Proposal device, proposal method and program

Abstract

To propose an article suitable for user's problems.SOLUTION: The proposal device comprises: a reply acceptance part for receiving answer information including a first reply to a first question about user's problems and a second reply to a second question about dietary life of the user; a first score calculation part for calculating a first score of each article corresponding to the problems on the basis of the first reply; a second score calculation part for calculating a second score for each article containing nutrition lacking in dietary life on the basis of the second reply; an article selection part for selecting, from among articles with the first score equal to or higher than a threshold, an article with high total score of the first score and the second score; and an article proposal part for outputting a proposal screen for proposing the article selected by the article selection part to the user.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to a proposal device, a proposal method, and a program. [Background technology]

[0002] For example, in mail-order sales services that sell health foods, supplements, and other products via communication networks such as the Internet, there is a technology that suggests products tailored to the customer's health condition. This type of mail-order service is also known as personalized nutrition.

[0003] For example, Patent Document 1 discloses a supplement suggestion system that selects supplements containing nutrients that the user is lacking based on the user's answers to questions about lifestyle habits, and narrows down the number of supplements containing the lacking nutrients to a predetermined range based on the user's level of concern. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-033592 Summary of the Invention [Problem to be solved by the invention]

[0005] However, in the conventional technology, there is room for proposing supplements suitable for the user's concerns. For example, in the conventional technology, supplements to be proposed to the user are selected from supplements containing nutrients that the user is lacking, so there is a risk that supplements that are not closely related to the user's concerns will be proposed.

[0006] The present disclosure aims to propose products that are suitable for a user's concerns. [Means for solving the problem]

[0007] A suggestion device according to one aspect of the present disclosure includes an answer receiving unit that receives answer information including a first answer to a first question about a user's concern and a second answer to a second question about the user's diet; a first score calculation unit that calculates a first score for each product that corresponds to the concern based on the first answer; a second score calculation unit that calculates a second score for each product that contains nutrients that are deficient in the user's diet based on the second answer; a product selection unit that selects a product with a high total score of the first score and the second score from among products whose first scores are equal to or greater than a threshold; and a product suggestion unit that outputs a suggestion screen for suggesting the products selected by the product selection unit to the user. [Effects of the Invention]

[0008] According to one aspect of the present disclosure, it is possible to suggest products that are suitable for the user's concerns. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a block diagram showing an example of the overall configuration of a sales system. [Figure 2] FIG. 2 is a block diagram illustrating an example of a hardware configuration of a computer. [Figure 3] FIG. 2 is a block diagram illustrating an example of a functional configuration of the sales system. [Figure 4] FIG. 10 is a diagram showing an example of questionnaire information. [Figure 5] FIG. 10 is a diagram showing an example of product information. [Figure 6] FIG. 10 is a diagram illustrating an example of a worry score calculation rule. [Figure 7] FIG. 10 is a diagram illustrating an example of dietary habit score calculation rules. [Figure 8] FIG. 10 is a diagram showing an example of nutrient score calculation rules. [Figure 9] FIG. 10 is a diagram illustrating an example of a total score calculation rule. [Figure 10] 10 is a flowchart illustrating an example of a proposed method. [Figure 11] FIG. 10 is a diagram showing an example of a questionnaire screen presenting a question with a single answer. [Figure 12] FIG. 10 is a diagram showing an example of a questionnaire screen presenting a question with multiple answers. [Figure 13] FIG. 10 is a diagram showing an example of a questionnaire screen presenting questions regarding the frequency of food ingredient intake. [Figure 14] FIG. 10 is a diagram showing an example of an evaluation result screen presenting a total score. [Figure 15] FIG. 10 is a diagram showing an example of an evaluation result screen presenting base comments. [Figure 16] FIG. 10 is a diagram showing an example of an evaluation result screen presenting nutrient scores. [Figure 17] FIG. 10 is a diagram showing an example of an evaluation result screen presenting nutrient scores. [Figure 18] FIG. 10 is a diagram showing an example of an evaluation result screen presenting nutrient comments. [Figure 19] FIG. 10 is a diagram showing an example of an evaluation result screen that presents comprehensive advice. [Figure 20] FIG. 10 is a diagram illustrating an example of a proposal screen that proposes a recommended plan. [Figure 21] FIG. 10 is a diagram illustrating an example of a proposal screen that proposes an alternative plan. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant description will be omitted.

[0011] [Embodiment] One embodiment of the present disclosure is a sales system that provides a mail-order service. In this embodiment, a sales system that sells products such as health foods or supplements will be described as an example. The sales system in this embodiment has a function of suggesting products suitable for users based on the health status of customers who purchase the products (in other words, users of the sales system). In other words, the sales system in this embodiment is an information processing system that realizes personalized nutrition.

[0012] Conventionally, information processing systems that realize personalized nutrition have had the problem of being difficult to accurately select products suitable for a user. For example, there is an information processing system that narrows down supplements that address a user's concerns from among supplements containing nutrients the user is deficient in, based on the user's responses to a questionnaire about the user's lifestyle habits. However, this type of information processing system selects supplements to be recommended to the user from among supplements containing nutrients the user is deficient in, so there is a risk that supplements that are not relevant to the user's concerns will be recommended. Because a user's concerns are issues that the user is strongly aware of, being recommended supplements that are not relevant to the user's concerns can discourage the user from purchasing them.

[0013] The present embodiment aims to propose products suited to the user's concerns. To this end, in this embodiment, a product to be proposed to the user (hereinafter also referred to as a "proposed product") is selected for each product based on a score related to the user's concerns (hereinafter also referred to as a "concern score") and a score related to the user's eating habits (hereinafter also referred to as an "eating habits score"). At this time, this embodiment proposes products with a high total score of the concern score and the eating habits score from among products with a concern score equal to or greater than a threshold.

[0014] In one aspect, according to this embodiment, since suggested products are selected with priority given to the score related to the user's concerns, it is possible to suggest products that are suitable for the user's concerns. In another aspect, according to this embodiment, since suggested products that are effective for the user's concerns are suggested, it is possible to suppress a decline in the user's purchasing motivation and increase product sales.

[0015] <Overall structure> The overall configuration of the sales system in this embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of the overall configuration of the sales system.

[0016] 1, the sales system 1000 includes a proposal device 10 and a terminal device 20. The proposal device 10 and the terminal device 20 are connected to each other so as to be able to communicate data with each other via a communication network N1 such as a LAN (Local Area Network) or the Internet.

