Service distribution output system and program

Abstract

To develop and provide services that have a higher degree of matching with customer needs.SOLUTION: A service distribution output system comprises: a customer data acquisition section for acquiring multiple pieces of customer data respectively containing service utilization grid data that shows utilization grids by which a customer utilizes services, and utilization service content data showing service contents utilized by the customer; and a service utilization distribution output section for outputting a service utilization distribution of services utilized by the customer for each of the utilization grids, on the basis of the multiple pieces of service utilization grid data and the multiple pieces of utilization service content data, contained in the multiple pieces of customer data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a service distribution output system and program. [Background technology]

[0002] BACKGROUND ART Conventionally, a system has been proposed for using a computer to support marketing activities of companies and the like (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-101382 Summary of the Invention [Problem to be solved by the invention]

[0004] However, with the above-described conventional technologies, it is difficult to fully grasp customer needs, and there is a problem that it is not always possible to develop and provide services that closely match customer needs.

[0005] The present invention has been made to solve the above problems, and its purpose is to enable the development and provision of services that more closely match customer needs. [Means for solving the problem]

[0006] One embodiment of the present invention is a service distribution output system comprising: a customer data acquisition unit that acquires a plurality of customer data each including service usage grid data indicating the usage grid in which the customer uses the service and usage service content data indicating the content of the service used by the customer; and a service usage distribution output unit that outputs the service usage distribution of the services used by the customer for each usage grid based on the plurality of service usage grid data and the plurality of usage service content data included in the plurality of customer data.

[0007] One embodiment of the present invention is a program for causing a computer to acquire a plurality of customer data, each of which includes service usage grid data indicating the usage grid on which the customer uses the service and usage service content data indicating the content of the service used by the customer, and outputting a service usage distribution of the services used by the customer for each usage grid based on the plurality of service usage grid data and the plurality of usage service content data included in the plurality of customer data. [Effects of the Invention]

[0008] According to the present invention, it is possible to develop and provide services that more closely match customer needs. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of a functional configuration of a service distribution output system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram illustrating a first example of the flow of operations of the service distribution output system of the present embodiment. [Figure 3] FIG. 2 is a diagram illustrating an example of customer data according to the present embodiment. [Figure 4] FIG. 2 is a diagram showing a specific example of a utilization grid according to the present embodiment. [Figure 5] FIG. 2 is a diagram showing an example conceptually expressing a utilization grid according to the present embodiment. [Figure 6]FIG. 10 is a diagram illustrating an example of a service usage distribution according to the present embodiment. [Figure 7] FIG. 10 is a diagram illustrating an example of a potential needs table according to the present embodiment. [Figure 8] FIG. 10 is a diagram illustrating an example of potentially available service data according to the present embodiment. [Figure 9] FIG. 10 is a diagram illustrating a second example of the flow of operations of the service distribution output system of the present embodiment. [Figure 10] FIG. 4 is a diagram illustrating an example of service data according to the present embodiment. [Figure 11] FIG. 10 is a diagram showing a specific example of a provision grid according to the present embodiment. [Figure 12] FIG. 1 is a diagram showing an example of a conceptual representation of a provision grid according to the present embodiment. [Figure 13] FIG. 10 is a diagram illustrating an example of a service provision distribution according to the present embodiment. [Figure 14] FIG. 10 is a diagram showing an example of the flow of operations of a service distribution output system according to a modified example of the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] [Embodiment] The service distribution output system 1 of this embodiment will be described below with reference to the drawings. 1 is a diagram illustrating an example of the functional configuration of a service distribution output system 1 according to this embodiment. The service distribution output system 1 is a system that outputs the distribution of usage status of customers CS for services provided by a servicer SV and the distribution of potential needs of customers CS.

[0011] The service distribution output system 1 of this embodiment includes a management device 10 and a data server 20. The management device 10 is, for example, a computer device such as a personal computer, and includes a calculation unit 110, a storage unit 150, a display unit 160, and an operation unit 170. The calculation unit 110 includes, for example, a central processing unit (CPU), and operates based on programs and data stored in the storage unit 150 to provide various functions. The storage unit 150 includes a non-volatile storage device such as a semiconductor storage device or a hard disk drive device, and stores programs and data for the operation of the calculation unit 110. The display unit 160 includes, for example, a liquid crystal display, and displays various images based on the control of the calculation unit 110. The operation unit 170 includes, for example, a keyboard, a mouse, a touch panel, and the like, detects an operation by a user of the management device 10, and outputs the detected operation to the calculation unit 110.

[0012] The data server 20 stores various types of information referenced by the management device 10. The data server 20 may be configured as a so-called cloud server.

[0013] The management device 10 may be connected to a customer terminal device 30 and a servicer terminal device 40 via a network NT. A plurality of customer terminal devices 30 and a plurality of servicer terminal devices 40 may be connected to the network NT. The customer terminal device 30 used by the nth (n is a natural number) customer CS connected to the network NT will also be referred to as customer terminal device 30-n. The servicer terminal device 40 used by the mth (m is a natural number) servicer SV connected to the network NT will also be referred to as servicer terminal device 40-n.

