Service proposal support system and service proposal support method

Abstract

To support proposal of a service using a solution that is easily accepted by a customer, including at least either of a solution not matched with an object recognized by the customer and a solution which cannot be realized by the current system.SOLUTION: A service proposal support system according to the present invention has a calculating device and a storage device. The calculating device calculates, with respect to each solution capable of being proposed by a proposing party, coincidence between system elements required for the solution and current system elements of the customer, outputs, based on the coincidence, one or more solution candidates to be proposed to the customer, and outputs, with respect to at least any one of the one or more solution candidates, if the current system elements of the customer lack any one of the system elements of the solution candidates, information indicating the lacking system element.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a technique for supporting service proposals in the sales activities of a company or the like. [Background technology]

[0002] As a technology for supporting the proposal of solutions in the sales activities of a company, for example, there is a technology described in JP 2019-212082 A (Patent Document 1). Patent Document 1 describes that "a digital solution proposal support device includes a storage device that stores solution information and digitalization maturity information, and a calculation logic for a digital solution and its customer value at the time of its introduction from the solution information for a problem of a specific customer designated via a specific interface, applies a specific attribute value held for the customer as an input value of the identified calculation logic to estimate customer value, applies a specific coefficient according to the level indicated by the digitalization maturity information to the estimated calculation result, and specifies customer value to be presented to the customer, and outputs information on the specified digital solution and customer value to be presented to the customer."

[0003] Furthermore, as an example of a technology for a company to provide a solution that meets the customer's requirements, there is a technology described in, for example, Japanese Patent Application Laid-Open No. 2005-056070 (Patent Document 2). Patent Document 2 states, "For example, a Web server device connected to a network such as the Internet is provided at the head office of a manufacturer of a product for sale, and a terminal device at the customer's location is connected to the network, so that information is displayed on a display means. A database server in which a proposal master, a product master, and a customer master are provided is also connected to the Web server device. Here, for example, tens of thousands of "proposals" are registered in the proposal master, and points and deviation values ​​are set as the presentation suitability for each proposal for each of a number of issues. Then, a process is performed to extract an appropriate solution from information on the customer's requirement level for each issue, and the solution is presented to the customer, and information based on the customer master is sent by email together with the solution to the sales company."

[0004] Furthermore, as a technology for supporting the proposal of security measures, for example, there is a technology described in Japanese Patent Laid-Open No. 2006-235692 (Patent Document 3). Patent Document 3 describes that "an information processing device is provided with a product / service information DB in which, for each product / service, the introduction cost, the satisfaction level, and the relevance between a security measure item and the product / service are associated, a solution information DB in which a solution is associated with each product / service, a means for receiving input of the importance of each security measure item, an introduced product / service, and an allowable cost, a means for determining a solution that matches the received importance level using the input importance level, the introduced product / service, the allowable cost, and data stored in the product / service information DB and the solution information DB, and a means for presenting the effect of the measures when the determined solution is introduced." [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2019-212082 A [Patent Document 2] JP 2005-056070 A [Patent Document 3] JP 2006-235692 A Summary of the Invention [Problem to be solved by the invention]

[0006] Patent document 1 discloses that the person making the proposal listens to the customer's issues and the level of digitalization in the customer's current system, and helps propose a solution that is suited to the customer's issues and current system.

[0007] Patent Document 2 discloses a method of evaluating the compatibility between a proposal master in which a large number of proposals are registered in advance and information input by a customer, and presenting solutions in order of compatibility.

[0008] Patent Document 3 discloses that the sum of the differences between the current achievement level and the importance level for each security measure item is calculated as the degree of excess or deficiency, and the combination that minimizes the degree of excess or deficiency is determined to be the optimal combination.

[0009] The techniques disclosed in the above patent documents all make proposals that match the objectives recognized by the customer and the customer's current system. However, in reality, since the customer does not necessarily accurately grasp his / her objectives (for example, the problem to be solved), even if the proposed solution exceeds the objectives recognized by the customer, it may actually be judged to be useful by the customer and accepted. In addition, even if the proposed solution cannot be realized with the customer's current system, it may be accepted by the customer in consideration of the cost to compensate for the deficiencies of the system and the benefit when the solution is realized. However, in the past, it was not possible to support proposals that exceed the objectives recognized by the customer, or to support proposals that exceed the range that can be realized with the customer's current system together with proposals for improving the system to make the proposals possible. [Means for solving the problem]

[0010] In order to solve at least one of the above problems, the present invention One aspect of is a service proposal support system comprising a computing device and a storage device, the storage device holding solution information indicating system elements required for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The solution is a solution that utilizes data acquired in the business of the client, and the storage device further holds on-site system information indicating a data acquisition status in the current client's system, and system level information indicating a criterion for determining a system level based on the data acquisition status, and the solution information includes information indicating system elements necessary for a solution that a proposer can propose to provide a service to the client for each level of the system, The computing device includes: determining a level of the current system of the customer based on the on-site system information and the system level information, calculating a degree of agreement between the required system elements corresponding to the current system level of the customer in the solution information and the current system elements of the customer, and further calculating a degree of agreement between the required system elements corresponding to a level higher than the current system level of the customer in the solution information and the current system elements of the customer,The method is characterized in that, for each of the solutions that the proposer can propose, a degree of match between the system elements required for that solution and the current system elements of the customer is calculated, and one or more candidate solutions to be proposed to the customer are output based on the degree of match, and, if there is a shortage of the current system elements of the customer compared to the system elements required for at least one of the one or more candidate solutions, information indicating the missing system elements is output. Effect of the Invention

[0011] According to one aspect of the present invention, it is possible to support the proposal of services using solutions that are likely to be accepted by the customer, including at least one of solutions that do not match the purpose recognized by the customer and solutions that cannot be realized with the customer's current system. Note that objects, configurations, and effects other than those described above will be made clear in the following embodiments. [Brief description of the drawings]

[0012] [Figure 1] 2 is a flowchart showing an example of main processing in sales activities using the service proposal support system according to the embodiment of the present invention. [Diagram 2] 1 is a block diagram showing an example of a configuration of a service proposal support system according to an embodiment of the present invention. [Diagram 3] FIG. 2 is an explanatory diagram illustrating an example of a system configuration diagram displayed by the service proposal support system according to the embodiment of the present invention. [Figure 4] 11 is a flowchart showing an example of a process for inquiring about on-site data conditions using the service proposal support system according to an embodiment of the present invention. [Diagram 5] 10 is an explanatory diagram illustrating an example of a target means correspondence table held by the service proposal support system according to the embodiment of the present invention. FIG. [Figure 6] 11 is an explanatory diagram illustrating an example of a process-by-process data acquisition target table held by the service proposal support system according to the embodiment of the present invention. FIG. [Figure 7A]11 is a flowchart illustrating an example of a process for displaying a current data acquisition status of a customer in the service proposal support system according to the embodiment of the present invention. [Figure 7B] 11 is a flowchart illustrating an example of a process for displaying a current data acquisition status of a customer in the service proposal support system according to the embodiment of the present invention. [Figure 8] 11 is a flowchart illustrating an example of a process for listening to a field system using the service proposal support system according to an embodiment of the present invention. [Figure 9] 1 is an explanatory diagram illustrating an example of a field system selection table held by the service proposal support system according to an embodiment of the present invention. [Figure 10] 11 is a flowchart illustrating an example of a process in which the service proposal support system according to the embodiment of the present invention displays a current on-site system of a customer. [Figure 11] 11 is a flowchart showing an example of a process for listening to on-site communication means using the service proposal support system according to an embodiment of the present invention. [Figure 12] 11 is an explanatory diagram illustrating an example of a field communication selection table held by the service proposal support system according to the embodiment of the present invention. FIG. [Figure 13] 1 is a flowchart showing an example of a process for listening to a customer's usage method and purpose using the service proposal support system according to an embodiment of the present invention. [Figure 14] 1 is an explanatory diagram illustrating an example of a usage method selection table held by the service proposal support system according to an embodiment of the present invention. [Figure 15] 1 is an explanatory diagram illustrating an example of a data use purpose selection table held by the service proposal support system according to an embodiment of the present invention. [Figure 16] 11 is a flowchart illustrating an example of a process in which the service proposal support system according to the embodiment of the present invention displays a customer's data usage method and usage purpose. [Figure 17] 1 is an explanatory diagram illustrating an example of a target application correspondence table held by the service proposal support system according to an embodiment of the present invention; [Figure 18]11 is a flowchart showing an example of a process for finding out about on-site problems of a customer based on a problem map using the service proposal support system according to an embodiment of the present invention. [Figure 19] FIG. 2 is an explanatory diagram illustrating an example of a problem map displayed by the service proposal support system according to an embodiment of the present invention. [Figure 20] 11 is a flowchart showing an example of a process for confirming a customer's system level and proposing a service using the service proposal support system according to the embodiment of the present invention. [Figure 21] 1 is an explanatory diagram illustrating an example of a proposal table for each system level held by the service proposal support system according to an embodiment of the present invention. FIG. [Figure 22] 1 is an explanatory diagram illustrating an example of a system level correspondence table held by the service proposal support system according to an embodiment of the present invention. [Figure 23] 1 is a flowchart showing an example of a process for proposing a future system configuration of a customer and a service targeted at that system configuration, using the service proposal support system according to an embodiment of the present invention. [Figure 24A] FIG. 2 is an explanatory diagram illustrating an example of a screen displayed by an input / output device of the service proposal support system according to the embodiment of the present invention. [Figure 24B] FIG. 2 is an explanatory diagram illustrating an example of a screen displayed by an input / output device of the service proposal support system according to the embodiment of the present invention. [Figure 25A] FIG. 11 is an explanatory diagram showing another example of the screen displayed by the input / output device of the service proposal support system according to the embodiment of the present invention. [Figure 25B] FIG. 11 is an explanatory diagram showing another example of the screen displayed by the input / output device of the service proposal support system according to the embodiment of the present invention. [Figure 26A] FIG. 1 is an explanatory diagram showing an example of a scenario in which the service proposal support system according to an embodiment of the present invention is used in sales activities; [Figure 26B] FIG. 1 is an explanatory diagram showing an example of a scenario in which the service proposal support system according to an embodiment of the present invention is used in sales activities; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0014] FIG. 1 is a flow chart showing an example of main processing in sales activities using a service proposal support system according to an embodiment of the present invention.