[0017] The proposal device 10 is an information processing device such as a personal computer, workstation, or server that proposes products such as health foods or supplements. The proposal device 10 receives response information indicating the user's responses to a questionnaire from the terminal device 20 and selects a proposed product based on the response information. The proposal device 10 transmits a proposal screen to the terminal device 20 to propose the selected proposed product.

[0018] The terminal device 20 is an information processing terminal such as a personal computer, a tablet terminal, or a smartphone operated by a user. The terminal device 20 receives screen data for displaying a questionnaire screen from the proposal device 10 and transmits answer information entered on the questionnaire screen to the proposal device 10. The terminal device 20 receives screen data for displaying the proposal screen from the proposal device 10 and requests the proposal device 10 to purchase a product selected by the user in accordance with the user's operation on the proposal screen.

[0019] The overall configuration of the sales system 1000 shown in Fig. 1 is an example, and various system configuration examples are possible depending on the application and purpose. For example, the sales system 1000 may include multiple proposal devices 10 and one or more terminal devices 20. For example, the proposal device 10 may be realized by multiple computers, or may be realized as a cloud computing service. The classification of devices such as the proposal device 10 and terminal device 20 shown in Fig. 1 is an example.

[0020] <Hardware configuration> The hardware configuration of the sales system 1000 will be described with reference to Fig. 2. The proposal device 10 and terminal device 20 included in the sales system 1000 are realized by, for example, a computer. Fig. 2 is a block diagram showing an example of the hardware configuration of a computer.

[0021] 2, the computer 500 includes a CPU (Central Processing Unit) 501, a ROM (Read Only Memory) 502, a RAM (Random Access Memory) 503, a HDD (Hard Disk Drive) 504, an input device 505, a display device 506, a communication I / F (Interface) 507, and an external I / F 508. The CPU 501, the ROM 502, and the RAM 503 form a so-called computer. The hardware components of the computer 500 are connected to each other via a bus line 509. The input device 505 and the display device 506 may be connected to the external I / F 508 for use.

[0022] The CPU 501 is a computing device that reads programs and data from a storage device such as the ROM 502 or the HDD 504 onto the RAM 503 and executes the processes, thereby realizing the overall control and functions of the computer 500. The computer 500 may have a GPU (Graphics Processing Unit) in addition to or instead of the CPU 501.

[0023] The ROM 502 is an example of a non-volatile semiconductor memory (storage device) that can retain programs and data even when the power is turned off. The ROM 502 functions as a main storage device that stores various programs, data, etc. required for the CPU 501 to execute various programs installed in the HDD 504. Specifically, the ROM 502 stores boot programs such as a Basic Input / Output System (BIOS) and an Extensible Firmware Interface (EFI) that are executed when the computer 500 starts up, as well as data such as OS (Operating System) settings and network settings.

[0024] The RAM 503 is an example of a volatile semiconductor memory (storage device) in which programs and data are erased when the power is turned off. The RAM 503 is, for example, a dynamic random access memory (DRAM) or a static random access memory (SRAM). The RAM 503 provides a working area in which various programs installed in the HDD 504 are expanded when executed by the CPU 501.

[0025] The HDD 504 is an example of a non-volatile storage device that stores programs and data. The programs and data stored in the HDD 504 include an OS, which is basic software that controls the entire computer 500, and applications that provide various functions on the OS. Note that the computer 500 may use a storage device that uses flash memory as a storage medium (e.g., an SSD (Solid State Drive)) instead of the HDD 504.

[0026] The input device 505 includes a touch panel, operation keys and buttons, a keyboard and mouse, a microphone for inputting sound data such as voice, and the like, which are used by the user to input various signals.

[0027] The display device 506 is configured with a display such as a liquid crystal display or organic EL (Electro-Luminescence) display for displaying a screen, a speaker for outputting sound data such as voice, and the like.

[0028] The communication I / F 507 is an interface that connects to a communication network and enables the computer 500 to perform data communication.

[0029] The external I / F 508 is an interface with external devices, such as a drive device 510.

[0030] The drive device 510 is a device for loading a recording medium 511. The recording medium 511 here includes media that record information optically, electrically, or magnetically, such as a CD-ROM, a flexible disk, or a magneto-optical disk. The recording medium 511 may also include semiconductor memories that record information electrically, such as ROMs and flash memories. This allows the computer 500 to read from and / or write to the recording medium 511 via the external I / F 508.

[0031] The various programs to be installed in the HDD 504 are installed, for example, by setting the distributed recording medium 511 in a drive device 510 connected to the external I / F 508 and reading out the various programs recorded on the recording medium 511 by the drive device 510. Alternatively, the various programs to be installed in the HDD 504 may be installed by being downloaded via the communication I / F 507 from a network different from the communication network.

[0032] <Functional configuration> The functional configuration of the sales system 1000 will be described with reference to Fig. 3. Fig. 3 is a block diagram showing an example of the functional configuration of the sales system.

[0033] ≪Proposed device≫ 3, the proposal device 10 includes a questionnaire storage unit 101, a product information storage unit 102, a rule storage unit 103, an advice storage unit 104, a questionnaire presentation unit 110, an answer reception unit 120, an answer evaluation unit 130, a product selection unit 140, and a product proposal unit 150. The answer evaluation unit 130 includes a concern score calculation unit 131, a dietary habit score calculation unit 132, a nutrient score calculation unit 133, and a total score calculation unit 134. The concern score calculation unit 131 is an example of a first score calculation unit. The dietary habit score calculation unit 132 is an example of a second score calculation unit.

[0034] The questionnaire storage unit 101, the product information storage unit 102, the rule storage unit 103, and the advice storage unit 104 are realized by the HDD 504 shown in FIG.

[0035] The questionnaire presentation unit 110, response reception unit 120, response evaluation unit 130, product selection unit 140, and product proposal unit 150 are realized by processing executed by the CPU 501 of a program expanded from the HDD 504 shown in FIG. 2 onto the RAM 503.

[0036] The questionnaire storage unit 101 stores questionnaire information in advance. The questionnaire information is electronic data indicating a questionnaire to be presented to the user. In this embodiment, the questionnaire information may include predetermined questions and answer options for each question. The questions may include questions about the user's concerns and questions about the user's eating habits. The questions may include mandatory questions and optional questions.

