Information processing device, information processing method, and program

Abstract

To provide a technology that improves support for those who provide a product or service to a human in a specific field as a customer.SOLUTION: An actual data acquisition unit 51 acquires actual data indicating actual contents related to at least some of a plurality of humans belonging to a predetermined field. A funnel estimation unit 52 estimates, on the basis of the actual data, each stage of one or more specific humans in the predetermined field, among a plurality of stages from awareness, enjoyment, and use of a product or service, and generates data including the estimation result as funnel data. A sales prediction unit 53 executes, on the basis of the funnel data, predetermined processing related to the product or the service.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] Conventionally, the technology disclosed in Patent Document 1 below has been known as a system for supporting the sales activities of MRs (Medical Representatives) (medical information personnel) who work for pharmaceutical companies and sell and communicate information about their company's pharmaceuticals to medical professionals such as doctors and pharmacists. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2002-56103 A Summary of the Invention [Problem to be solved by the invention]

[0004] In recent years, there has been a demand for better support for those who provide products or services to people in a specific field as customers, such as sales representatives. However, the current situation is such that the above demands cannot be fully met by simply applying conventional techniques including those disclosed in Patent Document 1.

[0005] The present invention has been made in consideration of the above circumstances, and aims to provide a technique that improves support for those who provide products or services to people in a specific field as customers. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to one aspect of the present invention comprises: An information processing device that supports a provider of a product or service to a person belonging to a specific field as a customer, an actual data acquisition means for acquiring actual data indicating actual contents relating to at least a portion of a plurality of people belonging to the predetermined field; a funnel estimation means for estimating, based on the actual data, which of multiple stages from awareness, enjoyment, and use of the product or service each of one or more specific people belonging to the predetermined field is at, and generating data including the estimation results as funnel data; A predetermined process execution means for executing a predetermined process related to the product or service based on the funnel data; Equipped with. An information processing method and a program corresponding to the information processing device according to one aspect of the present invention are also provided as an information processing method and a program according to one aspect of the present invention. Effect of the Invention

[0007] According to the present invention, it is possible to provide a technique for improving support for those who provide products or services to people in a specific field as customers. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a schematic diagram showing an example of an overview of a service provided using an information processing device of the present invention. [Diagram 2] 1 is a block diagram showing a configuration of an information processing system including a server according to an embodiment of the information processing device of the present invention. [Diagram 3] 3 is a block diagram showing an example of a hardware configuration of the server in FIG. 2. [Figure 4] 3 is a functional block diagram showing an example of a functional configuration of the server in FIG. 2. [Diagram 5] FIG. 13 is a diagram showing an example of a change in progress management. [Figure 6] FIG. 13 is a diagram illustrating an example of a definition of a funnel. [Figure 7] FIG. 13 is a diagram showing an example of changes due to integration of user interfaces. [Figure 8]FIG. 13 is a diagram showing an example of predicting a doctor's sales based on funnel data. [Figure 9] FIG. 1 is a diagram showing an example of a PDCA cycle. [Figure 10] FIG. 13 is a diagram showing an example of a change in the setting of an activity goal for an individual doctor. [Figure 11] FIG. 1 is a diagram illustrating an example of a service provision flow and a use case image of an MR representative. [Figure 12] FIG. 13 is a diagram illustrating an example of a use case image (a graph of accumulated gross profit). [Figure 13] FIG. 13 is a diagram showing an example of a use case image (graph of funnel score transition). [Figure 14] FIG. 13 is a diagram illustrating an example of a use case image (graph of monthly gross profit). [Figure 15] FIG. 13 is a diagram showing an example of a use case image (graph of doctor score progress). [Figure 16] FIG. 13 is a diagram showing an example of a use case image (table). DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0010] FIG. 1 is a schematic diagram showing an example of an overview of a service (hereinafter, referred to as the present service) provided using an information processing device of the present invention.

[0011] This service is a service that enables users, such as pharmaceutical companies and medical representatives (MRs) who provide drugs (products) to doctors as customers, to support the MRs.

[0012] More specifically, this service generates doctor funnel data, which serves as an appropriate leading indicator of sales, and performs specified processing regarding the drugs provided to doctors based on the generated funnel data, thereby supporting the actions of medical representatives. "Funnels" and "funnel data" will be discussed later.

[0013] In addition to the above, this service is also ideal for pharmaceutical companies to build an efficient sales system.

