Solution Proposal Support Method and Solution Proposal Support System

Abstract

To provide a solution proposal support method and a solution proposal support system for proposing solution means that a customer is likely to consider introduction on the basis of an introduction state or the like of the solution means.SOLUTION: In a solution proposal support system, a solution proposal support server 101 includes a problem and solution information table 2058 for holding problem solution information for associating a plurality of problems with a plurality of solutions to solve each of the plurality of problems and introduction result information showing the introduction result of each solution, a similarity calculation program 2051 for calculating similarity between a retrieval keyword and the problems included in the problem and solution information table, a problem importance calculation program 2054 for calculating the importance of the problems, a solution introduction result calculation program 2055 for calculating indexes of solution introduction results, and a problem solution result calculation program 2056 for calculating problem solution results.SELECTED DRAWING: Figure 7

Description

Technical Field

[0001] The present invention relates to a technology for assisting in proposing solutions to problems.

Background Art

[0002] As a technology for assisting in proposing appropriate solutions to new problems, for example, there is the technology described in Japanese Patent Application Laid-Open No. 2021-93140 (Patent Document 1). Patent Document 1 describes that "the proposed method for solutions uses a classification model that has been learned with teacher data in which problem tags corresponding to each of a plurality of past problems are classified into a plurality of categories according to their mutual relevance to estimate the category into which a new problem is classified, searches for past problems similar to the new problem within the estimated category, and outputs the solutions associated with the searched similar past problems. Each past problem is input into any problem item within at least one hierarchical data. Each problem tag is determined based on information input into an item that has a parent-child relationship with the problem item into which each past problem is input, within each past problem and the hierarchical data."

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] According to the technology described in the above Patent Document 1, in a scenario where an attempt is made to propose a means for solving a problem that a customer has, a solution is proposed based on the similarity of the problems. However, since the introduction status of the solution and the introduction effect of the solution are not considered, there is a possibility that a solution that is likely to be an object for the customer to consider introducing may not be proposed.

Means for Solving the Problems

[0005] To solve at least one of the above problems, a typical example of the invention disclosed in the present application is a solution proposal support method executed by a computer system, where the computer system includes a processor and a storage unit, and the storage unit stores problem-solution information that associates a plurality of problems with a plurality of solutions for solving each of the plurality of problems, and introduction result information indicating the introduction results of the respective solutions. The introduction result information includes information indicating solutions that have been introduced in the target customers for solution proposals. The solution proposal support method includes: a first step in which the processor calculates the importance of the problem based on the ratio of the solutions that have been introduced in the target customers among the plurality of solutions corresponding to the problem; and a second step in which the processor calculates an index of the problem-solving effect of the solution based on the importance and outputs the result. Note that in the first step, the processor calculates the importance such that the higher the proportion of the solutions already introduced to the target customer among the plurality of solutions corresponding to the problem, the higher the importance It is characterized by this.

Effect of the Invention

[0006] According to one aspect of the present invention, it is possible to propose a solution that is likely to be a target for a customer to consider introducing based on the introduction status of the solution means and the like. Problems, configurations, and effects other than those described above will be clarified by the description of the following embodiments.

Brief Description of the Drawings

[0007]

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Modes for Carrying Out the Invention

[0008] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0009] FIG. 1 is a block diagram showing an example of the configuration of a solution proposal support system according to an embodiment of the present invention.

[0010] The solution proposal support system 100 of this embodiment is composed of a solution proposal support server 101, a terminal 102, and a communication network 103 that mediates communication between them. The terminal 102 is a computer system such as a PC (Personal Computer), a tablet terminal, or a smartphone used by a salesperson. The salesperson inputs information about the customer's issues heard from the customer and the like into the terminal 102. The terminal 102 transmits the input information to the solution proposal support server 101. Based on the information received from the terminal 102, the solution proposal support server 101 performs the processes described later and transmits information about the solution method (solution) for the issues to be proposed to the customer to the terminal 102. The salesperson can make a proposal to the customer based on the information received by the terminal 102.

[0011] FIG. 2 is a block diagram showing an example of the hardware configuration of a solution proposal support system according to an embodiment of the present invention.

[0012] The solution proposal support server 101 is realized, for example, by a computer having an input unit 201, a CPU (Central Processing Unit) 202, a display unit 203, a communication unit 204, and a storage unit 205. The input unit 201 is a device that receives input of information from a user of the solution proposal support server 101 and may include at least any one of, for example, a keyboard, a mouse, and a touch panel.

[0013] The CPU 202 is a processor that executes various processes according to the programs stored in the storage unit 205. In the following description, the processes executed by the solution proposal support server 101 are actually executed by the CPU 202 according to the programs stored in the storage unit 205. The display unit 203 is a device for outputting information to the user, and may be, for example, an image display device. The communication unit 204 is connected to the communication network 103 and executes communication with other devices (for example, the terminal 102 or the business information management server 104 described later).

