Distributor efficiency improvement assisting device, distributor efficiency improvement assisting system, method, or computer program

Abstract

To provide a system, an information processing device, a server, an information terminal, a method and a computer program which multilaterally schematize an analysis result of data possessed by each distributor, geopolitical data related to a shop, demographic data, and living area data as needed, and allow the respective distributors having different backgrounds to cooperate industries of a market area strategy optimal for each shop market area.SOLUTION: In a system, a server acquires data for specifying a shop and data for specifying a region from an information terminal, and creates market area data related to a person who has used the acquired shop and has an office or an address in the acquired region, using database indicating a relation between the data related to the shop and the data related to the region. An information terminal displays the market area data acquired from the server.SELECTED DRAWING: Figure 7

Description

[Technical field]

[0001] The present invention relates to a system, an information processing device, a server, an information terminal, a method, and a computer program that display accumulated information on the distribution industry and support the distribution industry. [Background technology]

[0002] Various technologies have been proposed from the viewpoint of displaying accumulation information related to the distribution industry and supporting the distribution industry. For example, Reference 1 is a technology that specifies areas in order of geographical proximity to stores, Reference 2 is a technology that focuses on temporal or physical distance, and Reference 3 is a technology aimed at providing advertisements. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2002-123787 A [Patent Document 2] JP 2016-76084 A [Patent Document 3] European Patent Publication No. 3146753 Summary of the Invention [Problem to be solved by the invention]

[0004] however, In the past, trade area analysis and living area analysis using GIS area marketing systems only supported industry targets such as retail store openings and closings, competitor analysis, store support, and manufacturers, and the fragmentation of information between the various businesses involved in distribution, such as producers, transport companies, retailers, and wholesalers, resulted in waste, unevenness, and difficulty, making it difficult for the entire distribution industry to efficiently carry out optimal product lineups, inventory numbers, recommendations, advertising methods, and product transportation systems for stores used by users with regional characteristics. In addition, it took time to analyze each data and create appropriate diagrams, making it difficult for people with different backgrounds in each industry to come up with accurate marketing strategies and solutions that were easy to understand visually and used the same system throughout the entire industry.

[0005] Therefore, the present invention aims to provide a system that instantly displays the results of analysis of various data held by each distributor in the distribution industry, as well as geopolitical data, demographic data, and living area data related to each store, in a multifaceted and diagrammatic manner as necessary, and that works in a timely manner to implement optimal trade area strategies for each store's trade area in collaboration with other distributors or distribution operators in a cross-industry manner, even if the distributors or distribution operators have different backgrounds, thereby ultimately supporting the efficiency of the distribution industry. [Means for solving the problem]

[0006] One aspect of the present invention is A distribution industry efficiency support device comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, an acquisition unit that acquires data that identifies a store and data that identifies an area from the information terminal; a generation unit that uses a database showing the relationship between at least store-related data and area-related data to generate trade area data related to people who have used the acquired store and have a commuter address or address in the acquired area; Equipped with The information terminal includes: A display unit that displays the trade area data acquired from the server. This is a device that supports efficiency in the distribution industry.

[0007] One aspect of the present invention is A computer program executed in a distribution industry efficiency support device including one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, A means for acquiring data for identifying a store and data for identifying an area; A means for generating trade area data relating to people who have used the acquired store and have a commuter address or an address in the acquired area by utilizing a database showing the relationship between at least store-related data and area-related data; Operate as The information terminal, A means for displaying the trade area data acquired from the server; It is a computer program for operating as

[0008] One aspect of the present invention is A distribution industry efficiency support device including one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, Obtaining data identifying a store and data identifying an area; A step of generating trade area data relating to people who have used the acquired store and have a commuter address or an address in the acquired area by using a database showing the relationship between at least store-related data and area-related data; Run The information terminal, Displaying the trade area data acquired from the server; This is a method for carrying out the above.

[0009] One aspect of the present invention is A distribution industry efficiency support system comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, An acquisition unit that acquires data that identifies a store and data that identifies an area; an output unit that uses a database showing the relationship between at least store-related data and area-related data to generate trade area data related to people who have used the acquired store and have a commuter address or address in the acquired area; Equipped with The information terminal includes: a display unit that displays the trade area data acquired from the server; It is a distribution industry efficiency support system that has the following features. Effect of the Invention

[0010] According to the distribution efficiency support system of the present invention, the results of analysis of necessary information such as data acquired by each distribution business, demographic data, geopolitical data, and living area data are optimally diagrammed, allowing people with different backgrounds in the distribution business to visually understand, and enabling timely trade area strategies to be implemented even between people in distant locations. [Brief description of the drawings]

[0011] [Figure 1] 1 is a schematic configuration diagram of a system according to a first embodiment. [Figure 2a] 2 is an example of a flow of the system according to the first embodiment. [Figure 2b] 2 is an example of a flow of the system according to the first embodiment. [Diagram 3] 4 is an example of a screen related to the system according to the first embodiment. [Figure 4] 3 is an example of a screen in the system according to the first embodiment. [Diagram 5] 3 is an example of a screen in the system according to the first embodiment. [Figure 6] 3 is an example of a screen in the system according to the first embodiment. [Figure 7] 13 is an example of a flow of a system according to the second embodiment. [Figure 8] 13 is an example of a screen in the system according to the second embodiment. [Figure 9] 13 is an example of a flow of a system according to the third embodiment. [Figure 10] 13 is an example of a screen in the system according to the third embodiment. [Figure 11] 13 is an example of a flow of a system according to the fourth embodiment. [Figure 12] 13 is an example of a screen in the system according to the fourth embodiment. [Figure 13] 13 is an example of a screen in the system according to the fourth embodiment. [Figure 14] 13 is an example of a flow of a system according to the fourth embodiment. [Figure 15] 13 is an example of a flow of a system according to the fourth embodiment. [Figure 16] 13 is an example of a flow of a system according to the fourth embodiment. [Figure 17] 13 is an example of a flow of a system according to the fifth embodiment. [Figure 18] 13 is an example of a screen in the system according to the fifth embodiment. [Figure 19] 13 is an example of a flow of a system according to the fifth embodiment. [Figure 20] 13 is an example of a flow of a system according to the fifth embodiment. [Figure 21] 13 is an example of a flow of a system according to the fifth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In each drawing, the same or corresponding parts are denoted by the same reference numerals, and the description thereof will be omitted or simplified as appropriate. Furthermore, the shape, size, arrangement, etc. of the configurations shown in each drawing may be changed as appropriate within the scope of the present invention.

