JP7658750B2 - Product proposal system, product proposal device and product proposal method - Google Patents

Description

The present invention relates to a product proposal system, a product proposal device, and a product proposal method.

In the above technical fields, Patent Document 1 discloses a technology in which data on the size and shape of a user's body measured using a tights-shaped size measuring device is sent from a user terminal to a management server, and the management server provides the user with information on apparel products that fit the user's body size, etc. (paragraphs [0022] to [0084] of the same document, etc.). Patent Document 2 discloses a system for selecting a stylist who will select products based on the user's preference information and the stylist's return rate in a subscription service, in order to provide the user with only products that suit their own preferences. It also discloses calculating the return rate of a stylist under each condition, and highly evaluating stylists with low return rates (paragraphs [0015] to [0019] of the same document, etc.).

JP 2018-141717 A JP 2019-95897 A

However, while the technology described in Patent Document 1 above can suggest products that fit the user's body shape, it cannot suggest products that match the user's usage conditions other than body shape. Furthermore, while the technology described in Patent Document 2 above can have stylists with a low return rate select products, it cannot suggest appropriate products because it does not take into account the user's usage conditions, etc.

In order to achieve the above object, the product recommendation system according to the present invention comprises:
A product suggestion system including a measuring instrument, a measurement item configured to be able to attach the measuring instrument, a user terminal, and a product suggestion device,
The product recommendation device,
a measurement data acquisition unit that acquires from the measuring device measurement data measured and stored by the measuring device while a user is using the measurement article to which the measuring device is attached;
a user information acquiring unit that acquires user information relating to the user; and a measurement data analyzing unit that analyzes the acquired measurement data.
a suggested product data generating unit that generates suggested product data to be proposed to the user using a result of the analysis of the measurement data, the received user information, and suggested product parameters;
Equipped with
The suggested product data generation unit,
As the suggested product data, product data indicating the suggested product and usage method data indicating a suggested usage method which is a usage method of the suggested product are created;
The user terminal includes a display unit,
The display unit displays at least one of the suggested product and a method of using the suggested product based on the suggested product data.

In order to achieve the above object, a product recommendation device according to the present invention comprises:
A user information acquisition unit that acquires information about a user;
a measurement data acquisition unit that acquires measurement data from the measuring device while the user is using the measurement item to which the measuring device is attached;
a measurement data analysis unit that analyzes the acquired measurement data;
a suggested product data generating unit that generates suggested product data for suggesting products to be used by the user based on an analysis result of the measurement data and the user information;
a proposal success rate calculation unit that analyzes a survey result regarding the proposed product of the user and calculates a proposal success rate indicating whether or not the proposed product meets the needs of the user based on the analysis result of the survey result;
a suggested product data update unit that updates the suggested product parameters based on the suggestion success rate;
Equipped with:

In order to achieve the above object, a product suggestion method according to the present invention comprises:
A product suggestion method using a computer device,
acquiring user information relating to a user;
a selection step of selecting a measurement object and a measuring instrument to be sent to the user based on the acquired user information;
a measurement data acquisition step of acquiring, from the measuring device, measurement data measured by the measuring device while the user is using the measurement item and stored;
a measurement data analysis step of analyzing the acquired measurement data;
a suggested product data generating step of generating suggested product data for suggesting products to be used by the user based on an analysis result of the measurement data and the user information;
Includes.

According to the present invention, appropriate products can be suggested to users based on user information and measurement data.

FIG. 2 is a sequence diagram for explaining an overall flow of the product recommendation system according to the first embodiment of the present invention. 1 is a block diagram for explaining a configuration of a product recommendation system according to a first embodiment of the present invention. 3 is a diagram showing an example of a suggested product parameter table possessed by a product proposal device of the product proposal system according to the first embodiment of the present invention; FIG. 1 is a diagram for explaining a hardware configuration of a product proposal device included in a product proposal system according to a first embodiment of the present invention. FIG. 5 is a flowchart illustrating a processing procedure of a product proposal device of the product proposal system according to the first embodiment of the present invention. FIG. 11 is a block diagram for explaining a configuration of a product recommendation system according to a second embodiment of the present invention. FIG. 11 is a diagram showing an example of a success rate table held by the product proposal device of the product proposal system according to the second embodiment of the present invention. FIG. 11 is a diagram for explaining a hardware configuration of a product proposal device included in a product proposal system according to a second embodiment of the present invention. 10 is a flowchart illustrating a processing procedure of a product proposal device of a product proposal system according to a second embodiment of the present invention. FIG. 13 is a block diagram for explaining a configuration of a product recommendation system according to a third embodiment of the present invention. FIG. 13 is a diagram showing an example of a continuation rate table held by a product proposal device of the product proposal system according to the third embodiment of the present invention. FIG. 13 is a diagram for explaining a hardware configuration of a product proposal device included in a product proposal system according to a third embodiment of the present invention. 13 is a flowchart illustrating a processing procedure of a product proposal device of a product proposal system according to a third embodiment of the present invention. FIG. 13 is a block diagram for explaining a configuration of a product recommendation system according to a fourth embodiment of the present invention. FIG. 13 is a diagram showing an example of a storage table included in a product collection device of the product recommendation system according to the fourth embodiment of the present invention. FIG. 13 is a diagram for explaining a hardware configuration of a product collection device included in a product proposal system according to a fourth embodiment of the present invention. FIG. 13 is a diagram for explaining a hardware configuration of a product proposal device included in a product proposal system according to a fourth embodiment of the present invention. 13 is a flowchart illustrating a processing procedure of a product proposal device of a product proposal system according to a fourth embodiment of the present invention. FIG. 13 is a block diagram for explaining a configuration of a product recommendation system according to a fifth embodiment of the present invention. 13 is a flowchart illustrating a processing procedure of a product collection device of a product recommendation system according to a fifth embodiment of the present invention. FIG. 13 is a block diagram for explaining a configuration of a product recommendation system according to a sixth embodiment of the present invention. 23 is a flowchart illustrating a processing procedure of a product collection device of a product recommendation system according to a sixth embodiment of the present invention. FIG. 13 is a block diagram for explaining a configuration of a product recommendation system according to a seventh embodiment of the present invention. 23 is a flowchart illustrating a processing procedure of a product proposal device of the product proposal system according to the seventh embodiment of the present invention. FIG. 23 is a block diagram for explaining the configuration of a product recommendation system according to an eighth embodiment of the present invention. 23 is a flowchart illustrating a processing procedure of a product proposal device of a product proposal system according to an eighth embodiment of the present invention. FIG. 13 is a block diagram for explaining the configuration of a product recommendation system according to a ninth embodiment of the present invention. 13 is a flowchart illustrating a processing procedure of a product proposal device of a product proposal system according to a ninth embodiment of the present invention.

Below, the embodiments for carrying out the present invention will be described in detail by way of example with reference to the drawings. However, the configurations, numerical values, processing flows, functional elements, etc. described in the following embodiments are merely examples, and may be freely modified or altered, and are not intended to limit the technical scope of the present invention to the following description.