[0037] The questions may include single-answer questions and multiple-answer questions. For example, a single-answer question is a question that asks the respondent to select the most appropriate answer from multiple answer options. For example, a multiple-answer question is a question that asks the respondent to select multiple applicable answers from multiple answer options. A multiple-answer question may also be a question that asks the respondent to rank the selected multiple options.

[0038] The product information storage unit 102 stores product information about products to be suggested in advance. In this embodiment, the products to be suggested are supplements. However, the products to be suggested are not limited to supplements and may be, for example, health foods.

[0039] The rule storage unit 103 stores rule information in advance. The rule information is electronic data indicating rules for calculating scores used to evaluate a user's answers to a questionnaire. In this embodiment, the scores used for evaluation may include, for example, a worry score, a dietary habit score, a nutrient score, and a total score. For example, the rule storage unit 103 may store worry score calculation rules for calculating the worry score, dietary habit score calculation rules for calculating the dietary habit score, nutrient score calculation rules for calculating the nutrient score, and total score calculation rules for calculating the total score.

[0040] The worry score is a score indicating the degree of the user's worry for each predetermined worry category. Examples of worry categories include beauty, intestinal regulation, antioxidants, cognitive function, eye health, sleep, joints, blood lipid control, stress, dieting, fatigue recovery, and calcium supplementation. The worry categories are not limited to these, and any category may be set depending on the characteristics of the product. The worry score is an example of a first score.

[0041] The dietary score indicates the degree to which a specific product is recommended based on the user's diet. The dietary score may be higher for a product containing nutrients that are lacking in the user's diet. The dietary score may also be higher for a product containing nutrients that should be replenished through the user's lifestyle. Examples of nutrients used to calculate the dietary score may include elastin, proteoglycan, milk oligosaccharide, resveratrol, coenzyme Q10, phosphatidylserine, lutein, EPA, B vitamins, calcium, etc. Examples of lifestyle habits used to calculate the dietary score may include daily exercise amount, job content (such as work using a computer or standing work), sleep time, weight change, smoking status, or drinking status. The dietary score is an example of a second score.

[0042] The nutrient score is a score indicating the sufficiency of a predetermined nutrient. Examples of the predetermined nutrients include minerals, vitamins, calcium, n-3 fatty acids, green and yellow vegetables, protein, vitamin ACE, dietary fiber, lipids, and carbohydrates. Examples of minerals may include calcium, potassium, magnesium, iron, and zinc. Examples of vitamins may include vitamin A, B vitamins, vitamin C, vitamin D, and folic acid. The nutrients are not limited to these, and any nutrient may be set depending on the characteristics of the product. The predetermined nutrients may be the same as the nutrients used to calculate the dietary score, may be different, or may have some in common. The sufficiency may be expressed as a numerical value or a class. The sufficiency classes may include, for example, six levels: "excess," "slightly excess," "sufficient," "adequate," "slightly deficient," and "deficient."

[0043] The overall score is a score obtained by statistically processing predetermined evaluation indices related to the user's eating habits. Examples of the evaluation indices include regularity, food variety, dietary quality, and lifestyle habits. Examples of the statistical processing of the evaluation indices include an average or weighted average. The evaluation indices are not limited to these, and any evaluation indices may be set depending on the characteristics of the product.

[0044] Advice information is pre-stored in the advice storage unit 104. The advice information is electronic data indicating advice on health conditions (e.g., dietary habits, etc.). The advice information may be created in advance by a person with specialized knowledge (e.g., a registered dietitian or a doctor, etc.). The advice information may be created for each worry category, nutrient, and evaluation index. The advice information for each nutrient may include advice information according to the sufficiency of the nutrient.

[0045] The questionnaire presentation unit 110 generates screen data for displaying a questionnaire screen and transmits it to the terminal device 20. The questionnaire screen is embedded with questionnaire information stored in the questionnaire storage unit 101. The questionnaire screen may be divided into multiple screens, each embedded with one or more questions and answer options for the questions.

[0046] The answer receiving unit 120 receives input of answer information indicating a user's answer to a questionnaire. The answer receiving unit 120 may receive the answer information by receiving the answer information from the terminal device 20. The answer receiving unit 120 may receive the answer information by reading out electronic data indicating the answer information input to the input device 505.

[0047] The answer information is electronic data indicating answer options selected by the user for questions included in the questionnaire. In other words, the answer information may be electronic data including answers to questions about the user's concerns and answers to questions about the user's eating habits. In this embodiment, the answer information may indicate the user's answers to all questions included in the questionnaire presented to the user. However, if the questionnaire includes optional questions, the answer information does not need to include answers to questions that the user did not answer.

[0048] The answer evaluation unit 130 evaluates the user's answers to the questionnaire based on the answer information received by the answer receiving unit 120. The answer evaluation unit 130 may calculate multiple scores to be used for evaluation based on the answer information. In this embodiment, the answer evaluation unit 130 may calculate a worry score, a dietary habit score, a nutrient score, and a total score based on the answer information.

[0049] The concern score calculation unit 131 calculates the concern score for each product based on the concern score calculation rules stored in the rule storage unit 103. The concern score calculation unit 131 may calculate the concern score based on the user's answer to the question about the concern, among the answer information received by the answer receiving unit 120.

[0050] The dietary habit score calculation unit 132 calculates the dietary habit score for each product based on the dietary habit score calculation rules stored in the rule storage unit 103. The dietary habit score calculation unit 132 may calculate the dietary habit score based on the user's answers to questions about dietary habits, among the answer information accepted by the answer accepting unit 120.

[0051] The nutrient score calculation unit 133 calculates the nutrient score for each nutrient based on the nutrient score calculation rules stored in the rule storage unit 103. The nutrient score calculation unit 133 may calculate the nutrient score based on the user's answer to the question about dietary habits, among the answer information accepted by the answer accepting unit 120.

[0052] The overall score calculation unit 134 calculates predetermined evaluation indexes and an overall score based on the overall score calculation rules stored in the rule storage unit 103. The overall score calculation unit 134 may calculate multiple evaluation indexes based on the answer information received by the answer receiving unit 120, and calculate the overall score by statistical processing of the evaluation indexes. For example, the overall score calculation unit 134 may calculate the average value of the multiple evaluation indexes as the overall score.