[0013] 1. First embodiment 1.1. Configuration Example FIG. 1 is a schematic diagram of a distribution industry efficiency support system according to the first embodiment. The distribution industry efficiency support system according to the present embodiment is a system for managing information about stores, and is used when product manufacturers, wholesalers, and retailers manage information about stores. The distribution industry efficiency support system may include a database server, a web server, and an information terminal. The database server, the web server, and the information terminal may be communicably connected via a local network or the Internet. This is an example of the functions of the database server and the web server in the figure, and these functions may be provided by one or more servers as appropriate. In addition, some or all of the functions provided by these one or more servers may be implemented in a cloud. In addition, one information terminal is disclosed in the figure, but one or more information terminals may be connected to the system according to the first embodiment. In the present application documents, the term system may refer to one or more servers, a cloud, or a combination thereof. The system may include one or more information terminals. In addition, the system may be hardware, a program, or a combination thereof that executes some or all of the functions shown in the figure. In addition, the system may include one or more databases described below. Furthermore, the distribution industry efficiency support may be composed of one or more information processing devices.

[0014] The database server, the web server, and the information terminal each have a control device and a storage device. The control device is a processor such as a CPU, and the storage device is, for example, a volatile or non-volatile memory such as a RAM, a ROM, or a flash memory. The storage device 12 stores programs executed by the database server, the web server, and the information terminal, and various data used by the programs.

[0015] The web server may be capable of executing a GIS area marketing system having functions related to the distribution industry efficiency support system. The server of this embodiment, which is a GIS area marketing system and part of the distribution industry efficiency support system, may have a function to connect to a database (e.g., a database having some or all of the following data: map data, ID / POS data, statistical data, and movement data). In addition, the server of this embodiment may have a function to acquire information from the database. In addition, the server of this embodiment may have a function to acquire information from one or more information terminals. In addition, the server of this embodiment may have a function to generate information about the store using information acquired from the database and / or information acquired from the information terminal. In addition, the server of this embodiment may provide a function to transmit information related to the store to the information terminal.

[0016] The information terminal may have a function of displaying data received from the web server. In addition, the information terminal may have a function of inputting information and transmitting the input information to the web server. The information terminal itself may also have a function of processing data. Such information terminals may be available to each of the businesses involved in distribution, such as producers, transport companies, retailers, and wholesalers. Examples of distributors include transport companies, and examples of distribution businesses include retailers and wholesalers. The above-mentioned multiple information terminals may be used between multiple transport companies, multiple retailers, and multiple wholesalers. In addition, by making it possible for these multiple information terminals to display common information about a specific store, which is referred to as target store information described below, it is possible to support the consideration of a strategy regarding the same target store information.

[0017] Next, as store-related information, we will explain information related to population characteristics, information related to household characteristics, and competitive information. Note that in this application, the term "trade area data" is also used as a generic term for information related to population characteristics, information related to household characteristics, and competitive information.

[0018] The database may store information regarding demographic characteristics, information regarding household characteristics, and / or competitive information.

[0019] The information on population characteristics may include information on the population within a given area associated with the given area. For example, the given area may be a prefecture or a city, town, or village. The population information may include a youth population, a working population, an elderly population, a daytime population, and / or a nighttime population. Here, the youth population may be 0-14 years old, the elderly population may be 65 years old or older, the daytime population may be the commuting population including the inflow population, and the nighttime population may be the resident population including the outflow population.

[0020] The information on household characteristics may include information on the annual income of households of the permanent population, information on the number of members of the household, and information on the age of one-person households. The information on the annual income of the households may be stored in such a manner that each household is associated with one of the following annual income information: 3 million yen, 3 million to 5 million yen, 5 million to 7 million yen, 7 million to 10 million yen, 10 million to 15 million yen, 15 million yen or more. The information on the number of members of the household may be stored in such a manner that each household is associated with one of the following information: 1 person, 2 people, 3 people, 4 people or more. The information on the age of one-person households may be stored in such a manner that one-person households are associated with the age information. For example, one-person households may be stored in such a manner that one-person households are associated with households in their 20s, elderly households (65 years or older), and other households.

[0021] The competitive information may include competitive information. For example, competitive information for a retail store may be information on competing retail stores. In this case, the database may include geographical information of competing retail stores. In this case, the server of this embodiment may calculate the travel distance and average travel time along the road between the competing store (e.g., store location information) and the target store (e.g., store location information) based on the geographical information of the competing store and the target store. Note that in this case, the server of this embodiment may calculate the travel distance along the road in cooperation with a database that stores road information. The server of this embodiment may also calculate the average travel time using average congestion information on the roads.

[0022] The information relating to demographic characteristics, information relating to household characteristics, and / or competitive information may itself be collected in a variety of ways, such as through membership information of store patrons.

[0023] 1.2. Example of processing flow Next, a flow in which the server of this embodiment generates store-related information (information on demographic characteristics, information on household characteristics, and / or competitive information) will be described. Note that, as a more specific example of the flow in which store-related information is generated, Fig. 2a and Fig. 2b can be given.

[0024] Step 1 First, the server of this embodiment acquires information that identifies a target store (hereinafter, sometimes referred to as "target store information"). The target store information may be identified by the store name, the address, or the ID. The target store information may be one or more. When multiple target store information are acquired, the various processes and data display described below may be executed for each target store information. In this case, the results for each target store information may be displayed independently, or may be displayed in a comparative manner with corresponding items made the same. For example, in the following competitive information, for example, two target store information may be displayed in parallel in order of shortest travel time. In this case, there is an advantage that they can be viewed in comparison. The same applies to the other embodiments described below.

[0025] Step 2 Next, the server of this embodiment acquires information that specifies a period (hereinafter, sometimes referred to as a "target period"). The target period may be specified in various units such as days, weeks, months, and years. By setting the target period, data specific to the specific period can be acquired. In addition, there is an advantage that it can be used to compare with data for other periods. For example, it is considered that retail usage patterns differ between weekdays and holidays, and specific retail situations are considered to exist during a specific Golden Week period in May, a specific summer period from July to August, the Christmas season period in December, the year-end and New Year period, and the like, so data for these specific periods can be acquired. In addition, the target period may further include a specific time period (for example, an evening time period such as 4:00 p.m. to 8:00 p.m.) or may be a specific time period. In this case, data on events specific to a specific time period can be acquired. For example, FIG. 3 shows the change in sales amount of products in category A (alcoholic drinks) and products in category B (boxed lunches) according to the time period on a certain weekday. According to this figure, during the lunchtime period from 11:00 to 14:00, category B products (boxed lunches) have higher sales than category A products (alcoholic beverages). This is consistent with the common knowledge that boxed lunches are purchased and consumed more often than alcoholic beverages are purchased during lunchtime. However, during the following period from 14:00 to 18:00, as this is approaching dinner time, an increase in the purchase of boxed lunches for dinner is predicted. However, during this period from 14:00 to 18:00, the data shows that category A products (alcoholic beverages) have higher sales than category B products (boxed lunches), revealing results that differ from expectations depending on the data for the time period. By viewing this data, for example, store personnel can proceed with the task of putting category A products (alcoholic beverages) on the shelves in a timely manner, which has the advantage of avoiding missed sales opportunities due to products not being available on the shelves. Additionally, it has been shown that between 7pm and 10pm, sales of Category B products (boxed lunches) increase more than sales of Category A products (alcohol).In this regard, too, contrary to the expectation that sales of alcoholic beverages would increase in the evening, it was found that sales of boxed lunches actually increased, and similarly, the operation of the retail store can be improved based on the display of this data.