[0015] When the process begins (step 101), a person in charge at the proposing business (hereinafter, the proposing business or the person in charge at the proposing business may be simply referred to as the proposer) listens to the hearing navigation provided by the service proposal support system 200 (see FIG. 2) and asks a person in charge at the customer business (hereinafter, the customer business or the person in charge at the customer business may be simply referred to as the customer) to whom the proposal is to be made about the data preparation status and purpose, and inputs the results into the service proposal support system 200 (step 102).

[0016] Next, the service proposal support system 200 displays the current system configuration and digitization level of the customer based on the input interview results, and asks the customer to confirm the details (step 103).

[0017] Next, the proposer proposes an analysis that can be realized with the current system of the customer (step 104). Furthermore, the proposer presents a system configuration plan for the future customer and confirms it with the customer (step 105). Then, the proposer proposes a system configuration that is insufficient to realize the system configuration plan for the future customer (step 106). The service proposal support system 200 executes the process described below to support the proposals in the above steps 104 to 106.

[0018] If the proposal is accepted, the proposer builds the proposed service (step 107) and ends the process (step 108).

[0019] 4, 7A, 7B, 8, 10, 11, 13, 16, and 18, which will be described later, correspond to the above step 102. The process in FIG. 20, which will be described later, corresponds to the above step 103 and step 104. The process in FIG. 23, which will be described later, corresponds to the above step 105 and step 106.

[0020] FIG. 2 is a block diagram showing an example of the configuration of a service proposal support system 200 according to an embodiment of the present invention.

[0021] The service proposal support system 200 of this embodiment includes an arithmetic device 201, an input / output device 202, a communication device 205, and a storage device 206. The arithmetic device 201 includes, for example, a processor and a semiconductor main storage device such as a dynamic random access memory (DRAM), and executes various processes according to a program 207 stored in the storage device 206. The processing of the service proposal support system 200 described below is realized by the arithmetic device 201 executing the program 207.

[0022] The storage device 206 is configured by a large-capacity auxiliary storage device such as a hard disk drive or a solid state drive, and is used to hold programs and data. For example, the storage device 206 holds a program 207, a target means correspondence table 208, a data acquisition target table for each process 209, a field system selection table 210, a field communication selection table 211, a usage method selection table 212, a data usage purpose selection table 213, a purpose application correspondence table 214, a proposal table for each system level 215, a system level correspondence table 216, a platform table 217, a solution information table 218, a solution introduction case table 219, a customer value structure table 220, and a usage purpose / proposal correspondence table 221. The process executed by the computing device 201 according to the program 207 and the details of each table will be described later.

[0023] The input / output device 202 has an input operation unit 203 and a display unit 204. The input operation unit 203 is a device that receives information input to the service proposal support system 200, and may include, for example, a character input device and a pointing device. The display unit 204 is a device that outputs information processed by the service proposal support system 200, and may include, for example, an image display device.

[0024] The communication device 205 is connected to a communication network (not shown) and can transmit and receive information to and from devices connected to the communication network.

[0025] It should be noted that the computing device 201 may be configured with a single processing unit or multiple processing units and may include single or multiple computing units or multiple processing cores. The computing device 201 may be implemented as one or more central processing units, microprocessors, microcomputers, microcontrollers, digital signal processors, state machines, logic circuits, graphic processing units, systems on a chip, and / or any device that manipulates signals based on control instructions.

[0026] Furthermore, the functions of the service proposal support system 200 can be implemented in a computer system consisting of one or more computers including one or more processors and one or more storage devices including a non-transitory storage medium. When the service proposal support system 200 is implemented in a computer system consisting of multiple computers, the multiple computers communicate with each other via a communication network. For example, some of the multiple functions of the service proposal support system 200 may be implemented in one computer, and the other parts may be implemented in another computer. Furthermore, the input / output device 202 may be a terminal device such as a tablet terminal or a notebook PC (Personal Computer) that communicates with the arithmetic device 201 via a network and a communication device 205.

[0027] FIG. 3 is an explanatory diagram showing an example of a system configuration diagram displayed by the service proposal support system 200 according to the embodiment of the present invention.

[0028] The system configuration diagram 300 is displayed by the display unit 204 of the service proposal support system 200. The proposer presents the system configuration diagram 300 to the customer, listens to the customer's opinions based on the system configuration diagram 300, and inputs the results of the listening to the service proposal support system 200. The service proposal support system 200 changes the system configuration diagram 300 in accordance with the results of the listening. Fig. 3 shows an example of the system configuration diagram 300 in the initial state that is displayed when listening starts.

[0029] The system configuration diagram 300 shown in FIG. 3 includes a field data column 301, an OT (Operational Technology) system column 302, a platform and data analysis infrastructure column 303, a usage method and purpose column 304, a field communication button 305, a system level button 306, and an external communication button 307.

[0030] The on-site data column 301 displays information indicating the means of acquiring data from the site and the acquisition target. This is information indicating the acquisition means and acquisition target of data that can be used in a service that the proposer can propose to the customer (i.e., can provide at the customer's request). For example, authentication (e.g., barcode reading), sensors, cameras, etc. are displayed as acquisition means, and people, objects, facilities, environment, etc. are displayed as acquisition targets. From the acquisition means and acquisition targets displayed here, the acquisition means and acquisition targets held in the customer's current system are selected, as described below.

[0031] The OT system column 302 displays information indicating systems for operation and control of the field. This is information indicating systems that can be supported in services that the proposer can propose to the customer. For example, data collection platforms such as PLCs (Programmable Logic Controllers), business systems such as ERPs (Enterprise Resource Planning), field systems such as schedulers, MESs (Manufacturing Execution Systems), DCSs (Distributed Control Systems), WCSs (Warehouse Control Systems), and WMSs (Warehouse Management Systems) are displayed. From the systems displayed here, a system that corresponds to the customer's current system is selected, as described below.

[0032] The platform and data analysis platform field 303 displays information indicating a platform and a data analysis platform prepared by the proposer for providing services to the customer. In the example of FIG. 3, a platform is displayed in which data taken from the customer's OT system is stored in a data lake, the data analyzed by the data analysis platform is integrated, visualized in a form required by the customer, and provided via a Web server or the like. Also, a data analysis platform is displayed in which data acquired from the data lake is temporarily stored as a data mart, data required for analysis is analyzed in the data mart by an AI (artificial intelligence) application, and the results are returned to the data lake. Also, AI applications (e.g. quality AI, energy saving AI, predictive AI, and productivity AI) available for data analysis may be displayed.

[0033] The usage method and purpose column 304 displays information indicating the method and purpose of the customer's use of the service provided by the proposer to the customer. This is information such as who the specific user of the service is (in other words, who will view the data output by the service), what tools the service will be used through, and for what purpose the service will be used. In the example of FIG. 3, the executives, production engineers, site managers, and workers of the customer company are displayed as specific users of the service, PCs, tablet terminals, smartphones, and electronic bulletin boards are displayed as tools for using the service, and data visualization, data analysis, and integrated management of data at multiple locations are displayed as purposes of using the service.

[0034] The on-site communication button 305 is operated to input information relating to on-site (e.g., in a factory) communications. The system level button 306 is operated to input information relating to the system level. The external communication button 307 is operated to input information relating to communications with the outside. However, the system level button 306 is not displayed in the initial state, and is displayed when a predetermined process described later is completed (see FIG. 16).

[0035] Note that the system configuration diagram 300 in FIG. 3 is just an example, and in reality, a system configuration diagram 300 is displayed according to the contents of the system prepared by the proposer and the contents of the services that can be provided using the system.

[0036] FIG. 4 is a flowchart showing an example of a process for inquiring about the data situation at the site using the service proposal support system 200 according to the embodiment of the present invention.

[0037] The process shown in FIG. 4 corresponds to step 102 in FIG.

[0038] When the process starts, the person in charge at the proposing business decides whether to approach the customer from the site data (step 401). If the approach is to be made from the customer's site data (step 401: YES), the proposer displays the system configuration diagram 300 on the service proposal support system 200 (step 402), presents it to the customer, explains the system configuration diagram 300 (step 403), and asks the customer to specifically decide on the site they want to systematize (step 404).

[0039] In response to this, if the customer specifies a specific site (step 405: YES), the proposer uses the target means correspondence table 208 and the data acquisition target by process table 209 to inquire about the customer's current data acquisition status (step 406). For example, when the proposer clicks on the site data column 301 of the system configuration diagram 300, the service proposal support system 200 may display the target means correspondence table 208 and the data acquisition target by process table 209. These tables will be described later (see Figs. 5 and 6).