[0014] The storage unit 205 is a storage device that stores programs executed by the CPU 202, information referred to in the processes executed by the CPU 202, and information generated as a result of the processes, and the like. The storage unit 205 may include, for example, a main storage device such as a DRAM (Dynamic Random Access Memory) and an auxiliary storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).

[0015] In the storage unit 205 of the present embodiment, as programs, a similarity calculation program 2051, a search range specification program 2052, a business information acquisition program 2053, an issue importance calculation program 2054, a solution introduction result calculation program 2055, and an issue solution effect calculation program 2056 are stored. In the storage unit 205 of the present embodiment, as information to be referred to, a business information table 2057 and an issue / solution information table 2058 are stored. Details of these will be described later.

[0016] The terminal 102 is realized by, for example, a computer having a communication unit 206, an input unit 207, a CPU 208, a display unit 209, and a storage unit 210. The communication unit 206 is connected to the communication network 103 and executes communication with the solution proposal support server 101 and the like. The input unit 207 is a device that receives input of information from a user of the terminal 102 (for example, a salesperson who conducts sales activities for customers), and may include at least any one of, for example, a keyboard, a mouse, and a touch panel.

[0017] The CPU 208 is a processor that executes various processes according to the programs stored in the storage unit 210. In the following description, the processes executed by the terminal 102 are actually executed by the CPU 208 according to the programs stored in the storage unit 210. The display unit 209 is a device for outputting information to the user, and may be, for example, an image display device.

[0018] The sales information management server 104 is connected to the communication network 103 and is a server that manages information related to past sales activities. Although omitted in FIG. 2, the sales information management server 104 may be realized by a computer having a hardware configuration similar to that of the solution proposal support server 101, for example. The sales information management server 104 manages, as information related to past sales activities, for example, the results of interviews with customers, the content of solutions proposed to customers accordingly, and information such as the results of those proposals.

[0019] FIG. 3 is an explanatory diagram showing an example of the problem - solution data 301 having a tree structure held by the solution proposal support system according to an embodiment of the present invention.

[0020] The problem - solution data 301 having a tree structure shown in FIG. 3 is an example of the information included in the problem - solution information table 2058 shown in FIG. 2. The problem - solution data 301 having a tree structure includes a work area 3011, a top - level problem 3012, sub - problems 3013, and solutions 3014. The work area 3011 is an area such as the operations that a customer undertakes to conduct business, and may correspond to, for example, a business process.

[0021] The top - level problem 3012 is a problem corresponding to the work area 3011. A plurality of problems may be associated with one work area, or the same problem may be associated with different work areas. The sub - problems 3013 are problems that embody the top - level problem, and for example, one top - level problem may be subdivided into a plurality of sub - problems. The solutions 3014 are solution methods corresponding to the sub - problems.

[0022] In the example of FIG. 3, "Operation & Operation", "Maintenance", and "Planning" are retained as the engagement areas 3011. These respectively correspond to, for example, the business processes in the customer's business. As the top-level issues 3012 corresponding to the engagement area "Operation & Operation", "Respond quickly to equipment troubles" and "Improve the efficiency of technology transfer" are retained. As the top-level issues 3012 corresponding to the engagement area "Maintenance", "Respond quickly to equipment troubles", "Improve the efficiency of technology transfer", and "Automation of operation and maintenance" are retained. As the top-level issue 3012 corresponding to the engagement area "Planning", "Troubles due to equipment aging" is retained.

[0023] As the sub-issues 3013 corresponding to the top-level issue "Respond quickly to equipment troubles", "Signs of trouble are unknown", "Measures to troubles are unknown", and "Difficult to change the plan during trouble response" are retained, and as the solutions 3014 corresponding to the respective sub-issues, "Abnormality detection system", "Trouble response work instruction system", and "Trouble immediate production planning system" are retained.

[0024] The above example assumes that there is an issue of wanting to "respond quickly to equipment troubles" as an issue that can exist in both "Operation & Operation" and "Maintenance" among the customer's business processes, that the specific issues obtained by subdividing that issue are "Signs of trouble are unknown", "Measures to troubles are unknown", and "Difficult to change the plan during trouble response", that it is assumed to propose a solution of "Abnormality detection system" for the issue of "Signs of trouble are unknown", that it is assumed to propose a solution of "Trouble response work instruction system" for the issue of "Measures to troubles are unknown", and that it is assumed to propose a solution of "Trouble immediate production planning system" for the issue of "Difficult to change the plan during trouble response".