[0026] Step 3 The server of this embodiment may acquire the selection of display items. As the display items, statistical data, store-specific data, and all-store data may be selected.

[0027] Step 4 Next, the server of this embodiment may acquire trade area information (hereinafter, also referred to as "target trade area"), which is the geographical information that is the subject of statistical data. The geographical information of the trade area information may be specified by various methods. The target trade area may be a closed area in two or three dimensions.

[0028] The geographical information may be defined as a circle of a predetermined radius with the target store at the center. Here, the predetermined radius may be defined in advance, or may be a distance (e.g., 1 km, 3 km, etc.) input by the user after the server of this embodiment prompts the user to input the radius.

[0029] The geographical information may be a sales share trade area instead of or in addition to the above. For example, geographical information having a sales share equal to or greater than a predetermined sales share may be specified. Here, the sales share may be defined by a predetermined sales amount or by a share.

[0030] The geographical information may be within walking distance instead of or in addition to the above. For example, it may be a geographical range that is possible on foot, and may be defined as a walking time from the target store using road information. Here, the walking time may be defined in advance, or may be a walking time (e.g., 5 minutes, 10 minutes, 15 minutes, etc.) input by the user after the server of this embodiment prompts the user to input it.

[0031] Instead of or in addition to the above, the geographical information may be within a vehicle range using a vehicle (e.g., an automobile or a bicycle). For example, the time of vehicle use from the target store may be specified using road information. Here, the time of vehicle use may be specified in advance, or may be a usage time input by the user after the server of this embodiment prompts the user to input it (e.g., 5 minutes, 10 minutes, or 15 minutes by bicycle, or 5 minutes, 10 minutes, or 15 minutes by automobile).

[0032] Instead of or in addition to the above, the geographical information may be freely set by the user on a two-dimensional or three-dimensional screen showing a map. For example, on a two-dimensional or three-dimensional screen showing a map, the user may set any closed area such as a triangle, a rectangle, a polygon, a circle, or an ellipse. In particular, as described later, in terms of a retail store's strategy, by freely setting the geographical information, there is an advantage that the geographical information that affects the use of the store can be precisely examined. More specifically, for example, for people who use the store by foot or bicycle, crosswalks, footbridges, railroad crossings, and river bridges for crossing a main road with a lot of traffic may affect the use of the store. In addition, for people who use the store by car, the use of the store may be affected by the main road, one-way road, and the presence or absence of traffic jams. The presence or absence of traffic jams may be around a station, near an expressway entrance / exit, around a railroad crossing, etc. Taking these individual elements into account, the geographical information can be precisely examined by setting a closed area of ​​any shape in order to collect information for opening a retail store.

[0033] Step 5 The server of this embodiment may then generate corresponding displayable information in response to obtaining the selection of demographic characteristics, household characteristics, or competitive information.

[0034] First, population characteristics will be explained (sometimes referred to as "demographic data" in this application document).

[0035] When a demographic characteristic is selected, the server of this embodiment may query a database for data on the demographic characteristic, obtain corresponding information, and generate information related to the demographic characteristic for the target period and / or target trade area. The server of this embodiment may transmit the generated information related to the demographic characteristic to an information terminal, which may display the information related to the demographic characteristic. For example, FIG. 4 is an example of an information terminal displaying information related to the demographic characteristic, which is an example of a diagrammatic display of the analysis results of demographic data. This figure is also an example of a diagrammatic display of the analysis results of geopolitical data, in that it is based on the target trade area.

[0036] More specifically, the server of this embodiment may generate information related to population characteristics in the target commercial area. More specifically, the server of this embodiment may generate the young population, the working population, the elderly population, the daytime population, and / or the nighttime population in the target commercial area. Also, each ratio may be generated. More specifically, each ratio of the young population, the working population, and the elderly population may be the ratio of each population to the total of the young population, the working population, and the elderly population. Also, each ratio of the daytime population and the nighttime population may be the ratio to the total of the daytime population and the nighttime population. Similarly, a specified area including the target store in the target store information (for example, Chiba Prefecture when the target store is located in Chiba Prefecture) may be specified, and the young population, the working population, the elderly population, the daytime population, and / or the nighttime population in the specified area may be generated, and each ratio may be generated. In this way, by generating information related to the population characteristics in the target commercial area, information that supports a strategy regarding a store targeting the target commercial area can be obtained.

[0037] In addition, when the target commercial area coincides with the area of ​​one or more prefectures and one or more cities, towns, or villages, the calculation may be performed by adding up the information. On the other hand, when the target commercial area is different from the area of ​​one or more prefectures and / or one or more cities, towns, or villages, the information may be generated by apportioning the information related to the area of ​​one or more prefectures and / or one or more cities, towns, or villages. For example, when the target commercial area is one-third of the area of ​​a city, one-third of the population of the city may be set as the population of the target commercial area. In this way, by using the target commercial area input by the user (not simply information related to the population characteristics of the administrative district of each city, town, or village), information related to the population characteristics of the administrative district of each city, town, or village is summed up and / or apportioned, and information related to the population characteristics corresponding to the target commercial area is generated, so that the user can obtain information that supports the strategy regarding the store targeting the target commercial area.

[0038] Next, household characteristics will be explained (also referred to as "living area data" in this application document).

[0039] When a household characteristic is selected, the server of this embodiment may query the database for data on the household characteristic, obtain corresponding information, and generate information related to the household characteristic for the target period and / or target trade area. The server of this embodiment may transmit the generated information related to the household characteristic to an information terminal, which may display the information related to the household characteristic. For example, FIG. 5 is an example of information related to the household characteristic displayed by an information terminal, and is an example of a diagrammatic display of the analysis results of living area data. This diagram is also an example of a diagrammatic display of the analysis results of geopolitical data, in that it is based on the target trade area.