[0040] The proposer checks the items in each table for which on-site data has been obtained as a result of the interview in step 406, and saves the results (step 407). After that, the service proposal support system 200 ends the display of the table, and displays the system configuration diagram 300 again (step 408).

[0041] Next, a current data acquisition status display process is executed, which will be described later (see FIGS. 7A and 7B).

[0042] In step 401, if it is determined that the approach is not based on the customer's on-site data (step 401: NO), the proposer causes the service proposal support system 200 to display the problem map (step 409), presents it to the customer, and asks about the on-site problems (step 410). The problem map and the use of it to ask about the on-site problems will be described later (see Figs. 18 and 19). After that, the process proceeds to step 402.

[0043] If the customer does not specify a specific site in response to the request in step 404 (step 405: NO), the proposer explains the case and selects a case that is close to the customer's industry and systemization assumption (step 411). The proposer then prioritizes what the customer wants to achieve and decides on the site to consider (step 412). After that, the process proceeds to step 406.

[0044] FIG. 5 is an explanatory diagram showing an example of the target means correspondence table 208 held by the service proposal support system 200 according to the embodiment of the present invention.

[0045] The target / means correspondence table 208 in FIG. 5 shows an example of information specified based on a combination of a data acquisition target (i.e., a sensing target) and a data acquisition means (i.e., a sensing means). Specifically, the target / means correspondence table 208 includes a plurality of rows each corresponding to a data acquisition means, and a plurality of columns each corresponding to a data acquisition target. In the example of FIG. 5, row 501 corresponds to a sensor, row 502 corresponds to a camera, row 503 corresponds to authentication, and row 504 corresponds to a parameter log. In addition, column 511 corresponds to a person (for example, when the site is a factory, a worker in the factory), column 512 corresponds to an object (for example, a product or its raw materials in the factory), column 513 corresponds to equipment (for example, manufacturing equipment in the factory), and column 514 corresponds to environment / management (for example, a work environment in the factory). Then, the cells corresponding to each row and column hold the items of data acquired by the data acquisition means corresponding to each row from the data acquisition target corresponding to each column.

[0046] For example, if information is obtained from a customer that a camera is installed at the customer company's site to sense the placement and movement of workers, then the following is entered in row 502 and column 511: cell The "placement" and "action" items stored in are checked.

[0047] FIG. 6 is an explanatory diagram showing an example of the process-by-process data acquisition target table 209 held by the service proposal support system 200 according to the embodiment of the present invention.

[0048] The data acquisition target table 209 for each process in FIG. 6 shows an example in which information to be obtained from a customer for each process for each data acquisition target is described. Specifically, the data acquisition target table 209 for each process includes a plurality of rows each corresponding to a data acquisition target and a plurality of columns each corresponding to a process at the customer's site. In the example of FIG. 6, row 601 corresponds to a person, row 602 corresponds to an ID and inspection of an object, row 603 corresponds to logistics management, row 604 corresponds to equipment, and row 605 corresponds to an environment. In addition, column 611 corresponds to a process of receiving raw materials in a factory or the like or a storage object in a warehouse, column 612 corresponds to a process of manufacturing and equipment operation, and column 613 corresponds to a process of quality inspection. Then, the cells corresponding to each row and column hold the items of data acquired by the data acquisition means corresponding to each row in the process corresponding to each column.

[0049] For example, if the operating parameters of the equipment in the manufacturing process at the customer company's site can be obtained as a result of interviewing the customer, the item "operating parameters" stored in the cell in row 604 and column 612 is checked.

[0050] 7A and 7B are flowcharts showing an example of a process in which the service proposal support system 200 according to the embodiment of the present invention displays the current data acquisition status of the customer.

[0051] The service proposal support system 200 corresponds to "person" in the target means correspondence table 208 or the process-specific data acquisition target table 209. column or line If a check is placed (for example, any item in column 511 in FIG. 5 or row 601 in FIG. 6) (step 701: YES), the "People" column in the site data column 301 of the system configuration diagram 300 is highlighted (step 702); if not (step 701: NO), the "People" column is deleted (step 703).

[0052] Next, the service proposal support system 200 selects the item corresponding to “item” in the target means correspondence table 208 or the process-specific data acquisition target table 209. column or line If a check mark is placed in the "item" field of the site data field 301 of the system configuration diagram 300 (for example, column 512 in FIG. 5 or any of the items in row 602 or row 603 in FIG. 6) (step 704: YES), the "item" field in the site data field 301 of the system configuration diagram 300 is highlighted (step 705). If not (step 704: NO), the "item" field is deleted (step 70 6 ).

[0053] Next, the service proposal support system 200 selects the “equipment” corresponding to the target means correspondence table 208 or the process-specific data acquisition target table 209. column or line If a check is placed (for example, any item in column 513 in FIG. 5 or row 604 in FIG. 6) (step 707: YES), the "Equipment" column in the site data section 301 of the system configuration diagram 300 is highlighted (step 708); if not (step 707: NO), the "Equipment" column is deleted (step 709).

[0054] Next, the service proposal support system 200 selects the item corresponding to “environment” in the target means correspondence table 208 or the process-specific data acquisition target table 209. column or line If a check is placed (for example, any item in column 514 in FIG. 5 or row 605 in FIG. 6) (step 710: YES), the “Environment” column in the site data section 301 of the system configuration diagram 300 is highlighted (step 711); if not (step 710: NO), the “Environment” column is deleted (step 712).

[0055] Next, if a check mark is placed in the row corresponding to "sensor" in the target means correspondence table 208 (e.g., any item in row 501 in FIG. 5) (step 713: YES), the service proposal support system 200 highlights the "sensor" column in the site data column 301 of the system configuration diagram 300, and further places a check mark in the "sensor" item in the data acquisition (hardware) column 903 (see FIG. 9, described later) of the site system selection table 210 (step 714). On the other hand, if not (step 713: NO), the service proposal support system 200 deletes the "sensor" column in the site data column 301 (step 715).

[0056] Next, if a check mark is placed in the row corresponding to "camera" in the target means correspondence table 208 (e.g., any item in row 502 in FIG. 5) (step 716: YES), the service proposal support system 200 highlights the "camera" column in the site data column 301 of the system configuration diagram 300, and further places a check mark in the "camera" item in the data acquisition (hardware) column 903 of the site system selection table 210 (step 717). On the other hand, if not (step 716: NO), the service proposal support system 200 deletes the "camera" column in the site data column 301 (step 718).

[0057] Next, if a check mark is placed in the row corresponding to "authentication" in the target means correspondence table 208 (e.g., any item in row 503 in Fig. 5) (step 719: YES), the service proposal support system 200 highlights the "authentication" column in the site data column 301 of the system configuration diagram 300, and further places a check mark in the "authentication" item in the data acquisition (hardware) column 903 of the site system selection table 210 (step 720). On the other hand, if not (step 719: NO), the service proposal support system 200 deletes the "authentication" column in the site data column 301 (step 721).

[0058] Next, if a check mark is placed in the row corresponding to "parameter log" in the target means correspondence table 208 (e.g., any item in row 504 in FIG. 5) (step 722: YES), the service proposal support system 200 highlights the "PLC" column in the OT system column 302 in the system configuration diagram 300, and further checks the "PLC (sequencer)" item in the data acquisition (hardware) column 903 in the field system selection table 210 (step 723). On the other hand, if not (step 722: NO), the service proposal support system 200 deletes the "PLC" column in the OT system column 302 (step 724).

[0059] Next, the service proposal support system 200 displays the system configuration diagram 300 reflecting the above-mentioned highlighting and deletion (step 725).

[0060] Next, a process is performed to listen to the field systems, which is described below (see FIG. 8).

[0061] By changing the display such as highlighting and deleting as described above, only those on-site data acquisition means and acquisition targets that correspond to the client's current system that were initially displayed in system configuration diagram 300 remain, and the rest are deleted. As a result, on-site data column 301 in system configuration diagram 300 corresponds to the client's current system.

[0062] The above highlighting and deletion are examples of methods of changing the display depending on whether or not a check has been made, and other methods may be adopted. For example, the display may not be changed when a check has been made, and the display may be deleted when a check has not been made, or instead of deleting the display when a check has not been made, a so-called gray display may be used. The same applies to changes to other display parts described below.

[0063] FIG. 8 is a flowchart showing an example of a process for listening to a field system using the service proposal support system 200 according to an embodiment of the present invention.

[0064] First, the suggestion source inquires about the current data acquisition status of the customer using the on-site system selection table 210 (step 801). For example, when the suggestion source clicks on the OT system column 302 of the system configuration diagram 300, the service proposal support system 200 may display the on-site system selection table 210. The on-site system selection table 210 will be described later (see FIG. 9).

[0065] As a result of the interview in step 801, the proposer checks the item corresponding to the on-site data acquisition system in the on-site system selection table 210 and saves the result (step 802). After that, the service proposal support system 200 ends the display of the table and displays the system configuration diagram 300 again (step 803).

[0066] Next, a current site system display process is executed, which will be described later (see FIG. 10).

[0067] FIG. 9 is an explanatory diagram showing an example of the on-site system selection table 210 held by the service proposal support system 200 according to the embodiment of the present invention.

[0068] The field system selection table 210 includes an operation / field system column 901 , a data collection unit column 902 , a data acquisition (hardware) column 903 , a data acquisition (software) column 904 , and a data amount column 905 .

[0069] In the business / field system column 901, a plurality of items are held as options for the business system and field system of the customer. In the example of Fig. 9, items such as ERP, scheduler, MES, DCS, WCS, WMS, and others are held. Based on the results of the proposal source hearing from the customer, a check is entered in one or more items that correspond to the customer's current system.