[0014] The customer terminal device 30 is a computer device such as a personal computer, a smartphone, or a tablet used by the customer CS. The management device 10 may acquire the results of the operation of the customer terminal device 30 by the customer CS, and acquire the attributes of the customer CS.

[0015] The servicer terminal device 40 is a computer device used by the servicer SV, such as a personal computer, a smartphone, a tablet, etc. The management device 10 may acquire the operation result of the servicer SV on the servicer terminal device 40, and acquire the attributes of the servicer SV. That is, the management device 10 may be configured to be able to acquire the exchange between the customer terminal device 30 and the servicer terminal device 40.

[0016] The information output from the customer terminal device 30 and the servicer terminal device 40 to the network NT may be stored in advance in the data server 20 as customer data 21 or service data 24 . In this embodiment, it is assumed that the customer data 21 and the service data 24 are stored in the data server 20 in advance.

[0017] The calculation unit 110 of the management device 10 includes, as its functional units, a customer data acquisition unit 111, a service usage distribution output unit 112, a latent needs prediction unit 113, a service data acquisition unit 114, a service provision distribution output unit 115, a matching unit 116, a building data acquisition unit 117, and a service proposal unit 118. An example of the flow of operations performed by each functional unit of the management device 10 will be described below with reference to FIG.

[0018] [1: Understanding customer service usage distribution and potential needs] FIG. 2 is a diagram showing a first example of the flow of operations of the service distribution output system 1 of this embodiment.

[0019] (Step S101) The customer data acquisition unit 111 of the management device 10 acquires the customer data 21. An example of the customer data 21 will be described with reference to FIG.

[0020] 3 is a diagram showing an example of the customer data 21 of this embodiment. In this example of this embodiment, the customer data 21 is information in which a customer ID, service use grid data 211, and use service content data 212 are associated with each other.

[0021] The service usage grid data 211 is information indicating the usage grid GC where the customer CS uses the service. The service usage grid data 211 can also be said to be information indicating when and where the service was used (for example, the status of service usage).

[0022] The service use grid data 211 also includes preference data 2111 , family data 2112 , and lifestyle data 2113 . The preference data 2111 is information indicating, for example, the interior preferences of the customer CS, mealtime preferences, menu and taste preferences, and the hobbies of the customer CS. The family data 2112 is information indicating, for example, the family structure of the customer CS's cohabiting family, whether or not the customer CS has pets, and the structure of family members and relatives who do not live with the customer CS. The life data 2113 is, for example, information indicating the customer CS's electricity, water, communication, facility usage status, financial information such as payment, and other usage status.

[0023] The used service content data 212 is information indicating the content of the service used by the customer CS. The used service content data 212 can also be said to be information indicating what kind of service the customer CS used (for example, the type of service).

[0024] The customer data acquisition unit 111 acquires the customer data 21 for each of a plurality of customers CS.

[0025] That is, the customer data acquisition unit 111 acquires multiple customer data 21 each including service usage grid data 211 indicating the usage grid GC on which the customer CS uses the service, and usage service content data 212 indicating the content of the service used by the customer CS.

[0026] [About the grid used] The usage grid GC is information that indicates the range of the customer CS's position relative to the service. For example, the usage grid GC includes a "physical area" that indicates the location where the customer CS receives the service, an "attribute area" that indicates the attributes of the customer CS receiving the service, and a "psychological area" that indicates what kind of service the customer CS wants to receive (or whether they received the service). The usage grid GC also includes a "personal network area" where information about the service spreads by word of mouth among the customer CS. Here, the personal network includes networks that spread through word of mouth in real life as well as networks that spread via social networking sites, etc.

[0027] That is, the usage grid GC may be a physical usage area where a customer CS uses a service.

[0028] The usage grid GC may also be a type that indicates the attributes or needs of the customer CS.

[0029] The usage grid GC may include at least one of the following types: detached house, apartment building, family of customer CS, childcare, pet, senior, and landlord.

[0030] FIG. 4 is a diagram showing a specific example of a usage grid GC in this embodiment. The figure shows an example of a usage grid GC of a customer CS when the usage grid GC is a "physical area." In this example, the customer CS with customer ID: CS01 is shown among multiple customers CS. When the usage grid GC is a "physical area," the horizontal axis xc of the usage grid GC indicates the east-west direction of a certain area, and the vertical axis yc indicates the north-south direction.

[0031] In this example, customer CS receives a service with service content zc1 at location (xc1, yc1) of usage grid GC01-1. In this case, the usage grid GC of customer CS is represented as usage grid GC01-1(xc1, yc1, zc1). Of the usage grid GC01-1(xc1, yc1, zc1), (xc1, yc1) corresponds to the service usage grid data 211, and (zc1) corresponds to the usage service content data 212.