[0025] Similarly, the example in FIG. 3 assumes that there is an issue of "improving the efficiency of technology transfer" as another issue that can exist in both "operation and operation" and "maintenance" of the customer's business process. As specific issues obtained by subdividing this issue, there are assumed issues of "technology and know-how existing only in individuals" and "it takes time to acquire technology and know-how". For the issue of "technology and know-how existing only in individuals", it is assumed that a solution called "expert know-how analysis system" will be proposed. For the issue of "it takes time to acquire technology and know-how", it is assumed that a solution called "work instruction system" will be proposed. This is shown.

[0026] The example in FIG. 3 further assumes that there is an issue of "operation and maintenance automation" as an issue that can exist in "maintenance" of the customer's business process. As a specific issue obtained by subdividing this issue, there is an assumed issue that "operation and maintenance know-how is personalized", and for this, it is assumed that a solution called "work log digitization system" will be proposed. This is shown.

[0027] The example in FIG. 3 further assumes that there is an issue of wanting to prevent "troubles due to equipment aging" as an issue that can exist in "planning" of the customer's business process. As a specific issue obtained by subdividing this issue, there is an assumed issue of "it takes time for equipment inspection", and for this, it is assumed that a solution called "inspection device" will be proposed. This is shown.

[0028] The problem - solution data 301 in the tree structure shown in FIG. 3 is an example of information that associates a customer's business with the problems assumed in each business and the solutions to be proposed for the problems. Such information may be prepared in advance based on, for example, knowledge obtained from past sales activities. For example, problem - solution data 301 in the tree structure may be prepared for each customer, but generally, since it is considered that the content of the business and the corresponding problems are similar in the same or similar industries, problem - solution data 301 in the tree structure may be prepared for each industry.

[0029] Also, in the above example, a two - layer tree - structured problem is shown where one or more sub - problems are associated with one top - level problem. However, for example, the problem may have a hierarchical structure of three or more levels, such as including further subdivided sub - problems.

[0030] FIG. 4 is an explanatory diagram showing an example of the introduction result data 401 of the solutions held by the solution proposal support system according to an embodiment of the present invention.

[0031] The introduction result data 401 of the solutions shown in FIG. 4 is an example of the information included in the sales information table 2057 shown in FIG. 2. The introduction result data 401 of the solutions includes a solution 4011, sales from introduction 4012, introduced company name 4013, and number of high - evaluation times 4014.

[0032] The solution 4011 is information (e.g., the name of the solution) for identifying the solutions proposed to customers in the past. The sales from introduction 4012 indicates the magnitude of the customer's sales (e.g., average value) obtained by actually introducing the proposed solution. The introduced company name 4013 is information (e.g., company name) for identifying the customers who have actually introduced the proposed solution. The number of high - evaluation times 4014 indicates the number of times a high evaluation has been obtained from customers or salespersons as a result of actually introducing the proposed solution. These information may be generated based on the information on past sales activities managed by the sales information management server 104.

[0033] FIG. 5 is an explanatory diagram showing an example of an input screen output by the solution proposal support system according to an embodiment of the present invention.

[0034] The problem / solution search UI (User Interface) unit 501 shown in FIG. 5 is, for example, an input screen displayed by the display unit 209 of the terminal 102. The problem / solution search UI unit 501 includes a search keyword input unit 502, a search execution button 503, and an index input unit 504. For example, a salesperson inputs a keyword that is considered appropriate for searching for a customer's problems and solutions thereto based on the interview results from the customer into the search keyword input unit 502 and operates the search execution button 503. At this time, the salesperson may operate the index input unit 504 to select an index to be emphasized during the search.

[0035] The terminal 102 transmits a search query including the input search keyword and the selected index to the solution proposal support server 101. The solution proposal support server 101 executes the search and transmits the result to the terminal 102. The terminal 102 displays the search result. Details of these processes will be described later with reference to FIGS. 7 to 13. Also, an example of the display of the search result will be described later with reference to FIG. 6.

[0036] FIG. 6 is an explanatory diagram showing an example of a display screen output by the solution proposal support system according to an embodiment of the present invention.

[0037] The result reference UI unit 601 shown in FIG. 6 is, for example, a display screen output by the display unit 209 of the terminal 102. On the result reference UI unit 601, top-level problems, sub-problems, and solutions obtained by searching the problem / solution information table 2058 and the sales information table 2057 using the search query are displayed. Also, an index of similarity for the top-level problems, an index of importance for the sub-problems, and an index of introduction results for the solutions are displayed together, respectively. Specific examples of the search result and the values of the indexes will be described later.

[0038] FIG. 7 is an explanatory diagram showing an example of the overall process executed by the solution proposal support system according to an embodiment of the present invention.

[0039] First, a user 701 (for example, a salesperson who is about to propose a solution to a customer) inputs search information into the terminal 102 based on the interview results from the customer. The input search information may include, for example, search keywords corresponding to the customer's issues and indicators that the customer values, as described with reference to FIG. 5. The terminal 102 receives the input of information from the user 701 according to the issue / solution search program 2101, generates a search query 702, and transmits it to the solution proposal support server 101.

[0040] The solution proposal support server 101 calculates the similarity between the search keywords included in the search query 702 and the issues included in the issue / solution information table 2058 according to the similarity calculation program 2051. Details of this process will be described later with reference to FIG. 8. Next, the solution proposal support server 101 specifies the search range according to the search range specification program 2052. Details of this process will be described later with reference to FIG. 9.

[0041] Next, the solution proposal support server 101 acquires business information from the business information management server 104 according to the business information acquisition program 2053. As a result, a business information table 2057 is generated. Next, the solution proposal support server 101 calculates the importance of the issues included in the issue / solution information table 2058 according to the issue importance calculation program 2054. Details of this process will be described later with reference to FIG. 10.

[0042] Next, the solution proposal support server 101 calculates an index of the solution introduction result according to the solution introduction result calculation program 2055. Details of this process will be described later with reference to FIG. 11. Next, the solution proposal support server 101 calculates the problem-solving effect due to the solution introduction according to the problem-solving effect calculation program 2056, and transmits the extracted problems and the corresponding solutions 703 to the terminal 102.

[0043] The terminal 102 displays the problems received from the solution proposal support server 101 and the corresponding solutions 703. FIG. 6 is an example of the screen displayed thereby.

[0044] FIG. 8 is a flowchart showing an example of the process executed by the solution proposal support server 101 according to the similarity calculation program 2051 according to an embodiment of the present invention.

[0045] First, the solution proposal support server 101 acquires the problem keywords included in the search query 702 (step S801). The keywords acquired here are keywords indicating the problems that the target customer, which is the customer targeted by the salesperson in sales activities (hereinafter also referred to as the target customer), wants to address, and are input based on the content heard from the target customer.

[0046] Next, the solution proposal support server 101 decomposes the input problem keywords, the upper-level problems included in the problem-solution information table 2058, and the sub-problems corresponding to each upper-level problem word by word (step S802). Next, the solution proposal support server 101 calculates the similarity between the problem keywords and the upper-level problems using a similarity calculation formula based on the decomposed words (step S803). Any method, such as a known method, can be used as the similarity calculation method used here.

[0047] For example, when the problem keyword "equipment trouble / maintenance measures" is acquired, the solution proposal support server 101 decomposes the problem keyword into words. Further, the solution proposal support server 101 decomposes the upper-level problem "respond quickly to equipment trouble" and the corresponding sub-problems "do not know the signs of trouble", "do not know the countermeasure method for trouble", and "difficult to change the plan during trouble response" into words. Then, the solution proposal support server 101 calculates the similarity between the problem keyword "equipment trouble / maintenance measures" and the upper-level problem "respond quickly to equipment trouble" by applying those words to the similarity calculation formula. By performing the same calculation for other upper-level problems and their corresponding sub-problems, the similarity between the problem keyword "equipment trouble / maintenance measures" and each upper-level problem is calculated.

[0048] As the similarity calculation formula, for example, the formula (1) for calculating the Jaccard coefficient may be adopted. In this example, the ratio of the number of words included in both sets to the number of words included in at least one of the set of words included in the problem keyword and the set of words included in the upper-level problem and its sub-problems below is calculated as the similarity.

[0049] [Number]

[0050] FIG. 9 is a flowchart showing an example of the process executed by the solution proposal support server 101 according to the search range specifying program 2052 according to an embodiment of the present invention.

[0051] First, the solution proposal support server 101 acquires the problem similarity calculated according to the similarity calculation program 2051 (step S901). Next, the solution proposal support server 101 specifies the work area to which the upper-level problem with the highest problem similarity belongs as the search range (step S902).

[0052] For example, among the similarities between the problem keyword "equipment trouble / maintenance measures" and each upper-level problem, if the similarity with the upper-level problem "respond quickly to equipment trouble" is the highest, the business areas "operation / operation" and "maintenance" to which the upper-level problem "respond quickly to equipment trouble" belongs are specified as the search range. As a result, as will be described below, it is possible to prevent the true problem from being excluded from the processing target. That is, in reality, there may be a case where the problem that the customer wants to solve is different from the true problem that must be solved for that purpose. For example, the customer wants to solve the problem of "changing the plan when dealing with equipment trouble" belonging to the business areas "operation / operation" and "maintenance", but in reality, due to the personalization of the know-how of veteran maintenance workers, the true problem is that there is a lot of equipment downtime. In such a case, by including the problem "personalization of operation and maintenance know-how" belonging to the business area "maintenance" in the search range, it is possible to include the solution corresponding to the true problem in the processing target.

[0053] FIG. 10 is a flowchart showing an example of the processing executed by the solution proposal support server 101 according to the problem importance calculation program 2054 according to an embodiment of the present invention.

[0054] First, the solution proposal support server 101 calculates the number of sub-problems for which solutions have already been introduced to the target customers among the sub-problems of each upper-level problem specified according to the similarity calculation program 2051 (step S1001). Next, the solution proposal support server 101 calculates, as the importance, the ratio of the number of sub-problems for which solutions have already been introduced to the target customers to the number of sub-problems corresponding to each upper-level problem (step S1002). For example, the importance W may be calculated by the following formula (2).

[0055]

Equation

[0056] For example, among the solutions corresponding to the sub-issues of the top-level issue "Respond quickly to equipment troubles" belonging to the work area "Operation and operation" specified as the search range, the solution "Abnormality detection system" corresponding to the sub-issue "Don't know the signs of trouble" and the solution "Trouble immediate production planning system" corresponding to the sub-issue "Difficult to change the plan during trouble response" have already been introduced. When the solution "Trouble response work instruction system" corresponding to the sub-issue "Don't know the countermeasure method for troubles" has not been introduced yet, the ratio of the number of sub-issues for which solutions have already been introduced is 2 / 3 ≈ 0.7.

[0057] On the other hand, among the solutions corresponding to the sub-issues of the top-level issue "Improve the efficiency of technology transfer" belonging to the work area "Operation and operation" specified as the search range, the solution "Veteran know-how analysis system" corresponding to the sub-issue "Technology and know-how are only with individuals" has already been introduced. When the solution "Work instruction system" corresponding to the sub-issue "Takes time to acquire technology and know-how" has not been introduced yet, the ratio of the number of sub-issues for which solutions have already been introduced is 1 / 2 = 0.5.

[0058] According to the above processing, the ratio of the number of sub-issues for which solutions have already been introduced to the target customers to the number of sub-issues corresponding to the top-level issue is calculated as the importance. This is because the larger the ratio, the more the target customer values the top-level issue. If there are sub-issues for which solutions have not been introduced, it is considered that the solutions are highly important to the target customer.

[0059] However, if all the solutions corresponding to all the sub-issues under the top-level issue have already been introduced, the importance level becomes the maximum (1.0). In this case, since there are no remaining solutions that can be proposed, the solutions corresponding to such issues are excluded from the proposals to customers, for example, by excluding them from the calculation of the solution's effect. The specific method of exclusion is arbitrary. For example, when all the solutions corresponding to all the sub-issues under the top-level issue have already been introduced, exception handling may be performed so that the importance level is calculated to be sufficiently low. Alternatively, even for top-level issues within the specified search range, if all the solutions corresponding to all the sub-issues under them have already been introduced, they may be excluded from the calculation of the issue importance level.

[0060] FIG. 11 is a flowchart showing an example of the processing executed by the solution proposal support server 101 according to the solution introduction result calculation program 2055 according to an embodiment of the present invention.

[0061] First, the solution proposal support server 101 acquires the solution introduction result data 401 from the sales information table 2057 (step S1101). Next, the solution proposal support server 101 calculates an index of the solution introduction result using a calculation formula for calculating the index of the solution introduction result (step S1102).

[0062] The index of the solution introduction result can be calculated based on at least any one of the sales due to introduction, the number of companies that introduced the solution, and the number of high evaluations obtained from the solution introduction result data 401. For example, when based on the sales due to introduction, it may be calculated by the following formula (3). Thus, the number obtained by dividing the sales due to the introduction of the solution by companies of a scale similar to the target customers by the number of companies that introduced the solution is calculated as the index R of the solution introduction result.

[0063]

Equation

[0064] Alternatively, the number of companies introduced or the number of high evaluations may be used as the index R of the solution introduction result. However, in any of the above cases, the value of R is normalized as shown in, for example, the following formula (4).

[0065]

Number

[0066] FIG. 12 is a flowchart showing an example of the processing executed by the solution proposal support server 101 according to an embodiment of the present invention in accordance with the problem-solving effect calculation program 2056.

[0067] First, the solution proposal support server 101 acquires the similarity of the problem calculated according to the similarity calculation program 2051, the importance of the problem calculated according to the problem importance calculation program 2054, and the value of the index of the solution introduction result calculated according to the solution introduction result calculation program 2055 (step S1201). Next, the solution proposal support server 101 calculates the problem-solving effect by introducing the acquired solution using a calculation formula for calculating the problem-solving effect (step S1202).

[0068] As the calculation formula for calculating the problem-solving effect, for example, the following formula (5) may be used. Thereby, the total value of the similarity of the problem, the importance of the problem, and the index of the solution introduction result is calculated as the problem-solving effect.

[0069]

Number

[0070] Next, the solution proposal support server 101 determines whether there is a solution that addresses the issues below the work area specified as the search range and for which the solution effect has not yet been calculated (step S1203). If there is a solution for which the solution effect has not yet been calculated, the process returns to step S1202. If there is no solution for which the solution effect has not yet been calculated, the process ends.

[0071] FIG. 13 is a flowchart showing an example of the process executed by the solution proposal support server 101 according to the solution effect calculation program 2056 according to an embodiment of the present invention.

[0072] Specifically, FIG. 13 shows an example of the process executed in step S1202 of FIG. 12. First, the solution proposal support server 101 acquires the indicators that the user values (step S1301). For example, the indicators selected via the indicator input unit 504 of the issue / solution search UI unit 501 are acquired. Next, the solution proposal support server 101 selects a calculation formula for calculating the solution effect according to the indicators that the user values, and calculates the solution effect using the selected calculation formula (step S1302).

[0073] Here, for example, the following formula (6) may be used as the calculation formula for calculating the solution effect. As a result, the total value obtained by weighting each of the issue similarity, issue importance, and the indicator of the solution introduction result is calculated as the solution effect.

[0074]

Equation

[0075] The weight Sa of the issue similarity, the weight Sb of the issue importance, and the weight Sc of the indicator of the solution introduction result can be changed according to which indicator the user values. For example, the weight of the indicator that the user values may be made the largest, and the weights of the other indicators may be made smaller.

[0076] Specifically, for example, when the user emphasizes the similarity of the problems, Sa = 0.5, Sb = 0.25, and Sc = 0.25; when the user emphasizes the importance of the problems, Sa = 0.25, Sb = 0.5, and Sc = 0.25; and when the user emphasizes the index of the introduction result of the solution, Sa = 0.25, Sb = 0.25, and Sc = 0.5 may be used. Accordingly, when the index that the user emphasizes is known, an appropriate solution can be proposed according to the index.

[0077] Also, the system according to the embodiment of the present invention may be configured as follows.

[0078] (1) A solution proposal support method executed by a computer system, the computer system having a processor (for example, CPU 202) and a storage unit (for example, storage unit 205), the storage unit storing problem-solution information (for example, problem-solution information table 2058) that associates a plurality of problems with a plurality of solutions for solving each of the plurality of problems, and introduction result information (for example, sales information table 2057) indicating the introduction result of each solution, the introduction result information including information indicating solutions that have been introduced in the target customer for solution proposal, the solution proposal support method including a first step in which the processor calculates the importance of a problem based on the ratio of solutions that have been introduced in the target customer among a plurality of solutions corresponding to the problem (for example, processing based on the problem importance calculation program 2054 in FIG. 7), and a second step in which the processor calculates an index of the problem-solving effect of the solution based on the importance and outputs the result (for example, processing based on the solution effect calculation program 2056 in FIG. 7).

[0079] Accordingly, based on the introduction status of the solution means, it is possible to propose a solution means that is likely to be a target for the customer to consider for introduction.

[0080] (2) The solution proposal support method according to (1) above, wherein in the first step, the processor calculates the importance such that, among a plurality of solutions corresponding to a problem, the higher the ratio of the solutions already introduced in the target customer, the higher the importance.

[0081] Accordingly, based on the introduction status of the solution means, it is possible to propose a solution means that is likely to be a target for the customer to consider introducing.

[0082] (3) The solution proposal support method according to (2) above, wherein in the second step, when all the solutions corresponding to a problem have been introduced in the target customer, the processor excludes the solutions corresponding to the problem from the target of calculating the index of the problem-solving effect by the solution.

[0083] Accordingly, based on the introduction status of the solution means, it is possible to propose a solution means that is likely to be a target for the customer to consider introducing.

[0084] (4) The solution proposal support method according to (2) above, wherein in the problem solution information, a plurality of problems include a plurality of upper-level problems (for example, upper-level problem 3012) and one or more sub-problems (for example, sub-problem 3013) corresponding to each upper-level problem, and each sub-problem and each solution are associated with each other.

[0085] Accordingly, based on the introduction status of the solution means, it is possible to propose a solution means that is likely to be a target for the customer to consider introducing.

[0086] (5) The solution proposal support method according to (1) above, wherein the introduction result information includes information indicating the introduction results of solutions for a plurality of customers, and the solution proposal support method further includes a third step in which a processor calculates the similarity between the input keyword and the problem (for example, processing based on the similarity calculation program 2051 in FIG. 7), and a fourth step in which a processor calculates an index of the introduction result of the solution (for example, processing based on the solution introduction result calculation program 2055 in FIG. 7). In the second step, the processor calculates an index of the problem-solving effect of the solution based on the similarity, the importance, and the index of the introduction result of the solution.

[0087] Accordingly, based on the introduction status of the solution means and the similarity of the problems, it is possible to propose a solution means that is likely to be a target for a customer to consider introduction.

[0088] (6) The solution proposal support method according to (5) above, wherein the problem solution information includes information associating a plurality of operations (for example, the work area 3011) with a plurality of problems, and the processor further includes a fifth step of identifying an operation corresponding to the problem with the highest similarity among the plurality of problems, and identifying all the problems and solutions corresponding to the identified operation as a search range (for example, processing based on the search range identification program 2052 in FIG. 7). The processor executes the first step and the fourth step for the problems and solutions within the search range identified by the fifth step.

[0089] Accordingly, based on the introduction status of the solution means and the similarity of the problems, it is possible to propose a solution means that is likely to be a target for a customer to consider introduction.

[0090] (7) The solution proposal support method according to (5) above, wherein the introduction result information includes at least any one of information indicating sales generated by introducing the solution (for example, sales due to introduction: 4012), information indicating the business operator who introduced the solution (for example, company name already introduced: 4013), and information indicating the evaluation given to the solution by the business operator who introduced the solution or the salesperson who proposed the solution to the business operator (for example, number of high evaluations: 4014). In the fourth step, the processor calculates an index of the introduction result of the solution indicating at least any one of the magnitude of sales generated by introducing the solution, the number of business operators who introduced the solution, and the height of the evaluation given to the solution.

[0091] Accordingly, based on the introduction status of the solution means and the similarity of the problems, it is possible to propose a solution means that is likely to be a target for the customer to consider for introduction.

[0092] (8) The solution proposal support method according to (5) above, wherein in the second step, the processor calculates an index of the problem-solving effect of the solution such that the higher at least any one of the similarity, the importance, and the index of the introduction result of the solution, the higher the problem-solving effect of the solution (for example, calculation based on formula (5)).

[0093] Accordingly, based on the introduction status of the solution means and the similarity of the problems, it is possible to propose a solution means that is likely to be a target for the customer to consider for introduction.

[0094] (9) The solution proposal support method according to (8) above, wherein in the second step, when information specifying an index to be emphasized among the similarity, the importance, and the index of the introduction result of the solution is input, the processor calculates an index of the problem-solving effect of the solution by performing weighted calculation with a weight value larger than that of the other indexes assigned to the specified index (for example, calculation based on formula (6)).

[0095] Accordingly, it is possible to propose a solution that is likely to be a target for a customer to consider introduction based on the introduction status of the solution, the similarity of the problems, and the criteria that the customer values.

[0096] Note that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail for better understanding of the present invention, and are not necessarily limited to those having all the configurations of the description. Also, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Also, for a part of the configuration of each embodiment, it is possible to add, delete, or replace other configurations.

[0097] In addition, each of the above configurations, functions, processing units, processing means, etc. may be realized in hardware by designing a part or all of them, for example, by using an integrated circuit. Also, each of the above configurations, functions, etc. may be realized in software by a processor interpreting and executing a program for realizing each function. Information such as a program, a table, and a file for realizing each function can be stored in a storage device such as a non-volatile semiconductor memory, a hard disk drive, an SSD (Solid State Drive), or a computer-readable non-transitory data storage medium such as an IC card, an SD card, or a DVD.

[0098] Also, the control lines and information lines show those considered necessary for explanation, and not necessarily all the control lines and information lines are shown on the product. In fact, it may be considered that almost all the configurations are interconnected.

Explanation of Reference Numerals

[0099] 100 Solution Proposal Support System 101 Solution Proposal Support Server 102 Terminal 103 Communication Network 104 Sales Information Management Server Input units 201 and 207 CPUs 202 and 208 Display units 203 and 209 Communication units 204 and 206 Memory units 205 and 210

Claims

1. A solution proposal support method executed by a computer system, wherein the computer system includes a processor and a storage unit, the storage unit holds problem-solution information associating a plurality of problems with a plurality of solutions for solving each of the plurality of problems, and introduction result information indicating the introduction results of the respective solutions, the introduction result information includes information indicating solutions that have been introduced in the target customer for whom the solution is proposed, the solution proposal support method includes a first step in which the processor calculates the importance of the problem based on the number of solutions that have been introduced in the target customer among the plurality of solutions corresponding to the problem; and a second step in which the processor calculates an index of the problem-solving effect of the solution based on the importance and outputs the result, In the first step, the processor calculates the importance such that the higher the proportion of the solutions that have been introduced in the target customer among the plurality of solutions corresponding to the problem, the higher the importance. A solution proposal support method characterized by this.

2. The solution proposal support method according to Claim 1, wherein in the second step, when all of the solutions corresponding to the problem have been introduced in the target customer, the processor excludes the solutions corresponding to the problem from the targets for calculating the index of the problem-solving effect of the solution. A solution proposal support method characterized by this.

3. The solution proposal support method according to Claim 1, wherein in the problem-solution information, the plurality of problems include a plurality of upper-level problems and one or more sub-problems corresponding to each of the upper-level problems, and each of the sub-problems is associated with each of the solutions. A solution proposal support method characterized by this.

4. A solution proposal support method executed by a computer system, wherein the computer system includes a processor and a storage unit, the storage unit holds problem-solution information associating a plurality of problems with a plurality of solutions for solving each of the plurality of problems, and introduction result information indicating the introduction results of the respective solutions, The introduction result information includes information indicating solutions that have been introduced to the target customers for whom the solution proposal is made. The solution proposal support method is a first step in which the processor calculates the importance of the problem based on the number of solutions that have been introduced to the target customer among the plurality of solutions corresponding to the problem; a second step in which the processor calculates an index of the problem-solving effect of the solution based on the importance and outputs the result, and the introduction result information further includes information indicating the introduction results of the solution for a plurality of customers. The solution proposal support method is a third step in which the processor calculates the similarity between the input keyword and the problem; a fourth step in which the processor calculates an index of the introduction result of the solution, and In the second step, the processor calculates an index of the problem-solving effect of the solution based on the similarity, the importance, and the index of the introduction result of the solution. A solution proposal support method characterized by this.

5. The solution proposal support method according to claim 4, wherein the problem solution information includes information associating a plurality of operations with the plurality of problems, further including a fifth step in which the processor identifies the operation corresponding to the problem having the highest similarity among the plurality of problems and designates all the problems and solutions corresponding to the identified operation as the search range; The solution proposal support method is characterized in that the processor executes the first step and the fourth step for the problems and solutions within the search range specified by the fifth step.

6. The solution proposal support method according to claim 4, wherein the introduction result information includes at least any one of information indicating sales generated by introducing the solution, information indicating the business operator who introduced the solution, and information indicating the evaluation given to the solution by the business operator who introduced the solution or the salesperson who proposed the solution to the business operator. In the fourth procedure, the processor calculates an index of the introduction result of the solution, which indicates at least one of the magnitude of sales generated by introducing the solution, the number of operators who have introduced the solution, and the high level of evaluation given to the solution. A solution proposal support method characterized by the above.

7. A solution proposal support method according to claim 4, In the second procedure, the processor calculates an index of the problem-solving effect of the solution such that the higher at least one of the similarity, the importance, and the index of the introduction result of the solution, the higher the problem-solving effect of the solution. A solution proposal support method characterized by the above.

8. A solution proposal support method according to claim 7, In the second procedure, when information designating an index to be emphasized among the similarity, the importance, and the index of the introduction result of the solution is input, the processor performs weighted calculation by assigning a weight value larger than other indexes to the designated index, thereby calculating an index of the problem-solving effect of the solution. A solution proposal support method characterized by the above.

9. A solution proposal support system, Having a processor and a storage unit, The storage unit holds problem-solution information that associates a plurality of problems with a plurality of solutions for solving each of the plurality of problems, and introduction result information indicating the introduction results of the respective solutions. The introduction result information includes information indicating solutions that have been introduced in the target customer for whom the solution proposal is made. The processor, Based on the number of solutions that have been introduced in the target customer among the plurality of solutions corresponding to the problem, calculates the importance of the problem such that the higher the ratio of the solutions that have been introduced in the target customer, the higher the importance, Based on the importance, calculates an index of the problem-solving effect of the solution and outputs the result. A solution proposal support system characterized by the above.

10. A solution proposal support system, Having a processor and a storage unit, The memory unit holds problem-solution information that associates a plurality of problems with a plurality of solutions for solving each of the plurality of problems, and introduction result information indicating the introduction results of the respective solutions. The introduction result information includes information indicating solutions that have been introduced to target customers for solution proposals, and information indicating the introduction results of the solutions among a plurality of customers. The processor a first procedure for calculating the importance of the problem based on the number of solutions that have been introduced to the target customer among the plurality of solutions corresponding to the problem; a second procedure for calculating an index of the problem-solving effect of the solution based on the importance and outputting the result; a third procedure for calculating the similarity between the input keyword and the problem; a fourth procedure for calculating an index of the introduction result of the solution, and executes In the second procedure, an index of the problem-solving effect of the solution is calculated based on the similarity, the importance, and the index of the introduction result of the solution. A solution proposal support system characterized by this.

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