[First embodiment]
A product proposal system 100 according to a first embodiment of the present invention will be described with reference to Fig. 1 to Fig. 5. The product proposal system 100 is a system that proposes appropriate products to a user 140. First, the overall processing flow of the product proposal system 100 will be described with reference to the sequence diagram of Fig. 1. The product proposal system 100 includes a measuring instrument 110, an item for measurement 120, a product proposal device 130, and a user terminal 150 (user 140).

In step S101, the product suggestion device 130 receives user information from the user terminal 150. The user information may include, in addition to personal information of the user 140, information on matters of concern from the user 140, such as what kind of absorbent article should be used. In step S102, the product suggestion device 130 delivers the measuring device 110 and the measurement article 120 to the user 140 based on the user information received from the user terminal 150. In step S103, the user 140 attaches the delivered measuring device 110 to the measurement article 120. Here, the delivered measuring device 110 is, for example, a sensor or wearable sensor capable of measuring the user's urination time and frequency, wet spread of urine, body data, vital data, surrounding environment data, etc., and a sensor capable of measuring the inclination and movement of the measurement article 120.

In step S105, the measuring device 110 performs a measurement. In step S107, the measuring device 110 transmits the measured measurement data to the product proposal device 130. The transmitted measurement data includes, for example, urination time data and urination frequency data of the user 140 using the measurement item 120, wetness and spread of urine data, body data, vital data, surrounding environment data, and data on the inclination and movement of the measurement item 120. In step S109, the product proposal device 130 analyzes the received measurement data. In step S111, the product proposal device 130 selects a product to be used by the user 140 based on the analysis result of the measurement data.

In step S113, the product suggestion device 130 transmits suggested product data of the selected suggested product to the user terminal 150 and ships the suggested product to the user 140. The suggested product is not limited to nursing care-related products, but is preferably an absorbent article or an excretion-related product such as a care product or a cleaning product. In step S115, the user 140 causes the user terminal 150 to display the suggested product or information about the suggested product, or uses the shipped suggested product. In step S117, if the user 140 determines that the suggested product meets his/her needs, he/she places an order for the suggested product. In step S119, the product suggestion device 130 records the purchase history of the suggested product in response to the order from the user.

In step S121, the user 140 transmits a questionnaire regarding the proposed product to the product proposal device 130. In step S123, the product proposal device 130 formulates an improvement plan for improving the proposed product based on the received questionnaire. In step S125, the product proposal device 130 proposes to the user a new product that is different from the previously proposed product. In the product proposal system 100, the above-mentioned processing is repeated.

Next, the configuration of the product proposal system 100 will be described with reference to FIG. 2. The product proposal system 100 includes a measuring instrument 110, a measurement item 120, a product proposal device 130, and a user terminal 150. The product proposal device 130 has a measurement data acquisition unit 231, a measurement data analysis unit 232, a proposed product data generation unit 233, and a user information acquisition unit 234. In the following description, the measuring instrument 110 is a sensor capable of measuring at least one of the user's urination volume and urination time, and the measurement item 120 is described as an absorbent item such as a diaper provided with electrodes or the like.

The measurement data acquisition unit 231 acquires from the measuring device 110 the measurement data 214 that is measured by the measuring device 110 when the user 140 attaches the measuring device 110 (sensor) to the measurement article 120 (absorbent article provided with electrodes) and is stored in the measuring device 110 while the user 140 is using the measurement article 120. The data acquisition from the measuring device 110 may be performed, for example, by sending a request for data transmission from the measurement data acquisition unit 231 to the measuring device 110. Alternatively, the data may be periodically transmitted from the measuring device 110 to the measurement data acquisition unit 231.

Here, the measurement data 214 is data that includes at least one of the amount of urine voided by the user 140 and the time of urination. That is, the measuring device 110 (sensor) is attached, for example, to the outer surface of the measurement article 120 (an absorbent article provided with electrodes) that does not come into contact with the skin of the user 140. The user 140 then wears the measurement article 120 to which the measuring device 110 is attached, and spends, for example, a night or a day. The measuring device 110 records the amount of urine voided and the time of urination while the user 140 is wearing the measurement article in a memory or the like provided in the measuring device 110.

The measurement data analysis unit 232 analyzes the acquired measurement data 214. The measurement data analysis unit 232 analyzes, for example, the amount of urine that is excreted and at what time of day as the content of the analysis. Specifically, the measurement data analysis unit 232 analyzes whether the person urinates shortly after going to bed, late at night, or early in the morning, and the amount of urine that is excreted and at what time of day.

The suggested product data generating unit 233 generates suggested product data for suggesting products to the user 140 to use based on the analysis results of the measurement data 214. The suggested product data generating unit 233 generates suggested product data for suggesting to the user 140, for example, absorbent articles according to the urination pattern of the user 140 as suggested products. Specifically, the suggested product data generating unit 233 suggests absorbent articles with a large absorption capacity as suggested products when the user 140 urinates a large amount or urinates late at night, and suggests absorbent articles that are easy to replace as suggested products when the user 140 urinates frequently.

The proposed product data generation unit 233 then collects data on the proposed products and generates proposed product data. The proposed product data includes, for example, the product name, price, product features, usage, and manufacturer. The proposed product data may also include, for example, information on alternative products for a product that has been used for many years and is being discontinued, or information on new products. The proposed product data may also include, but is not limited to, the advantages and disadvantages of using the proposed product, areas that can be improved, and areas that may be subject to restrictions.

The user information acquisition unit 234 acquires information about the user 140. The user information, which is information about the user 140, includes personal information about the user 140, and information about matters the user 140 wishes to consult about, such as what kind of absorbent article or the like should be used. The user information acquisition unit 234 acquires the user information from, for example, the user terminal 150.

Next, the measuring device 110 has a measuring unit 211, a measurement data storage unit 212, and a measurement data transmission unit 213. The measuring unit 211 measures the urination data and posture data of the user 140 as measurement data 214.

First, the measurement data 214 includes the amount of urine voided by the user 140 and the time of urination. The amount of urine voided is measured using a change in impedance between the electrodes of a measurement article 120, such as an absorbent article provided with electrodes, and the time of urination is measured by, for example, detecting the presence or absence of urination based on a change in current between the electrodes provided on the measurement article 120, and measuring the time of urination as the time at which the presence or absence of urination is detected. Note that the measurement of the amount of urine voided and the time of urination are not limited to these methods.

The measurement data 214 also includes posture data of the user 140. The posture data of the user 140 is data including the posture of the user 140 while the user 140 is wearing the measurement article 120. The posture data is data indicating, for example, whether the user 140 is lying prone, lying supine, sitting, walking, sitting, sleeping, moving a lot, moving a little, etc., and is measured along with the time.