[0032] Similarly, customer CS receives service of service content zc2 at position (xc2, yc2) of usage grid GC01-2. In this case, usage grid GC of customer CS is represented as usage grid GC01-2(xc2, yc2, zc2). Customer CS receives service with service content zc3 at position (xc3, yc3) of usage grid GC01-3. In this case, usage grid GC of customer CS is represented as usage grid GC01-3(xc3, yc3, zc3).

[0033] The used grid GC shown in Fig. 4 is an example of the used grid GC, and is not limited to this. The used grid GC can also be expressed more generally as shown in Fig. 5.

[0034] 5 is a diagram showing an example conceptually expressing a usage grid GC of this embodiment. As described above, the usage grid GC is represented by service usage grid data 211 and usage service content data 212. In the example shown in the figure, a plane formed by axes xc and yc represents the service usage grid data 211. Axis zc represents the usage service content data 212. The usage grid GC of customer CS with customer ID: CS01 is represented as usage grid GC01-1(xc, yc, zc).

[0035] The usage grid GC can be expressed in any format as long as it can separate multiple different positionings of the customer CS for the service and can represent the relative distance and direction between the separated positionings. In the above example, the service usage grid data 211 is two-dimensional, the usage service content data 212 is one-dimensional, and the usage grid GC is expressed in a three-dimensional space, but this is not limiting. The usage grid GC may be expressed as a position in a four-dimensional or higher-dimensional space.

[0036] [Calculation of service usage distribution DC] (Step S102) Returning to FIG. 2, the service usage distribution output unit 112 calculates the service usage distribution DC based on the customer data 21 acquired in step S101. The service usage distribution DC is information that aggregates the usage status of services used by each customer CS.

[0037] For example, the service usage distribution output unit 112 generates a heat map of the usage grid GC based on the service usage grid data 211 and the usage service content data 212 included in the customer data 21. The service usage distribution output unit 112 outputs the generated heat map as a service usage distribution DC.

[0038] That is, the service usage distribution output unit 112 outputs a service usage distribution DC of the services used by the customer CS for each usage grid GC based on the multiple service usage grid data 211 and the multiple usage service content data 212 contained in the multiple customer data 21.

[0039] FIG. 6 is a diagram showing an example of a service usage distribution DC according to this embodiment. In the figure, the example of the service usage distribution DC is expressed by arranging the positioning indicated by the service usage grid data 211 for each customer CS on a plane formed by the xc and yc axes. The service usage distribution output unit 112 generates a heat map by integrating the usage grid GC (xc, yc, zc) for each customer CS for multiple customer CSs. The generated heat map indicates the frequency (e.g., popularity) of services used by the customer CSs. In this example, positions in the usage grid GC that are darkly filled indicate services with relatively high popularity. For example, the service usage distribution DC(x2, y1) indicates a higher frequency of service usage than the service usage distribution DC(xj-1, yk-1). (Note that the subscripts j and k are both natural numbers.)

[0040] The service usage distribution DC can be calculated from various perspectives. In the example described above, the service usage distribution DC is expressed by a plane formed by the axes xc and yc, but this is not limiting.

[0041] [Predicting potential customer needs and generating data on potential services] (Step S103) Returning to FIG. 2, the potential needs prediction unit 113 predicts the potential needs of the customer CS based on the customer data 21 acquired in step S101. Latent needs are needs that the customer CS has not expressed to others (or needs that the customer CS himself is not aware of). As an example, the potential needs prediction unit 113 predicts the potential needs of the customer CS based on the potential needs table 22 shown in FIG.

[0042] 7 is a diagram showing an example of the latent needs table 22 of this embodiment. The latent needs table 22 is information in which attributes of customer CSs are associated with latent needs. Here, the attributes of customer CSs are information that classifies the status of customer CSs based on, for example, the service usage grid data 211 and the service usage content data 212 of the customer CSs.

[0043] In the latent needs table 22, "My first child will be born next month" is defined as an attribute of customer CS, and "I want a kettle for powdered milk" is defined as the corresponding latent need. For a certain customer CS, it is possible to predict a situation in which a family will grow (for example, a first child will be born) based on the family data 2112 and lifestyle data 2113 included in the service usage grid data 211. The latent needs prediction unit 113 predicts that the customer CS will be in the situation of "having a first child" based on the service usage grid data 211 of the certain customer CS. When predicting that "a first child will be born," the latent needs prediction unit 113 refers to the latent needs table 22 and acquires "I want a kettle for powdered milk" as a latent need of the customer CS. The latent needs prediction unit 113 outputs the acquired latent needs of the customer CS.

[0044] (Step S104) Returning to FIG. 2, the potential needs prediction unit 113 generates potential use service data 23 based on the potential needs predicted in step S103.

[0045] As described above, the customer data 21 includes at least one of preference data 2111 indicating the preferences of the customer CS, family data 2112 indicating the family of the customer CS, and lifestyle data 2113 indicating the lifestyle of the customer CS. The latent needs prediction unit 113 predicts the latent needs of the customer CS based on at least one of the preference data 2111, the family data 2112, and the lifestyle data 2113, and / or multiple service usage grid data 211 and multiple usage service content data 212 of services that the customer CS is using simultaneously.