[0053] The product selection unit 140 selects suggested products from the product information read from the product information storage unit 102, based on the scores calculated by the answer evaluation unit 130. The product selection unit 140 may select suggested products from the product information, based on the worry scores calculated by the worry score calculation unit 131 and the dietary habit scores calculated by the dietary habit score calculation unit 132.

[0054] In this embodiment, the product selection unit 140 may select, as a suggested product, a product having a high total score of the worry score and the dietary habit score from among products having a worry score equal to or greater than a threshold. The threshold may be set to any positive number, and may be 1, for example. In other words, the product selection unit 140 may not select a product that is not related to the user's worry (i.e., has a worry score of 0), even if the product contains nutrients that are lacking in the user's diet.

[0055] The product selection unit 140 may select as suggested products a product group containing a predetermined number of products in descending order of total score. The number of products to be selected may be set to any natural number, and may be six, for example. The product selection unit 140 may select as suggested products multiple product groups containing different numbers of products. Hereinafter, a product group containing multiple products will also be referred to as a "plan."

[0056] The product suggestion unit 150 generates screen data for displaying an evaluation result screen, a suggestion screen, and a purchase screen, and transmits the data to the terminal device 20. The evaluation result screen is a screen for presenting the results of evaluating the user's answers to the questionnaire. The suggestion screen is a screen for suggesting products to the user. The purchase screen is a screen for the user to purchase products.

[0057] The product proposal unit 150 embeds the score calculated by the response evaluation unit 130 and the advice read from the advice storage unit 104 based on the score into the evaluation result screen. The product proposal unit 150 embeds proposal information regarding the proposed product selected by the product selection unit 140 into the proposal screen.

[0058] Terminal Device As shown in FIG. 3, the terminal device 20 includes a questionnaire display unit 210, a response sending unit 220, and a proposal display unit 230.

[0059] The questionnaire display unit 210, the response sending unit 220, and the proposal display unit 230 are realized by the processing that the CPU 501 executes by a program loaded onto the RAM 503 from the HDD 504 shown in FIG.

[0060] The questionnaire display unit 210 receives screen data for displaying a questionnaire screen from the proposal device 10. The questionnaire display unit 210 outputs a questionnaire screen to the display device 506 based on the received screen data.

[0061] The response sending unit 220 acquires the user's response to the questionnaire in response to the user's operation on the questionnaire screen, and sends the acquired response information indicating the questionnaire response to the proposal device 10.

[0062] The proposal display unit 230 receives screen data for displaying the evaluation result screen, the proposal screen, and the purchase screen from the proposal device 10. The proposal display unit 230 outputs the evaluation result screen, the proposal screen, and the purchase screen to the display device 506 based on the received screen data.

[0063] <<Survey Information>> 4 is a diagram showing an example of questionnaire information. As shown in FIG. 4, the questionnaire information may include, for example, 26 questions. The questions can be classified, for example, into questions about the user's concerns, questions about the user's lifestyle, questions about the user's diet, and questions about the user themselves.

[0064] Questions regarding the user's concerns may include, by way of example, the following questions: (No.1) How many hours of sleep do you get on average? (No.2) Are you satisfied with the quality of your sleep? (No.3) Has your weight changed in the past year? (No.4) What would you like to do about your current weight? (No.5) How is your bowel movement? (No.6) Please select at least four of your ideal situations in order of most appropriate. (No.7) Please choose the most appropriate answer to describe your current situation.

[0065] Questions regarding the user's lifestyle may include, by way of example, the following questions: (No.8) Do you always eat your meals at regular times? (No.9) Do you ever eat dinner or a late-night snack within two hours of going to bed? (No.10) Do you exercise regularly? (No.11) Do you smoke cigarettes regularly? (No.12) Do you drink alcohol regularly? (No.13) Do you drink more alcohol than you should at one time? (No.14) Which of the following best describes your work style? (No.15) Do you take supplements on a regular basis? (No.16) Is there anything you do in particular to stay healthy?

[0066] Questions regarding the user's diet may include, by way of example, the following questions: (No.17) Are you eating a balanced diet? (No.18) Do you habitually eat staple foods (rice, bread, noodles)? (No.19) How often do you eat the following foods? (No. 19-1) Multigrain rice, brown rice, whole wheat flour (No.19-2) Meat (No.19-3) Blue fish such as mackerel and yellowtail (No.19-4) Other fish (No.19-5) Soybeans and soybean products (No.19-6) Eggs (No.19-7) Green vegetables (spinach, komatsuna, etc.) (No.19-8) Other vegetables (No.19-9) Mushrooms and seaweed (No.19-10) Fruit (No.19-11) Milk and Dairy Products (No.19-12) Nuts (No.19-13) Instant foods, frozen foods (No.19-14) Fried food (No.19-15) Single dishes (rice bowls and noodles) (No.19-16) Sweets and after-meal desserts (No. 19-17) Sugary drinks (soft drinks, sports drinks, etc.) (No.20) How much milk do you drink per day? (No.21) How many servings of vegetable food do you eat per day? (No. 22) Please tell us when you habitually eat out, eat prepared meals, or buy pre-made bento boxes.

[0067] Questions about the user themselves may include, by way of example, the following questions: (No.23) What is your height? (No.24) What is your weight? (No.25) What year did you live in? (No.26) What is your gender?

[0068] Each question has predetermined answer options. Each question is predetermined to be answered with a single answer or multiple answers. A multiple answer question may be a question that prompts the user to rank the worry options. For example, "(No. 6) Please select four or more that apply to your ideal state in order of application" and "(No. 7) Please select your current state in order of application" are examples of questions that prompt the user to rank the worry options. In this embodiment, No. 6 and No. 7 are multiple answer questions, and the others are single answer questions.

[0069] A question may include a question that contains multiple subquestions. A question that contains subquestions may be a question about the frequency of food intake. For example, "(No. 19) How often do you eat the following foods?" is an example of a question about the frequency of food intake. "(No. 19-1) Multigrain rice, brown rice, whole wheat flour" to "(No. 19-17) Sugary drinks (soft drinks, sports drinks, etc.)" are examples of food ingredients that prompt respondents to answer the frequency of intake.