The measurement data storage unit 212 stores the measurement data 214 measured by the measurement unit 211. The measurement data storage unit 212 is a memory that receives and stores the measurement data 214 from the measurement unit 211, and may be either a volatile memory or a non-volatile memory.

The measurement data transmission unit 213 transmits the measurement data 214 to the product proposal device 130. The measurement data transmission unit 213 also has a connection interface for connecting to the product proposal device 130, and the measuring instrument 110 is connected to the product proposal device 130 via the connection interface in a wired or wireless manner. In other words, the measurement data 214 measured by the measuring instrument 110 is transmitted from the measurement data transmission unit 213 to the product proposal device 130 in a wired or wireless manner. The connection method between the measuring instrument 110 and the product proposal device 130 may be either a wired method or a wireless method.

The user terminal 150 has a user information receiving unit 151 and a display unit 152. The user information receiving unit 151 receives user information related to the user 140. The user information is personal information of the user 140, and includes, for example, age, sex, height, weight, illness, illness history, consultation matters (urine leakage from diapers, etc.), name, address, level of need for care, degree of independence, presence or absence of paralysis, body measurement data such as hip size and waist size, presence or absence of medical devices such as pacemakers, presence or absence of infectious diseases, presence or absence of communication, presence or absence of poor health, family composition, type, product name, manufacturer name, etc. of absorbent articles currently in use, usage status such as the number of absorbent articles currently in use and replacement timing, skin rashes, etc. caused by the absorbent articles currently in use, leakage of urine or feces, etc. from the absorbent articles, other concerns about the absorbent articles currently in use, preferences for types of absorbent articles, etc. The user information is input by the user 140 using an input device such as a software keyboard of the user terminal 150 or a physical keyboard connected to the user terminal 150. Alternatively, the user information receiving unit 151 may receive user information transmitted from a computer that manages user information. The user terminal 150 then stores the received user information in a predetermined storage device or the like. The user terminal 150 may also transmit the received user information to the product proposal device 130.

The display unit 152 displays at least one of the received user information, the proposed product proposed based on the proposed product data, and the method of using the proposed product. The display unit 152 is a display device such as a touch screen or a display. The display unit 152 displays the product name, image, video, method of use, method of purchase, related products, features, user information of the user 140, etc., of the product related to the proposed product data generated by the product proposal device 130.

Figure 3 is a diagram showing an example of a suggested product parameter table 301 held by the product proposal device 130. The suggested product parameter table 301 stores suggested product parameters 312 in association with a product ID (Identifier) 311. The product ID 311 is an identifier for identifying each product. The suggested product parameters 312 are information about the product to be proposed to the user 140, and include the product name, features, price, usage method, manufacturer, and the like. The product proposal device 130 then references the suggested product parameter table 301 to generate suggested product data for proposing to the user 140 a product to be used.

Next, the hardware configuration of the product proposal device 130 will be described with reference to FIG. 4. The CPU (Central Processing Unit) 410 is a processor for arithmetic control, and realizes each functional configuration of the product proposal device 130 in FIG. 2 by executing a program. The CPU 410 has multiple processors and may execute different programs, modules, tasks, threads, etc. in parallel. The ROM (Read Only Memory) 420 stores fixed data such as initial data and programs, and other programs. The network interface 430 communicates with other devices, etc. via a network. The CPU 410 is not limited to one, and may be multiple CPUs, or may include a GPU (Graphics Processing Unit) for image processing. It is also preferable that the network interface 430 has a CPU independent of the CPU 410 and writes or reads transmitted or received data to or from an area of the RAM (Random Access Memory) 440. It is also preferable to provide a DMAC (Direct Memory Access Controller) (not shown) that transfers data between the RAM 440 and the storage 450. Furthermore, the CPU 410 recognizes that data has been received or transferred to the RAM 440 and processes the data. The CPU 410 also prepares the processing results in the RAM 440 and leaves subsequent transmission or transfer to the network interface 430 or the DMAC.

The RAM 440 is a random access memory used by the CPU 410 as a work area for temporary storage. The RAM 440 has a storage area reserved for storing data necessary for implementing this embodiment. The urination volume data 441 is data relating to the amount of urine excreted while the user 140 is using the measurement article 120 (absorbent article). The urination time data 442 is data relating to the time when the user 140 urinates while using the measurement article 120. The posture data 443 is data relating to the posture of the user 140 while the user 140 is using the measurement article 120. The user information 444 is personal information about the user 140 who is using the measurement article 120, and includes, for example, age, sex, height, weight, current illness, disease history, consultations (urine leakage from diapers, etc.), name, address, level of care required, degree of independence, paralysis, hip size, waist size, and other body measurement data, use of medical devices such as a pacemaker, infection, communication, poor health, family composition, type, product name, manufacturer, etc. of absorbent article currently in use, usage status such as number of absorbent articles currently in use and replacement period, skin rashes caused by absorbent articles currently in use, leakage of urine or feces from absorbent articles, other concerns about absorbent articles currently in use, and preferences for types of absorbent articles.

Transmitted and received data 445 is data transmitted and received via the network interface 430. In addition, the RAM 440 has an application execution area 446 for executing various application modules.

Storage 450 stores a database, various parameters, or the following data or programs required to realize this embodiment. Storage 450 stores suggested product parameter table 301. Suggested product parameter table 301 is a table that manages the relationship between product ID 311 and suggested product parameters 312 shown in FIG. 3.

The storage 450 further stores a measurement data acquisition module 451, a measurement data analysis module 452, and a suggested product data generation module 453. The measurement data acquisition module 451 is a module that acquires the measurement data 214 measured by the measuring instrument 110 while the user 140 is using the measurement item 120 to which the measuring instrument 110 is attached, from the measuring instrument 110. The measurement data analysis module 452 is a module that analyzes the acquired measurement data 214. The suggested product data generation module 453 is a module that generates suggested product data for suggesting a product to be used to the user 140 based on the analysis result of the measurement data 214. The user information acquisition module 454 is a module that acquires information about the user 140. These modules 451 to 454 are read by the CPU 410 into the application execution area 446 of the RAM 440 and executed. The control program 455 is a program for controlling the entire product proposal device 130.

The input/output interface 460 interfaces with input/output devices for input/output data. A display unit 461 and an operation unit 462 are connected to the input/output interface 460. A storage medium 464 may also be connected to the input/output interface 460. A speaker 463 serving as an audio output unit, a microphone (not shown) serving as an audio input unit, or a GPS position determination unit may also be connected. Note that the RAM 440 and storage 450 shown in FIG. 4 do not show programs or data relating to the general-purpose functions of the product proposal device 130 or other feasible functions.

The processing procedure of the product proposal device 130 will be described with reference to the flowchart shown in FIG. 5. This flowchart is executed by the CPU 410 in FIG. 4 using the RAM 440, and realizes each functional configuration of the product proposal device 130 in FIG. 2.