[0046] The potential needs include potential service usage grid data 231 indicating the usage grid GC of the service that the customer CS desires to potentially use, and potential usage service content data 232 indicating the content of the service that the customer CS desires to potentially use.

[0047] 8 is a diagram showing an example of the potentially used service data 23 of this embodiment. The potentially used service data 23 is information in which potentially used service usage grid data 231 and potentially used service content data 232 are associated with each other. The potential needs prediction unit 113 predicts the status of service provision and the type of service potentially desired by the customer CS based on the potential needs of the customer CS, and associates the potentially used service usage grid data 231 with the potentially used service content data 232. The potential needs prediction unit 113 stores the potentially used service usage grid data 231 and the potentially used service content data 232 associated with each customer CS in the data server 20 as the potentially used service data 23.

[0048] (Step S105) Returning to FIG. 2 , the service usage distribution output unit 112 presents the distribution of latent needs. Specifically, the service usage distribution output unit 112 aggregates the latent use service data 23 for each customer CS calculated in step S104 to calculate a latent service usage distribution DP. The latent service usage distribution DP is the distribution of services that the customer CS potentially desires to use. The service usage distribution output unit 112 displays the calculated latent service usage distribution DP on the display unit 160.

[0049] That is, the service usage distribution output unit 112 outputs a potential service usage distribution DP of services that a customer CS potentially desires to use for each potential usage grid GP based on multiple potential service usage grid data 231 and multiple potential usage service content data 232.

[0050] As described above, the service distribution output system 1 generates a service usage distribution DC by aggregating the customer data 21 of multiple customers CS. In addition, the service distribution output system 1 predicts the potential needs of a certain customer CS based on the customer data 21 of the customer CS. The service distribution output system 1 configured in this manner makes it possible to propose services that are more in line with the frequency of use (for example, popularity) of the service by the customer CS and with the potential needs of the customer CS (highly matched).

[0051] [2: Understanding the distribution of service provision from the service provider side] FIG. 9 is a diagram showing a second example of the flow of operations of the service distribution output system 1 of this embodiment.

[0052] (Step S201) The service data acquisition unit 114 of the management device 10 acquires the service data 24. An example of the service data 24 will be described with reference to FIG.

[0053] 10 is a diagram showing an example of the service data 24 of this embodiment. In this example of this embodiment, the service data 24 is information in which a servicer ID, service providing grid data 241, and provided service content data 242 are associated with each other.

[0054] The service providing grid data 241 is information indicating a providing grid GS on which the service provider SV provides a service. The service providing grid data 241 can also be said to be information indicating when and where the service was provided (for example, the status of the service provision). The provided service content data 242 is information indicating the content of the service provided by the servicer SV. The provided service content data 242 can also be said to be information indicating what kind of service the service provided by the servicer SV is (for example, the type of service).

[0055] That is, the service data acquisition unit 114 acquires multiple service data 24 each including service provision grid data 241 indicating the provision grid GS on which the servicer SV provides the service, and provision service content data 242 indicating the content of the service provided by the servicer SV.

[0056] The operating company that is the servicer SV can be identified by a servicer ID. The servicer SV may be a company that is affiliated with or has a capital relationship with the company that operates the service distribution output system 1 (also referred to as the system operator; an example of the first company), or may be a company that has no affiliated or capital relationship with the company that operates the service distribution output system 1. If the servicer SV is a business operator that the system operator is affiliated with or has a capital relationship with, the service provision distribution DS can also be said to be the service provision distribution DS of the services provided by the servicer SV that the first business operator is affiliated with.

[0057] [About the grid provided] The provision grid GS is information that indicates the range of location of the service provided by the servicer SV. For example, the provision grid GS includes a "physical area" that indicates the location where the servicer SV provides the service, an "attribute area" that indicates the attributes of the servicer SV providing the service, and a "psychological area" that indicates what kind of service the servicer SV feels like providing (or whether they have provided the service). The provision grid GS also includes a "personal network area" where information about the service spreads by word of mouth among the servicer SV. Here, the personal network includes networks that spread through word of mouth in real life as well as networks that spread through social media, etc.

[0058] That is, the providing grid GS may be a physical providing area in which the servicer SV provides services.

[0059] The provision grid GS may also be a type that indicates the attributes or needs of the customer CS.

[0060] The provision grid GS may include at least one of the following types: detached house, apartment building, family of customer CS, childcare, pet, senior, and landlord.

[0061] FIG. 11 is a diagram showing a specific example of a provision grid GS in this embodiment. The figure shows an example of a provision grid GS when the provision grid GS is a "physical area." In this example, a servicer SV with servicer ID: SV01 is shown among multiple servicers SV. When the provision grid GS is a "physical area," the horizontal axis xs of the provision grid GS indicates the east-west direction of a certain area, and the vertical axis ys indicates the north-south direction.