[0070] The data collection unit column 902 holds a plurality of items indicating the data collection unit, in other words, the range of the site for which data is collected. In the example of Fig. 9, items such as "by facility," "by line," "by system," and "other" are held. Based on the results of the proposal source hearing from the customer, a check is entered in the item that corresponds to the data collection unit in the customer's current system.

[0071] The data acquisition (hardware) column 903 holds a number of items indicating the hardware used for data acquisition. In the example of Fig. 9, the items held are sensor, camera, authentication, PLC, and other items. For PLC, an item indicating whether a product of the proposing business is being used may be included. Based on the results of the proposal source hearing from the customer, a check is entered in the item corresponding to the hardware used for data acquisition in the customer's current system.

[0072] The data acquisition (software) column 904 holds a number of items related to software used for data acquisition. In the example of Fig. 9, it includes an item indicating whether or not the acquisition is direct, an item indicating whether or not the acquisition is primary, and an item for inputting the software name. Based on the results of the proposal source's interviews with the customer, a check is entered in the item corresponding to the software used for data acquisition in the customer's current system.

[0073] The data amount column 905 includes items of information on the amount of data to be acquired. In the example of Fig. 9, an item of information indicating the data acquisition cycle and an item of information indicating the data archive period are included. Information on these items is entered based on the results of the proposal source hearing from the customer.

[0074] FIG. 10 is a flowchart showing an example of a process in which the service proposal support system 200 according to the embodiment of the present invention displays the current on-site system of the client.

[0075] When any item in the business / on-site system column 901 of the on-site system selection table 210 is checked (step 1001: YES), the service proposal support system 200 highlights the column with the same name as the checked item among the items included in the system configuration diagram 300 and deletes the rest (step 1002).When no item in the business / on-site system column 901 is checked (step 1001: NO), the service proposal support system 200 deletes the items included in the on-site system and business system in the system configuration diagram (step 1007).

[0076] Next, if the "PLC" item in the data acquisition (hardware) column 903 of the on-site system selection table 210 is checked (step 1003: YES), the service proposal support system 200 highlights the "PLC" column in the system configuration diagram 300 (step 1004); if not (step 1003: NO), the service proposal support system 200 deletes the "PLC" column (step 1005).

[0077] Next, the service proposal support system 200 displays the system configuration diagram 300 reflecting the above-mentioned highlighting and deletion (step 1006).

[0078] Next, a process of listening for on-site communications is performed.

[0079] FIG. 11 is a flowchart showing an example of a process for inquiring about on-site communication means using the service proposal support system 200 according to the embodiment of the present invention.

[0080] First, the suggestion source listens to the current data communication means of the customer using the field communication selection table 211 (step 1101). For example, when the suggestion source clicks the field communication button 305 on the system configuration diagram 300, the service proposal support system 200 may display the field communication selection table 211. The field communication selection table 211 will be described later (see FIG. 12).

[0081] As a result of the interview in step 1101, the proposer checks the item corresponding to the on-site communication means in the on-site communication selection table 211 and saves the result (step 1102). After that, the service proposal support system 200 ends the display of the table and displays the system configuration diagram 300 again (step 1103).

[0082] Furthermore, the service proposal support system 200 changes the display of the on-site communication button 305 on the system configuration diagram 300 to a display with the same name as the item checked in step 1102 (step 1104).

[0083] Next, a process of asking the customer about the method and purpose of use is executed, which will be described later (see FIG. 13).

[0084] FIG. 12 is an explanatory diagram showing an example of the field communication selection table 211 held by the service proposal support system 200 according to the embodiment of the present invention.

[0085] The on-site communication selection table 211 includes a wired communication column 1201, a wireless communication column 1202, and a restriction column 1203. Furthermore, each of the above columns includes a current state column 1211 and a future desired state column 1212.

[0086] A current status column 1211 of the wired communication column 1201 holds a number of items corresponding to on-site wired communication means. In the example of Fig. 12, items such as a dedicated line, a public line, a VPN (virtual private line), and an optical communication line are held. Of these, based on the results of the proposal source hearing from the customer, a check is entered into the item corresponding to the wired communication means currently being used at the customer's site.

[0087] The items held in the future preference column 1212 of the wired communication column 1201 may be the same as those held in the current situation column 1211 of the wired communication column 1201, but items corresponding to wired communication means expected to become available in the future may be added. Of these, based on the results of the proposal source hearing from the customer, a check is entered in the item corresponding to the wired communication means that the customer wishes to use on-site in the future.

[0088] A current status column 1211 of the wireless communication column 1202 holds a number of items corresponding to wireless communication means at the site. In the example of Fig. 12, items such as Bluetooth (registered trademark), Wi-Fi (registered trademark), mobile phone (4G, etc.), transceiver, and others are held. Of these, based on the results of the proposal source hearing from the customer, a check is entered in the item corresponding to the wireless communication means currently being used at the customer's site.

[0089] The items held in the future desired column 1212 of the wireless communication column 1202 may be the same as those held in the current status column 1211 of the wireless communication column 1202, but items corresponding to wireless communication means expected to become available in the future may be added. In the example of FIG. 12, Wi-Fi6, public 5G, local 5G, and LPWA (Low Power Wide Area) are added. Of these, based on the results of the proposal source hearing from the customer, a check is entered in the item corresponding to the wireless communication means that the customer wishes to use on-site in the future.

[0090] Restrictions on communication at the site based on the results of the proposal source hearing from the customer are stored in the restriction column 1203. For example, if wireless communication is not possible in a specific area of ​​the site due to an obstacle, information indicating this may be stored in the restriction column 1203.

[0091] FIG. 13 is a flow chart showing an example of a process for inquiring about a customer's usage method and purpose using the service proposal support system 200 according to the embodiment of the present invention.

[0092] First, the suggestion source uses the usage method selection table 212 to ask the customer how to use the data (step 1301). Next, the suggestion source uses the data use purpose selection table 213 to ask the customer what purpose of data use is (step 1302). For example, when the suggestion source clicks on the usage method / purpose column 304 of the system configuration diagram 300, the service proposal support system 200 may display the usage method selection table 212 and the data use purpose selection table 213. These tables will be described later (see Figs. 14 and 15).

[0093] If one or more checks are entered in the data use purpose selection table 213 in step 1302 (step 1303: YES), the service proposal support system 200 saves the data use purpose selection table 213 including the checks entered (step 1304), terminates the display of the table, and displays the system configuration diagram 300 again (step 1305). In this case, a process for displaying the method of use and the purpose of use is then executed. This process will be described later (see FIG. 16).

[0094] If no checks are entered in the data use purpose selection table 213 in step 1302 (step 1303: NO), the service proposal support system 200 displays the problem map (step 1306). In this case, a process of listening to on-site problems using the problem map is then executed. The problem map and the listening process using it will be described later (see Figs. 18 and 19).

[0095] FIG. 14 is an explanatory diagram showing an example of the use method selection table 212 held by the service proposal support system 200 according to the embodiment of the present invention.

[0096] The use method selection table 212 includes items indicating the use mode for each of the purpose of use (row 1401), user (row 1402), terminal (row 1403), frequency of use (row 1404), and provision mode (row 1405). Furthermore, the use method selection table 212 includes an item indicating a constraint condition for use (row 1406).

[0097] In the example of Fig. 14, items of usage patterns such as visualization and analysis for the purpose of use, executives, production engineers, site managers, workers, and others for the users, PCs, tablet terminals, smartphones, electronic bulletin boards, and others for the terminals, real-time, specified number of times per day, and others for the frequency of use, purchase (on-premise), service, and analysis on the customer side for the form of provision are stored. Furthermore, items of constraints such as use within the company, in-house development, reference to external data, need for connection to overseas bases, and others are stored.

[0098] For example, if the interview in step 1301 reveals that the customer wants data obtained from the field to be analyzed and that the results of that analysis are to be made available to executives of the customer company via a PC about once a month, then checks are entered for the purpose of use, "analysis," for the user, "executive," for the terminal, "PC," and for the frequency of use, "other" (i.e., those items are selected), and further information that about once a month is entered as the frequency of use.

[0099] FIG. 15 is an explanatory diagram showing an example of the data use purpose selection table 213 held by the service proposal support system 200 according to the embodiment of the present invention.

[0100] The data use purpose selection table 213 holds items indicating multiple data use purposes at each stage of a business, from which the customer can select the one they want. As an example, Fig. 15 holds items indicating data use purposes for managing quality, cost, and delivery (delivery date, etc.) at each stage from development to maintenance in the manufacturing industry.

[0101] Specifically, in the example of FIG. 15, the manufacturing stages are classified into planning and management, materials and products, people, and equipment. Then, for each of the development stage (row 1501), planning and management of the manufacturing stage (row 1502), materials and products of the manufacturing stage (row 1503), people of the manufacturing stage (row 1504), equipment of the manufacturing stage (row 1505), and maintenance stage (row 1506), quality control (column 1511), cost management (column 1512), and other management functions are classified into four stages: 2 ) and delivery management (column 151 3 In step 1302, check boxes are entered in the items corresponding to the customer's data use purpose identified based on the results of the interview with the customer (i.e., those items are selected).

[0102] FIG. 16 is a flowchart showing an example of a process in which the service proposal support system 200 according to the embodiment of the present invention displays a customer's data usage method and usage purpose.