In step S501, the product proposal device 130 acquires personal information of the user 140. In step S503, the product proposal device 130 acquires the measurement data 214 measured by the measuring instrument 110. In step S505, the product proposal device 130 analyzes the acquired measurement data 214. In step S507, the product proposal device 130 selects a proposed product to be used by the user 140. In step S509, the product proposal device 130 generates proposed product data to be proposed for the selected proposed product.

According to this embodiment, a measuring device is used to measure the usage of a measurement item by a user, making it possible to generate appropriate suggested product data for the user. In addition, it is possible to take into account the user's personal information in addition to the measurement data from the measuring device, making it possible to generate more appropriate suggested product data.

[Second embodiment]
Next, a product proposal system 600 according to a second embodiment of the present invention will be described with reference to Figures 6 to 9. The product proposal system 600 according to this embodiment differs from the first embodiment in that the product proposal device further includes a proposal success rate calculation unit and a proposed product data update unit. Since the other configurations and operations are the same as those in the first embodiment, the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 600 includes a product proposal device 630. The product proposal device 630 has a proposal success rate calculation unit 631 and a proposed product data update unit 632. The proposal success rate calculation unit 631 analyzes the results of a questionnaire on the proposed product of the user 140, and calculates a proposal success rate indicating whether the proposed product matches the desires of the user 140 based on the analysis result of the questionnaire result. The proposal success rate is calculated, for example, by posting 10 questions in a questionnaire and checking how many of the posted 10 questions are checked to indicate that the user's impressions or thoughts on the proposed product are good. In this case, if 8 out of 10 items are checked, the calculation is 80%. The method of calculating the proposal success rate is not limited to the method shown here. For example, the proposal success rate may be calculated by setting a weighting value (for example, 1 to 10) for each item.

The proposed product data update unit 632 updates the proposed product data based on the proposal success rate calculated by the proposal success rate calculation unit 631. For example, if the proposal success rate calculated by the proposal success rate calculation unit 631 is high, this indicates that the user 140 is satisfied with the proposed product, so the proposed product data update unit 632 updates the proposed product data and records the proposed product as a product with high satisfaction rate for the user 140. For example, if there is a list of products proposed to the user 140 in order of satisfaction rate, the proposed product data update unit 632 may update the order of the list. Note that the product proposal device 630 may transmit the questionnaire to the user terminal 150 held by the user 140, and the user 140 may use the user terminal 150 to return the questionnaire result to the product proposal device 630.

Figure 7 is a diagram showing an example of a success rate table 701 held by the product proposal device 630. The success rate table 701 stores survey contents 712 and survey results 713 in association with a user ID 711. The user ID 711 is an identifier for identifying each user 140. The survey contents 712 are the contents of the survey sent to the user 140. The survey results 713 are the results of the user 140's responses to the survey. The proposed product 714 is a product proposed to the user 140 as a product that should be used. The product proposal device 630 then refers to the success rate table 701 to calculate the proposal success rate.

Next, the hardware configuration of the product proposal device 630 will be described with reference to FIG. 8. The RAM 840 is a random access memory used by the CPU 410 as a work area for temporary storage. A storage area for storing data necessary for implementing this embodiment is secured in the RAM 840. The proposed product 841 is data related to a product proposed by the product proposal device 630 to the user 140. The result data 842 is data of responses given by the user 140 to a questionnaire about the proposed product.

Storage 850 stores a database, various parameters, or the following data or programs required to implement this embodiment. Storage 850 stores a success rate table 701. Success rate table 701 is a table that manages the relationship between user ID 711 and survey result 713, etc., shown in FIG. 7.

The storage 850 further stores a proposal success rate calculation module 851 and a proposed product data update module 852. The proposal success rate calculation module 851 is a module that analyzes the results of a questionnaire to the user 140 regarding the proposed product, and calculates a proposal success rate that indicates whether the proposed product meets the needs of the user 140. The proposed product data update module 852 is a module that updates the proposed product data based on the calculated proposal success rate. These modules 851 to 852 are read by the CPU 410 into the application execution area 446 of the RAM 840 and executed.

The processing procedure of the product proposal device 630 will be described with reference to the flowchart shown in FIG. 9. This flowchart is executed by the CPU 410 in FIG. 8 using the RAM 840, and realizes each functional configuration of the product proposal device 630 in FIG. 6.

In step S901, the product proposal device 630 acquires the survey results for the product proposed to the user 140, and analyzes the acquired survey results. The analysis of the results is performed, for example, by counting the number of survey items that the user 140 answered as good, but is not limited to this method. Then, in step S903, the product proposal device 630 calculates the proposal success rate based on the analysis result. The proposal success rate is calculated, for example, based on the proportion of good responses to the survey items. In step S905, if the proposal success rate is high, the product proposal device 630 updates the proposed product data.

According to this embodiment, the recommendation success rate is calculated, making it possible to recommend more appropriate products to users.

[Third embodiment]
Next, a product proposal system 1000 according to a third embodiment of the present invention will be described with reference to Figures 10 to 13. The product proposal system 1000 according to this embodiment differs from the first and second embodiments in that the product proposal device further includes a sales information recording unit and a continuous use rate calculation unit. Since the other configurations and operations are similar to those of the first and second embodiments, the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 1000 includes a product proposal device 1030. The product proposal device 1030 further includes a sales information recording unit 1031 and a continuous use rate calculation unit 1032. The sales information recording unit 1031 records continuous use information on whether the user 140 continues to use the proposed product. If the user 140 continues to use the proposed product, it means that the user 140 has continuously purchased the proposed product, and the sales information recording unit 1031 records such information on continuous use as sales information. On the other hand, if the user 140 does not continue to use the proposed product, it means that the user 140 has purchased a product different from the proposed product, and the sales information recording unit 1031 may also record the fact that the user 140 has purchased a different product as sales information.

The continued use rate calculation unit 1032 calculates the continued use rate of the suggested product based on the continued use information. The continued use rate may be, for example, the percentage of how long the suggested product has been used since it was first proposed, or the percentage of how long the suggested product has been used relative to the average continued use rate, but is not limited to these. The continued use rate may also be, for example, the percentage of how many times the suggested product has been purchased relative to the entire past purchase history of the user 140.

Then, the suggested product data update unit 632 updates the product proposal data based on the calculated continued use rate. The suggested product data update unit 632, for example, adds the continued use rate to the product proposal data as new data.

FIG. 11 is a diagram showing an example of a continuation rate table 1101 held by the product proposal device 1030. The continuation rate table 1101 stores a purchase history 1111 and a usage period 1112 in association with a user ID 711. The purchase history 1111 indicates how many times the user 140 has purchased the proposed product. The usage period 1112 indicates the period during which the user 140 has used the proposed product. The product proposal device 1030 then refers to the continuation rate table 1101 to calculate the continuation usage rate.

