map data and satisfies the specified condition.

The above is the distribution process.

The map store batch distribution system 10 can batch distribute the generated store information to a plurality of stores 5 on the map data belonging to the designated group by the grouping process and the distribution process described above.

[Advice processing]
The advice processing executed by the computer 10 will be described with reference to FIG. FIG. 5 is a diagram showing a flowchart of advice processing executed by the computer 10. The process executed by each of the above-mentioned modules will be described together with this process. This advice process is a process performed after the above-mentioned delivery process is executed.

The aggregation module 43 aggregates the number of views of the delivered store information (step S30). The number of times the store information is browsed is the number of times the map data user browses the store information of each store 5 in the map data. The aggregation module 43 aggregates the number of views of the store information in each store 5 to which the store information is distributed, which is acquired by the computer 10 from the map data. At this time, the aggregation module 43 is in a predetermined time unit (for example, every hour, every 12 hours, every 24 hours) or at a predetermined timing before and after delivery of store information (for example, before delivery, immediately after delivery, and after a certain period of time has elapsed after delivery. ), The number of views is totaled. The aggregation module 43 may aggregate the number of views of store information in each store 5 belonging to the group to which the store information is distributed, or aggregate the number of views of store information in all the stores 5 belonging to this group. Is also good. Further, the aggregation module 43 may aggregate not only the total number of views of the store information but also the number of individual views, for example, the number of views of the blog and the number of views of the menu.

The analysis module 44 analyzes the total number of views (step S31). The analysis module 44 analyzes the transition of the number of views with the passage of time, the transition of the number of views with the distribution of store information, the number of views at each time, and the like based on the total number of views of the store information. As a result of the analysis, the computer 10 has the timing when the number of views is the maximum, the timing when the number of views is the minimum, the menu with a large number of views, the menu with a small number of views, and the blog or SNS with a large number of views. The posted content, conversely, the posted content of a blog or SNS with a small number of views, etc. will be acquired.

The advice module 45 executes advice for increasing the number of views based on the analysis result (step S32). The advice module 45 distributes the store information at the timing of increasing the number of views based on the contents acquired from the result of the analysis by the process of step S31 described above, the transition of the number of views of the store information, the number of views itself, and the like. Create advice such as proposing, proposing a menu that increases the number of views, and proposing the content of blogs and SNS posts that increase the number of views.
In addition, when there are a plurality of contents of advice for increasing the number of views, the advice module 45 weights in the order of effectiveness for increasing the number of views, creates advice in the order of effectiveness, and ranks the created advice in a ranking format. Or graph format, etc. may be executed in a visually recognizable state.
The advice module 45 outputs this advice to the administrator by outputting the created advice to its own display unit or the like. That is, the advice module 45 executes the advice by outputting the created advice.

Based on this advice, the administrator can easily increase the number of views such as the timing of distributing store information, the contents of menus, and the contents posted on blogs and SNS.

The advice executed by the advice module 45 will be described with reference to FIG. FIG. 8 is a diagram showing an example of advice executed by the advice module 45. In FIG. 8, the advice module 45 is in a state where the created advice is displayed on the display unit. As the content of the advice, the timing of posting store information, the content posted on blogs and SNS, and the content of menus are shown. In the present embodiment, a plurality of advices are output collectively, but only one piece of advice may be output, or when a plurality of pieces of advice exist, they may be displayed individually. Further, as described above, advice may be output in the order of effectiveness for increasing the number of views.
The content of the advice is not limited to the above-mentioned example, and may be other content.

The above is the advice processing.

[Reservation delivery processing]
The reservation delivery process executed by the computer 10 will be described with reference to FIG. FIG. 6 is a diagram showing a flowchart of a reservation distribution process executed by the computer 10. The process executed by each of the above-mentioned modules will be described together with this process. This reservation distribution process is a process for performing the above-mentioned distribution process and advice process after execution. Further, detailed description of the same processing as each of the above-mentioned processing will be omitted.

The designation module 41 designates a desired group from the grouped groups (step S40). The process of step S40 is the same as the process of step S20 described above.

The storage module 30 stores the designated group (step S41). The process of step S41 is the same as the process of step S21 described above.

The determination module 46 determines the update content and the delivery time of the store information (step S42). The updated contents of the store information are, for example, changes in business hours, additions and changes in menus, new posts on blogs and SNS, and corrections in past posts. The determination module 46 accepts the input of the update content for the store information delivered by the process of step S22 described above, and determines the update content of the store information based on the accepted content. Further, the determination module 46 determines the distribution time of the store information based on the distribution time based on the advice executed by the process of step S32 described above and the distribution time when the input from the administrator is received. The determination module 46 can also determine the distribution schedule. For example, the schedule for delivery every Wednesday at 12:00 can be determined. In addition, the determination module 46 can also determine whether to distribute a part or all of the generated store information. For example, the determination module 46 can determine, among the generated store information, to distribute discount information every Wednesday and to distribute the addition of a new menu on the first day of every month.

The distribution module 20 determines whether or not the current time has reached the distribution time (step S43). When the distribution module 20 determines that the current time has not reached the distribution time (step S43 NO), the distribution module 20 repeats this process until the distribution time is reached.

On the other hand, when the distribution module 20 determines that the current time has reached the distribution time (step S43 YES), the distribution module 20 determines the store information for the plurality of stores 5 on the map data belonging to the designated group. The updated contents of the above are delivered in a batch (step S44). The distribution module 20 collectively distributes the updated contents of the store information determined by the process of step S42 to all the stores 5 belonging to the group stored by the process of step S41 described above. The distribution module 20 transmits the updated contents of the store information to the map data, and updates the store information registered in the store 5 belonging to the designated group on the map data according to the updated contents. When the update content is related to the one that has already been registered, the distribution module 20 updates the store information registered with the update content transmitted this time. Further, when the update content is related to the one that is not registered, the distribution module 20 adds the store information registered in the update content transmitted this time and updates the store information. Delivery includes updates, additions, changes, deletions, and the like. The map data will display the updated store information to the user.

The above is the reservation delivery process.

(1) A map store batch distribution system that collectively distributes store information to multiple stores scattered on map data.
A grouping means (for example, a grouping module 40) for grouping a plurality of stores scattered on the map data from a predetermined viewpoint,
A designation means (for example, a designation module 41) for designating a desired group from the grouped groups, and
A generation means (for example, generation module 42) for generating the store information (for example, FIG. 7) and
A distribution means (for example, a distribution module 20) that collectively distributes the generated store information to stores on the map data belonging to the designated group.
Map store batch distribution system equipped with.

(2) A totaling means (for example, a totaling module 43) for totaling the number of views of the distributed store information, and
An analysis means (for example, analysis module 44) for analyzing the total number of views, and
Based on the analysis result, an advice means (for example, advice module 45) for executing the advice for increasing the number of views (for example, FIG. 8), and
The map store batch distribution system described in (1).

(3) A determination means (for example, determination module 46) for determining the update content and delivery time of the store information, and
With more
The distribution means distributes the updated contents of the determined store information at the determined distribution time.
The map store batch distribution system described in (1).

(4) The grouping means groups a plurality of stores scattered on the map data from a desired plurality of viewpoints.
The map store batch distribution system described in (1).

(5) The designation means designates a plurality of desired groups from the grouped groups.
The map store batch distribution system described in (1).

(6) A map store batch distribution method executed by a map store batch distribution system that collectively distributes store information to a plurality of stores scattered on map data.
A step of grouping a plurality of stores scattered on the map data from a predetermined viewpoint (for example, step S10), and
A step of designating a desired group from the grouped groups (for example, step S20) and
The step of generating the store information (for example, step S22) and
A step of collectively distributing the generated store information to the stores on the map data belonging to the designated group (for example, step S23).
Map store batch distribution method with.

(7) On the computer
A step of grouping a plurality of stores scattered on the map data from a predetermined viewpoint (for example, step S10).
A step of designating a desired group from the grouped groups (for example, step S20).
Step of generating store information (for example, step S22),
A step of collectively distributing the generated store information to stores on the map data belonging to the designated group (for example, step S23).
A program to execute.

The above-mentioned means and functions are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program is provided, for example, in the form of being provided via a network from one or more computers (Cloud Service, SaaS: Software as a Service). The program is also provided, for example, in the form of being recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers the program to the internal recording device or the external recording device, records the program, and executes the program. Further, the program may be recorded in advance on a recording device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and provided from the recording device to a computer via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. In addition, the effects described in the embodiments of the present invention merely list the most preferable effects arising from the present invention, and the effects according to the present invention are limited to those described in the embodiments of the present invention. is not it.

1 Map store batch distribution system 10 Computer 20 Distribution module 30 Storage module 40 Grouping module 41 Designated module 42 Generation module 43 Aggregation module 44 Analysis module 45 Advice module 46 Decision module

Claims (7)

It is a map store batch distribution system that collectively distributes store information to multiple stores scattered on the map data.
A grouping means for grouping a plurality of stores scattered on the map data into one or a plurality of groups from a predetermined viewpoint.
Designating means for designating one or more desired groups from the grouped groups, and
A generation means for generating the store information and
A distribution means for collectively distributing the generated store information to the stores on the map data belonging to the designated one or more groups.
It is a map store batch distribution system equipped with
The delivery method is
A map store batch distribution system that can collectively distribute the store information to stores that satisfy predetermined conditions among a plurality of stores on the map data belonging to a designated one or a plurality of groups. A counting means for counting the number of views of the delivered store information, and
Analytical means for analyzing the total number of views and
Based on the analysis result, the advice means for executing the advice for increasing the number of views, and
The map store batch distribution system according to claim 1. Determining means for determining the update content and delivery time of the store information,
With more
The distribution means distributes the updated contents of the determined store information at the determined distribution time.
The map store batch distribution system according to claim 1. The grouping means groups a plurality of stores scattered on the map data from a desired plurality of viewpoints.
The map store batch distribution system according to claim 1. The designation means designates a plurality of desired groups from the grouped groups.
The map store batch distribution system according to claim 1. It is a map store batch distribution method executed by the map store batch distribution system that collectively distributes store information to multiple stores scattered on the map data.
A step of grouping a plurality of stores scattered on the map data into one or a plurality of groups from a predetermined viewpoint, and
A step of designating one or more desired groups from the grouped groups, and
The steps to generate the store information and
A step of collectively distributing the generated store information to the stores on the map data belonging to the specified one or more groups, and
It is a map store batch distribution method equipped with
The delivery step is
A map store batch distribution method capable of collectively distributing the store information to stores satisfying a predetermined condition among a plurality of stores on the map data belonging to a designated one or a plurality of groups. On the computer
A step of grouping multiple stores scattered on map data into one or more groups from a predetermined viewpoint,
A step of designating one or more desired groups from the grouped groups.
Steps to generate store information,
A step of collectively distributing the generated store information to stores on the map data belonging to the specified one or more groups.
A program for executing,
The delivery step is
A map store batch distribution method capable of collectively distributing the store information to stores satisfying a predetermined condition among a plurality of stores on the map data belonging to a designated one or a plurality of groups.

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