[0070] ≪Product information≫ FIG. 5 is a diagram showing an example of product information. The product information shown in FIG. 5 is an example of product information related to supplements. As shown in FIG. 5, the product information in this embodiment includes data items such as the product name, ingredient name, number of pills, and characteristics. The ingredient name is the main nutrient contained in the product. The number of pills is the recommended amount to be taken in a specified time unit (e.g., one day). The characteristics are the main effects obtained by taking the product.

[0071] <<Worry score calculation rules>> Fig. 6 is a diagram showing an example of the worry score calculation rules. As shown in Fig. 6, the worry score calculation rules are rules that determine, for each answer option to a question about a worry, the number of points to be added to the worry score of a product associated with the worry category indicated by that option when that option is selected. Note that Fig. 6 shows the worry score calculation rules for some questions, but worry score calculation rules may be determined for other questions.

[0072] One or more products may be associated with a concern category in advance. A product associated with a concern category may be a product containing nutrients that are effective for the concern category. A plurality of products may be associated with a concern category.

[0073] For example, in the example shown in Figure 6, if the user selects "No" in response to the question "(No. 2) Are you satisfied with the quality of your sleep?", 4 points will be added to the worry score of "Product ζ" associated with "Concern F."

[0074] In multiple-choice questions, it is advisable to give a higher score to the higher ranking selected by the user. In Figure 6, black circles (●) are used to indicate products that will receive scores according to the ranking selected by the user. For example, suppose the user answers four options in response to the question, "(No. 6) Please select at least four options in order that best describe your ideal state." In this case, for the option the user ranked first, four points may be added to the worry score of the product marked with a black circle; for the option the user ranked second, three points may be added to the worry score of the product marked with a black circle; for the option the user ranked third, two points may be added to the worry score of the product marked with a black circle; and for the option the user ranked fourth, one point may be added to the worry score of the product marked with a black circle.

[0075] The worry score is calculated by determining a score for each question in the questionnaire according to the answer options selected by the user in accordance with the worry score calculation rules. The sum of the scores determined for all questions for each product is the worry score for each product.

[0076] <Dietary Score Calculation Rules> Fig. 7 is a diagram showing an example of dietary score calculation rules. As shown in Fig. 7, the dietary score calculation rules are rules that determine, for each answer option to a question about diet, the number of points to be added to the dietary score of a product containing a nutrient that is lacking in the diet indicated by that option when that option is selected. Note that Fig. 7 shows dietary score calculation rules for some questions, but dietary score calculation rules may be determined for other questions.

[0077] For example, in the example shown in Figure 7, if the user selects the answer "I hardly ever eat it" in response to the question "(No. 19-2) Meat," one point will be added to the worry score for each of "Product α" associated with "Problem A," "Product η" associated with "Problem G," and "Product λ" associated with "Problem K."

[0078] The dietary score calculation rule may be a rule that determines the number of points to be added to the dietary score of a product for a question for which no concern score calculation rule is defined. The dietary score calculation rule may be a rule that determines the number of points to be added to the dietary score of a product for a question for which a concern score calculation rule is defined, but which differs from the concern score calculation rule. For example, the dietary score calculation rule shown in FIG. 7 indicates that if a user selects "No" in response to the question "(No. 2) Are you satisfied with the quality of your sleep?", one point is added to the dietary score of "Product ι" associated with "Concern I" and "Product λ" associated with "Concern K." Note that the concern score calculation rule shown in FIG. 6 indicates that in this case, four points are added to the concern score of "Product ζ" associated with "Concern F."

[0079] The dietary score is calculated by determining a score for each question in the questionnaire according to the answer options selected by the user in accordance with the dietary score calculation rules. The total score for each product determined for all questions is the dietary score for each product.

[0080] <Nutrient score calculation rules> Figure 8 is a diagram showing an example of nutrient score calculation rules. As shown in Figure 8, the nutrient score calculation rules are rules that determine, for each answer option to a question about dietary habits, the number of points to be added to the nutrient score of the nutrients that can be ingested through that option when that option is selected. Note that Figure 8 shows nutrient score calculation rules for some questions, but nutrient score calculation rules may be determined for other questions.

[0081] For example, the nutrient score calculation rules shown in Figure 8 indicate that if the user selects the answer "I eat it at least two times almost every day" in response to the question "(No. 19-2) Meat," 5 points will be added to the nutrient scores of "Mineral alpha," "Mineral beta," "Vitamin alpha," "Vitamin beta," and "Protein," and 10 points will be added to the nutrient score of "Fat."

[0082] The nutrient score is calculated by determining a score for each question in the questionnaire according to the answer options selected by the user in accordance with the nutrient score calculation rules. The total score for each nutrient is calculated by adding up the scores for all questions.

[0083] Note that a nutrient may be a nutrient category that includes multiple nutrients. Figure 8 shows minerals and vitamins as nutrient categories. The nutrient score for a nutrient category may be the sum of the nutrient scores of the nutrients included in the nutrient category. In the example shown in Figure 8, the nutrient score for minerals may be the sum of the nutrient scores for mineral α, mineral β, etc.

[0084] <<Overall Score Calculation Rules>> Fig. 9 is a diagram showing an example of the overall score calculation rules. As shown in Fig. 9, the overall score calculation rules are rules that determine the number of points to be added to each evaluation index when each answer option to a question included in a questionnaire is selected. Note that Fig. 9 shows the overall score calculation rules for some questions, but overall score calculation rules may be determined for other questions.

[0085] For example, the overall score calculation rule shown in Figure 9 indicates that if the user answers "Yes" to the question "(No. 10) Do you exercise regularly?", 4 points will be added to the evaluation index for "lifestyle habits." On the other hand, if the user answers "No" to question No. 10, 1 point will be added to the evaluation index for "lifestyle habits."

[0086] In calculating the evaluation index, for each question included in the questionnaire, a score is determined according to the answer option selected by the user according to the overall score calculation rules. The sum of the scores determined for all questions for each evaluation index becomes each evaluation index. The average value of each evaluation index becomes the overall score.

[0087] <Processing Procedure> The proposal method executed by the sales system 1000 will be described with reference to Fig. 10. Fig. 10 is a flowchart showing an example of the proposal method.

[0088] In step S1, the questionnaire display unit 210 of the terminal device 20 accepts an operation for displaying a questionnaire screen by a user. The questionnaire display unit 210 transmits a request for acquiring a questionnaire screen to the proposal device 10.