[0062] In this example, the servicer SV provided a service with service content zs1 at the location (xs1, ys1) of the provision grid GS01-1. In this case, the provision grid GS of the servicer SV is represented as the provision grid GS01-1(xs1, ys1, zs1). Of the provision grid GS01-1(xs1, ys1, zs1), (xs1, ys1) corresponds to the service provision grid data 241, and (zs1) corresponds to the provided service content data 242.

[0063] Similarly, the servicer SV provided a service with service content zs2 at the position (xs2, ys2) of the provision grid GS01-2. In this case, the provision grid GS of the servicer SV is represented as provision grid GS01-2 (xs2, ys2, zs2). The servicer SV provided a service with service content zs3 at the position (xc3, yc3) of the providing grid GS01-3. In this case, the providing grid GS of the servicer SV is represented as providing grid GS01-3 (xs3, ys3, zs3).

[0064] The provision grid GS shown in Fig. 11 is an example of the provision grid GS, and is not limited to this example. The provision grid GS can also be expressed more generally as shown in Fig. 12.

[0065] 12 is a diagram showing an example conceptually expressing a provision grid GS of this embodiment. As described above, the provision grid GS is represented by service provision grid data 241 and provided service content data 242. In the example shown in the same figure, a plane formed by axes xs and ys represents the service provision grid data 241. An axis zs represents the provided service content data 242. The provision grid GS of a servicer SV with servicer ID: SV01 is expressed as provision grid GS01-1(xs, ys, zs).

[0066] The provision grid GS may be expressed in any format as long as it can separate multiple different positionings of the services provided by the servicer SV and can represent the relative distances and directions between the separated positionings. In other words, any representation format may be used as long as the positioning of the service provided by the service provider SV indicated by the provision grid GS and the positioning of the customer CS with respect to the service indicated by the use grid GC can be mathematically compared. In the above example, the service provision grid data 241 is two-dimensional, the provided service content data 242 is one-dimensional, and the provision grid GS is expressed in a three-dimensional space, but this is not limiting. The provision grid GS may be expressed as a position in a four-dimensional or higher-dimensional space.

[0067] [Calculation of service provision distribution DS] (Step S202) Returning to FIG. 9, the service provision distribution output unit 115 calculates a service provision distribution DS based on the service data 24 acquired in step S201. The service provision distribution DS is information that aggregates the provision status of services provided by each service provider SV.

[0068] For example, the service provision distribution output unit 115 generates a heat map of the provision grid GS based on the service provision grid data 241 and the provided service content data 242 included in the service data 24. The service provision distribution output unit 115 outputs the generated heat map as the service provision distribution DS.

[0069] That is, the service provision distribution output unit 115 outputs a service provision distribution DS of the services provided by the servicer SV for each provision grid GS based on a plurality of service provision grid data 241 and a plurality of provided service content data 242.

[0070] FIG. 13 is a diagram showing an example of a service provision distribution DS according to this embodiment. In the figure, the example of the service provision distribution DS is expressed by arranging the positioning indicated by the service provision grid data 241 for each servicer SV on a plane formed by the axes xs and ys. The service provision distribution output unit 115 generates a heat map by integrating the provision grids GS (xs, ys, zs) for each servicer SV for multiple servicers SV. The generated heat map indicates the frequency of services provided by the servicer SV (e.g., the degree of completeness of the service). In this example, positions in the provision grid GS that are darkly filled indicate services with a relatively high degree of completeness. For example, the service provision distribution DS(x1, y2) indicates a higher degree of completeness of the service than the service provision distribution DS(xq-1, yr-1). (Note that the subscripts q and r are both natural numbers.)

[0071] The service provision distribution DS can be calculated from various perspectives. In the example described above, the service provision distribution DS is expressed on a plane defined by the axes xs and ys, but this is not limiting.

[0072] [Distribution of service use versus distribution of service provision] (Step S203) Returning to FIG. 9, the service provision distribution output unit 115 acquires the service use distribution DC calculated in step S102 or the potential service use distribution DP calculated in step S105. The service provision distribution output unit 115 displays on the display unit 160 at least one of the acquired service usage distribution DC and the potential service usage distribution DP in comparison with the service provision distribution DS calculated in step S202.

[0073] That is, the service provision distribution output unit 115 displays on the display unit 160 at least one of the service usage distribution DC and the potential service usage distribution DP of the services that the customer CS seeks to potentially use for each potential usage grid GP, together with the service provision distribution DS.

[0074] The service usage distribution DC indicates the distribution of the explicit needs of customers CS for services. The latent service usage distribution DP indicates the distribution of the latent needs of customers CS for services. Furthermore, the service provision distribution DS indicates the distribution of the service provision status of servicer SV for customers CS. In other words, the service distribution output system 1 presents a comparison between the distribution of the explicit needs or the distribution of the latent needs of customers CS and the distribution of the service provision status of servicer SV.

[0075] (Step S204) The matching unit 116 calculates services that meet (or match) the potential needs of the customer CS based on the distribution of the potential needs of the customer CS and the distribution of the service provision status of the servicer SV compared by the service provision distribution output unit 115. The matching unit 116 displays the calculated services (i.e., services that match the potential needs of the customer CS) on the display unit 160.