[0014] Here, the doctors are people who belong to a specific field, and there is no particular limit to the number of doctors. In this service, the number of doctors ranges from several hundred to several tens of thousands, for example.

[0015] In addition, although not as many as doctors, there will also be a number of medical representatives who will be users of this service. Although not specifically shown in the figure, marketing personnel and sales promotion personnel, for example, may also be users of this service.

[0016] This service is managed by a service provider (not shown) of the service. The service provider of this service operates a physician information system that has many physicians as members and is used by such members. The doctor information system has a function to post useful information for engaging in medical activities as articles and allow members to view them. The doctor information system also has a function to present various surveys and questions to members and accept responses from them.

[0017] The service provider of this service can obtain and manage logs of the members' (doctors') use of the various functions of the doctor information system (activities in the doctor information system) for each member.

[0018] Regarding this service, as shown in step S1 of FIG. 1(a), first, fact-based data collection is performed.

[0019] Specifically, for example, based on the doctor data Fd1 stored in the existing doctor DB71 and information from periodic questionnaires (hereinafter referred to as questionnaire data Fd2), data related to the actions (behavior) of doctors, such as profiles of the number of patients per doctor and prescription records, is collected (acquired) on a "fact" basis.

[0020] The doctor data Fd1 includes site browsing logs related to this service. In addition, the "fact-based data" in the above and in the figure means "data based on facts" and "actual data showing actual content."

[0021] Next, as shown in step S2 of FIG. 1(b), the AI ​​engine (the funnel estimation unit 52 described later) estimates the funnel data, etc.

[0022] Specifically, based on the facts collected in step S1, the AI ​​engine estimates doctor actions such as patient profile and prescription performance for doctors for whom no facts are available, and identifies the funnels of all doctors individually to generate, for example, a list of estimated data (hereinafter referred to as the list of estimated data Fn11, which is information on all doctors individually). It is assumed that the various data in step S2 are stored in the funnel DB 61.

[0023] Next, as shown in step S3 of FIG. 1(c), a sales forecast is made based on the funnel data.

[0024] Specifically, in addition to the data stored in the funnel DB61, the activity and performance data stored in the pharmaceutical company DB81 are also combined to further enhance the estimation. Then, sales are predicted based on the funnels in the list estimation data Fn11, and recommended actions are presented to medical representatives and marketing personnel of pharmaceutical companies.

[0025] This service visualizes sales forecasts and recommended actions, and provides them to pharmaceutical companies, medical representatives, marketing personnel, etc.

[0026] After step S3 is completed, the process returns to step S1 if necessary.

[0027] As explained above with reference to Figure 1, this service makes it possible to present individual information on all doctors (listed estimated data Fn11) generated by collecting facts and making estimates using an AI engine to medical representatives, marketing personnel, etc. Furthermore, by combining data stored in the pharmaceutical company DB81, the estimation can be made more sophisticated and sales forecasts can be made.

[0028] This service identifies doctor funnels based on logs such as questionnaire data Fd2. In doing so, an AI engine is used to estimate the actions of doctors even for those without facts.

[0029] This service has the effect of providing better support to MR personnel, marketing personnel, and the like than ever before.

[0030] Next, an information processing system including a server according to an embodiment of the present invention will be described with reference to FIG. FIG. 2 is a block diagram showing a configuration of an information processing system including a server according to an embodiment of the information processing device of the present invention.

[0031] The information processing system of Figure 2 is configured to include a server 1 managed by a service provider (not shown), a physician information system 2 also managed by the service provider, a pharmaceutical company system 3 managed, for example, by pharmaceutical company M, an MR representative terminal 4 operated, for example, by an MR representative U belonging to pharmaceutical company M, and a marketing representative terminal operated by a marketing representative or the like (not shown).

[0032] The server 1, the doctor information system 2, the pharmaceutical company system 3, the MR representative terminal 4, and the marketing representative terminal etc. are connected to each other so as to be able to communicate with each other via a predetermined network N such as the Internet.

[0033] The form of the network N is not particularly limited, and in addition to the Internet, for example, Bluetooth (registered trademark), Wi-Fi, LAN (Local Area Network), etc. may be adopted.

[0034] The server 1 is an information processing device managed by the service provider of this service. The server 1 executes various processes while appropriately communicating with the doctor information system 2, the pharmaceutical company system 3, and the MR representative terminal 4. Note that there is no particular limitation on the person who performs the work of the service provider.

[0035] The specific contents of the functions that the server 1 has for executing various processes will be described later with reference to FIG.

[0036] The MR representative terminal 4 is an information processing device operated by the MR representative U. Specifically, the MR representative terminal 4 is, for example, a tablet, a smartphone, a notebook personal computer, or the like, and is provided with a display, an input device, and a communication function with the server 1. It is assumed here that the marketing staff terminal (not shown) is the same information processing device as the MR staff terminal 4.

[0037] FIG. 3 is a block diagram showing an example of a hardware configuration of the server of FIG.

[0038] The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an input unit 16, an output unit 17, a memory unit 18, a communication unit 19, and a drive 20.

[0039] The CPU 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 18 into the RAM 13 . The RAM 13 also stores data and the like necessary for the CPU 11 to execute various processes.

[0040] The CPU 11, ROM 12, and RAM 13 are connected to one another via a bus 14. An input / output interface 15 is also connected to this bus 14. An input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0041] The input unit 16 is composed of various hardware buttons and the like, and inputs various information in response to instructions given by an operator. The output unit 17 is configured with a display such as a liquid crystal display, and displays various images.

[0042] The storage unit 18 is configured with a dynamic random access memory (DRAM) or the like, and stores various data. The communication unit 19 controls communication between other devices (eg, the doctor information system 2, the pharmaceutical company system 3, and the MR representative terminal 4 in FIG. 2) via a network NW including the Internet.

[0043] The drive 20 is provided as necessary. Removable media 40, which may be a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is appropriately attached to the drive 20. The program read from the removable media 40 by the drive 20 is installed in the storage unit 18 as necessary. The removable media 40 can also store various data stored in the storage unit 18 in the same manner as the storage unit 18.

[0044] Although not shown, the doctor information system 2, pharmaceutical company system 3, MR representative terminal 4, and marketing representative terminal in Fig. 2 can have a configuration basically similar to the hardware configuration in Fig. 3. Therefore, the configurations of the doctor information system 2, pharmaceutical company system 3, MR representative terminal 4, and marketing representative terminal will not be described.

[0045] 3 in the server 1, various processes described below can be executed in the server 1. As a result, the service provider can provide various services described below to the MR staff U, etc.

[0046] Next, the functional configuration of the server in FIG. 2 will be described with reference to FIG. FIG. 4 is a functional block diagram illustrating an example of a functional configuration of the server of FIG.

[0047] As shown in FIG. 4, in the CPU 11 of the server 1, an actual data acquisition unit 51, a funnel estimation unit 52, a sales forecasting unit 53, and a UI control unit 54 function. In addition, a funnel DB 61 is provided in one area of ​​the storage unit 18 of the server 1.

[0048] The funnel DB 61 stores data relating to funnel definitions for defining funnels for each product (eg, medicine), funnel data including doctor funnels, and the like.

[0049] The funnel DB 61 also stores sales forecast data estimated based on funnel data, sales target data based on the sales forecast data, data related to doctor funnel goals, data related to activity goals, etc.

[0050] Although not particularly limited, an existing doctor DB 71 is provided in one area of ​​the storage unit of the doctor information system 2. Also, a pharmaceutical company DB 81 is provided in one area of ​​the storage unit of the pharmaceutical company system 3.

[0051] The existing doctor DB71 stores attribute data of individual doctors (age, sex, affiliated facility, etc.), questionnaire response data of doctors obtained on the doctor information system 2, information data on drugs of the same company and other companies obtained on the doctor information system 2, other activity data obtained on the doctor information system 2 (data on browsing of news and other content, etc.), drug information data and drug sales data obtained from the pharmaceutical company's medical representative U, etc.

[0052] Meanwhile, the pharmaceutical company DB 81 stores drug information data and drug sales data obtained from the pharmaceutical company's medical representative U, as well as data such as doctors' prescription intentions reported by the medical representative U.

[0053] The actual data acquisition unit 51 in the CPU 11 acquires actual data on doctors stored in the existing doctor DB 71 of the doctor information system 2 and actual data stored in the pharmaceutical company DB 81 of the pharmaceutical company system 3.

[0054] Specifically, for example, the actual data acquisition unit 51 acquires via the communication unit 19 personal doctor attribute data, doctor questionnaire response data, drug information data, and other activity data from the existing doctor DB 71, and drug information data, drug sales data, and doctor prescription intentions, etc. from the pharmaceutical company DB 81.

[0055] The above-mentioned various types of actual data acquired by the actual data acquisition unit 51 are used to estimate doctor funnel data and sales data.

[0056] The actual data acquisition unit 51 acquires data relating to the actions of doctors, such as profiles of the number of patients for each doctor, prescription records, and the like, from the existing doctor DB 71 .

[0057] Based on the actual data acquired by the actual data acquisition unit 51, the funnel estimation unit 52 estimates which of the multiple stages from awareness, receipt, and use of a drug each of the numerous doctors is at, and generates data including the estimation results as funnel data.

[0058] In addition, the funnel estimation unit 52 estimates the actions of doctors, such as profiles of the number of patients, prescription records, etc., even for doctors for whom actual data cannot be obtained, and generates funnel data so that the funnels of all individual doctors can be identified.

[0059] The funnel estimation unit 52 also aims to improve the above estimation by combining data from the existing doctor DB 71 and data from the pharmaceutical company DB.

[0060] The sales forecasting unit 53 executes various predetermined processes, such as forecasting sales based on funnel data, presenting recommended actions (recommended behaviors) to MR personnel U and marketing personnel, visualizing sales forecasts and recommended actions, deriving activity goals, calculating the value per detail, and supporting the PDCA (PDCA: Plan-Do-Check-Act) cycle of the job.

[0061] The UI control unit 54 is involved in the integration of user interfaces (UIs) and controls the user interfaces. In other words, the UI control unit 54 integrates information.

[0062] Next, changes in progress management will be explained with reference to Figure 5. FIG. 5 is a diagram showing an example of a change in progress management.

[0063] As will become clear from the following explanation, this service is a service that allows you to realize the construction of an efficient sales system. In other words, while the progress management P1 up until now has been of the rearview mirror type, this service will enable the future progress management P11 to be of the forecast type. Therefore, this service is a service that allows you to realize the construction of an efficient sales system.

[0064] To further improve the efficiency of the sales system, it is necessary to forecast sales and implement the PDCA cycle at high speed, rather than just looking back at sales as if in a rear-view mirror (the previous progress management P1). If the pharmaceutical industry does not seem to have an appropriate leading indicator for sales, this service can provide doctor funnel data, which is an appropriate leading indicator, and thus speed up the PDCA cycle. The reasons for this are explained below.

[0065] The definition of a funnel will be explained with reference to Figure 6. FIG. 6 is a diagram showing an example of a definition of a funnel.

[0066] Data relating to the definition of the funnel stored in the funnel DB 61 (hereinafter referred to as funnel definition data Fn1) differs for each drug (product). The funnel definition data Fn1 is appropriately defined by this service.

[0067] The funnel definition data Fn1 shown here defines the stages from "awareness" to "prescribing to all subjects" of the drug (defined in multiple stages from awareness, enjoyment, and use). In the example of Figure 6, it is defined in six stages from "0" to "5".

[0068] Next, the changes due to the integration of the user interfaces will be described with reference to FIG. FIG. 7 is a diagram showing an example of changes due to the integration of user interfaces.

[0069] According to the conventional database-based information management P2, the activity information P2a is scattered, and there is a problem that it is difficult to obtain continuous details for individual doctors.

[0070] In contrast, in the information management P12 of this service, the UI control unit 54 integrates the user interface, and as a result, the activity information P12a including data other than the funnel data can be centrally consolidated. This means that the MR staff U only needs to look at the activity information P12a, for example.

[0071] The integrated user interface also makes it possible to display recommended actions, enabling doctors to provide continuous information.

[0072] In this way, this service makes it possible to display data from other channels along with funnel data for each doctor.

[0073] In order to make it easier to take action, recommended actions, alerts, etc. may be displayed.

[0074] Next, the image of the sales simulation will be explained with reference to Figure 8. FIG. 8 is a diagram showing an example of predicting a doctor's sales based on funnel data.

[0075] In the sales simulation page 13, funnels for funnel data are shown. Also, for each funnel, the corresponding number of doctors (X is an integer value) is shown. Based on such a sales simulation P13, the funnel estimation unit 52 performs a trial calculation P13a of the impact of the measures and a simulation P13b of sales after X months.

[0076] The policy impact estimate P13a assumes an impact of X million yen if the stage is raised, for example, as shown in the figure (the impact is estimated by converting the change in prescription ratio into the number of prescriptions, taking into account the potential of each doctor).

[0077] The sales simulation P13b from X months later predicts sales from the current stage from X months later (the number of prescriptions for each stage is calculated from the potential and prescription ratio for each doctor at each stage, and these are added together to predict sales).

[0078] Therefore, according to this service, it is possible to predict the sales of a doctor based on the funnel data. The ability to predict sales based on the funnel data of a doctor is a unique feature of this service.

[0079] Next, we will explain the PDCA cycle used in this service with reference to Figure 9. FIG. 9 is a diagram showing an example of the PDCA cycle.

[0080] In the Plan of the PDCA cycle shown in step S11, the sales forecasting unit 53 sets a sales target, a doctor funnel target, an activity target, and the like. This makes it possible to integrate various data and specify the actions required for each doctor on a daily / weekly basis, for example, in order to achieve results.

[0081] In the Do step of the PDCA cycle shown in step S12, the above-mentioned embodied action is carried out between the MR person in charge U and the doctor D (here, the symbol D is used to collectively refer to doctors).

[0082] In the Check of the PDCA cycle shown in step S13, a sales simulation linked to the action progress on a daily / weekly basis can be confirmed by the function of the sales forecasting unit 53. In addition, surpluses and deficiencies of MR personnel U, marketing personnel, etc. can also be grasped.

[0083] For example, among the doctors DA to DD, the difference between the target activity amount and the actual activity amount of the doctor DA is confirmed, and if this difference is negative, an alert can be issued to the doctor DA that follow-up is necessary.

[0084] In the Act of the PDCA cycle shown in step S14, the MR person in charge U immediately takes action to the doctor D in response to the above-mentioned surplus or deficiency.

[0085] With this service, you can check whether your actions are sufficient or insufficient while looking at the simulated sales figures, allowing you to take action immediately.

[0086] Next, changes in the setting of activity goals for individual doctors will be described with reference to FIG. FIG. 10 is a diagram showing an example of changes in the setting of activity goals for individual doctors.

[0087] In the conventional database-based activity goal setting P3, the desired level for, for example, Doctor DA or DD was not known, and the overall activity goal was set in that state. Therefore, individuality was not taken into consideration, and there was a surplus or deficiency between the desired level and the actual performance.

[0088] In contrast, this service's activity goal setting (p. 14) allows you to set the ideal level for each doctor derived from the sales forecast as the activity goal, and track the achievement rate (number of doctors who meet the standard / number of target doctors).

[0089] With this service, by using appropriate leading indicators, it is possible to derive the appropriate level for each doctor and manage progress, thereby enabling a more accurate understanding of the status of activities.

[0090] Next, we will explain the service provision flow and the use case image for MR representatives with reference to Figure 11. FIG. 11 is a diagram illustrating an example of a service provision flow and a use case image of an MR representative.

[0091] In the service provision flow, first, in step S21, the situation of all target doctors is grasped. Next, in step S22, requirements for improving the doctor funnel are identified. Next, in step S23, an expected impact simulation is performed.

[0092] With this type of service provision flow, use case P15 is presented to MR representative U, who can make decisions such as, for example, "Let's prioritize doctors who will have a high impact," or "Let's approach each doctor through a channel that suits their preferences, with content that suits their stage." In other words, it will become possible to make decisions other than "Let's go see the doctor we can for now" or "Let's just do as we're told by headquarters."

[0093] With this service, by utilizing funnel data and sales forecast data, it becomes possible to convert the actions of MR representatives U into more precise impact-based actions.

[0094] Next, with reference to Figures 12 to 16, we will explain a use case in which summary data of funnel data and sales forecast data is visualized on the system. FIG. 12 is a diagram illustrating an example of a use case image (a graph of accumulated gross profit). FIG. 13 is a diagram showing an example of a use case image (a graph showing a transition of a funnel score). FIG. 14 is a diagram showing an example of a use case image (graph of monthly gross profit). FIG. 15 is a diagram showing an example of a use case image (graph of doctor score progress). FIG. 16 is a diagram showing an example of a use case image (table).

[0095] With this service, it becomes possible to visualize, for example, cumulative gross profit, funnel score transition, monthly gross profit, and doctor score progress, as shown in the graphs in Figures 12 to 15. It is also possible to visualize these in a table, as shown in Figure 16.

[0096] As explained above with reference to Figure 12, with this service, the actual data acquisition unit 51, funnel estimation unit 52, and sales forecasting unit 53 function, making it possible to present individual information on all doctors to medical representatives U, marketing personnel, etc.

[0097] In addition, this service can also perform sales forecasts by combining data stored in the pharmaceutical company DB 81 to improve the estimation.

[0098] Furthermore, according to this service, the funnel estimation unit 52 functions to make it possible to estimate the actions of doctors even for whom there are no facts.

[0099] By utilizing this service, medical representatives and marketing personnel can grasp the funnel for each doctor, thereby providing information efficiently and effectively.

[0100] As shown in Figure 5, "Future Progress Management" P11, this service makes it possible to make progress management a forecast type, thereby enabling the creation of an efficient sales system.

[0101] Specifically, in the Plan phase of the PDCA cycle, you can set a target that will be a leading indicator of sales, and therefore set the necessary amount of action. Then, in the Check phase of the PDCA cycle after completing the Do phase, you can review the results based on the sales simulation that is updated based on the actual results of your actions. Also, you can leverage low-level activities by comparing targets.

[0102] This service makes it possible to keep this PDCA cycle going, thereby enabling the creation of an efficient sales system. As shown in Figure 5, MR representative U can make decisions such as "Activity B has not achieved its target, so let's focus on Region A, which has particular problems," and can also evaluate the current progress based on sales forecasts.

[0103] Therefore, as described above, this service can provide the effect of providing better support to MR personnel U, marketing personnel, etc. than ever before.

[0104] Although the embodiment of the present invention has been described above, the present invention is not limited to the above embodiment. Furthermore, the effects described in the present embodiment are merely a list of the most preferable effects resulting from the present invention, and the effects of the present invention are not limited to those described in the present embodiment.

[0105] In the above embodiment, the sales forecasting unit 53 executes various predetermined processes such as, but not limited to, predicting sales based on funnel data, presenting recommended actions (recommended behaviors) to MR personnel U and marketing personnel, visualizing sales forecasts and recommended actions, deriving activity goals, calculating value per detail, and supporting the PDCA (PDCA: Plan-Do-Check-Act) cycle of work.

[0106] Although not described in the above embodiment, promotional services for doctors may also be implemented through this service.

[0107] For example, the above series of processes can be executed by hardware or software. In other words, the functional configuration shown in FIG. 4 is merely an example, and is not particularly limited to only the functional configuration in FIG. That is, it is sufficient to have a function capable of executing the above series of processes as a whole, and the type of functional block used to realize this function is not limited to the examples in Figures 1 to 16. The locations of the functional blocks are also not limited to those in Figures 1 to 16 and may be arbitrary. For example, the functional blocks and database of the server 1 may be transferred to the doctor information system 2, the MR staff terminal 4, etc. Conversely, the functional blocks and database of the doctor information system 2, the MR staff terminal 4, etc. may be transferred to the server, etc. Furthermore, each functional block and database may be configured as a single piece of hardware, a single piece of software, or a combination of both.

[0108] When the series of processes is executed by software, the program constituting the software is installed into a computer or the like from a network or a recording medium. The computer may be a computer implemented with dedicated hardware. Furthermore, the computer may be a computer capable of executing various functions by installing various programs thereon, such as a server, a general-purpose smartphone, or a personal computer.

[0109] A recording medium containing such a program may be composed not only of a removable medium (not shown) that is distributed separately from the device main body in order to provide the program to a user, etc., but also of a recording medium that is provided to a user, etc. in a state where it is pre-installed in the device main body.

[0110] In this specification, the steps of describing a program to be recorded on a recording medium include not only processes that are performed chronologically according to the order, but also processes that are not necessarily performed chronologically but are executed in parallel or individually. In addition, in this specification, the term "system" refers to an overall device that is composed of a plurality of devices, a plurality of means, etc.