[0089] The operation for displaying the questionnaire screen is, for example, an operation by the user indicating that he / she wishes to purchase a product. Specifically, the operation may be an operation of pressing a button or a banner provided on the screen output by the proposal device 10.

[0090] In the proposal device 10, the questionnaire presentation unit 110 receives a request to acquire a questionnaire screen from the terminal device 20. The questionnaire presentation unit 110 reads out questionnaire information from the questionnaire storage unit 101. The questionnaire presentation unit 110 generates screen data for displaying the questionnaire screen based on the questionnaire information. The questionnaire presentation unit 110 transmits the screen data to the terminal device 20.

[0091] In the terminal device 20, the questionnaire display unit 210 receives the screen data from the proposal device 10. The questionnaire display unit 210 outputs a questionnaire screen to the display device 506 based on the received screen data.

[0092] 11 is a diagram showing an example of a questionnaire screen presenting a single-answer question. As shown in FIG. 11, questionnaire screen 300-1 has question 301-1, option 302-1, question 301-2, option 302-2, next button 303, and back button 304. Questions 301-1 and 301-2 are both single-answer questions. Options 302-1 and 302-2 are answer options for questions 301-1 and 301-2, respectively.

[0093] Although two sets of combinations of questions 301 and options 302 are displayed on the questionnaire screen 300-1, any number of combinations of questions 301 and options 302 may be displayed on one screen.

[0094] For single-answer questions 301, only one option is selectable from options 302. Next button 303 may be controlled to be pressable when any option is selected from options 302 for all questions 301 displayed on questionnaire screen 300-1.

[0095] When the user presses the Next button 303, the survey screen 300-1 confirms the answer to the question 301 as the option selected in the options 302 and transitions to the next page. When the user presses the Back button 304, the survey screen 300-1 discards the option selected in the options 302 and transitions to the previous page.

[0096] 12 is a diagram showing an example of a survey screen presenting a question that allows multiple answers. As shown in FIG. 12, survey screen 300-2 has question 301-3, options 302-3, a next button 303, and a back button 304. Question 301-3 is a question that allows multiple answers. Options 302-3 are options for answers to question 301-3.

[0097] In multiple-choice question 301-3, multiple options are controlled to be selectable from options 302-3. Options 302-3 allow the selected options to be ranked. Next button 303 may be controlled to be pressable when a predetermined number of options have been selected from options 302 for question 301-3 displayed on questionnaire screen 300-2.

[0098] Fig. 13 is a diagram showing an example of a questionnaire screen presenting questions about the intake frequency of ingredients. As shown in Fig. 13, questionnaire screen 300-3 has question 301-4, ingredients 301-5, options 302-5, a next button 303, and a back button 304. Question 301-4 is a question about the intake frequency of ingredients. Options 302-5 are options that indicate the intake frequency of each of ingredients 301-5.

[0099] In question 301-4 about the frequency of food intake, one option from options 302-5 for the frequency of intake is selectable for each food ingredient 301-5. Next button 303 may be controlled to be pressable when one option from options 302-5 is selected for all food ingredients 301-5 displayed on questionnaire screen 300-3.

[0100] Returning to FIG. 10 , in step S2, the response sending unit 220 of the terminal device acquires the user's response to the questionnaire in response to the user's operation on the questionnaire screen. The response sending unit 220 generates response information indicating the acquired user's response. The response sending unit 220 transmits the response information to the proposal device 10.

[0101] In the proposal device 10, the answer receiving unit 120 receives answer information from the terminal device 20. The answer receiving unit 120 receives input of the received answer information. The answer receiving unit 120 sends the received answer information to the answer evaluation unit .

[0102] In step S3, the answer evaluation unit 130 of the proposal device 10 receives answer information from the answer receiving unit 120. The answer evaluation unit 130 reads out the worry score calculation rules from the rule storage unit 103. The answer evaluation unit 130 inputs the answer information and the worry score calculation rules to the worry score calculation unit 131.

[0103] The concern score calculation unit 131 calculates a concern score for each product based on the input answer information and the concern score calculation rules. The concern score calculation unit 131 sends the concern score for each product to the product selection unit 140.

[0104] In step S4, the answer evaluation unit 130 of the proposal device 10 reads out the dietary lifestyle score calculation rules from the rule storage unit 103. The answer evaluation unit 130 inputs the answer information and the dietary lifestyle score calculation rules to the dietary lifestyle score calculation unit 132.

[0105] The dietary habit score calculation unit 132 calculates the dietary habit score for each product based on the input answer information and the dietary habit score calculation rules. The dietary habit score calculation unit 132 sends the dietary habit score for each product to the product selection unit 140.

[0106] In step S5, the answer evaluation unit 130 of the proposal device 10 reads out the nutrient score calculation rules from the rule storage unit 103. The answer evaluation unit 130 inputs the answer information and the nutrient score calculation rules to the nutrient score calculation unit 133.

[0107] The nutrient score calculation unit 133 calculates the nutrient score for each nutrient based on the input response information and the nutrient score calculation rules. The nutrient score calculation unit 133 sends the nutrient score for each nutrient to the product suggestion unit 150.

[0108] In step S6, the answer evaluation unit 130 of the proposal device 10 reads out the total score calculation rule from the rule storage unit 103. The answer evaluation unit 130 inputs the answer information and the total score calculation rule to the total score calculation unit 134.

[0109] The overall score calculation unit 134 calculates multiple evaluation indexes based on the input response information and the overall score calculation rules. The overall score calculation unit 134 calculates an overall score by averaging the multiple evaluation indexes. The overall score calculation unit 134 sends the multiple evaluation indexes and the overall score to the product proposal unit 150.

[0110] In step S7, the product selection unit 140 of the proposal device 10 receives the worry score for each product from the worry score calculation unit 131. The product selection unit 140 also receives the dietary habit score for each product from the dietary habit score calculation unit 132. The product selection unit 140 calculates a total score for each product by adding the worry score and the dietary habit score for each product.

[0111] The product selection unit 140 reads product information from the product information storage unit 102. The product selection unit 140 extracts products whose concern scores are equal to or greater than a threshold from the product information. The product selection unit 140 sorts the extracted product information in descending order of total score. The product selection unit 140 extracts a predetermined number of pieces of product information from the top of the sorted product information. The product selection unit 140 sends proposal information including the extracted product information to the product proposal unit 150. The product selection unit 140 may be configured to always include product information about one or more predetermined products in the proposal information regardless of the total score.