[0076] That is, the matching unit 116 outputs service data 24 that matches the potential needs of the customer CS based on the potential service use distribution DP and the service provision distribution DS of the services that the customer CS seeks to potentially use for each potential use grid GP.

[0077] As explained above, the service distribution output system 1 calculates the service provision distribution DS by the servicer SV. As mentioned above, the service provision distribution DS indicates the concentration (e.g., completeness) of the services provided for each provision grid GS. The servicer SV can understand that a provision grid GS with a high concentration has intense competition between services, and a provision grid GS with a low concentration has less competition between services. By obtaining the service provision distribution DS, the servicer SV can consider which provision grid GS the service should be deployed on and what kind of service it should provide.

[0078] Furthermore, the service distribution output system 1 presents the service usage distribution DC or the potential service usage distribution DP together with the service provision distribution DS in a form that allows comparison. With the service distribution output system 1 configured in this way, the service provider SV can consider which provision grid GS to deploy the service on and what kind of service should be provided, by comparing it with the apparent or potential needs of the customer CS.

[0079] [Variation 1: Credit score analysis] The customer data 21 may include a customer credit score 251 indicating the creditworthiness of the customer CS. The creditworthiness of the customer CS refers to the degree of involvement of the customer CS with the service (or the classification of the customer CS), such as the likelihood of payment for the service, the degree of loyalty to the service, the size of the customer's lifetime value for the service, and the number of problems with the service.

[0080] In this case, the service usage distribution output unit 112 may be configured to output a credit score distribution D25 of the customer CS for each usage grid GC based on a plurality of customer side credit scores 251 included in a plurality of customer data 21.

[0081] The service provision distribution output unit 115 may also be configured to filter the service provision distribution DS based on the customer-side credit score 251. Note that filtering includes narrowing down and prioritizing display targets and matching targets when displaying on the display unit 160 or when performing a matching calculation between a customer CS and a service.

[0082] According to the service distribution output system 1 configured in this manner, customer CS can be classified (e.g., segmented) and displayed or matched, which makes it possible to develop and provide services that more closely match the needs of customer CS.

[0083] In the above example, the servicer SV obtains the results of filtering based on the creditworthiness of the customer CS and uses them to develop and provide services, but this is not limited to this. For example, the system may be configured as shown below. (1) Filtering services proposed to a customer CS according to the customer CS's creditworthiness. (2) Filtering the services proposed to the customer CS according to the creditworthiness of the servicer SV. (3) Filtering customer CSs presented to the servicer SV according to the servicer SV's creditworthiness.

[0084] [Variation 2: Proposing services that meet customer CS needs] FIG. 14 is a diagram showing an example of the flow of operations of the service distribution output system 1 in the modified example of this embodiment.

[0085] (Step S301) The customer data acquisition unit 111 acquires customer data 21 from the data server 20. The customer data 21 in this modified example includes building data 26 of the building where the customer CS resides. The building data 26 may include floor plan data 261. In this case, the customer data acquisition unit 111 can also be said to be the building data acquisition unit 117.

[0086] That is, the building data acquisition unit 117 acquires the building data 26 including at least floor plan data 261 indicating the floor plan of the building in which the customer CS resides.

[0087] (Step S302) The service proposal unit 118 determines the apparent needs or latent needs of the customer CS based on the customer data 21.

[0088] For example, in an example of the latent needs table 22 shown in Figure 7, if a customer CS attribute such as "my first child will be born next month" is obtained from the customer data 21 (e.g., family data 2112 or lifestyle data 2113), the service proposal unit 118 can determine that the latent need is "I want a kettle for powdered milk." Similarly, the service proposal unit 118 can determine potential needs such as "I want to rent a convenient storage facility," "I want to watch children's movies at low prices," and "I want to have a pet" according to the attributes of the customer CS.

[0089] Furthermore, for example, the service proposal unit 118 can estimate changes in the way a room is used in response to changes in the lifestyle of the customer CS, based on the customer data 21 (for example, the family data 2112, the lifestyle data 2113, and the floor plan data 261). For example, the service proposal unit 118 can estimate that a room that was used as a children's room is no longer in use because the children have moved out, or that an unused room (or a room that was being used as storage space) is now being used because the parent's family lives far away. The service proposal unit 118 can propose sales or rental services for furniture and home appliances that have become necessary as the way the room is used changes, and can propose storage services (for example, rental warehouses) for furniture and home appliances that are no longer needed.

[0090] (Step S303) The service proposing unit 118 proposes various services to the customer CS based on the needs of the customer CS determined in step S302.

[0091] (1) Proposal of storage services The service proposal unit 118 includes a storage service proposal unit 1181. Based on the floor plan data 261, the storage service proposal unit 1181 proposes to the customer CS a storage service that will store an amount of items according to the size of the floor plan.

[0092] For example, in response to a potential need of a customer CS to "rent a convenient warehouse," the storage service proposal unit 1181 proposes to the customer CS a storage service that stores an amount of items according to the layout of the building of the customer CS (for example, the size of the room used as storage space).