[0103] After the process of ascertaining the customer's usage method and purpose (FIG. 13) described above, or the process of ascertaining on-site issues using the issue map described below (FIG. 18) is executed, the process of FIG. 16 is executed.

[0104] First, the service proposal support system 200 highlights the icons of items in the usage method / purpose column 304 of the system configuration diagram 300 that have the same names as items that have been checked in the usage method selection table 212 (step 1601), and deletes the icons of the other items (step 1602).

[0105] Next, the service proposal support system 200 aligns the icons highlighted in step 1601, and appropriately changes the size of the frame of the usage method / purpose column 304 (step 1603).

[0106] Next, the service proposal support system 200 refers to the target application correspondence table 214 and determines the application corresponding to the item checked in the data use purpose selection table 213 from among the AI ​​applications included in the platform data analysis base column 303 of the system configuration diagram 300 (step 1604). The target application correspondence table 214 will be described later (see FIG. 17).

[0107] Next, the service proposal support system 200 highlights the applications determined in step 1604 on the system configuration diagram 300 (step 1605), and deletes the other applications (step 1606).

[0108] Next, the service proposal support system 200 appropriately changes the size of the frame of the AI ​​application group display area in the platform data analysis infrastructure column 303 of the system configuration diagram 300 (step 1607). At this time, for example, if the frame becomes horizontal, the display may be appropriately changed, such as changing the notation of "AI application group" to horizontal writing.

[0109] Next, the service proposal support system 200 matches the number of arrows from the data mart to the AI ​​applications in the platform data analysis infrastructure section 303 of the system configuration diagram 300 with the number of displayed AI applications (step 1608). That is, if an AI application was deleted in step 1606, the corresponding arrow is deleted.

[0110] Next, the service proposal support system 200 displays the system level button 306 on the system configuration diagram 300 (step 1609).

[0111] This completes the process.

[0112] FIG. 17 is an explanatory diagram showing an example of the target application correspondence table 214 held by the service proposal support system 200 according to the embodiment of the present invention.

[0113] The purpose application correspondence table 214 includes information that associates items included in the data usage purpose selection table 213 with AI applications. In the example of FIG. 17, quality-related items in the development and manufacturing stages are associated with a quality AI application. Of the cost-related items and delivery-related items in the development and manufacturing stages, the "energy saving" item is associated with an energy saving AI application, the "failure prediction" item is associated with a predictive AI application, and the other items are associated with a productivity AI application. In addition, quality-related items, cost-related items, and delivery-related items in the maintenance stage are associated with a predictive AI application.

[0114] For example, in step 1302 of FIG. 13, when the item "optimization" corresponding to quality improvement in the development stage is selected from the items in the data use purpose selection table 213, in step 1604 of FIG. 16, the target application correspondence table 214 is referenced and a quality AI application corresponding to the item "optimization" is determined. In this embodiment, the application determined here becomes a candidate solution proposed by the proposer for the customer's problem. If multiple items are selected in step 1302, a corresponding application is determined for each selected item in the same manner as above, and is held as a candidate for the proposed solution.

[0115] FIG. 18 is a flowchart showing an example of a process for obtaining information about on-site problems of a customer based on a problem map using the service proposal support system 200 according to the embodiment of the present invention.

[0116] The process shown in FIG. 18 is executed after step 409 (step 410) of the process of inquiring about the data situation at the site (FIG. 4), and after step 1306 of the process of inquiring about the customer's usage method and purpose (FIG. 13).

[0117] First, the service proposal support system 200 displays the problem map 1900 (step 1801), the proposer explains the displayed problem map 1900 (step 1802), and asks whether there are any items in the problem map 1900 that are similar to the customer's problem (step 1803). The problem map 1900 will be described later (see FIG. 19).

[0118] If, as a result of the interview, there is an item in the issue map 1900 that is similar to the customer's issue or there is an item that interests the customer (step 1804: YES and step 1805: YES), the proposer selects the relevant item and saves it in the service proposal support system 200 (step 1806).

[0119] Next, the suggester checks the items in the data use purpose selection table 213 that correspond to the items selected from the problem map 1900 and saves them (step 1807).

[0120] If the proposer has already explained the system configuration diagram 300 to the customer at this point (step 1808: YES), then the process of displaying the usage method and purpose of use (FIG. 16) is executed. If the system configuration diagram 300 has not been explained (step 1808: NO), then the process of inquiring about the data situation on-site (FIG. 4) from step 402 onward is executed.

[0121] On the other hand, if the customer's problem is still not clear even after the interview (step 1804: YES and step 1805: NO), the proposer explains several cases to the customer, determines the problem to be solved, and stores it in the service proposal support system 200 (step 1809). After that, the process proceeds to step 1807.

[0122] If the customer's problem is known but is not included in the problem map 1900 and there are no other items in which the customer is interested, the customer's problems and interests exceed the scope of support that the service proposal support system 200 can provide, so the use of the service proposal support system 200 is discontinued for activities with that customer (step 1810).

[0123] FIG. 19 is an explanatory diagram showing an example of a problem map 1900 displayed by the service proposal support system 200 according to the embodiment of the present invention.

[0124] The issue map 1900 displays items showing multiple issues at each stage of the business, from which the customer can select issues that he or she recognizes as issues in his or her own business. As an example, Fig. 19 displays items showing issues corresponding to quality, cost, and delivery at each stage from development to maintenance in the manufacturing industry.

[0125] Specifically, in the example of Fig. 19, the manufacturing stage is classified into planning and management and operation, and the operation is further classified into materials, people, and equipment and systems. Then, for each of the development stage, manufacturing stage planning and management, manufacturing stage materials, manufacturing stage people, manufacturing stage equipment and systems, and maintenance stage, one or more items corresponding to quality control, productivity and delivery management, and cost management are displayed. In step 1806 or 1809, a check is entered in the item corresponding to the customer's issue identified based on the results of the interview with the customer.

[0126] Each item of the problem map 1900 may be associated in advance with an item of the data use purpose selection table 213. In this case, when a customer's problem is identified based on the problem map 1900, the corresponding item of the data use purpose selection table 213 is uniquely identified.

[0127] FIG. 20 is a flowchart showing an example of a process for confirming a customer's system level and proposing a service using the service proposal support system 200 according to the embodiment of the present invention.

[0128] First, the proposer operates the system level button 306 on the system configuration diagram 300 to cause the service proposal support system 200 to display the proposal table 215 for each system level (step 2001). The proposal table 215 for each system level will be described later (see FIG. 21).

[0129] Next, the service proposal support system 200 refers to the input value of the data collection unit column 902 of the field system selection table 210 and the system level correspondence table 216 to determine the current system level of the customer, that is, the current digitalization level of the customer's system (step 2002). The system level correspondence table 216 will be described later (see FIG. 22).

[0130] Next, the service proposal support system 200 refers to the input value of the data use purpose selection table 213 and the target application correspondence table 214 to determine an application corresponding to the selected data use purpose (step 2003).

[0131] Next, the service proposal support system 200 refers to the proposal table by system level 215 and highlights the solution described at the intersection of the row corresponding to the application determined in step 2003 and the column corresponding to the system level determined in step 2002 (step 2004).

[0132] Next, the service proposal support system 200 retrieves the solution score from the solution information table 218 for the solution example corresponding to the item selected in the data use purpose selection table 213 (step 2005).

[0133] The solution information table 218 is information that defines a solution score for each item (i.e., system element) included in the system configuration diagram 300. Here, the solution score is a score that indicates whether or not each item is necessary for providing each solution, and may be set to "1" if necessary and "0" if not necessary, for example.

[0134] Furthermore, among the items included in the system configuration diagram 300, the on-site data column 301 may include information corresponding to at least one of the target means correspondence table 208 and the process-specific data acquisition target table 209. For example, for each item corresponding to a pair of a data acquisition target and a data acquisition means in the target means correspondence table 208, a score of "1" may be set if the data of that item is necessary for providing a solution, and a score of "0" may be set otherwise. Alternatively, for each item of data of an acquisition target included in the process-specific data acquisition target table 209, a score of "1" may be set if the data of that item is necessary for providing a solution, and a score of "0" may be set otherwise.

[0135] In addition, since requirements for data to be used, etc. may differ depending on the system level, different values ​​may be set as the solution score for the same data item related to the same solution depending on the system level.

[0136] Next, the service proposal support system 200 retrieves the current data acquisition target of the customer stored in the process-by-process data acquisition target table 209, and sets the customer score based on the retrieved data (step 2006).

[0137] Here, the customer score indicates items such as the purpose of the customer's analysis, the customer's current system, and the customer's current data acquisition target, and for example, the customer score of applicable items is set to "1" and the customer score of inapplicable items is set to "0." For example, among the items included in the process-by-data acquisition target table 209, the customer score of items that are currently acquisition targets as a result of interviewing the customer is set to "1," and the customer score of other items is set to "0."

[0138] Next, the service proposal support system 200 calculates a shortage item score for each element of the system configuration based on the solution score and the customer score at the corresponding system level (step 2007).

[0139] The missing item score is an item that is necessary for providing a solution at the current system level of the client, but is not included in the client's current system or the current data acquisition targets, in other words, an item that is missing in the client's current system for providing a solution at the current system level of the client. Specifically, the missing item score for each item is "1" if the solution score for that item is "1" and the customer score is "0", and is "0" otherwise.

[0140] Next, the service proposal support system 200 calculates a matching score (step 2008).