[0112] In step S8, the product proposal unit 150 of the proposal device 10 receives the nutrient score for each nutrient from the nutrient score calculation unit 133. In addition, the product proposal unit 150 receives the multiple evaluation indexes and the overall score from the overall score calculation unit 134.

[0113] Based on each evaluation index and the overall score, the product proposal unit 150 reads out advice information from the advice storage unit 104. The product proposal unit 150 may classify the user's health condition based on the magnitude of each evaluation index value, and read out advice information according to the health condition.

[0114] The product proposal unit 150 may read out advice information based on the worry score. As an example, the product proposal unit 150 may read out advice information related to the worry category with the highest worry score. When there are multiple pieces of advice information related to a worry category, the product proposal unit 150 may read out advice information randomly selected from the pieces of advice information.

[0115] The product proposal unit 150 reads out advice information from the advice storage unit 104 based on the nutrient score for each nutrient. The product proposal unit 150 may evaluate the sufficiency of the nutrient based on the magnitude of the nutrient score value and read out advice information according to the sufficiency. When there are multiple pieces of advice information according to the sufficiency, the product proposal unit 150 may read out advice information randomly selected from them.

[0116] The product proposal unit 150 generates screen data for displaying the evaluation result screen based on the read advice information, and transmits the screen data to the terminal device 20.

[0117] In the terminal device 20, the proposal display unit 230 receives the screen data from the proposal device 10. Next, the proposal display unit 230 outputs an evaluation result screen to the display device 506 based on the received screen data.

[0118] 14 is a diagram showing an example of an evaluation result screen that presents a total score. As shown in FIG. 14, an evaluation result screen 310-1 displays a total score 311, an evaluation index 312, and a details button 313.

[0119] The overall score 311 is the overall score calculated in step S6. The evaluation indexes 312 are the individual evaluation indexes calculated in step S6. The evaluation indexes 312 may be visualized as a radar chart or the like, showing the balance of the individual evaluation indexes. When the user presses the details button 313, a basic comment regarding the user's health condition is displayed. The basic comment may include advice based on the results of a comprehensive evaluation of the user's health condition.

[0120] 15 is a diagram showing an example of an evaluation result screen 310-2 presenting a base comment. As shown in FIG. 15, an evaluation result screen 310-2 displays a total score 321, a base comment 322, and an evaluation comment 323.

[0121] The total score 321 is the total score calculated in step S6. The base comment 322 is advice information related to the worry category with the highest worry score calculated in step S3. The evaluation comment 323 is advice information read out based on the evaluation index calculated in step S6.

[0122] 15 displays only the evaluation comment 323 related to "regularity," the evaluation result screen 310-2 may also display evaluation comments related to evaluation indices other than "regularity." For example, evaluation comments related to other evaluation indices may be displayed at the bottom of the screen and may be viewable by scrolling the evaluation result screen 310-2.

[0123] 16 is a diagram showing an example of an evaluation result screen presenting nutrient scores. As shown in Fig. 16, the evaluation result screen 310-3 displays vitamin intake adequacy 331, vitamin nutrient score 332, mineral intake adequacy 333, and mineral nutrient score 334.

[0124] Vitamin intake adequacy 331 is a link that displays advice according to the vitamin sufficiency. Vitamin nutrient score 332 is the vitamin nutrient score calculated in step S5. Mineral intake adequacy 333 is a link that displays advice according to the mineral sufficiency. Mineral nutrient score 334 is the mineral nutrient score calculated in step S5.

[0125] 17 is a diagram showing an example of an evaluation result screen that presents nutrient scores. As shown in Fig. 17, the evaluation result screen 310-4 displays nutrients 341 and a sufficiency level 342 for each predetermined nutrient.

[0126] Nutrient 341 is a predetermined nutrient. Sufficiency 342 is a sufficiency evaluated based on the nutrient score of nutrient 341. Sufficiency 342 is a link that displays a nutrient comment according to the sufficiency of nutrient 341. The nutrient comment may include advice based on the results of evaluating the intake status of the nutrient.

[0127] Fig. 18 is a diagram showing an example of an evaluation result screen that presents nutrient comments. As shown in Fig. 18, the evaluation result screen 310-5 displays a nutrient description 351, a nutrient score 352, a nutrient sufficiency 353, and a nutrient comment 354. Fig. 18 shows an example of presenting advice about vitamins.

[0128] Nutrient description 351 is a sentence predetermined for each nutrient. Nutrient score 352 is the nutrient score calculated in step S5. Sufficiency 353 is the sufficiency evaluated based on nutrient score 352. Nutrient comment 354 is advice information read out based on sufficiency 353.

[0129] Fig. 19 is a diagram showing an example of an evaluation result screen that presents comprehensive advice. As shown in Fig. 19, the evaluation result screen 310-6 displays comprehensive advice 361. The comprehensive advice 361 is advice information that is read out based on each evaluation index and the comprehensive score.

[0130] Returning to FIG. 10 , in step S9, the product proposal unit 150 of the proposal device 10 receives a request to acquire a proposal screen from the terminal device 20. The product proposal unit 150 generates screen data for displaying the proposal screen. The screen data includes the proposal information generated in step S7. The product proposal unit 150 transmits the screen data to the terminal device 20.

[0131] In the terminal device 20, the proposal display unit 230 receives the screen data from the proposal device 10. Next, the proposal display unit 230 outputs a proposal screen to the display device 506 based on the received screen data.

[0132] 20 is a diagram showing an example of a proposal screen that proposes a recommended plan. As shown in Fig. 20, the proposal screen 320-1 displays a recommended plan 371. The recommended plan 371 includes a suggested product 372, a base product 373, and a details button 374.

[0133] The suggested products 372 are a predetermined number of products selected based on the total score. The suggested products 372 are displayed higher (at the top of the screen) as the total score increases. The base products 373 are one or more predetermined products. The base products 373 are always included in the recommended plan 371 regardless of the total score. The base products 373 may be displayed lower than the suggested products 372 (at the bottom of the screen). When the user presses the details button 374, a screen showing descriptions of the products included in the recommended plan 371 is displayed.

[0134] Fig. 21 is a diagram showing an example of a proposal screen that proposes an alternative plan. As shown in Fig. 21, proposal screen 320-2 displays alternative plans 381 and 382. Alternative plans 381 and 382 are plans that include different numbers of suggested products from the recommended plan.