Next, the hardware configuration of the product proposal device 1030 will be described with reference to FIG. 12. The RAM 1240 is a random access memory used by the CPU 410 as a work area for temporary storage. The RAM 1240 has a storage area reserved for storing data necessary for implementing this embodiment. The usage period 1241 is data indicating how long the proposed product has been used. The number of purchases 1242 is data indicating how many times the proposed product has been purchased.

Storage 1250 stores a database, various parameters, or the following data or programs required to realize this embodiment. Storage 1250 stores a continuation rate table 1101. The continuation rate table 1101 is a table that manages the relationship between user ID 711, purchase history 1111, and usage period 1112 shown in FIG. 11.

Storage 1250 further stores a sales information recording module 1251 and a continued use rate calculation module 1252. Sales information recording module 1251 is a module that records continued use information regarding whether or not a suggested product is being used continuously. Continued use rate calculation module 1252 is a module that calculates the continued use rate of a suggested product. These modules 1251 to 1252 are read by CPU 410 into application execution area 446 of RAM 1240 and executed.

The processing procedure of the product proposal device 1030 will be described with reference to the flowchart shown in FIG. 13. This flowchart is executed by the CPU 410 in FIG. 12 using the RAM 1240, and realizes each functional configuration of the product proposal device 1030 in FIG. 10. In step S1301, the product proposal device 1030 records continued use information. In step S1303, the product proposal device 1030 calculates the continued use rate.

According to this embodiment, the continued use rate of the suggested product is calculated, and the usage status of the suggested product by the user after the product is suggested is taken into consideration, making it possible to suggest a product that is more suitable for the user.

[Fourth embodiment]
Next, a product proposal system 1400 according to a fourth embodiment of the present invention will be described with reference to Figures 14 to 17. The product proposal system 1400 according to this embodiment differs from the first to third embodiments in that the product proposal system includes a product collection device, and the product proposal device further includes a proposed product data output unit. Since the other configurations and operations are similar to those of the first to third embodiments, the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 1400 includes a product proposal device 1430 and a product collection device 1440. The product proposal device 1430 further includes a proposed product data output unit 1431. The proposed product data output unit 1431 outputs the proposed product data generated by the proposed product data generation unit 233. The proposed product data output unit 1431 outputs the generated proposed product data to another device such as a user terminal 150 or a product collection device 1440. The proposed product data output unit 1431 may also print information about the proposed product based on the proposed product data or output it to a display device such as a display.

Next, the product collection device 1440 has a receiving unit 1441 and a product collection unit 1442. The product collection device 1440 is, for example, a self-propelled product collection robot, and is a robot having a picking mechanism such as an arm for picking up products. The receiving unit 1441 receives the suggested product data. The product collection unit 1442 collects the suggested product data based on the received suggested product data. For example, the product collection unit 1442 moves the product collection device 1440 to a storage location of the suggested products, and picks up the suggested products stored on a storage shelf or the like using a picking arm or the like provided in the product collection device 1440. After picking up the suggested products, the product collection unit 1442 transports the picked up suggested products to a predetermined location.

FIG. 15 is a diagram showing an example of a storage table 1501 held by the product collection device 1440. The storage table 1501 stores storage information 1511 in association with product ID 311. The storage information 1511 is information about products stored in a logistics warehouse or the like. The storage information 1511 includes a storage location, an inventory quantity, and replenishment information. The storage location indicates the location (position) where the product is stored in a warehouse or the like, and indicates the storage location using, for example, a specified symbol or number. The inventory quantity is the number of products stored in the warehouse or the like, and the replenishment information indicates when and how many of the product will be replenished. The product collection device 1440 then refers to the storage table 1501 and picks up the products instructed to be collected by the suggested product data.

Next, referring to FIG. 16A, the hardware configuration of the commodity collecting device 1440 will be described. The CPU 1610 is a processor for arithmetic control, and executes a program to realize each functional configuration of the commodity collecting device 1440 in FIG. 14. The CPU 1610 has multiple processors, and may execute different programs, modules, tasks, threads, etc. in parallel. The ROM 1620 stores fixed data such as initial data and programs, and other programs. The network interface 1630 communicates with other devices, etc., via a network. The CPU 1610 is not limited to one, and may be multiple CPUs or may include a GPU for image processing. The network interface 1630 preferably has a CPU independent of the CPU 1610, and writes or reads transmitted and received data in an area of the RAM 1640. It is also preferable to provide a DMAC that transfers data between the RAM 1640 and the storage 1650 (not shown). The CPU 1610 recognizes that data has been received or transferred to the RAM 1640 and processes the data. Additionally, the CPU 1610 prepares the processing results in the RAM 1640, and leaves subsequent transmission or transfer to the network interface 1630 or DMAC.

RAM 1640 is a random access memory used by CPU 1610 as a work area for temporary storage. RAM 1640 has a storage area reserved for storing data necessary for implementing this embodiment. Storage location data 1641 is data relating to the location where the suggested products are stored. Suggested product data 1642 is data about the suggested products to be collected, including product names and quantities. Delivery destination data 1643 is data such as the location of the department responsible for shipping the collected suggested products, the user's address, and other such destinations for the suggested products.

Transmitted and received data 1644 is data transmitted and received via network interface 1630. RAM 1640 also has an application execution area 1645 for executing various application modules.

Storage 1650 stores a database, various parameters, or the following data or programs required to implement this embodiment. Storage 1650 stores storage table 1501. Storage table 1501 is a table that manages the relationship between product ID 311 and storage information 1511 shown in FIG. 15.

The storage 1650 further stores a receiving module 1651 and a product collection module 1652. The receiving module 1651 is a module that receives suggested product data. The product collection module 1652 is a module that collects suggested products based on the received suggested product data. These modules 1651 to 1652 are read by the CPU 1610 into the application execution area 1645 of the RAM 1640 and executed. The control program 1653 is a program for controlling the entire product collection device 1440.

The hardware configuration of the product proposal device 1430 will be described with reference to FIG. 16B. The RAM 1660 is a random access memory used by the CPU 410 as a work area for temporary storage. A storage area for storing data necessary for implementing this embodiment is secured in the RAM 1660. The output data 1661 is data for outputting suggested product data. The storage 1670 further stores a suggested product data output module 1671. The suggested product data output module 1671 is a module that outputs suggested product data generated by the suggested product data generation unit 233. This module 1671 is read by the CPU 410 into the application execution area 446 of the RAM 1660 and executed.

The processing procedure of the product collection device 1440 will be described with reference to the flowchart shown in FIG. 17. This flowchart is executed by the CPU 1610 in FIG. 16 using the RAM 1640, and realizes each functional configuration of the product collection device 1440 in FIG. 14.

In step S1701, the product collection device 1440 receives the suggested product data output from the product proposal device 1430. In step S1703, the product collection device 1440 moves to a location where the suggested product is stored based on the received suggested product data. In step S1705, the product collection device 1440 picks up the suggested product from the storage shelf where the suggested product is stored. In step S1707, the product collection device 1440 transports the picked-up suggested product to the destination.