[0040] More specifically, the server of this embodiment may generate information related to household characteristics in the target commercial area. More specifically, the server of this embodiment may generate the number of people and / or ratios of people in the target area who belong to each annual income level. For example, the server of this embodiment may generate the number of people in the target area who belong to 3 million yen, 3 million to 5 million yen, 5 million to 7 million yen, 7 million to 10 million yen, 10 million to 15 million yen, and 15 million yen or more, and may generate the percentage of the total. In this way, by using the target commercial area input by the user (not simply the number of people and / or ratios of people in each annual income level in the administrative district of each city, town, village, etc.), the number of people and / or ratios of people in each annual income level in the administrative district of each city, town, village, etc. are totaled and / or apportioned, thereby generating the number of people and / or ratios of people in each annual income level corresponding to the target commercial area, and the user can obtain information to support a strategy regarding a store targeting the target commercial area. The number and / or ratio of people belonging to each income level may be determined based on information for the target period. In this case, the user can obtain information to support store strategies by grasping the number and / or ratio of people belonging to each income level for the target period in addition to the target trade area.

[0041] The server of this embodiment may generate the number and / or ratio of households by number of members in the target area instead of or in addition to the number and / or ratio of people belonging to each annual income level described above. For example, the server of this embodiment may generate the number of households in the target area that belong to 1 person, 2 people, 3 people, 4 people or more, and generate the percentage of the total. In this way, the number and / or ratio of households by number of members corresponding to the target trade area is generated by totaling and / or apportioning the number and / or ratio of households by number of members in each administrative district of a city, town, village, etc. using the target trade area input by the user (rather than simply the number and / or ratio of households by number of members in each administrative district of a city, town, village, etc.), so that the user can obtain information to support the strategy regarding the store targeting the target trade area. Furthermore, the number and / or ratio of households by number of members may be information for the target period. In this case, the user can obtain information to support the strategy regarding the store by grasping the number and / or ratio of households by number of members in the target period in addition to the target trade area.

[0042] Alternatively or in addition to the above, the server of this embodiment may generate the number and / or ratio of one-person households in the target area that belong to households in their 20s, elderly households (65 years or older), or other households. In this way, by using the target commercial area input by the user (rather than simply information on one-person households in the administrative district of each city, town, village, etc.) to sum and / or apportion information on one-person households in such administrative district of each city, town, village, etc., information on one-person households corresponding to the target commercial area is generated, allowing the user to obtain information to support a strategy regarding a store targeting the target commercial area. Furthermore, information for a target period may be used for such information on one-person households. In this case, the user can obtain information on one-person households in the target period in addition to the target commercial area to obtain information to support a strategy regarding the store.

[0043] In the above description of the annual income level, household information, and one-person household information, the people and households in the target area may be the daytime population or the nighttime population. That is, the server of this embodiment may obtain a selection of the daytime population or the nighttime population for the people and households in the target area, and generate information using the selected population. When such information is displayed, the user has the advantage of being able to analyze in detail by separating the daytime population or the nighttime population. Instead of such a configuration, the server of this embodiment may generate the annual income level, household information, and / or one-person household information using both the daytime population and the nighttime population for the people and households in the target area. In such a configuration, when both the daytime population and the nighttime population are displayed for the annual income level, household information, and / or one-person household information, the user has the advantage of being able to grasp both the daytime population and the nighttime population, and to utilize them in retail business strategies, particularly by comparing them.

[0044] In addition to the above, and similarly to the above, a specified area including the target store in the target store information (for example, Chiba prefecture when the target store is located in Chiba prefecture) may be specified, and for the specified area (and optionally for the target period), the number and / or ratio of people belonging to each annual income level, and for one-person households in the specified area, the number and / or ratio of people belonging to households in their 20s, elderly households (65 years or older), or other households may be generated. When both information about the specified area and the above-mentioned information about the target commercial area are displayed, there is an advantage that the user can understand both the specified area and the target commercial area in comparison.

[0045] Next, the competitive information will be described.

[0046] When the competitive information is selected, the server of this embodiment may inquire about the competitive information in the database, obtain the corresponding information, and generate competitive information for the target store. The server of this embodiment may transmit the generated competitive information to an information terminal, and the information terminal may display the competitive information. For example, FIG. 6 shows an example of competitive information displayed by an information terminal.

[0047] More specifically, the server of this embodiment may select the competitive information by using the target store information acquired as described above. Since the database includes location information of the stores in the competitive information, the server of this embodiment may calculate the travel distance and average travel time along the road between the target store information (e.g., location information of the target store) and the competitive information (e.g., location information of the competitive store) from their geographic information. In this case, the server of this embodiment may calculate the travel distance along the road in cooperation with a database storing road information. In this case, the server of this embodiment may calculate the travel distance along the road by using road information in the target period. In this case, the travel distance according to changes in road conditions such as construction can be calculated. In addition, the server of this embodiment may calculate the average travel time by using road information such as average congestion information on the road. In this case, the server of this embodiment may calculate the average travel time by using road information in the target period. In this case, the server of this embodiment may calculate the average travel time by using road information in the target period. In this case, the server of this embodiment may calculate the travel time according to changes in road conditions such as construction and congestion. The travel time may be an average travel time when using a preset transportation means such as walking, bicycle, or car.

[0048] The above-mentioned travel distance and / or travel time may be sent to the information terminal and displayed on the information terminal after being ordered in the order of longest or shortest in the server of this embodiment. Instead of such a configuration, the above-mentioned travel distance and / or travel time may be sent from the server of this embodiment to the information terminal and displayed in the order of longest or shortest in the information terminal. In particular, when the travel distance and / or travel time are ordered in the order of shortest travel time, not in the order of shortest travel distance, and displayed on the information terminal, there is an advantage that the competition can be grasped from the viewpoint of travel time as a burden when visiting an actual store. In addition, the travel distance and / or travel time may be limited to those within a predetermined range in the server of this embodiment and then sent to the information terminal and displayed on the information terminal. Instead of such a configuration, the travel distance and / or travel time may be limited to those within a predetermined range in the information terminal after being sent from the server of this embodiment to the information terminal and displayed. Here, the limited to those within a predetermined range may be, for example, those within a predetermined travel distance range, such as those within 5 km or within 3 km. In addition, in terms of travel time, examples include travel times within a predetermined range, such as within 10 minutes or within 20 minutes.

[0049] In addition to or instead of the above, the server of this embodiment may generate information corresponding to all of the demographic characteristics, household characteristics, or competitive information in a displayable manner without obtaining information on the selection of these from the user.

[0050] 2. Second embodiment 2.1. Configuration Example

[0051] The entire system including the server of this embodiment may have the same configuration as the distribution industry efficiency support system 100 according to the first embodiment. However, the functions of the server of this embodiment do not have to include the functions of the server described in the first embodiment, or may include some or all of the functions of the server described in the first embodiment.

[0052] The database that can be connected to the server of this embodiment may store a store, a store customer who used the store, and the date and time and amount used by the store customer in association with each other. The database may also store a store customer in association with the address of the store customer.

[0053] 2.2. Example of processing flow Next, an example of a flow in which the server of this embodiment generates store-related information will be described with reference to FIG.

[0054] Step 1 First, the server of this embodiment acquires target store information. The server of this embodiment may also acquire a target period.

[0055] Step 2 Next, the server of this embodiment identifies the person who used the store in the target store information, and calculates the total amount of money used at the store by the person who used the store and has an address in the predetermined area for each predetermined area. For example, assume that there are A, B, and C who have an address in a certain area. Also, assume that A, B, and C used XA yen, XB yen, and XC yen, respectively, at the target store. In this case, the server of this embodiment calculates XA+XB+XC. Through this calculation, the total amount of money used by the person who has a residence in the predetermined area is calculated for each predetermined area. Here, the predetermined area may correspond to an administrative division such as a city, town, or village, or may be another area. Also, the address may be the address of the workplace and / or the address of residence, as described above. Note that, when the server of this embodiment acquires the target period, the total amount of money used at the store during the target period may be calculated. In this case, there is an advantage in that the total amount of money used during the target period can be calculated.

[0056] Step 3 Next, the server of this embodiment outputs data classified according to the total amount calculated for each of the predetermined areas. Since the classified data is classified by the total amount, it may be data such as the total amount being less than 10,000 yen, 10,000 yen or more, 20,000 yen or more, 40,000 yen or more, 70,000 yen or more, 100,000 yen or more, etc.

[0057] Step 4 The differentiated data associated with the predetermined area is transmitted to an information terminal, and the information terminal that has acquired the differentiated data associated with the predetermined area displays the differentiated data associated with the predetermined area in a two-dimensional and / or three-dimensional display showing geography such as a map. For example, City A, which is a predetermined area, may be displayed in yellow as being over 40,000 yen, and City B, which is a predetermined area different from City A, may be displayed in red as being over 100,000 yen. When color-coded in this way, there is an advantage that users can understand how much money store users in each area are spending. For example, FIG. 8 is an example of such a display.

[0058] Although the above has been described as an example of distinguishing data by color, the data may be distinguished by various other display modes. For example, the distinguished data may be visually distinguishable, and may be, for example, a distinguishable design pattern (for example, a vertical line for up to 30,000 yen, a horizontal line for 30,000 yen to 50,000 yen, etc.), a distinguishable explanation (for example, an explanation such as up to 30,000 yen, 30,000 yen to 50,000 yen, etc.), a distinguishable abbreviated explanation (for example, an abbreviated explanation such as <30,000 yen, 30,000 yen to 50,000 yen, etc.), a distinguishable shape (for example, ● for up to 30,000 yen, ◎ for 30,000 yen to 50,000 yen, etc.), etc.

[0059] The server of this embodiment may display data related to one or more competitors to the store in a two-dimensional and / or three-dimensional display showing geography such as a map. The data related to competitors may include information such as the location of the competing store, the name, type, size, sales amount, etc. For example, by displaying the location of the competing store in the two-dimensional and / or three-dimensional display, the user can understand the relationship between the location of the competing store and the amount of spending at stores in the surrounding area, etc., and can utilize this information in retail business strategies.

[0060] 3. Third embodiment 3.1. Configuration Example The entire system including the server of this embodiment may have the same configuration as the distribution industry efficiency support system 100 according to the first embodiment. However, the functions of the server of this embodiment do not have to include the functions of the server described in the first embodiment, or may include some or all of the functions of the server described in the first and / or second embodiment.

[0061] The database that can be connected to the server of this embodiment may store data relating to the use of each store used by a person in each area, such as a city, town, or village, in association with the person. Here, the data relating to the use may include the date and time when the person used the store, and / or the total amount spent when the person used the store. By using such data relating to the use, the number of times the store was used and the usage rate may be calculated. Here, the usage rate may be, for example, the ratio (Y / X) of the number of times a person used a specific store (Y times) to the total number of times a person used multiple stores (e.g., X times), or the ratio (Y / X) of the number of times a specific store was used (Y times) to the total number of times a multiple number of people used multiple stores (e.g., X times).

[0062] 3.2. Example of processing flow Next, an example of a flow in which the server of this embodiment generates shares for store users will be described with reference to FIG.

[0063] Step 1 First, the server of this embodiment acquires information for identifying a plurality of stores. The information for identifying each store may be identified by the store name, address, or ID. The server of this embodiment may also acquire a target period.

[0064] Step 2 Next, the server of this embodiment acquires the target trade area and identifies people within the target trade area.

[0065] Step 3 Next, the server of this embodiment generates data on the use of the plurality of stores by people within the target trade area. Here, the server of this embodiment may use a database to calculate the number of times and the usage rate of each of the plurality of stores by people within the target trade area.

[0066] Step 4 The number of times the store has been used and the usage rate are transmitted to the information terminal, and the information terminal that has acquired the number of times the store has been used and the usage rate displays the data. Fig. 10 is an example of what the information terminal displays.

[0067] Furthermore, the server of this embodiment may generate data for each area in the target area (for example, for each predetermined area such as a city, town, or village) indicating the store with the highest number of visits or the highest rate of visits by people in the area, and data indicating the degree of visits or the highest rate of visits, to distinguish the store with the highest number of visits or the highest rate of visits and the degree of visits for each area. For example, the color indicating the store with the highest number of visits or the highest rate of visits by people in the area and the color intensity indicating the degree of visits or the highest rate of visits may be displayed for each area in the target area. In this case, there is an advantage that the user can grasp the situation by the color indicating the store for each area and the color intensity indicating the degree of visits of the store. Note that the color and the color intensity are only an example, and the store and the degree of visits for each area may be displayed by a design pattern and the shade of the design pattern, or by text.

[0068] 4. Fourth embodiment 4.1. Configuration Example The entire system including the server of this embodiment may have the same configuration as the distribution industry efficiency support system 100 according to the first embodiment. However, the function of the server of this embodiment does not have to include the function of the server described in the first embodiment, or may include some or all of the functions of the servers described in the first to third embodiments.

[0069] The database that can be connected to the server of this embodiment may store the relationship between a predetermined area, a product sold within the predetermined area, the product category, a manufacturer, a predetermined period, a sales amount, and a sales number. The predetermined area may be an administrative division such as a city, town, or village. The product category may be a division that identifies a product. The product category may be divided into multiple hierarchies. For example, there may be a category called daily necessities and a category called food and beverages, and the food and beverage category may be divided into food and beverages, and the beverages may be divided into alcoholic beverages and non-alcoholic beverages. The sales amount may be the amount of sales generated by sales at a store within the predetermined area within a predetermined period. The sales number may be the number of sales generated by sales at a store within the predetermined area within a predetermined period.

[0070] 4.2. Example of processing flow Next, an example of a flow in which the server of this embodiment generates sales numbers or sales amounts (sales) and rankings will be described with reference to FIG.

[0071] Step 1 First, the server of this embodiment acquires a target trade area. The server of this embodiment may also acquire a target period.

[0072] Step 2 Next, the server of this embodiment acquires one or more product categories. The one or more product categories may be multiple hierarchical product categories. Such multiple hierarchical product categories may be, for example, product categories with lower hierarchical levels such as underwear, innerwear, men's innerwear, men's tops, etc. In addition, the product categories may be product categories hierarchical such as major items, medium items, minor items, fine items, etc. By specifying the product category in this way, there is an advantage in that information in each area can be understood.

[0073] Step 3 The server of this embodiment calculates the number of sales or the sales amount (sales) of the one or more product categories sold within the target trade area. The number of sales or the sales amount may be transmitted to an information terminal and displayed. With such number of sales or the sales amount, the user can understand the number of sales or the sales amount of one or more product categories in the target trade area set by the user. In particular, the number of sales or the sales amount can be understood according to the set target trade area, and can be used for store strategy. If the target period is acquired, the number of sales or the sales amount during the target period may be calculated. In this case, there is an advantage in that information for more precise consideration of product categories that may change according to the season can be obtained. In addition, if the target period is acquired, the trend of the number of sales or the sales amount during each year during the target period may be generated. For example, FIG. 12 is an example in which an information terminal displays the trend of the sales amount (sales) during each year.

[0074] The server of this embodiment may generate a ranking of the top sales amounts or sales quantities for product categories or products included in one or more of the above-mentioned product categories. For example, if the set product category is dairy products, a ranking of sales quantities or sales amounts may be generated for dairy products (e.g., products such as milk A, milk B, yogurt A, yogurt B, and cheese A) or product categories lower than dairy products (e.g., product categories of milk, yogurt, and cheese). In this case, there is an advantage that the ranking of sales quantities or sales amounts in a specific product category such as dairy products can be understood. For example, FIG. 13 shows an example of a ranking displayed on an information terminal in descending order of sales amount.

[0075] Alternatively or additionally, the server of this embodiment may specify a product category or product that is in a predetermined relationship with respect to the product category or product included in one or more of the above-mentioned product categories. For example, if the set product category is dairy products, it may be specified that the products in the ranking of dairy products (for example, products such as milk A, milk B, milk C, yogurt A, and cheese A) are products in the same product category, namely milk A, milk B, and milk C. By such specification, it may be displayed on the information terminal that milk A, milk B, and milk C are in the same product category, namely milk. In this case, it is possible to understand that the multiple products in the ranking of dairy products, namely milk A, milk B, and milk C, are products in the same product category, namely milk. In other words, it is possible to find a situation in which products in the same product category, namely milk, are fighting over a pie among dairy products, so to speak, and there is an advantage in that information for considering whether or not a product is necessary can be obtained. For this purpose, the server of this embodiment may specify the product category to which each product belongs for the products on the ranking (for example, products such as milk A, milk B, milk C, yogurt A, and cheese A), and if the product categories to which each product belongs are identical, specify these as products belonging to the same product category. A predetermined relationship that these multiple products are in the same product category may be associated with each product and displayed. Also, instead of or in addition to the above, since these products belong to the same product category, a recommendation that one of these products (for example, a product with a lower ranking) is unnecessary may be displayed. Also, instead of or in addition to the above, since these products belong to the same product category and one of these products may have the possibility of further increasing sales, a display may be displayed advising advertising one of these products. Also, instead of or in addition to the above, since the lower-ranked products in the above-mentioned products belonging to the same product category can be said to be unnecessary products as described above, for multiple products belonging to the same product category, the products ranked second or lower may not be displayed, and only the product ranked first may be displayed, thereby displaying an optimal product lineup for the store.Here, the optimal product lineup may be an optimal product lineup only for the product category targeted in the store, or an optimal product lineup for all products in the store. Alternatively or in addition to the above, a product transportation system diagram may be displayed two-dimensionally showing that among multiple products belonging to the same product category in the store (e.g., store X), a product with a lower ranking (e.g., product A) is supplied to another store (e.g., store Y within a predetermined distance from store X) instead of the store X, and a product with a higher ranking (e.g., product B) is supplied from the other store Y to the store X. More specifically, store X and the number of products A and B, and store Y and the number of products A and B may be displayed in association with each other, and the number of products A and B may be increased or decreased by user input. For example, if product X is ranked lower than product Y as described above, the transportation situation of the products may be simulated by a user operation to decrease the number of products X (in some cases to 0) and increase the number of products Y. In this case, both the number of products A and B supplied and the number of products A and B in stores X and Y may be displayed in a correlated manner. In other words, the total number of products A in stores X and Y is always displayed as the same as the number of products A supplied, and when the number of products A in store X is increased or decreased, the number of products A supplied and / or the number of products A in store Y may be displayed in a linked manner (so that the total number of products A is always the same). (Based on a similar idea, product categories that have a predetermined relationship may also be identified. Furthermore, the above processing may be processed on the server and then the results displayed on the information terminal, or the server and the information terminal may cooperate to process parts of each, or the entire processing may be performed on the information terminal based on the information sent from the server.

[0076] Step 4 The above-mentioned sales number or sales amount (sales) and ranking may be transmitted to an information terminal, and the above-mentioned sales number or sales amount (sales) and ranking may be displayed on the information terminal. Note that other examples of flows for generating the sales number or sales amount (sales) and ranking include those shown in FIG. 14, FIG. 15, and FIG. 16.

[0077] 5. Fifth embodiment 5.1. Configuration Example The entire system including the server of this embodiment may have the same configuration as the distribution industry efficiency support system 100 according to the first embodiment. However, the function of the server of this embodiment does not have to include the function of the server described in the first embodiment, or may include some or all of the functions of the servers described in the first to fourth embodiments.

[0078] The database that can be connected to the server of this embodiment may store the relationship between a predetermined area, a predetermined product category, manufacturers of products in the product category sold in the predetermined area, and the sales amount of the manufacturer for the product category for each unit period. The predetermined area may be an administrative division such as a city, town, or village. The sales amount may be based on POS data. The database may also store data on the size of the Japanese market for each product category.

[0079] 5.2. Example of processing flow Next, an example of a flow in which the server of this embodiment generates a share for a specific area will be described with reference to FIG.

[0080] Step 1 First, the server of this embodiment acquires a target commercial area and one or more product categories. The server of this embodiment may also acquire a target period.

[0081] Step 2 Next, the server of this embodiment calculates the total sales amount for each manufacturer that manufactured and / or sold all products in the one or more product categories sold in the one or more geographical areas and the one or more product categories included in the target commercial area. For example, a target commercial area is assumed to have an area that is the entirety of City A and half of City B. In this case, the sales amount for each manufacturer that sold the products in the product category that was sold in City A is totaled. Similarly, for City B, the sales amount for each manufacturer that sold the products in the product category that was sold in City A is totaled, and finally, the total is divided proportionally (in half). For each manufacturer, the total sales amount for City A and the total sales amount for City B (however, half) are totaled to calculate the sales amount of the manufacturer. In addition, the share rate may be calculated for each manufacturer. The share rate of each manufacturer may be the sales amount (numerator) of the target manufacturer relative to the total sales amount (denominator) of all manufacturers. Alternatively, each manufacturer's market share may be calculated by dividing the total market size of the target product category in Japan by the total sales amount (numerator) of the target manufacturer. In this case, each manufacturer can compare the market size with the sales amount within the trade area of ​​each store, calculate the sales potential and sales forecast within the trade area, and consider the product lineup, inventory amount, and advertising method.

[0082] Step 3 The server of this embodiment generates the sales amount and / or the share rate in association with each manufacturer. The sales amount and / or the share rate associated with each manufacturer may be transmitted to an information terminal, and the sales amount and / or the share rate associated with each manufacturer may be displayed on the information terminal. The display may take various forms, such as a line graph showing the change in share for each period, or a pie chart showing the share ratio within a target period. FIG. 18 is an example of such a display. Other examples of flows for generating share rates include FIG. 19 and FIG. 20.

[0083] In addition, in the server of this embodiment, instead of the manufacturer's share, the share of the entire retail industry may be generated. Specifically, the denominator may be the size of the Japanese market for the target product category, and the numerator may be the sales amount of the retail product category. For example, if the product category is beer, the denominator may be the size of the entire Japanese market for beer (including non-retail businesses) and the actual sales of beer (only retail businesses).

[0084] 6. Other embodiments The distribution industry efficiency support device according to the first aspect is A distribution industry efficiency support device comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, an acquisition unit that acquires data that identifies a store and data that identifies an area from the information terminal; a generation unit that uses a database showing the relationship between at least store-related data and area-related data to generate trade area data related to people who have used the acquired store and have a commuter address or address in the acquired area; Equipped with The information terminal includes: A display unit that displays the trade area data acquired from the server. "Distribution industry efficiency support device."

[0085] The distribution industry efficiency support device according to the second aspect is the same as the first aspect described above, The server generates, for a plurality of stores that are in a competitive relationship with the acquired store, a ranking of stores that are in a distance or travel time between the acquired store and the store within a predetermined section, or a ranking of stores that are in a distance or travel time between the acquired store and the store, The information terminal displays stores within a specified distance or travel time range, or a plurality of stores ranked according to the length of the distance or travel time, obtained from the server.

[0086] The distribution industry efficiency support device according to the third aspect is the same as the first aspect or the second aspect. the server generates an order for a plurality of stores that are in a competitive relationship with the acquired store in order of shortest travel time between the acquired store and the plurality of stores; The information terminal displays the plurality of stores obtained from the server in order of shortest travel time.

[0087] A distribution industry efficiency support device according to a fourth aspect is any one of the first to third aspects, wherein "the server Identifying one or more areas including the addresses of people who have used the acquired store; Calculating a total amount paid by a person who uses the store for all or a predetermined range of products or services at the store for each of the areas; outputting data for distinguishing the area according to the total amount; The information terminal displays the area-distinguished data acquired from the server, with the area being distinguished.

[0088] A distribution industry efficiency support device according to a fifth aspect is any one of the first to fourth aspects, further comprising: "the server outputs the acquired data on one or more competitors of the store within an area including at least the address of a person who has used the store; The information terminal displays the data relating to the one or more competitors obtained from the server.

[0089] A distribution industry efficiency support device according to a sixth aspect of the present invention is any one of the first to fifth aspects, further comprising: Acquire multiple stores, outputting a usage ratio of the plurality of stores by a person who has used at least one of the plurality of stores; The information terminal includes: The information terminal displays the usage ratio of the plurality of stores acquired from the server. " It is something like that.

[0090] A seventh aspect of the distribution industry efficiency support device according to any one of the first to sixth aspects, further comprising: Using a database that associates and stores data relating to a person and each store used by the person, data relating to use is acquired for a person who has an address in the area and who has used at least one of the plurality of stores; The usage rate is the ratio of the person's use of each of the multiple stores.

[0091] The distribution industry efficiency support device according to an eighth aspect is the device according to any one of the first to seventh aspects, wherein "the server A database that stores a relationship between a predetermined area and the sales amount for each manufacturer of a product in a specific product category that is sold in the predetermined area; An acquisition unit that acquires a predetermined area and a specific product category; a calculation unit that uses the predetermined area and the specific product category to calculate a sales amount ratio or a sales quantity ratio for each manufacturer of the specific product category in the predetermined area; Equipped with The information terminal includes: "displays the sales amount ratio or sales number ratio obtained from the server."

[0092] A distribution industry efficiency support device according to a ninth aspect is the device according to any one of the first to eighth aspects, further comprising: Obtained the first product category, generating a ranking in order of sales amount or sales quantity within a predetermined period for a second product category or product that is a subcategory of the first product category purchased at the acquired store by residents within the acquired geographical area; outputting a predetermined relationship for the second product category or a product in a third product category different from the first product category and the second product category; The information terminal includes: and displaying a predetermined relationship regarding the second product category or product obtained from the server.

[0093] The distribution industry efficiency support device according to the 10th aspect is any one of the 1st to 9th aspects above, wherein "the data identifying the area is identified based on one or more administrative divisions."

[0094] The distribution industry efficiency support device according to the 11th aspect is any one of the first to tenth aspects above, in which "the area is identified by the apportionment of one or more administrative divisions identified by user input for a two-dimensional area."

[0095] The distribution industry efficiency support device according to the 12th aspect is any one of the first to 11th aspects above, wherein "the trade area data is information relating to population characteristics, information relating to household characteristics, and / or competitive information."

[0096] A computer program according to a thirteenth aspect, "A computer program executed on a distribution industry efficiency support device that includes one or more servers and one or more information terminals that are connected to the servers via a network so that signals can be transmitted and received, The server, A means for acquiring data for identifying a store and data for identifying an area; A means for generating trade area data relating to people who have used the acquired store and have a commuter address or an address in the acquired area by utilizing a database showing the relationship between at least store-related data and area-related data; Operate as The information terminal, A means for displaying the trade area data acquired from the server; The present invention is a computer program for operating as a

[0097] The method according to a fourteenth aspect comprises the steps of: "A distribution industry efficiency support device comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, Obtaining data identifying a store and data identifying an area; A step of generating trade area data relating to people who have used the acquired store and have a commuter address or an address in the acquired area by using a database showing the relationship between at least store-related data and area-related data; Run The information terminal, Displaying the trade area data acquired from the server; "How to do it."