[0135] The proposal screen 320-2 may display a comprehensive plan 381 and an easy plan 382. The comprehensive plan 381 is a plan that has more proposed products than the recommended plan. The easy plan 382 is a plan that has fewer proposed products than the recommended plan. Both the comprehensive plan 381 and the easy plan 382 may include the same base products as the recommended plan.

[0136] Returning to FIG. 10 , in step S10, the product proposal unit 150 of the proposal device 10 receives a request to acquire a purchase screen from the terminal device 20. The product proposal unit 150 generates screen data for displaying the purchase screen. The product proposal unit 150 transmits the screen data to the terminal device 20.

[0137] In the terminal device 20, the proposal display unit 230 receives the screen data from the proposal device 10. Next, the proposal display unit 230 outputs a purchase screen to the display device 506 based on the received screen data. The user performs a product purchase procedure on the purchase screen. The purchase procedure includes, for example, inputting a shipping address, a payment method, etc.

[0138] <Effects> The suggestion device 10 in this embodiment calculates a concern score for each product corresponding to the concern based on the user's answers to questions about the concern, calculates a dietary score for each product containing nutrients that are lacking in the user's diet based on the user's answers to questions about the user's diet, and outputs a suggestion screen to suggest to the user products with a concern score above a threshold and a high total score of the concern score and dietary score.

[0139] In one aspect, according to this embodiment, since suggested products are selected with priority given to the problem score, it is possible to suggest products that are suitable for the user's problem. In another aspect, according to this embodiment, since suggested products that are effective for the user's problem are suggested, it is possible to prevent a decline in the user's purchasing motivation and increase product sales.

[0140] The suggestion screen may display products in descending order of total score. The suggestion screen may display a group of products including a predetermined number of products with high total scores. According to this embodiment, products that are more suitable for the user are displayed in a position that makes them easier to see, thereby fostering the user's interest in the products.

[0141] The proposal screen may display multiple product groups each including a different number of products. According to this embodiment, the user receives product proposals in a variety of plans, and can purchase products in a plan that suits the user's convenience.

[0142] The questions about the user's concerns may include a question that prompts the user to rank each of predetermined concerns. According to this embodiment, the user can intuitively answer questions about their concerns, so that products suitable for the user's concerns can be efficiently suggested.

[0143] The questions about the user's diet may include a question about the frequency of intake of each predetermined food ingredient. According to this embodiment, the user can answer questions about their diet with simple operations, so that products containing nutrients that are lacking in the user's diet can be efficiently suggested.

[0144] The proposal device 10 may display advice according to the user's answers to the questionnaire, and then output a proposal screen in response to a user operation. According to this embodiment, the user receives a product proposal after checking the advice according to the answers to the questionnaire, so that a product that is highly satisfactory to the user can be proposed.

[0145] The product may be a supplement. According to this embodiment, it is possible to propose a supplement suitable for the user.

[0146] [supplement] Each function of the above-described embodiments can be realized by one or more processing circuits. Here, the term "processing circuit" in this specification includes a processor programmed to execute each function by software, such as a central processing unit (CPU) or a graphics processing unit (GPU) implemented by an electronic circuit, as well as devices such as an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), and conventional circuit modules designed to execute each of the above-described functions.

[0147] Although the embodiments of the present invention have been described in detail above, the present invention is not limited to these embodiments, and various modifications and changes are possible within the scope of the gist of the present invention described in the claims. [Explanation of symbols]

[0148] 1000 Sales System 10 Proposed device 101 Questionnaire memory section 102 Product information storage section 103 Rule storage 104 Advice Memory Unit 110 Questionnaire presentation section 120 Response Reception Department 130 Answer Evaluation Section 131 Worry Score Calculation Department 132 Dietary Score Calculation Section 133 Nutrient Score Calculation Section 134 Total Score Calculation Section 140 Product Selection Section 150 Product proposal department 20 Terminal equipment 210 Questionnaire display section 220 Reply Sending Department 230 Suggestion display area

Claims

1. an answer receiving unit configured to receive answer information including a first answer to a first question about a user's concern and a second answer to a second question about the user's eating habits; a first score calculation unit configured to calculate a first score for each product corresponding to the concern based on the first answer; a second score calculation unit configured to calculate a second score for each product containing a nutrient that is deficient in the diet based on the second answer; and a product selection unit configured to select a product having a high total score of the first score and the second score from among the products having the first score equal to or greater than a threshold; a product suggestion unit configured to output a suggestion screen for suggesting the product selected by the product selection unit to the user; The proposed device comprises:

2. The proposal device according to claim 1, the proposal screen displays the products in descending order of the total score, Proposed device.

3. The proposal device according to claim 2, the proposal screen displays a group of products including a predetermined number of the products having a high total score, Proposed device.

4. The proposal device according to claim 3, the proposal screen displays a plurality of product groups each including a different number of products; Proposed device.

5. 5. The proposal device according to claim 1, The first question includes a question that prompts the user to rank options for predetermined worries. Proposed device.

6. 5. The proposal device according to claim 1, the second questions include a question prompting the respondent to answer about the frequency of intake of each predetermined food ingredient; Proposed device.

7. 5. The proposal device according to claim 1, The product proposal unit outputting an evaluation result screen that displays advice according to the answer information; The proposal screen is output in response to an operation by the user on the evaluation result screen. Proposed device.

8. 5. The proposal device according to claim 1, The product is a supplement. Proposed device.

9. The computer receiving answer information including a first answer to a first question about the user's concerns and a second answer to a second question about the user's eating habits; A step of calculating a first score for each product corresponding to the concern based on the first answer; calculating a second score for each product containing a nutrient that is deficient in the diet based on the second answer; selecting a product having a high total score of the first score and the second score from among the products having the first score equal to or greater than a threshold; a step of outputting a proposal screen for proposing the product selected in the selection step to the user; A proposed method for performing

10. On the computer, receiving answer information including a first answer to a first question about the user's concerns and a second answer to a second question about the user's eating habits; A step of calculating a first score for each product corresponding to the concern based on the first answer; calculating a second score for each product containing a nutrient that is deficient in the diet based on the second answer; selecting a product having a high total score of the first score and the second score from among the products having the first score equal to or greater than a threshold; a step of outputting a proposal screen for proposing the product selected in the selection step to the user; A program to execute.

Images