[0093] Furthermore, if the customer data 21 includes family data 2112 indicating the family of the customer CS, the storage service suggestion unit 1181 may suggest a storage service further based on the family data 2112.

[0094] In this case, the storage service proposal unit 1181 can propose storage services depending on the increase or decrease in the number of family members of the customer CS, their age, etc. For example, the storage service proposal unit 1181 may consider cases where the customer CS is elderly or has difficulty walking long distances while carrying luggage. In such cases, the storage service proposal unit 1181 can make proposals that better match the potential needs of the customer CS, such as proposing a rental warehouse that is closer to the building of the customer CS or a rental warehouse with a collection and delivery service.

[0095] (2) Proposal for sales and rental of home appliances The service proposal unit 118 includes a rental service proposal unit 1182. The rental service proposal unit 1182 proposes the rental of a home appliance based on the floor plan data 261. Note that the rental service proposal unit 1182 may propose the sale of a home appliance instead of (or in addition to) the rental of the home appliance.

[0096] For example, there may be cases where the building of a customer CS has rooms that do not have air conditioning equipment (e.g., air conditioners or air purifiers). In such cases, the customer CS may have a latent need to "install new air conditioning equipment." In response to this latent need of the customer CS, the rental service proposal unit 1182 proposes to the customer CS air conditioning equipment with a capacity that matches the layout of the building of the customer CS (e.g., room size).

[0097] Furthermore, if the customer data 21 includes family data 2112 indicating the family of the customer CS, the rental service proposal unit 1182 may propose the rental of a home appliance based on the family data 2112 as well.

[0098] For example, when the number of family members of a customer CS increases and a room that was previously used as storage space is used as a living space or a bedroom, there may be cases where no air conditioning equipment (e.g., an air conditioner or air purifier) ​​is installed in this room. In such cases, the customer CS may have a latent need to "install a new air conditioning equipment in the room to be used as a living space or a bedroom." In response to this latent need of the customer CS, the rental service proposal unit 1182 proposes to the customer CS an air conditioning equipment with a capacity that matches the floor plan of the building of the customer CS (e.g., the size of the room).

[0099] (3) Subscription service proposal The service proposal unit 118 includes a subscription service proposal unit 1183. The subscription service proposal unit 1183 proposes subscription services according to the ages of family members based on the family data 2112 of the customer data 21.

[0100] For example, in response to a latent need of a customer CS who wants to "watch children's movies at a low price," the subscription service proposal unit 1183 proposes a subscription service that allows unlimited viewing of children's movies for a fixed monthly fee.

[0101] (4) Subscription service proposal The family data 2112 may include pet data indicating pets of the customer CS. The pet data is information indicating whether the customer CS keeps pets, the type of pets, the number of pets, the ages of the pets, and so on. The subscription service suggestion unit 1183 suggests subscription services related to pets based on the pet data.

[0102] For example, the subscription service proposal unit 1183 proposes a subscription service that provides pet food, toilet equipment, grooming services, pet sitters, etc. for a fixed monthly fee in response to a potential need of a customer CS who wants to have a pet.

[0103] In the above example, the service distribution output system 1 is described as proposing a service to the customer CS, but this is not limited to this. The service distribution output system 1 may also propose to the service provider SV the service provision grid GS and the content of the service to be proposed to the customer CS.

[0104] According to the service distribution output system 1 of this embodiment configured as described above, it is possible to develop and provide services that more closely match the needs of customers CS.

[0105] Although the embodiments of the present invention have been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment and can be appropriately modified without departing from the spirit of the present invention. The configurations described in the above-mentioned embodiments may be combined.

[0106] Each unit included in each device in the above-described embodiments may be realized by dedicated hardware, or may be realized by a memory and a microprocessor.

[0107] In addition, each part of each device may be composed of a memory and a CPU (central processing unit), and the functions of each part of each device may be realized by loading a program into memory and executing it.

[0108] In addition, a program for realizing the functions of each unit of each device may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed to perform processing by each unit of the control unit. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.

[0109] Furthermore, if a WWW system is used, the "computer system" also includes the homepage provision environment (or display environment). "Computer-readable recording media" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. Furthermore, "computer-readable recording media" also includes devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs over networks like the Internet or over communication lines like telephone lines, and devices that store programs for a fixed period of time, such as volatile memory within computer systems that serve as servers or clients. Furthermore, the programs may be programs that implement some of the aforementioned functions, or may be programs that can realize the aforementioned functions in combination with programs already stored in the computer system. [Explanation of symbols]

[0110] 1...service distribution output system, 10...management device, 20...data server, 30...customer terminal device, 40...servicer terminal device, 110...calculation unit, 111...customer data acquisition unit, 112...service usage distribution output unit, 113...latent needs prediction unit, 114...service data acquisition unit, 115...service provision distribution output unit, 116...matching unit, 117...building data acquisition unit, 118...service proposal unit, 160...display unit

Claims

1. a customer data acquisition unit that acquires a plurality of customer data each including service usage grid data indicating a usage grid in which the customer uses a service and usage service content data indicating the content of the service used by the customer; a service usage distribution output unit that outputs a service usage distribution of services used by the customer for each usage grid based on the plurality of service usage grid data and the plurality of usage service content data included in the plurality of customer data; A service distribution output system comprising:

2. the customer data includes at least one of preference data indicating the preferences of the customer, family data indicating the family of the customer, and lifestyle data indicating the living situation of the customer; a potential needs prediction unit that predicts potential needs of the customer based on at least one of the preference data, the family data, and the lifestyle data, and / or a plurality of the service usage grid data and a plurality of the usage service content data of services simultaneously used by the customer; The service distribution output system of claim 1 further comprising:

3. The potential needs include potential service use grid data indicating a use grid of a service that the customer potentially desires to use, and potential use service content data indicating the content of the service that the customer potentially desires to use. The service distribution output system according to claim 2 .

4. The service usage distribution output unit Based on the plurality of potential service usage grid data and the plurality of potential usage service content data, a potential service usage distribution of the service that the customer desires to potentially use is output for each potential usage grid.

4. The service distribution output system according to claim 3.

5. a service data acquisition unit that acquires a plurality of service data each including service provision grid data indicating a provision grid on which a service is provided by a servicer and provision service content data indicating the content of the service provided by the servicer; a service provision distribution output unit that outputs a service provision distribution of services provided by the servicer for each of the provision grids based on the plurality of service provision grid data and the plurality of provided service content data; The service distribution output system according to any one of claims 1 to 4, further comprising:

6. The system further includes a display unit that displays at least one of the service usage distribution and a potential service usage distribution of services that the customer desires to potentially use for each potential usage grid together with the service provision distribution.

6. The service distribution output system according to claim 5.

7. The system further includes a matching unit that outputs service data that matches the potential needs of the customer based on the potential service usage distribution of the service that the customer desires to potentially use for each potential usage grid and the service provision distribution.

6. The service distribution output system according to claim 5.

8. The service provision distribution is a service provision distribution of services provided by a servicer affiliated with the first business operator.

6. The service distribution output system according to claim 5.

9. the customer data includes a credit score indicating the creditworthiness of the customer; The service usage distribution output unit outputting a credit score distribution of the customer for each of the usage grids based on the plurality of credit scores included in the plurality of customer data; A service distribution output system according to any one of claims 1 to 4.

10. the customer data includes a credit score indicating the creditworthiness of the customer; The service provision distribution output unit Filtering the service offering distribution based on the credit score.

6. The service distribution output system according to claim 5.

11. The usage grid is the physical usage area in which the customer uses the service. A service distribution output system according to any one of claims 1 to 4.

12. The service grid is the physical service area in which the servicer provides services.

6. The service distribution output system according to claim 5.

13. The usage grid is a type that indicates the attributes or needs of the customer. A service distribution output system according to any one of claims 1 to 4.

14. The usage grid includes at least one of the following types: detached house, apartment building, family of the customer, childcare, pet, senior, and landlord.

14. The service distribution output system of claim 13.

15. The provision grid is a type that indicates the attributes or needs of the customer.

6. The service distribution output system according to claim 5.

16. The provision grid includes at least one type of a detached house, an apartment building, a family of the customer, a childcare worker, a pet, a senior, and a landlord.

16. The service distribution output system of claim 15.

17. The building data acquisition unit further acquires building data including at least floor plan data indicating the floor plan of the building in which the customer resides. A service distribution output system according to any one of claims 1 to 4.

18. The storage service proposal unit further includes a storage service proposal unit that proposes a storage service for storing an amount of items according to the size of the floor plan based on the floor plan data.

18. The service distribution output system of claim 17.

19. the customer data includes family data indicating family members of the customer; The storage service proposal unit Proposing the storage service further based on the family data 20. The service distribution output system of claim 18.

20. The home appliance rental service proposal unit may further include a rental service proposal unit that proposes rental of home appliances based on the floor plan data.

18. The service distribution output system of claim 17.

21. the customer data includes family data indicating family members of the customer; The lending service proposal unit Proposing rental of the home appliance based on the family data 21. The service distribution output system of claim 20.

22. the customer data includes family data indicating family members of the customer; The system further includes a subscription service suggestion unit that suggests subscription services according to the ages of family members based on the family data. A service distribution output system according to any one of claims 1 to 4.

23. the family data includes pet data indicative of a pet of the customer; The subscription service proposal unit Based on the pet data, a subscription service related to the pet is proposed.

23. The service distribution output system of claim 22.

24. On the computer, Acquiring a plurality of customer data, each of which includes service usage grid data indicating a usage grid on which the customer uses a service, and usage service content data indicating the content of the service used by the customer; outputting a service usage distribution of services used by the customer for each of the usage grids based on the plurality of service usage grid data and the plurality of service usage content data included in the plurality of customer data; A program to execute.

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