In this embodiment, a product collection device is used, so suggested products can be automatically picked up and transported to the destination.

[Fifth embodiment]
Next, a product proposal system 1800 according to a fifth embodiment of the present invention will be described with reference to Figures 18 and 19. The product proposal system 1800 according to this embodiment differs from the first to fourth embodiments in that the product collection device has an instruction content display unit. Other configurations and operations are similar to those of the first to fourth embodiments, so the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 1800 includes a product collection device 1840. The product collection device 1840 has an instruction content display unit 1841. The instruction content display unit 1841 displays the instruction content instructing the collection of the proposed product. The instruction content includes, but is not limited to, the product name of the proposed product, the quantity to be collected, and the storage location.

Next, the processing procedure of the product collection device 1840 will be described with reference to the flowchart shown in FIG. 19. This flowchart is executed by the CPU 1610 in FIG. 16 using the RAM 1640, and realizes each functional configuration of the product collection device 1840 in FIG. 18. In step S1901, the product collection device 1840 displays instructions to collect suggested products.

According to this embodiment, the instructions are displayed, so the operator of the product collection device 1840 can also monitor the operation of the product collection device 1840, making it possible to accurately pick out suggested products.

Sixth Embodiment
Next, a product proposal system 2200 according to a sixth embodiment of the present invention will be described with reference to Figures 20 and 21. The product proposal system 2200 according to this embodiment differs from the first to fifth embodiments in that the product collection device has a suggested product sheet output unit. Since the other configurations and operations are similar to those of the first to fifth embodiments, the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 2000 includes a product collection device 2040. The product collection device 2040 has a proposed product sheet output unit 2041. The proposed product sheet output unit 2041 outputs a proposed product sheet on which information about the proposed product is printed based on the proposed product data. For example, information about the user 140, the product name of the proposed product, and usage instructions are printed on the proposed product sheet. Then, for example, an operator of the product collection device may attach the proposed product sheet to packaging materials for the proposed product and ship the proposed product to the user 140. The proposed product sheet may be separate sheets for the product name, etc. and usage instructions, or may be in a folded form or in a booklet form.

Next, the processing procedure of the product collection device 2040 will be described with reference to the flowchart shown in FIG. 21. This flowchart is executed by the CPU 1610 in FIG. 16 using the RAM 1640, and realizes each functional configuration of the product collection device 2040 in FIG. 20. In step S2101, the product collection device 2040 outputs a suggested product sheet on which information about suggested products is printed.

According to this embodiment, a suggested product sheet with information about the suggested products printed on it is output, allowing the user to use the suggested products correctly and increasing satisfaction with the suggested products.

[Seventh embodiment]
Next, a product proposal system 2200 according to a seventh embodiment of the present invention will be described with reference to Figures 22 and 23. The product proposal system 2200 according to this embodiment differs from the first to sixth embodiments in that the product proposal device has a measurement record acquisition unit and a measurement record analysis unit. Since the other configurations and operations are similar to those of the first to sixth embodiments, the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 2200 includes a product proposal device 2230. The product proposal device 2230 has a measurement record acquisition unit 2231 and a measurement record analysis unit 2232. The measurement record acquisition unit 2231 acquires a measurement record of the user 140 using a measurement item during the measurement period. The user 140 keeps a measurement diary during the measurement period as a record of the measurement using the measurement item. The measurement diary includes information on how the user 140 specifically used the measuring device and the measurement item to measure. The measurement record includes at least one of the time when the measurement item 120 was replaced, the presence or absence of urinary leakage, the state of urinary leakage, and the posture at the time of urinary leakage. The user 140 then inputs the measurement record (measurement diary) using, for example, the user terminal 150. In addition, the measurement record may include, for example, a record regarding the user 140's senses that cannot be obtained from the measurement data 214. Furthermore, there are also users 140 who use absorbent articles but do so for peace of mind, and since such users 140 actually excrete in the toilet, the number of excretions may include the number of times they excrete in the toilet, and the amount of urine may include the amount of urine excreted in the toilet. In addition, a record of the weight of the measurement article used may be included. The measurement record acquisition unit 2231 then acquires the measurement records input from the user terminal 150.

The measurement record analysis unit 2232 analyzes the measurement records acquired by the measurement record acquisition unit 2231. The measurement record analysis unit 2232 analyzes, for example, information that cannot be obtained from the measurement data 214. In this way, it is possible to suggest products to be used by the user 140, taking into account information that cannot be obtained from the measurement data 214.

Next, the processing procedure of the product proposal device 2230 will be described with reference to the flowchart shown in FIG. 23. This flowchart is executed by the CPU 410 in FIG. 12 using the RAM 1240, and realizes each functional configuration of the product proposal device 2230 in FIG. 22.

In step S2301, the product proposal device 2230 acquires a measurement record of the user 140's use of the proposed product during a predetermined period. In step S2303, the product proposal device 2230 analyzes the acquired measurement record. Then, in step S2305, the product proposal device 2230 generates proposed product data taking into account the results of the analysis of the measurement record.

According to this embodiment, it is possible to suggest products that the user should use by taking into account information that cannot be obtained from measurement data, so that more appropriate products can be suggested to the user.

[Eighth embodiment]
Next, a product proposal system 2400 according to an eighth embodiment of the present invention will be described with reference to Figures 24 and 25. The product proposal system 2400 according to this embodiment differs from the first to seventh embodiments in that the product proposal device has an exchange time data output unit. Other configurations and operations are similar to those of the first to seventh embodiments, so the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 2400 includes a product proposal device 2430. The product proposal device 2430 has a replacement time data output unit 2431. The replacement time data output unit 2431 derives a replacement time, which is the time when the absorbent article should be replaced, based on the measurement data 214, and outputs the replacement time data. The replacement time data may be output, for example, by printing the replacement time on a specified sheet. Then, for example, the sheet on which the replacement time is printed may be attached to the packaging material of the proposed product (absorbent article). The replacement time may also be output, for example, to the display unit 152 of the user terminal 150.

Next, the processing procedure of the product proposal device 2430 will be described with reference to the flowchart shown in FIG. 25. This flowchart is executed by the CPU 410 in FIG. 12 using the RAM 1240, and realizes each functional configuration of the product proposal device 2430 in FIG. 24. In step S2501, the product proposal device 2430 outputs replacement time data. The replacement time data may be output, for example, by printing on a specified sheet or output to the display unit 152 of the user terminal 150.

According to this embodiment, it becomes possible to replace absorbent articles in accordance with the urination cycle of the user 140 obtained from the measurement data 214, thereby preventing urine leakage and reducing discomfort caused by the use of absorbent articles that exceed the upper limit of the amount of urine absorbed.

[Ninth embodiment]
Next, a product proposal system 2600 according to a ninth embodiment of the present invention will be described with reference to Figures 26 and 27. The product proposal system 2600 according to this embodiment differs from the first to eighth embodiments in that the product proposal device has a return history recording unit. Since the other configurations and operations are the same as those of the first to eighth embodiments, the same configurations and operations are denoted by the same reference numerals and detailed descriptions thereof will be omitted.