[0111] In other words, it is sufficient for an information processing device to which the present invention is applied to have the following configuration, and various embodiments can be adopted. That is, the information processing device to which the present invention is applied is In an information processing device (such as the server 1 in FIG. 2 ) that supports a provider of a product (such as a drug described in the funnel definition data Fn1 in FIG. 6 ) or a service (such as a medical representative U in FIG. 9 ) to a person in a specific field (such as a doctor D in FIG. 9 ) as a customer, An actual data acquisition means (e.g., the actual data acquisition unit 51 in FIG. 4 ) for acquiring actual data (e.g., the actual data stored in the existing doctor DB 71 in FIG. 4 ) showing actual contents related to at least a part of the plurality of people belonging to the predetermined field; a funnel estimation means (e.g., funnel estimation unit 52 in FIG. 4, etc.) for estimating, based on the actual data, which of multiple stages (e.g., multiple stages shown by funnel definition data Fn1 in FIG. 6) each of one or more specific people belonging to the predetermined field is at from awareness, enjoyment, to use of the product or service, and generating data including the estimation result as funnel data (e.g., funnel data of sales simulation P13 in FIG. 8, etc.); A predetermined process execution unit (e.g., the sales forecast unit 53 in FIG. 4, etc.) that executes a predetermined process (e.g., the sales simulation P13 in FIG. 8, etc.) related to the product or service based on the funnel data; Equipped with. According to the present invention, a predetermined process for a product or service can be executed based on the funnel data. This allows for better support to be provided to those who provide products or services to people in a particular field as customers.

[0112] In the information processing device (for example, the server 1 in FIG. 2 ), The predetermined process execution means performs, as the predetermined process, a forecast of sales of the product or service (for example, the sales forecast shown in FIG. 16). According to the present invention, sales forecasts for products or services can be performed based on funnel data.

[0113] In the information processing device (for example, the server 1 in FIG. 2 ), The specified processing execution means further executes, as the specified processing, a process for supporting the provider of the product or service in the PDCA of the job related to the product or service (for example, the PDCA shown in the future progress management P11 in Figure 5) based on the sales forecast of the product or service. According to the present invention, it is possible to support the PDCA of duties related to products or services based on sales forecasts.

[0114] In the information processing device (for example, the server 1 in FIG. 2 ), The person belonging to the specified field is a doctor, The goods or services are drugs prescribed by the physician to the patient. According to the present invention, a predetermined process related to medicines can be executed based on the doctor's funnel data. [Explanation of symbols]

[0115] Reference Signs List 1 server, 2 doctor information system, 3 pharmaceutical company system, 4 medical representative terminal, 11 CPU, 18 memory unit, 19 communication unit, 51 actual data acquisition unit, 52 funnel estimation unit, 53 sales forecast unit, 54 UI control unit, 61 funnel DB, 71 existing doctor DB, 81 pharmaceutical company DB

Claims

1. An information processing device that supports a provider of a product or service to a person belonging to a specific field as a customer, an actual data acquisition means for acquiring actual data indicating actual contents relating to at least a portion of a plurality of people belonging to the predetermined field; a funnel estimation means for estimating, based on the actual data, which of multiple stages from awareness, enjoyment, and use of the product or service each of one or more specific people belonging to the predetermined field is at, and generating data including the estimation results as funnel data; A predetermined process execution means for executing a predetermined process related to the product or service based on the funnel data; An information processing device comprising:

2. The predetermined process execution means predicts sales of the product or service as the predetermined process. The information processing device according to claim 1 .

3. The predetermined processing execution means further executes, as the predetermined processing, a process for supporting a PDCA of a job related to the product or service for the provider of the product or service based on the sales forecast of the product or service. The information processing device according to claim 2 .

4. The person belonging to the specified field is a doctor, the goods or services are medicines prescribed by the physician to the patient; The information processing device according to claim 1 .

5. An information processing method executed by an information processing device that supports a provider of a product or service to a person belonging to a specific field as a customer, comprising: an actual data acquisition step of acquiring actual data indicating actual contents related to at least a part of a plurality of people belonging to the predetermined field; a funnel estimation step of estimating, based on the actual data, which of multiple stages from awareness, enjoyment, and use of the product or service each of one or more specific people belonging to the predetermined field is at, and generating data including the estimation result as funnel data; a predetermined processing execution step of executing a predetermined processing related to the product or service based on the funnel data; An information processing method comprising:

6. A computer that supports a provider of goods or services to persons belonging to a specific field as customers, an actual data acquisition step of acquiring actual data indicating actual contents related to at least a part of a plurality of people belonging to the predetermined field; a funnel estimation step of estimating, based on the actual data, which of multiple stages from awareness, enjoyment, and use of the product or service each of one or more specific people belonging to the predetermined field is at, and generating data including the estimation result as funnel data; a predetermined processing execution step of executing a predetermined processing related to the product or service based on the funnel data; A program that executes control processing including:

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