[0098] A system according to a fifteenth aspect comprises: "A distribution industry efficiency support system comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, An acquisition unit that acquires data that identifies a store and data that identifies an area; an output unit that uses a database showing the relationship between at least store-related data and area-related data to generate trade area data related to people who have used the acquired store and have a commuter address or address in the acquired area; Equipped with The information terminal includes: a display unit that displays the trade area data acquired from the server; It is a distribution industry efficiency support system that includes the following: 7.Other The databases described in this application may be various databases and may be based on various database models, such as, but not limited to, hierarchical databases, network databases, relational databases, and object-oriented databases. Furthermore, the information processing device on which these databases are implemented may be one or more, and may be a server or a cloud.

[0099] In addition, in this application document, using a store may mean actually purchasing goods or paying for services at the store, or simply visiting the store's premises, or a combination of these.

[0100] In addition, in this application document, the address of the store user may be the address of the store user's workplace or the address of the store user's residence.

[0101] In this application, geopolitical data relevant to a store may be data relating to a target trade area for a particular store.

[0102] In addition, in the present application, the processing between the server and the information terminal may be appropriately shared. For example, the server may process the information and then transmit the result to the information terminal for display, or the server and the information terminal may cooperate with each other and the server may process part of the information and transmit it to the information terminal, and the information terminal may process the remaining part and display it, or the information terminal may process everything based on the information sent from the server and display it.

[0103] In addition, as a display mode in the present application, a mode in which data is transmitted from a server to an information terminal and the data is displayed on the information terminal has been mainly described, but the display mode is not limited to this mode. For example, a part of the processing on the server may be processed on the information terminal and displayed on the information terminal. Also, a display device on the server may directly display the data.

[0104] It goes without saying that the invention examples described in the embodiments of this application document are not limited to those described in this application document, but can be applied to various examples within the scope of the technical concept thereof.

[0105] In addition, the processes and procedures described in the present application may be realized not only by those explicitly described in the embodiments, but also by software, hardware, or a combination of these. In addition, the processes and procedures described in the present application may be implemented as computer programs and executed by various computers. In addition, these computer programs may be stored in a storage medium. In addition, these programs may be stored in a non-transient or temporary storage medium.

Claims

1. A distribution industry efficiency support device comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, an acquisition unit that acquires data that identifies a store and data that identifies an area from the information terminal; a generation unit that uses a database showing the relationship between at least store-related data and area-related data to generate trade area data related to people who have used the acquired store and have a commuter address or address in the acquired area; Equipped with The information terminal includes: A display unit that displays the trade area data acquired from the server. Distribution industry efficiency support device.

2. The server generates, for a plurality of stores that are in a competitive relationship with the acquired store, a ranking of stores that are in a distance or travel time between the acquired store and the store within a predetermined section, or a ranking of stores that are in a distance or travel time between the acquired store and the store, The information terminal displays the stores within a predetermined distance or travel time section, or a plurality of stores ranked according to the distance or travel time, acquired from the server. The distribution industry efficiency improvement support device according to claim 1.

3. the server generates an order for a plurality of stores that are in a competitive relationship with the acquired store in order of shortest travel time between the acquired store and the plurality of stores; The information terminal displays the plurality of stores acquired from the server in order of the shortest travel time.

3. The distribution industry efficiency support device according to claim 1 or 2.

4. The server, Identifying one or more areas including the addresses of people who have used the acquired store; Calculating a total amount paid by a person who uses the store for all or a predetermined range of products or services at the store for each of the areas; outputting data for distinguishing the area according to the total amount; the information terminal displays the area-distinguished data acquired from the server, with the area being distinguished; 3. The distribution industry efficiency support device according to claim 1 or 2.

5. The server outputs the acquired data on one or more competitors of the store within an area including at least the address of the person who used the store, The information terminal displays the data related to the one or more competitors acquired from the server. The distribution industry efficiency improvement support device according to claim 4.

6. The server, Acquire multiple stores, outputting a usage ratio of the plurality of stores by a person who has used at least one of the plurality of stores; The information terminal includes: The information terminal displays the usage ratio of the plurality of stores acquired from the server.

3. The distribution industry efficiency support device according to claim 1 or 2.

7. The server, Using a database that associates and stores data relating to a person and each store used by the person, data relating to use is acquired for a person who has an address in the area and who has used at least one of the plurality of stores; The ratio of the use of each of the plurality of stores by the person is defined as the usage ratio. The distribution industry efficiency improvement support device according to claim 6.

8. The server, A database that stores a relationship between a predetermined area and the sales amount for each manufacturer of a product in a specific product category that is sold in the predetermined area; An acquisition unit that acquires a predetermined area and a specific product category; a calculation unit that uses the predetermined area and the specific product category to calculate a sales amount ratio or a sales quantity ratio for each manufacturer of the specific product category in the predetermined area; Equipped with The information terminal includes: Display the sales amount ratio or sales number ratio obtained from the server.

3. The distribution industry efficiency support device according to claim 1 or 2.

9. The server, Obtain the first product category, generating a ranking in order of sales amount or sales quantity within a predetermined period for a second product category or product that is a subcategory of the first product category and that was purchased at the acquired store by residents within the acquired geographical area; outputting a predetermined relationship for the second product category or products in a third product category different from the first product category and the second product category; The information terminal includes: Displaying a predetermined relationship regarding the second product category or product acquired from the server; 3. The distribution industry efficiency support device according to claim 1 or 2.

10. The data identifying the region is identified based on one or more administrative divisions; 3. The distribution industry efficiency support device according to claim 1 or 2.

11. The area is specified by a proportional division of one or more administrative divisions specified by a user's input for a two-dimensional area; 3. The distribution industry efficiency support device according to claim 1 or 2.

12. The trade area data is information on population characteristics, information on household characteristics, and / or competitive information; 3. The distribution industry efficiency support device according to claim 1 or 2.

13. A computer program executed in a distribution industry efficiency support device including one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, A means for acquiring data for identifying a store and data for identifying an area; A means for generating trade area data relating to people who have used the acquired store and have a commuter address or an address in the acquired area by utilizing a database showing the relationship between at least store-related data and area-related data; Operate as The information terminal, A means for displaying the trade area data acquired from the server; A computer program for operating as a

14. A distribution industry efficiency support device including one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, Obtaining data identifying a store and data identifying an area; A step of generating trade area data relating to people who have used the acquired store and have a commuter address or an address in the acquired area by using a database showing the relationship between at least store-related data and area-related data; Run The information terminal, Displaying the trade area data acquired from the server; How to do it.

15. A distribution industry efficiency support system comprising one or more servers and one or more information terminals connected to the servers via a network so as to be capable of transmitting and receiving signals, The server, An acquisition unit that acquires data that identifies a store and data that identifies an area; an output unit that uses a database showing the relationship between at least store-related data and area-related data to generate trade area data related to people who have used the acquired store and have a commuter address or address in the acquired area; Equipped with The information terminal includes: a display unit that displays the trade area data acquired from the server; A distribution industry efficiency support system that includes:

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