The product proposal system 2600 includes a product proposal device 2630. The product proposal device 2630 has a return history recording unit 2631. When a proposed product is returned by the user 140, the return history recording unit 2631 records the return history of the proposed product in association with the user information. In other words, when a proposed product is returned by the user 140, the user 140 has decided that the proposed product does not suit the user 140, does not want to use it, etc., and so the return history is recorded in association with the user information so that such a product is not proposed to the user 140 again.

Then, the suggested product data update unit 632 updates the suggested product data based on the recorded return history. In this way, by updating the suggested product data, it is possible to prevent the user 140 from re-proposing a product that the user has determined to be unnecessary.

Next, the processing procedure of the product proposal device 2630 will be described with reference to the flowchart shown in FIG. 27. This flowchart is executed by the CPU 410 in FIG. 12 using the RAM 1240, and realizes each functional configuration of the product proposal device 2630 in FIG. 26. In step S2701, the product proposal device 2630 records the return history. In step S2703, the product proposal device 2630 updates the proposed product data.

According to this embodiment, the return history is recorded, so it is possible to effectively prevent the re-proposition of products that the user has determined to be unnecessary.

The following notes are further provided with respect to the above-described embodiment.

＜1＞
A product suggestion system including a measuring instrument, a measurement item configured to be able to attach the measuring instrument, a user terminal, and a product suggestion device,
The product recommendation device,
a measurement data acquisition unit that acquires from the measuring device measurement data that is measured and stored by the measuring device while the user is using the measurement device when the user attaches the measuring device to the measurement object;
a user information acquiring unit that acquires user information relating to the user; and a measurement data analyzing unit that analyzes the acquired measurement data.
a suggested product data generating unit that generates suggested product data to be proposed to the user using a result of the analysis of the measurement data, the received user information, and suggested product parameters;
Equipped with
The suggested product data generation unit,
As the suggested product data, product data indicating the suggested product and usage method data indicating a suggested usage method which is a usage method of the suggested product are created;
The user terminal includes a display unit,
The display unit displays at least one of the suggested product and a method of using the suggested product based on the suggested product data.
＜2＞
The user terminal includes a questionnaire input unit,
The product recommendation device,
a proposal success rate calculation unit that analyzes a survey result, which is an input by the user to the survey input unit regarding the proposed product, and calculates a proposal success rate that indicates whether the proposed product meets the needs of the user based on an analysis result of the survey result;
a suggested product data update unit that updates the suggested product parameters for the product data proposal based on the suggestion success rate;
The product recommendation system according to <1>, further comprising:
＜3＞
The product recommendation device,
a sales information recording unit for recording continuous use information regarding whether the user continues to use the suggested product;
a continuous use rate calculation unit that calculates a continuous use rate of the suggested product based on the continuous use information;
and
The product recommendation system according to <1> or <2>, wherein the suggested product data update unit updates the suggested product parameters based on the rate of continued use.
＜4＞
The proposed product is an absorbent article,
The measurement data includes at least one of a urination volume and a urination time of the user,
The suggested product data generation unit further derives the size and quantity of the absorbent articles required by the user in a specified period of time, and generates the suggested product data. A product suggestion system described in any one of <1> to <3>.
＜5＞
The product recommendation device,
a measurement record acquiring unit for acquiring a measurement record of the user's use of the measurement item during a measurement period;
a measurement record analysis unit that analyzes the measurement record;
Further equipped with
The suggested product data generation unit uses the measurement data and the analysis results of the measurement record analysis unit to derive the size and the quantity, and generates suggested product data. A product suggestion system described in any one of <1> to <4>.
＜6＞
The measurement record includes at least one of the following: the time when the measurement item was replaced, the presence or absence of urinary leakage, the manner in which urinary leakage occurred and the posture at the time of urinating in the toilet, the weight of the measurement item used, and the amount of urination in the toilet.
＜７＞
The suggested product data includes replacement time data indicating a replacement time when the absorbent article should be replaced,
The product recommendation system described in any one of <1> to <6>, wherein the suggested product data generation unit derives the replacement time, which is the time when the absorbent article should be replaced, based on the measurement data, and outputs the replacement time data.
＜8＞
the product suggestion device further includes a return history recording unit configured to record a return history of the suggested product in association with the user information when the suggested product is returned by the user;
The product suggestion system according to any one of <1> to <7>, wherein the suggested product data update unit updates the suggested product data based on the recorded return history.

＜9＞
A user information acquisition unit that acquires information about a user;
a measurement data acquisition unit that acquires measurement data from the measuring device while the user is using the measurement item to which the measuring device is attached;
a measurement data analysis unit that analyzes the acquired measurement data;
a suggested product data generating unit that generates suggested product data for suggesting products to be used by the user based on an analysis result of the measurement data and the user information;
a proposal success rate calculation unit that analyzes a survey result regarding the proposed product of the user and calculates a proposal success rate indicating whether or not the proposed product meets the needs of the user based on the analysis result of the survey result;
a suggested product data update unit that updates the suggested product parameters based on the suggestion success rate;
A product suggestion device comprising:
＜10＞
The product recommendation device according to <9>, wherein the survey results include continuous use information about whether the user continues to use the recommended product.
<11>
The product suggestion device further includes a continuous use rate calculation unit that calculates a continuous use rate of the suggested product based on the continuous use information,
The product suggestion device according to <9> or <10>, wherein the suggested product data update unit updates the suggested product parameters based on the continuous use rate.
＜12＞
A suggested product data output unit that outputs the suggested product data,
The product suggestion device according to any one of <9> to <11>, wherein the suggested product data output unit transmits the output suggested product data and user information to a product collection device and instructs the product collection and delivery destination.
＜13＞
The proposed product is an absorbent article,
The measurement data includes at least one of a urination volume and a urination time of the user,
The suggested product data generation unit derives the size and quantity of the absorbent articles required by the user in a specified period of time, and generates the suggested product data.
＜14＞
a measurement record acquisition unit that acquires a measurement record of the user using the measurement item during a measurement period;
a measurement record analysis unit that analyzes the measurement record;
Further equipped with
The suggested product data generation unit further derives the size and the quantity based on the analysis results of the measurement record analysis unit, and generates suggested product data. The product suggestion device described in any one of <9> to <13>.
＜15＞
The measurement record includes at least one of the following: the time when the measurement item was changed, the presence or absence of urinary leakage, the manner in which urinary leakage occurred and the posture at the time of urinating in the toilet, the weight of the measurement item used, and the amount of urination in the toilet.
＜16＞
The product recommendation device according to any one of <9> to <15> further comprises a replacement time data output unit that derives a replacement time, which is the time when the absorbent article should be replaced, based on the measurement data, and outputs replacement time data.
＜１７＞
a return history recording unit that, when the suggested product is returned by the user, records a return history of the suggested product in association with the user information,
The product suggestion device according to any one of <9> to <16>, wherein the suggested product data update unit updates the suggested product data based on the recorded return history.