[0141] The match score is the ratio of the number of items with a solution score of "1" and a missing item score of "0" to the number of items with a solution score of "1" corresponding to the customer's current system level (in other words, the ratio of the number of system elements required for the solution that are included in the customer's current system to the number of system elements required for the solution). A match score of "1" means that the solution can be provided in the customer's current system. Also, even if the match score is smaller than "1", the closer it is to "1", the fewer items need to be added to the customer's system to provide the solution, so it can be said that it is easier to provide the solution. In other words, it is predicted that the higher the match score of a solution, the more likely the customer will accept the service proposal for that solution.

[0142] Next, the service proposal support system 200 displays one or more solutions whose matching scores satisfy a predetermined condition from among the solutions that are in line with the purpose of the analysis (step 2009). For example, only the solution with the highest matching score may be displayed, or one or more solutions whose matching scores are greater than a predetermined standard may be displayed. Here, the purpose of the analysis corresponds to the customer's purpose of using data, and may correspond to an application identified based on the purpose application correspondence table 214, for example.

[0143] The proposer makes a service proposal (hereinafter also referred to as a current system proposal) corresponding to the current system level of the customer in accordance with the use purpose / proposal correspondence table 221 (step 2010).

[0144] FIG. 21 is an explanatory diagram showing an example of the system level proposal table 215 held by the service proposal support system 200 according to the embodiment of the present invention.

[0145] Each row of the system-level proposal table 215 corresponds to an analysis objective. In the example of Fig. 21, row 2101 corresponds to improving product quality, row 2102 corresponds to energy saving, row 2103 corresponds to equipment status maintenance, and row 2104 corresponds to productivity. These correspond to, for example, quality AI, energy saving AI, predictive AI, and productivity AI included in the AI ​​application group. In reality, analysis objectives corresponding to other applications may also be included.

[0146] Each column of the system level proposal table 215 corresponds to a system level (i.e., a digitization level of the system). In the example of Fig. 21, columns 2111 to 2115 correspond to system levels 1 to 5, respectively. Here, system level 2 is a level where the system is more digitalized than system level 1 (i.e., one level higher), system levels 3 and 4 are each successively higher, and system level 5 is the most digitalized (i.e., the highest) level.

[0147] In this example, system level 1 is the level where information within the system is handled in analog form. System level 2 is the level where information within the system is digitized and handled as data. System level 3 is the level where digital data is visualized and presented to managers, etc. System level 4 is the level where recommended operations are identified and presented based on the digital data. System level 5 is the level where system operations are automated based on the digital data.

[0148] The above-mentioned settings of the digitization levels of the system are merely examples, and other levels may be set, such as finer levels, coarser levels, or levels based on different perspectives.

[0149] FIG. 22 is an explanatory diagram showing an example of the system level correspondence table 216 held by the service proposal support system 200 according to the embodiment of the present invention.

[0150] The system level correspondence table 216 includes information that associates the input value of the data collection unit field 902 of the field system selection table 210 with the current system level of the customer. The value is The current system level field 2202 holds the system level when each value is selected.

[0151] In the example of FIG. 22, if no value is selected in the data collection unit field 902, the customer's current system level is determined to be 1. If "by equipment" is selected in the data collection unit field 902 (i.e., a check is entered in that item), the customer's current system level is determined to be 2. If "by line" or "by system (multiple lines)" is selected in the data collection unit field 902, the customer's current system level is determined to be 3.

[0152] FIG. 23 is a flowchart showing an example of a process for proposing a future system configuration of a client and a service targeted at that system configuration, using the service proposal support system 200 according to the embodiment of the present invention.

[0153] First, the service proposal support system 200 receives an input of a value a indicating the degree to which the customer desires a proposal that matches his / her purpose, and calculates an adjustment coefficient b (step 2301). For example, the adjustment coefficient b is calculated so that the adjustment coefficient b becomes larger as the degree to which the customer desires a proposal that matches his / her purpose increases.

[0154] Here, an example of a method for calculating the adjustment coefficient b will be described. For example, the proposer may determine the degree to which the customer desires a proposal that is in line with the customer's objective based on an interview with the customer, and input a value a ranging from a minimum value of 0 to a maximum value of 5 according to the degree to the service proposal support system 200. The service proposal support system 200 may then set the adjustment coefficient b=1+a / 5 for solutions that meet the customer's objective, and set the adjustment coefficient b=1 for other solutions.

[0155] Next, the service proposal support system 200 retrieves the solution scores for all solution cases from the solution information table 218 (step 2302). This process is similar to step 2005 in Fig. 20, except that the solution scores are retrieved for all solutions, not just the solutions selected using the data use purpose selection table 213.

[0156] At this time, the service proposal support system 200 calls up not only the solution score corresponding to the current system level of the client, but also the solution score corresponding to a higher system level (for example, one step higher). The solution score corresponding to the higher system level called up here is used in step 2304, which will be described later.

[0157] Next, the service proposal support system 200 retrieves the current data acquisition target of the customer stored in the process-by-process data acquisition target table 209, and sets the customer score based on the retrieved data (step 2303). This process is the same as step 2006 in FIG. 20.

[0158] Next, the service proposal support system 200 calculates the lacking item score for each element of the system configuration based on the solution score and the customer score at the level above the corresponding system level (step 2304). This process is similar to step 2007 in Fig. 20, except that the lacking item score for each of all solutions is calculated using the solution score corresponding to the system level above the current system level determined in step 2002 in Fig. 20.

[0159] Next, the service proposal support system 200 calculates a matching score (step 2305). Specifically, the service proposal support system 200 calculates a matching score for each of all solutions based on the customer score set in step 2303 and the missing item score for each solution calculated in step 2304, in the same manner as in step 2008 of FIG.

[0160] Next, the service proposal support system 200 calculates new matching scores by multiplying the matching scores by the adjustment coefficient b of each solution (step 2306). Specifically, the service proposal support system 200 calculates new matching scores by multiplying the matching scores calculated for solutions that meet the customer's purpose by the adjustment coefficient b=1+a / 5, and multiplying the matching scores calculated for other solutions by the adjustment coefficient b=1.

[0161] Next, the service proposal support system 200 displays the solutions in descending order of the matching score, and the proposer presents them to the customer (step 2307).

[0162] If information for selecting one of the displayed solutions is entered (step 2308: YES), the service proposal support system 200 displays the system configuration diagram 300 corresponding to the selected solution (step 2309).

[0163] Next, the service proposal support system 200 highlights on the system configuration diagram 300 the data that is currently lacking for applying the selected solution, distinguishing it from the data that is currently being acquired (step 2310).

[0164] The proposer makes a proposal for a future system that includes the displayed solution and a means of acquiring the missing data (step 2311).

[0165] If no information is entered to select any of the solutions displayed in step 2307 (step 2308: NO), the proposal activity ends (step 2312).

[0166] According to the process in Fig. 23, even if a solution does not match the objectives heard from the customer, it can be proposed if it matches the customer's current system closely (i.e., it can be realized with the current system or can be realized by adding relatively few items). Even if such a candidate does not match the objectives clearly recognized by the customer, if there is a potential need, it is considered that it may be accepted by the customer because it requires few additional items to be realized.

[0167] As described above, the process in Fig. 23 can also calculate the matching score based on the solution score at a system level higher than the customer's current system level. This allows solutions that meet the objectives heard from the customer but cannot be realized with the customer's current system to be presented as proposal candidates together with the items that should be added to achieve the objectives. Since such candidates meet the objectives that the customer clearly recognizes, it is believed that even if there are items that are lacking in order to achieve the objectives, the proposals may be accepted if the burden of fulfilling them is tolerable.

[0168] 23, even if a solution does not match the purpose heard from the customer and cannot be realized with the customer's current system, it may be included in the candidates if it has a high matching score. For the same reasons as above, it can be said that such a solution proposal is likely to be accepted by the customer.

[0169] 24A and 24B are diagrams illustrating an example of a screen displayed by the input / output device 202 of the service proposal support system 200 according to the embodiment of the present invention.

[0170] Specifically, FIG. 24A is an example of a screen that displays system level proposal table 215 when the process shown in FIG. 20 is performed, and FIG. 24B is an example of a screen that is displayed when the results of the process shown in FIG. 20 are used to make proposals based on the customer's current system in line with the customer's objectives.

[0171] FIG. 24A shows an example of a screen in which the customer's objective is to improve product quality and the customer's current system level is level 2. In this example, the item "Collect inspection data" corresponding to the intersection of the row in which the objective of analysis is "product quality" and the column in which the system level is "level 2" is highlighted. As a result of performing the process shown in FIG. 20 under these conditions, a quality control analysis service for quality control by a quality AI application is proposed using data acquired in the customer's current system, for example, as shown in FIG. 24B.

[0172] 25A and 25B are diagrams illustrating another example of a screen displayed by the input / output device 202 of the service proposal support system 200 according to the embodiment of the present invention.

[0173] Specifically, FIG. 25A is an example of a screen that displays proposal table 215 by system level when the processing shown in FIG. 23 is performed, and FIG. 25B is an example of a screen that is displayed when the results of the processing shown in FIG. 23 are used to make proposals that take into account services that do not meet the customer's objectives and the customer's future systems.

[0174] FIG. 25A shows an example of a screen in which the customer's objective is to improve product quality and the customer's current system level is Level 2. In this example, the item "Collect inspection data" is highlighted, which corresponds to the intersection of the row where the analysis objective is "product quality" and the column where the system level is "Level 2". Furthermore, in this example, the item "Collect inspection data" is highlighted, which corresponds to the intersection of the row where the analysis objective is "product quality" and the column where the system level is "Level 3", which is one level higher than "Level 2". column The item "Display test data in uniform format" corresponding to the intersection with may be highlighted.

[0175] As a result of performing the process shown in Fig. 23 under these conditions, a quality control analysis service for quality control by a quality AI application is proposed using data acquired in the current customer's system, as shown in Fig. 25B, for example. Furthermore, as a service corresponding to a higher level system, a data integration and visualization system for quality control by a quality AI application is proposed. Furthermore, it is proposed to add a surveillance camera for human work in the assembly process to acquire the necessary data, and to add an interface for acquiring data from the surveillance camera.

[0176] 26A and 26B are explanatory diagrams showing an example of a scenario in which the service proposal support system 200 according to the embodiment of the present invention is used in sales activities.

[0177] In the example of Fig. 26A, the input / output device 202 is a tablet terminal or a notebook PC connected to the arithmetic device 201 via the communication device 205. In this example, a person in charge of the proposal (such as a sales person or a system engineer) holding the input / output device 202 meets the customer face-to-face, listens to information from the customer while showing the screen displayed on the input / output device 202, and inputs the results. Then, when the processing result by the arithmetic device 201 is displayed on the input / output device 202, the person in charge of the proposal proposes a service to the customer based on the results.

[0178] In the example of FIG. 26B, the input / output device 202 is a tablet terminal or a notebook PC connected to the arithmetic device 201 via the communication device 205. In this example, the person in charge of the proposal who holds the input / output device 202 does not meet the customer face-to-face, but meets remotely via the communication device 205. At this time, a screen similar to that displayed on the input / output device 202 may be displayed on the customer's terminal device. The person in charge of the proposal listens to information from the customer while referring to the input / output device 202 and the screen displayed on the customer's terminal device, and inputs the results. Then, when the processing result by the arithmetic device 201 is displayed on the input / output device 202 or the like, the person in charge of the proposal proposes a service to the customer based on the results.

[0179] Furthermore, the system according to the embodiment of the present invention may be configured as follows.

[0180] (1) A service proposal support system (e.g., service proposal support system 200), comprising a calculation device (e.g., calculation device 201) and a storage device (e.g., storage device 206), in which the storage device holds solution information (e.g., solution information table 218) indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating the current system elements of the customer (e.g., information on the customer's system configuration reflecting the results of the interview in step 101, particularly information including at least one of the target means correspondence table 208 and the process-specific data acquisition target table 209 in which a check has been entered). The computing device calculates the degree of match between the system elements required for each of the solutions that the proposer can propose and the current system elements of the customer (e.g., processing up to step 2008 in Figure 20 and processing up to step 2306 in Figure 23), and based on the degree of match, outputs one or more candidate solutions to be proposed to the customer (e.g., steps 2009 and 2307).For at least one of the one or more candidate solutions, if the current system elements of the customer are lacking in relation to the system elements required for the candidate solution, outputs information indicating the missing system elements (e.g., step 2310).

[0181] This makes it possible to support the proposal of services using solutions that are likely to be accepted by the customer, including at least one of solutions that do not match the objectives recognized by the customer and solutions that cannot be realized with the customer's current system.

[0182] (2) In the above (1), the solution is a solution that utilizes data acquired in the customer's business, and the storage device further holds on-site system information (e.g., on-site system selection table 210 into which the interview results are input) indicating the data acquisition status of the current customer's system, and system level information (e.g., system level correspondence table 216) indicating the criteria for determining the system level based on the data acquisition status, and the solution information includes information indicating, for each system level, system elements required for a solution that the proposer can propose to provide a service to the customer, and the computing device determines the current system level of the customer based on the on-site system information and the system level information (e.g., step 2002), calculates the degree of match between the required system elements corresponding to the current system level of the customer and the current system elements of the customer from the solution information (e.g., processing up to step 2008 in Figure 20), and further calculates the degree of match between the required system elements corresponding to a level higher than the current system level of the customer and the current system elements of the customer from the solution information (e.g., processing up to step 2306 in Figure 23).

[0183] This allows solutions that address levels above the customer's current system level to be included as potential proposals.

[0184] (3) In (2) above, the level of a system is the level of digitization of information in the system, and the criteria for determining the level of a system include information that associates the collection unit of digitized data with the level of the system.

[0185] This will help propose appropriate solutions that take into account the customer's system level.

[0186] (4) In the above (1), the solution is a solution that utilizes data acquired in the business of the customer, and the storage device further holds data use purpose information indicating the purpose of use of the data of the customer (e.g., a data use purpose selection table 213 into which the results of the interview have been input) and purpose-solution correspondence information that associates the purpose of use of the data with the solution (e.g., a purpose application correspondence table 214), and the calculation device selects a system necessary for a solution that corresponds to the purpose of use of the data of the customer from among the solutions that the proposer can propose. element A predetermined first weight is applied to the degree of agreement between the current system elements of the customer and the proposed solution (for example, step 2306), and among the solutions that the proposer can propose, a system required for a solution that does not correspond to the purpose of use of the data of the customer is selected. element A predetermined second weight less than the first weight is assigned to the degree of match with the current customer's system elements (e.g., step 2306), and one or more of the solutions with the highest weighted degree of match are output as one or more candidate solutions (e.g., step 2307).

[0187] This can assist in proposing appropriate solutions depending on the degree to which the customer desires a proposal that is compatible with the customer's perceived objectives.

[0188] (5) In (1) above, the solution information includes information indicating the system elements required for the solution, which includes information indicating the necessity of each of a plurality of items corresponding to the data acquisition targets and data acquisition means in the system (e.g., solution scores).

[0189] This allows the degree of match between the system elements required for the solution and the customer's current system elements to be properly calculated.

[0190] (6) In (1) above, the degree of match between the system elements required for the solution and the current system elements of the customer is the ratio of the number of system elements required for the solution that are included in the current customer system to the number of system elements required for the solution (for example, the ratio of the number of items with a solution score of "1" and a missing item score of "0" to the number of items with a solution score of "1").

[0191] This allows the degree of match between the system elements required for the solution and the customer's current system elements to be properly calculated.

[0192] (7) In the above (1), the service proposal support system further includes an input / output device, the solution is a solution that utilizes data acquired in the customer's business, the storage device further holds data utilization purpose information indicating the customer's utilization purpose of the data and purpose-solution correspondence information that corresponds the data utilization purpose and the solution, the computing device displays on the input / output device a system configuration diagram including all solutions that the proposer can propose to provide a service to the customer, system elements required for each solution, and the data utilization purpose corresponding to each solution (e.g., step 402), and when the customer's system elements are input, displays on the input / output device a system configuration diagram in which system elements other than the customer's system elements have been deleted (e.g., step 725), and when the customer's data utilization purpose is input, displays on the input / output device a system configuration diagram in which data utilization purposes other than the customer's data utilization purpose and solutions other than the solution corresponding to the customer's data utilization purpose have been deleted (e.g., the processing of FIG. 16).

[0193] This allows all information about services that can be provided to be displayed to the customer at first, and unnecessary information is deleted based on information obtained from the customer, making it easy to obtain information from the customer.

[0194] The present invention is not limited to the above-mentioned embodiment, and various modifications are included. For example, the above-mentioned embodiment has been described in detail for better understanding of the present invention, and is not necessarily limited to those having all the configurations described. Also, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Also, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

[0195] In addition, the above-mentioned configurations, functions, processing units, processing means, etc. may be realized in part or in whole by hardware, for example, by designing them as integrated circuits. In addition, the above-mentioned configurations, functions, etc. may be realized in software by a processor interpreting and executing a program that realizes each function. Information such as a program, table, file, etc. that realizes each function can be stored in a storage device such as a non-volatile semiconductor memory, a hard disk drive, or an SSD (Solid State Drive), or in a computer-readable non-transitory data storage medium such as an IC card, an SD card, or a DVD.

[0196] In addition, the control lines and information lines are shown as those considered necessary for the explanation, and not all control lines and information lines in the product are shown. In reality, it can be considered that almost all components are connected to each other. [Explanation of symbols]

[0197] 200 Service proposal support system 201 Arithmetic equipment 202 I / O device 203 Input operation section 204 Display section 206 Memory section 207 Program 208 Target Means Correspondence Table 209 Data acquisition table for each process 210 Site System Selection Table 211 Field communication selection table 212 Usage Selection Table 213 Data Use Purpose Selection Table 214 Purpose App Compatible Table 215 System Level Proposal Table 216 System Level Correspondence Table 217 Platform Table 218 Solution Information Table 219 Solution Introduction Case Study Table 220 Customer Value Structure Table 221 Purpose of Use / Suggestion Response Table 300 System Configuration Diagram

Claims

1. A service proposal support system, A computing device and a storage device, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; the solution utilizes data acquired in the business of the customer; The storage device further holds on-site system information indicating a data acquisition status in a current customer's system, and system level information indicating a criterion for determining a system level based on the data acquisition status; The solution information includes information indicating system elements necessary for a solution that can be proposed by a proposer to provide a service to a customer for each level of the system; The computing device includes: determining a current system level of the customer based on the on-site system information and the system level information, calculating a degree of agreement between the necessary system elements corresponding to the current system level of the customer and the current system elements of the customer in the solution information, and further calculating a degree of agreement between the necessary system elements corresponding to a level higher than the current system level of the customer and the current system elements of the customer in the solution information, thereby calculating a degree of agreement between the system elements necessary for the solution and the current system elements of the customer for each of the solutions that can be proposed by the proposer; outputting one or more candidate solutions to be proposed to the customer based on the degree of match; A service proposal support system characterized by outputting information indicating the missing system elements when the customer's current system elements are lacking in relation to the system elements required for at least one of the one or more solution candidates.

2. The service proposal support system according to claim 1, the level of the system is the level of digitization of information in the system; A service proposal support system, wherein the criteria for determining the level of the system include information that associates a collection unit of digitized data with the level of the system.

3. A service proposal support system, comprising: A computing device and a storage device, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The computing device includes: For each of the solutions that the proposer can propose, calculate a degree of agreement between a system element required for the solution and a system element of the current customer; outputting one or more candidate solutions to be proposed to the customer based on the degree of match; For at least one of the one or more solution candidates, if there is a shortage of system elements of the current customer with respect to system elements required for the solution candidate, output information indicating the shortage of the system elements; the solution utilizes data acquired in the business of the customer; The storage device further holds data use purpose information indicating a purpose of use of the data of the customer, and purpose solution correspondence information correlating the purpose of use of the data with the solution, The computing device includes: assigning a predetermined first weight to a degree of agreement between a system element required for the solution corresponding to the purpose of use of the data of the customer, among the solutions that can be proposed by the proposer, and a system element of the current state of the customer; assigning a predetermined second weight equal to or less than the first weight to a degree of agreement between a system element required for the solution that does not correspond to the purpose of use of the data of the customer among the solutions that can be proposed by the proposer and a system element of the current customer; A service proposal support system, characterized in that one or more of the solutions having the highest weighted degree of match are output as candidates for the one or more solutions.

4. A service proposal support system, comprising: A computing device and a storage device, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The computing device includes: For each of the solutions that the proposer can propose, calculate a degree of agreement between a system element required for the solution and a system element of the current customer; outputting one or more candidate solutions to be proposed to the customer based on the degree of match; For at least one of the one or more solution candidates, if there is a shortage of system elements of the current customer with respect to system elements required for the solution candidate, output information indicating the shortage of the system elements; A service proposal support system characterized in that the solution information includes information indicating the system elements required for the solution, the information indicating the necessity of each of a plurality of items corresponding to the data acquisition targets and data acquisition means in the system.

5. A service proposal support system, comprising: A computing device and a storage device, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The computing device includes: For each of the solutions that the proposer can propose, calculate a degree of agreement between a system element required for the solution and a system element of the current customer; outputting one or more candidate solutions to be proposed to the customer based on the degree of match; For at least one of the one or more solution candidates, if there is a shortage of system elements of the current customer with respect to system elements required for the solution candidate, output information indicating the shortage of the system elements; A service proposal support system characterized in that the degree of match between the system elements required for the solution and the current system elements of the customer is the ratio of the number of system elements required for the solution that are included in the current customer's system to the number of system elements required for the solution.

6. A service proposal support system, comprising: A computing device and a storage device, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The computing device includes: For each of the solutions that the proposer can propose, calculate a degree of agreement between a system element required for the solution and a system element of the current customer; outputting one or more candidate solutions to be proposed to the customer based on the degree of match; For at least one of the one or more solution candidates, if there is a shortage of system elements of the current customer with respect to system elements required for the solution candidate, output information indicating the shortage of the system elements; The service proposal support system further includes an input / output device, the solution utilizes data acquired in the business of the customer; The storage device further holds data use purpose information indicating a purpose of use of the data of the customer, and purpose solution correspondence information correlating the purpose of use of the data with the solution, The computing device includes: displaying on the input / output device a system configuration diagram including all solutions that the proposer can propose to provide the service to the customer, system elements required for each of the solutions, and a purpose of use of data corresponding to each of the solutions; When the system elements of the customer are input, the system configuration diagram in which system elements other than the system elements of the customer are deleted is displayed on the input / output device; A service proposal support system characterized in that, when the customer's purpose for using the data is input, the input / output device displays the system configuration diagram in which any purpose for using the data other than the customer's purpose for using the data and any solutions other than the solution corresponding to the customer's purpose for using the data have been deleted.

7. A service proposal support method executed by a computer system, comprising: The computer system includes an arithmetic unit and a storage unit, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The service proposal support method includes: a first step in which the computing device calculates a degree of agreement between a system element required for each of the solutions that the proposer can propose and a system element of the current customer; a second step in which the computing device outputs one or more candidate solutions to be proposed to the customer based on the degree of match; and a third step of the computing device outputting, when a system element of the current customer is insufficient with respect to a system element required for at least one of the one or more solution candidates, information indicating the insufficient system element, the solution utilizes data acquired in the business of the customer; The storage device further holds on-site system information indicating a data acquisition status in a current customer's system, and system level information indicating a criterion for determining a system level based on the data acquisition status; The solution information includes information indicating system elements necessary for a solution that can be proposed by a proposer to provide a service to a customer for each level of the system; In the first step, the arithmetic device determining a level of the current customer's system based on the on-site system information and the system level information; Calculating a degree of agreement between the required system element corresponding to the current system level of the customer among the solution information and the current system element of the customer; The service proposal support method further comprises calculating a degree of agreement between the required system elements corresponding to a level higher than the current system level of the customer among the solution information and the current system elements of the customer.

8. A service proposal support method according to claim 7, comprising: the level of the system is the level of digitization of information in the system; A service proposal support method, wherein the criteria for determining the level of the system include information that associates a collection unit of digitized data with the level of the system.

9. A service proposal support method executed by a computer system, comprising: The computer system includes an arithmetic unit and a storage unit, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The service proposal support method includes: a first step in which the computing device calculates a degree of agreement between a system element required for each of the solutions that the proposer can propose and a system element of the current customer; a second step in which the computing device outputs one or more candidate solutions to be proposed to the customer based on the degree of match; and a third step of the computing device outputting, when there is a shortage of system elements of the current customer with respect to at least any one of the one or more solution candidates, information indicating the shortage of system elements required for the solution candidate, the solution utilizes data acquired in the business of the customer; The storage device further holds data use purpose information indicating a purpose of use of the data of the customer, and purpose solution correspondence information correlating the purpose of use of the data with the solution, In the first step, the arithmetic device assigning a predetermined first weight to a degree of agreement between a system element required for the solution corresponding to the purpose of use of the data of the customer, among the solutions that can be proposed by the proposer, and a system element of the current state of the customer; assigning a predetermined second weight equal to or less than the first weight to a degree of agreement between a system element required for the solution that does not correspond to the purpose of use of the data of the customer among the solutions that can be proposed by the proposer and a system element of the current customer; The service proposal support method, in the second step, wherein the calculation device outputs one or more of the solutions having the highest weighted degree of similarity as candidates for the one or more solutions.

10. A service proposal support method executed by a computer system, comprising: The computer system includes an arithmetic unit and a storage unit, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The service proposal support method includes: a first step in which the computing device calculates a degree of agreement between a system element required for each of the solutions that the proposer can propose and a system element of the current customer; a second step in which the computing device outputs one or more candidate solutions to be proposed to the customer based on the degree of match; and a third step of the computing device outputting, when a system element of the current customer is insufficient with respect to a system element required for at least one of the one or more solution candidates, information indicating the insufficient system element, A service proposal support method characterized in that the solution information includes information indicating the system elements required for the solution, the information indicating the necessity of each of a plurality of items corresponding to data acquisition targets and data acquisition means in the system.

11. A service proposal support method executed by a computer system, comprising: The computer system includes an arithmetic unit and a storage unit, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The service proposal support method includes: a first step in which the computing device calculates a degree of agreement between a system element required for each of the solutions that the proposer can propose and a system element of the current customer; a second step in which the computing device outputs one or more candidate solutions to be proposed to the customer based on the degree of match; and a third step of the computing device outputting, when a system element of the current customer is insufficient with respect to a system element required for at least one of the one or more solution candidates, information indicating the insufficient system element, A service proposal support method, characterized in that the degree of match between the system elements required for the solution and the current system elements of the customer is the ratio of the number of system elements required for the solution that are included in the current customer's system to the number of system elements required for the solution.

12. A service proposal support method executed by a computer system, comprising: The computer system includes an arithmetic unit and a storage unit, The storage device holds solution information indicating system elements necessary for a solution that a proposer can propose to provide a service to a customer, and system configuration information indicating current system elements of the customer; The service proposal support method includes: a first step in which the computing device calculates a degree of agreement between a system element required for each of the solutions that the proposer can propose and a system element of the current customer; a second step in which the computing device outputs one or more candidate solutions to be proposed to the customer based on the degree of match; and a third step of the computing device outputting, when a system element of the current customer is insufficient with respect to a system element required for at least one of the one or more solution candidates, information indicating the insufficient system element, The computer system further comprises an input / output device, the solution utilizes data acquired in the business of the customer; The storage device further holds data use purpose information indicating a purpose of use of the data of the customer, and purpose solution correspondence information correlating the purpose of use of the data with the solution, The service proposal support method includes: a step in which the computing device displays, on the input / output device, a system configuration diagram including all solutions that the proposer can propose to provide the service to the customer, system elements required for each of the solutions, and a purpose of use of data corresponding to each of the solutions; a step of, when the system elements of the customer are input, the arithmetic device causes the input / output device to display the system configuration diagram from which system elements other than the system elements of the customer have been deleted; a step of, when the customer's purpose for using the data is input, the computing device displays on the input / output device the system configuration diagram from which the purposes for using the data other than the customer's purpose for using the data and the solutions other than the solution corresponding to the customer's purpose for using the data have been deleted.

Images