＜18＞
A product suggestion method using a computer device,
acquiring user information relating to a user;
a selection step of selecting a measurement object and a measuring instrument to be sent to the user based on the acquired user information;
a measurement data acquisition step of acquiring, from the measuring device, measurement data measured by the measuring device while the user is using the measurement item and stored;
a measurement data analysis step of analyzing the acquired measurement data;
a suggested product data generating step of generating suggested product data for suggesting products to be used by the user based on an analysis result of the measurement data and the user information;
The absorbent article proposing method includes the steps of:

＜19＞
A product suggestion method,
An acquisition step in which a business acquires user information relating to a user;
selecting a measurement item and a measuring instrument to be sent to the user by the business operator based on the acquired user information;
a step of the business operator instructing the user to send the selected measurement item and the measuring instrument;
The user receives the measurement item and the measurement device;
a step of the user performing a measurement using the measurement object and the measuring device;
The business operator acquires from the measuring device the measurement data measured and stored while the user is using the measurement item;
a measurement data analysis step in which the business operator analyzes the acquired measurement data;
A step in which the business generates suggested product data for suggesting products to be used by the user based on an analysis result of the measurement data, the user information, and the measurement log;
a step of the business notifying the user of a suggested product based on the suggested product data;
A step of the user confirming the content of the suggested product; and a step of the user ordering the notified product.
A step in which the business entity sends products and suggested product data to the user;
A method for suggesting products including:

[Other embodiments]
Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In addition, systems or devices that combine separate features included in each embodiment in any way are also included in the scope of the present invention.

The present invention may be applied to a system consisting of multiple devices, or to a single device. Furthermore, the present invention may be applied to a case where an information processing program for implementing the functions of the embodiments is supplied directly or remotely to a system or device. Therefore, the scope of the present invention includes a program installed on a computer to implement the functions of the present invention, a medium storing the program, and a WWW (World Wide Web) server for downloading the program. In particular, the scope of the present invention includes at least a non-transitory computer readable medium storing a program for causing a computer to execute the processing steps included in the above-mentioned embodiments.

Claims (10)

A product suggestion system including a measuring instrument, a measurement item configured to be able to attach the measuring instrument, a user terminal, and a product suggestion device,
The product recommendation device,
a measurement data acquisition unit that acquires measurement data from the measuring device, the measurement data including at least one of a urination volume and a urination time that are measured and stored by the measuring device while a user is using the measurement article to which the measuring device is attached;
a user information acquiring unit that acquires user information, the user information including at least personal information of the user ;
a measurement data analysis unit that analyzes the acquired measurement data and obtains an analysis result including at least the urination pattern of the user ;
a suggested product data generating unit that generates suggested product data regarding absorbent articles to be suggested to the user using the analysis results of the measurement data, the received user information, and suggested product parameters including at least a product name and a product feature ;
Equipped with
The suggested product data generation unit,
As suggested product data, product data is created that indicates suggested products including at least one of a substitute for a product used by the user and a new product ;
The user terminal includes a display unit,
The display unit displays the suggested product based on the suggested product data. The user terminal includes a questionnaire input unit,
The product recommendation device,
a proposal success rate calculation unit that analyzes a survey result, which is an input by the user to the survey input unit regarding the proposed product, and calculates a proposal success rate that indicates whether the proposed product meets the needs of the user based on an analysis result of the survey result;
a suggested product data update unit that updates the suggested product parameters for the suggested product data based on the suggestion success rate;
The product recommendation system according to claim 1 , further comprising: The product recommendation device,
a sales information recording unit for recording continuous use information regarding whether the user continues to use the suggested product;
a continuous use rate calculation unit that calculates a continuous use rate of the suggested product based on the continuous use information;
and
The product suggestion system according to claim 2 , wherein the suggested product data update unit updates the suggested product parameters based on the rate of continued use. The proposed product is an absorbent article ,
The product suggestion system according to any one of claims 1 to 3, wherein the suggested product data generation unit further derives the size and quantity of the absorbent articles required by the user in a specified period of time to generate the suggested product data. The product recommendation device,
a measurement record acquiring unit for acquiring a measurement record of the user's use of the measurement item during a measurement period;
a measurement record analysis unit that analyzes the measurement record;
Further equipped with
The product suggestion system according to claim 4 , wherein the suggested product data generation unit uses the measurement data and an analysis result of the measurement record analysis unit to derive the size and the quantity, and generates the suggested product data. the product suggestion device further includes a return history recording unit configured to record a return history of the suggested product in association with the user information when the suggested product is returned by the user;
The product suggestion system according to claim 2 or 3, wherein the suggested product data update unit updates the suggested product parameters based on the recorded return history. A user information acquisition unit that acquires user information, the user information including at least personal information of the user ;
a measurement data acquisition unit that acquires measurement data including at least one of a urination volume and a urination time measured by the measuring device while the user is using a measurement item to which the measuring device is attached, from the measuring device;
a measurement data analysis unit that analyzes the acquired measurement data and obtains an analysis result including at least the urination pattern of the user ;
a suggested product data generating unit that generates suggested product data for suggesting to the user a product related to an absorbent article to be used, based on an analysis result of the measurement data and the user information;
a proposal success rate calculation unit that analyzes a survey result regarding the proposed product of the user and calculates a proposal success rate indicating whether or not the proposed product meets the needs of the user based on the analysis result of the survey result;
a suggested product data update unit that updates suggested product parameters based on the suggestion success rate;
A product suggestion device comprising: The survey result includes continuous use information regarding whether the user continues to use the suggested product,
The product suggestion device further includes a continuous use rate calculation unit that calculates a continuous use rate of the suggested product based on the continuous use information,
The product suggestion device according to claim 7 , wherein the suggested product data update unit updates the suggested product parameters based on the rate of continuous use. The proposed product is an absorbent article,
The measurement data includes at least one of a urination volume and a urination time of the user,
The product suggestion device according to claim 7 or 8, wherein the suggested product data generation unit derives a size and a quantity of the absorbent articles required by the user in a predetermined period of time, and generates the suggested product data. A product suggestion method using a computer device,
acquiring user information, the user information including at least personal information of the user ;
a selection step of selecting a measurement object and a measuring instrument to be sent to the user based on the acquired user information;
a measurement data acquisition step of acquiring from the measuring device measurement data including at least one of a urination volume and a urination time measured and stored by the measuring device while the user is using the measurement item;
a measurement data analysis step of analyzing the acquired measurement data to obtain an analysis result including at least the urination pattern of the user ;
a suggested product data generating step of generating suggested product data for suggesting to the user, based on the analysis result of the measurement data and the user information, a product related to an absorbent article to be used by the user, the product including at least one of a substitute for a product used by the user and a new product ;
A method for suggesting products including: