Shoe purchase recommendation device

Abstract

To obtain a shoe purchase recommendation device that allows a user to use information on the foot size of another person to determine whether to purchase shoes.SOLUTION: A shoe purchase recommendation device 10A comprises: a user data storage unit 11 that stores user data 111; a foot size change prediction unit 12 that calculates a change predicted value of the foot size of a user on the basis of the user data 111; a product information storage unit 13 that stores production information 131; a purchase recommendation processing unit 14 that determines a recommended purchase date and a recommended purchase product for shoes on the basis of the change predicted value and the product information 131; and a screen display processing unit 16 that performs processing of displaying, on a display 21, a foot size change diagram based on foot size measured values 111B or the change predicted values from a past time point to the present and the change predicted values from the present to a future time point, and a comparison value diagram indicating comparison values 151 of foot sizes from the past time point to the future time point.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a shoe purchase recommendation device that predicts changes in the foot size of a person to be predicted and recommends shoe purchases.

Background Art

[0002] Shoes need to be of an appropriate size according to the foot size of the wearer, such as foot length, foot circumference, and arch height. Wearing shoes of inappropriate size can cause hallux valgus or blisters. In particular, when the wearer is a child, wearing shoes of inappropriate size may have an adverse effect on foot growth.

[0003] Since foot size changes with growth and aging, even shoes of an optimal size for the current foot size may no longer be of an optimal size for the foot size in the future.

[0004] Patent Document 1 discloses an invention that predicts changes in foot length and notifies customers of shoe replacements.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] Generally, when determining whether to purchase shoes or not, not only the user's own foot size but also information such as whether the user's foot size is larger or smaller than that of others can be one of the determining factors. However, the invention disclosed in Patent Document 1 was not sufficient to visually provide the determining factors for the shoe purchase recommendation date and whether to purchase or not.

[0007] The present invention has been made in view of the above, and an object thereof is to obtain a shoe purchase recommendation device that can be used by a user as a reference for determining whether to purchase shoes based on information about the shoe size of others.

Means for Solving the Problems

[0008] In order to solve the above-described problems and achieve the object, a shoe purchase recommendation device according to the present invention includes a user data storage unit that stores user data including at least the age of the user and a foot size measurement value, a foot size change prediction unit that calculates a predicted value of the change in the user's foot size based on the user data, a product information storage unit that stores product information including shoe sizes, a purchase recommendation processing unit that determines a shoe purchase recommendation date and a recommended purchase product based on the change prediction value and the product information, and a screen display processing unit that performs a process of displaying on a display unit a foot size change diagram based on the foot size measurement value or the change prediction value from a past point in time to the present and the change prediction value in a period from the present to a future point in time, and a comparison value diagram showing a comparison value of the foot size from a past point in time to a future point in time. The screen display processing unit displays the purchase recommendation date and the recommended purchase product on the display unit together with the foot size change diagram and the comparison value diagram.

Effects of the Invention

[0009] The shoe purchase recommendation device according to the present invention has an effect that it can be used by a user as a reference for determining whether to purchase shoes based on information about the shoe size of others.

Brief Description of the Drawings

[0010]

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Embodiments for Carrying Out the Invention

[0011] Hereinafter, embodiments of the shoe purchase recommendation device according to the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited by these embodiments. In the following embodiments, the same parts or common parts are denoted by the same reference numerals, and the description thereof will not be repeated.

[0012] In the following description, the case where the foot size is the foot length is taken as an example. However, the foot size may be the dimensions of measurable parts such as the foot circumference and the arch height, and is not limited to the dimensions of a specific part. Further, the foot size may be a combination of dimensions of different parts of the foot such as the foot length, the foot circumference, and the arch height, or may be three-dimensional scan data of the user's foot. Further, not only the size of the foot itself, but also the dimensions of the parts of the shoe corresponding to the foot length, the foot circumference, the arch height, etc. may be regarded as the foot size.

[0013] (Embodiment 1) FIG. 1 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 1 of the present invention. The shoe purchase recommendation device 10A includes a user data storage unit 11 that stores user data 111 including at least the user's age 111A, foot size measurement value 111B, and foot size measurement date 111C, a foot size change prediction unit 12 that calculates a predicted value of the change in the user's foot size based on the user data 111, a product information storage unit 13 that stores product information 131 including a shoe size 131A and a product image 131B, a purchase recommendation processing unit 14 that determines a shoe purchase recommendation date and a recommended purchase product based on the change prediction value and the product information 131, a comparison value storage unit 15 that stores a comparison value 151 for comparing foot sizes, and a screen display processing unit 16 that performs a process of displaying a foot size change diagram based on the foot size measurement value 111B or the change prediction value from a past point in time to the present and the change prediction value in a period from the present to a future point in time, and a comparison value diagram showing the comparison value 151 of the foot size from a past point in time to a future point in time. The foot size measurement value 111B is a measured value of the user's foot size measured in the past. The foot size measurement date 111C is the date on which the foot size was measured in the past. As the comparison value 151, the average value of the foot size at the user's age 111A can be used. However, as the comparison value 151, not only the average value but also the foot size data of the user's parent or older sibling when they were the same age as the user can be used. When the average value of the foot size is also used as the comparison value 151, the average value of the members using the shoe purchase recommendation device 10A may be used, or a statistical average value including those who do not use the shoe purchase recommendation device 10A may be used. The age 111A is data representing the elapsed time since birth. The age 111A may be the "monthly age" that represents the elapsed time since birth in units of months rather than years.

[0014] The foot size change prediction unit 12 holds a foot size change table 121 which is statistical data on foot size changes, and calculates a predicted foot size change value by adding the average foot size change amount based on the age 111A to the foot size measurement value 111B. The foot size change prediction unit 12 can calculate not only the predicted foot size at a future time point based on the current foot size measurement value 111B, but also the predicted foot size at a past time point based on the past foot size measurement value 111B. Note that the foot size change prediction unit 12 may calculate the predicted foot size change value by adding the foot size change amount based on the foot size data of the user's older family members included in the user data 111 stored in the user data storage unit 11 to the foot size measurement value 111B.

[0015] In addition to the age 111A, the foot size measurement value 111B, and the foot size measurement date 111C, the user data 111 may include height, weight, gender, place of residence, current foot size data of family members, and past foot size data of family members. By using this information for the foot size change prediction unit 12 to calculate the predicted foot size change value, the foot size change can be predicted more accurately and the change prediction value can be calculated. In the shoe purchase recommendation device 10A according to Embodiment 1, the user data 111 includes the user's height 111G and weight 111H. Therefore, the foot size change prediction unit 12 can calculate the predicted foot size value taking into account the user's physique by calculating the predicted foot size change value using the user's age 111A, height 111G, and weight 111H, and the foot size measurement value 111B at the input age time point.

[0016] A shoe purchase recommendation device 10A is connected to a display input device 20 having a display unit 21 and an input unit 22. A liquid crystal display or an organic electroluminescence display can be applied to the display unit 21, but other display devices may also be used. Input devices such as a keyboard and a pointing device can be applied to the input unit 22, but other input devices may also be used. Note that a touch panel having both a display function and an input function can also be applied to the display unit 21 and the input unit 22. The display input device 20 is connected to the shoe purchase recommendation device 10A via the Internet. Note that the display input device 20 may be directly connected to the shoe purchase recommendation device 10A without going through the Internet. Also, the shoe purchase recommendation device 10A may include the display unit 21 and the input unit 22. In that case, it is not necessary to connect the display input device 20 to the shoe purchase recommendation device 10A.

[0017] A foot size measuring device 30 is connected to the shoe purchase recommendation device 10A. The foot size measuring device 30 outputs a foot size measurement value 111B and a foot size measurement date 111C obtained by measuring the user's foot size. The foot size measurement value 111B and the foot size measurement date 111C are stored in the user data storage unit 11. Note that an input user interface may be provided in the shoe purchase recommendation device 10A, and the foot size measurement value 111B and the foot size measurement date 111C may be input by operating the user interface. Also, the shoe purchase recommendation device 10A may obtain the foot size measurement value 111B and the foot size measurement date 111C by communicating with another device that stores the foot size measurement value 111B and the foot size measurement date 111C. Also, the foot size measurement date 111C does not necessarily have to be data different from the foot size measurement value 111B, and may be data of the creation date or update date included in the file properties of the foot size measurement value 111B.

[0018] For example, a server of a shoe manufacturer can be applied to the shoe purchase recommendation device 10A. Also, a user's smartphone terminal can be applied to the display input device 20. Further, a three-dimensional foot shape automatic measuring device, or an information terminal such as a user's smartphone terminal and tablet terminal can be applied to the foot size measuring device 30.

[0019] For shoes, a foot size fitting range is set for each size. For example, for shoes with a size of 20 cm, a foot length from 19.15 cm to 19.56 cm is set as the foot size fitting range. Therefore, the day when the user's foot length reaches 19.15 cm becomes the purchase recommendation day when it is recommended to purchase shoes of size 20 cm. In this way, the purchase recommendation processing unit 14 determines the day when the predicted value of the change in the user's foot size reaches the foot size fitting range of the shoes that are the purchase recommendation products as the purchase recommendation day.

[0020] The screen display processing unit 16 sets the day when a preset period has elapsed from the previous foot size measurement date 111C as the measurement recommendation day.

[0021] FIG. 2 is a diagram showing an example of a notification screen that the screen display processing unit of the shoe purchase recommendation device according to Embodiment 1 displays on the display input device. The notification screen 200 includes a foot size change diagram 201, a comparison value diagram 202, and a purchase recommendation balloon 203. Inside the purchase recommendation balloon 203, a purchase recommendation date 203A and a purchase recommendation product image 203B are displayed. The process of causing the display unit 21 to display the notification screen 200 including the foot size change diagram 201 and the comparison value diagram 202 is performed by the screen display processing unit 16.

[0022] The shoe purchase recommendation device 10A according to Embodiment 1 represents the foot size change diagram 201 and the comparison value diagram 202 as a line graph including plots on a plane with the size of the foot size on the vertical axis and time on the horizontal axis, and lines connecting the plots, but they may be displayed by other methods.

[0023] In the foot size change diagram 201, the measured foot size value 111B is represented by black circle plots, and the predicted foot size change value is represented by white triangle plots. Also, for past measurement scheduled dates when foot size measurement was not performed, the measured foot size value 111B on that measurement scheduled date is replaced with the predicted foot size change value and plotted. Therefore, by visually recognizing the foot size change diagram 201, the user can know the measurement scheduled dates on which foot size was not measured. Among the lines connecting the plots, the lines connecting past measured foot size values 111B or predicted foot size change values are represented by solid lines, and the lines connecting predicted future foot size change values are represented by dashed lines. Note that as long as the predicted values and measured values can be distinguished, the line types exemplified are not limiting.

[0024] Figure 3 is a flowchart showing the operation flow of the shoe purchase recommendation device according to Embodiment 1. In step S11, the foot size change prediction unit 12 calculates a predicted value of the change in the user's foot size based on the user data 111 stored in the user data storage unit 11. In step S12, the screen display processing unit 16 creates a foot size change diagram 201. In step S13, the screen display processing unit 16 reads out the comparison value 151 from the comparison value storage unit 15 and creates a comparison value diagram 202. In step S14, the purchase recommendation processing unit 14 determines the shoe purchase recommendation date and the recommended purchase product based on the change prediction value calculated by the foot size change prediction unit 12 and the product information 131 stored in the product information storage unit 13.

[0025] In step S15, the screen display processing unit 16 reads out the product image 131B of the recommended purchase product from the product information storage unit 13 and creates a purchase recommendation balloon 203. In step S16, the screen display processing unit 16 performs a process of displaying the notification screen 200.

[0026] The shoe purchase recommendation device 10A according to Embodiment 1 can prompt the purchase of shoes at an appropriate timing when the user's foot size reaches the foot size fitting range of the shoes by displaying a purchase recommendation balloon 203 including a purchase recommendation date 203A and a purchase recommendation product image 203B on the notification screen 200. Further, since the shoe purchase recommendation device 10A displays the purchase recommendation balloon 203 including the foot size change diagram 201 and the comparison value diagram 202 on the notification screen 200, the user can determine whether to purchase shoes using the foot size information based on the statistical data or the foot size data of siblings as a reference for judgment.

[0027] (Embodiment 2) FIG. 4 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 2 of the present invention. The shoe purchase recommendation device 10B according to Embodiment 2 differs from the shoe purchase recommendation device 10A according to Embodiment 1 in that a designated sport item 111D, which is a sport item designated by the user, is included in the user data 111, and a usage sport item 131C, which is a sport item for which the shoes are used, is included in the product information 131.

[0028] If there is a shoe in the candidates for purchase recommendation products selected based on the predicted value of the change in foot size and the usage sport item 131C matches the designated sport item 111D, the purchase recommendation processing unit 14 preferentially determines the purchase recommendation product as the shoe for which the usage sport item 131C matches the designated sport item 111D.

[0029] FIG. 5 is a flowchart showing the flow of processing for determining a purchase-recommended product of the shoe purchase recommendation device according to Embodiment 2. In step S21, the purchase recommendation processing unit 14 selects candidates for shoes for which purchase is recommended based on the predicted value of the change in foot size. In step S22, the purchase recommendation processing unit 14 determines whether there is a shoe among the selected candidates in which the usage category 131C matches the specified category 111D. If there is a shoe in which the usage category 131C matches the specified category 111D, Yes is obtained in step S22, and the process proceeds to step S23. If there is no shoe in which the usage category 131C matches the specified category 111D, No is obtained in step S22, and the process proceeds to step S24.

[0030] In step S23, the purchase recommendation processing unit 14 determines the purchase-recommended product, giving priority to the shoes among the candidates selected in step S21 in which the usage category 131C matches the specified category 111D.

[0031] In step S24, the purchase recommendation processing unit 14 determines the purchase-recommended product, giving priority to the shoes with a high degree of foot size fitness among the candidates selected in step S21. Note that a shoe whose median value of the foot size fitting range is closer to the predicted foot size value has a higher degree of foot size fitness.

[0032] The shoe purchase recommendation device 10B according to Embodiment 2 can determine the purchase-recommended product, giving priority to the shoes suitable for the category specified in advance by the user among the shoes that match the predicted value of the change in the user's foot size, and thus can recommend the purchase of shoes according to the user's preference.

[0033] In addition, for sports events that can be specified as the specified event 111D, approximate events may be set in advance. When there are no shoes in which the usage event 131C matches the specified event 111D, the shoes of the approximate event may be preferentially selected to determine the product to be purchased. For example, competition groups such as indoor court systems such as basketball, volleyball, and badminton, outdoor limited contact systems such as soccer, rugby, and baseball, and outdoor non-contact systems such as tennis, lacrosse, and track and field may be set in advance. When there are no shoes in which the usage event 131C matches the specified event 111D among the candidates for the recommended purchase products, the purchase recommendation processing unit 14 may determine the recommended purchase product by preferentially selecting the shoes for the competition belonging to the competition group including the specified event 111D. Note that "there are no shoes in which the usage event matches the specified event" includes both the case where the product itself does not exist and the case where the product exists but there is no stock.

[0034] (Embodiment 3) FIG. 6 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 3 of the present invention. The shoe purchase recommendation device 10C according to Embodiment 3 differs from the shoe purchase recommendation device 10A according to Embodiment 1 in that the specified color 111E, which is the color specified by the user, is included in the user data 111 and the shoe color 131D, which is information on the color of the shoe, is included in the product information 131. The shoe color 131D is not limited to the color of the region that occupies a large proportion on the outer surface of the shoe, and may be the color of the logo mark provided on the outer surface of the shoe, or may be the color of a conspicuous part that occupies a small proportion on the outer surface of the shoe.

[0035] If there is a shoe in which the shoe color 131D matches the specified color 111E among the candidates for the recommended purchase products selected based on the predicted value of the change in foot size, the purchase recommendation processing unit 14 determines the recommended purchase product by preferentially selecting the shoe in which the shoe color 131D matches the specified color 111E.

[0036] FIG. 7 is a flowchart showing the flow of a process for determining a purchase-recommended product of the shoe purchase recommendation device according to Embodiment 3. In step S31, the purchase recommendation processing unit 14 selects candidates for shoes whose purchase is recommended based on the predicted value of the change in foot size. In step S32, the purchase recommendation processing unit 14 determines whether there is a shoe among the selected candidates whose shoe color 131D matches the specified color 111E. If there is a shoe whose shoe color 131D matches the specified color 111E, it becomes Yes in step S32, and the process proceeds to step S33. If there is no shoe whose shoe color 131D matches the specified color 111E, it becomes No in step S32, and the process proceeds to step S34.

[0037] In step S33, the purchase recommendation processing unit 14 determines the purchase-recommended product by giving priority to the shoes among the candidates selected in step S31 whose shoe color 131D matches the specified color 111E.

[0038] In step S34, the purchase recommendation processing unit 14 determines the purchase-recommended product by giving priority to the shoes among the candidates selected in step S31 that have a high degree of foot size fitness. Note that the closer the median value of the foot size fitting range is to the predicted foot size value, the higher the degree of foot size fitness.

[0039] The shoe purchase recommendation device 10C according to Embodiment 3 can determine the purchase-recommended product by giving priority to the shoes of the color specified in advance by the user among the shoes that match the predicted value of the change in the user's foot size, so it can recommend the purchase of shoes that match the user's preference.

[0040] Regarding the colors that can be specified as the specified color 111E, approximate colors may be set in advance. When there is no shoe in which the shoe color 131D matches the specified color 111E, the purchase recommendation processing unit 14 may prioritize shoes of approximate colors to determine the products to be purchased. For example, color groups such as monotone colors such as black, white, and gray, warm colors such as red, pink, and brown, cool colors such as blue, purple, and green, and light colors such as orange, yellow, and gold may be set in advance. When there is no shoe in which the shoe color 131D matches the specified color 111E among the candidates for purchase-recommended products, the purchase recommendation processing unit 14 may prioritize shoes of colors belonging to the color group containing the specified color 111E to determine the purchase-recommended products. Note that "there is no shoe in which the shoe color matches the specified color" includes both the case where the product itself does not exist and the case where the product exists but there is no stock.

[0041] (Embodiment 4) FIG. 8 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 4 of the present invention. The shoe purchase recommendation device 10D according to Embodiment 4 differs from the shoe purchase recommendation device 10A according to Embodiment 1 in that the designated item 111D, which is the sports item designated by the user, and the designated color 111E, which is the color designated by the user, are included in the user data 111, and the application item 131C, which is the sports item for which the shoes are used, and the shoe color 131D, which is information on the color of the shoes, are included in the product information 131.

[0042] The purchase recommendation processing unit 14 selects a group of purchase recommendation candidates in which the application item 131C matches the designated item 111D from among the candidates for purchase-recommended products selected based on the predicted value of the change in foot size, and determines the purchase-recommended products by prioritizing shoes in which the shoe color 131D matches the designated color 111E from among the group of purchase recommendation candidates.

[0043] FIG. 9 is a flowchart showing the flow of a process for determining a purchase-recommended product of a shoe purchase recommendation device according to Embodiment 4. In step S41, the purchase recommendation processing unit 14 selects candidates for shoes for which purchase is recommended based on the predicted value of the change in foot size. In step S42, the purchase recommendation processing unit 14 determines whether there is a shoe among the selected candidates in which the usage category 131C matches the specified category 111D. If there is a shoe in which the usage category 131C matches the specified category 111D, the answer is Yes in step S42, and the process proceeds to step S43. If there is no shoe in which the usage category 131C matches the specified category 111D, the answer is No in step S42, and the process proceeds to step S44.

[0044] In step S43, the purchase recommendation processing unit 14 selects a purchase recommendation candidate group from among the shoes in which the usage category 131C matches the specified category 111D from among the candidates selected in step S41.

[0045] In step S44, the purchase recommendation processing unit 14 determines the purchase-recommended product, giving priority to the shoes with a high degree of foot size suitability from among the candidates selected in step S41. Note that, the closer the median value of the foot size fitting range is to the predicted foot size value, the higher the degree of foot size suitability. After step S44, the process ends.

[0046] In step S45, the purchase recommendation processing unit 14 determines whether there is a shoe in which the shoe color 131D matches the specified color 111E among the purchase recommendation candidate group. If there is a shoe in which the shoe color 131D matches the specified color 111E, the answer is Yes in step S45, and the process proceeds to step S46. If there is no shoe in which the shoe color 131D matches the specified color 111E, the answer is No in step S45, and the process proceeds to step S47.

[0047] In step S46, the purchase recommendation processing unit 14 determines the purchase-recommended product from among the shoes in which the shoe color 131D matches the specified color 111E among the purchase recommendation candidate group selected in step S43.

[0048] In step S47, the purchase recommendation processing unit 14 randomly determines a purchase-recommended product from among the group of purchase-recommended products.

[0049] The shoe purchase recommendation device 10D according to Embodiment 4 can recommend the purchase of shoes that meet the conditions specified by the user because it determines, as the purchase-recommended product, a shoe in which the shoe color 131D matches the specified color 111E from among the group of purchase-recommended candidates in which the usage item 131C matches the specified item 111D.

[0050] (Embodiment 5) FIG. 10 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 5 of the present invention. The shoe purchase recommendation device 10E according to Embodiment 5 differs from the shoe purchase recommendation device 10A according to Embodiment 1 in that the exercise ability measurement value 111F, which is the measurement result of the user's exercise ability, is included in the user data 111, and the required exercise ability value 131E, which is information on the exercise ability associated with the shoe, is included in the product information 131.

[0051] Examples of exercise ability include, but are not limited to, the time for short-distance running, the time for long-distance running, the height of vertical jump, and the number of repeated side jumps. The required exercise ability value 131E indicates the exercise ability required to bring out the original performance of the shoe. If the exercise ability measurement value 111F of the wearer of the shoe is less than or equal to the required exercise ability value 131E, the original performance of the shoe cannot be brought out.

[0052] If there is a shoe in which the required exercise ability value 131E is less than or equal to the exercise ability measurement value 111F among the candidates for purchase-recommended products selected based on the predicted value of foot size change, the purchase recommendation processing unit 14 preferentially determines the purchase-recommended product as the shoe in which the required exercise ability value 131E is less than or equal to the exercise ability measurement value 111F.

[0053] FIG. 11 is a flowchart showing the flow of a process for determining a purchase-recommended product of the shoe purchase recommendation device according to Embodiment 5. In step S51, the purchase recommendation processing unit 14 selects candidates for shoes recommended for purchase based on the predicted value of the foot size change. In step S52, the purchase recommendation processing unit 14 determines whether there is a shoe among the selected candidates whose required motor ability value 131E is less than or equal to the motor ability measurement value 111F. If there is a shoe whose required motor ability value 131E is less than or equal to the motor ability measurement value 111F, the process proceeds to step S53 with a Yes in step S52. If there is no shoe whose required motor ability value 131E is less than or equal to the motor ability measurement value 111F, the process proceeds to step S54 with a No in step S52.

[0054] In step S53, the purchase recommendation processing unit 14 determines the purchase-recommended product by prioritizing the shoes whose required motor ability value 131E is less than or equal to the motor ability measurement value 111F among the candidates selected in step S51.

[0055] In step S54, the purchase recommendation processing unit 14 determines the purchase-recommended product by prioritizing the shoes with a higher degree of foot size fitness among the candidates selected in step S51. Note that the closer the median value of the foot size fit range is to the predicted foot size value, the higher the degree of foot size fitness.

[0056] In particular, in the case of shoes for sports, there may be provided a plurality of models according to the performance of the wearer. Generally, models for beginners have specifications that prioritize ease of handling over performance, and models for advanced users have specifications that prioritize performance over ease of handling. Therefore, when a person with low athletic ability wears a model for advanced users, the original performance of the shoes cannot be fully utilized, and as a result, the wearer cannot fully demonstrate their own performance. Also, when a person with high athletic ability wears a model for beginners, due to the limitations imposed by the performance of the shoes, the wearer cannot fully demonstrate their own performance. The shoe purchase recommendation device 10E according to Embodiment 5 can recommend the purchase of shoes that are easy for the user to demonstrate performance by determining the shoes to be recommended for purchase based on the user's athletic ability.

[0057] (Embodiment 6) FIG. 12 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 6 of the present invention. The shoe purchase recommendation device 10F according to Embodiment 6 is different from the shoe purchase recommendation device 10A according to Embodiment 1 in that it includes a purchase recommendation interval determination unit 17 that determines a purchase recommendation interval based on the age 111A of the user.

[0058] When the purchase recommendation date based on the change prediction value and the product information 131 is not set until the purchase recommendation interval has elapsed since the previous purchase recommendation date, the purchase recommendation processing unit 14 sets the date when the purchase recommendation interval has elapsed as the purchase recommendation date.

[0059] Since the shoe sole wears down with use, it is advisable for users of an age where foot size changes little to replace their shoes regularly. Even if a purchase recommendation date based on the predicted change value and product information 131 is not set before the purchase recommendation interval determined based on the user's age 111A has elapsed since the previous purchase recommendation date, the shoe purchase recommendation device 10F according to Embodiment 6 sets the date when the purchase recommendation interval has elapsed as the purchase recommendation date. Therefore, it is possible to recommend shoe purchases to users of an age where foot size changes little at an appropriate timing. On the other hand, when the user is a child whose foot size changes in a short period, especially a child in the growth period, the purchase recommendation date is set based on the predicted change value of the foot size and the product information 131, so it is possible to recommend shoe purchases at an appropriate timing.

[0060] (Embodiment 7) FIG. 13 is a diagram showing the configuration of a shoe purchase recommendation device according to Embodiment 7 of the present invention. The shoe purchase recommendation device 10G according to Embodiment 7 differs from the shoe purchase recommendation device 10A according to Embodiment 1 in that inventory information 131F indicating the presence or absence of shoe inventory is included in the product information 131.

[0061] In the shoe purchase recommendation device 10G according to Embodiment 7, after the purchase recommendation processing unit 14 selects candidates for purchase recommendation products based on the predicted foot size change value and the product information 131, it checks the presence or absence of inventory based on the inventory information 131F, and determines a purchase recommendation product from among the shoes with inventory.

[0062] Since the shoe purchase recommendation device 10G according to Embodiment 7 determines a purchase recommendation product from among the shoes with inventory, it is possible to suppress the occurrence of an event where the recommended shoes are out of stock and the user cannot purchase the recommended shoes.

[0063] The shoe purchase recommendation devices 10A, 10B, 10C, 10D, 10E, 10F, and 10G according to each of the above embodiments are suitable when the user is a child whose foot size changes in a short period of time. However, they can also recommend shoe purchases to adult users at appropriate times.

[0064] Next, the hardware configuration of the shoe purchase recommendation devices 10A, 10B, 10C, 10D, 10E, 10F, and 10G according to each of the above embodiments will be described. FIG. 14 is a diagram showing a hardware configuration example of the shoe purchase recommendation devices according to Embodiment 1 to Embodiment 7. FIG. 14 shows the hardware configuration in the case where the functions of the shoe purchase recommendation devices 10A, 10B, 10C, 10D, 10E, 10F, and 10G are realized by using hardware that executes a program.

[0065] The shoe purchase recommendation devices 10A, 10B, 10C, 10D, 10E, 10F, and 10G include a processor 81 that executes various processes, a memory 82 that is an internal memory, and a storage device 83 that stores information. The processor 81 reads out the program stored in the storage device 83 and executes it in the memory 82. The user data storage unit 11 and the product information storage unit 13 are realized by the storage device 83.

[0066] Thus, the shoe purchase recommendation devices 10A, 10B, 10C, 10D, 10E, 10F, 10G according to the present invention include a user data storage unit 11 that stores user data 111 including at least the user's age 111A and foot size measurement value 111B, a foot size change prediction unit 12 that calculates a predicted value of the change in the user's foot size based on the user data 111, a product information storage unit 13 that stores product information 131 including a shoe size 131A, a purchase recommendation processing unit 14 that determines a shoe purchase recommendation date and a recommended purchase product based on the change prediction value and the product information 131, and a screen display processing unit 16 that performs a process of causing a display unit 21 to display a foot size change diagram 201 based on the foot size measurement value or the change prediction value from a past point in time to the present and the change prediction value in a period from the present to a future point in time, and a comparison value diagram 202 that shows a comparison value of the foot size from a past point in time to a future point in time. The screen display processing unit 16 causes the display unit 21 to display the purchase recommendation date and the recommended purchase product together with the foot size change diagram 201 and the comparison value diagram 202. Therefore, the user of the shoe purchase recommendation devices 10A, 10B, 10C, 10D, 10E, 10F, 10G according to the present invention can use the information on the foot size of others as a factor for determining whether to purchase shoes.

[0067] Further, by the screen display processing unit 16 representing the foot size change diagram 201 and the comparison value diagram 202 as plots on a plane with the vertical axis representing the size of the foot and the horizontal axis representing time, the user can easily compare the measured and predicted values of the user's own foot size with the comparison value along the time series.

[0068] By the screen display processing unit 16 representing the foot size measurement value and the change prediction value in the foot size change diagram 201 with different types of plots, the user can easily distinguish whether the foot size at a certain point in time is the actually measured value or the predicted value calculated based on the growth prediction.

[0069] In addition, it is provided with a purchase recommendation interval determination unit 17 that determines a purchase recommendation interval based on the age of the user. When a purchase recommendation date based on the change prediction value and product information is not set until the purchase recommendation interval has elapsed since the previous purchase recommendation date, the purchase recommendation processing unit 14 sets the date when the purchase recommendation interval has elapsed as the purchase recommendation date, so that even for users of an age with a small change in foot size, it is possible to recommend the purchase of shoes at an appropriate timing.

[0070] In addition, when the foot size is not measured on the measurement recommendation date that recommends the measurement of the foot size set at a predetermined interval, the screen display processing unit 16 replaces the foot size measurement value on the measurement recommendation date when the foot size was not measured with the change prediction value to create a foot size change diagram 201, so that even when the user does not measure the foot size, it is possible to create a foot size change diagram 201 with a small difference from the case where the measurement was performed.

[0071] In addition, the designated color 111E specified by the user is included in the user data 111, the shoe color 131D is included in the product information 131, and the purchase recommendation processing unit 14 determines the purchase recommendation product by prioritizing the shoes with the shoe color 131D that matches the designated color 111E from among the shoes that match the change prediction value, so that it is possible to recommend the purchase of shoes in a color that suits the user's preference at an appropriate timing.

[0072] In addition, the designated item 111D which is the sports item designated by the user is included in the user data 111, the usage item 131C which is the sports item for which the shoes are used is included in the product information 131, and the purchase recommendation processing unit 14 determines the purchase recommendation product by prioritizing the shoes for which the usage item 131C matches the designated item 111D from among the shoes that match the change prediction value, so that it is possible to recommend the purchase of shoes for the sports item designated by the user at an appropriate timing.

[0073] In addition, the specified sport item 111D specified by the user and the specified color 111E specified by the user are included in the user data 111, the application sport item 131C which is the sport item for which the shoes are used and the shoe color 131D are included in the product information, and the purchase recommendation processing unit 14 gives priority to selecting shoes in which the application sport item 131C matches the specified sport item 111D from among the shoes that match the change prediction value, and selects the purchase recommendation candidate group, and determines the purchase recommendation product by giving priority to the shoes with the shoe color 131D that matches the specified color 111E from among the purchase recommendation candidate group, so that it is possible to recommend the purchase of shoes for the sport item specified by the user and in the color that suits the user's preference at an appropriate timing.

[0074] In addition, when there are no shoes with the shoe color 131D that matches the specified color 111E, the purchase recommendation processing unit 14 determines the purchase recommendation product by giving priority to the shoes of a predetermined approximate color associated with the specified color 111E, so that even if the color does not exactly match the color specified by the user, it becomes easier for the user to purchase shoes of a similar color.

[0075] In addition, when there are no shoes with the application sport item 131C that matches the specified sport item 111D, the purchase recommendation processing unit 14 determines the purchase recommendation product by giving priority to the shoes of a predetermined similar sport item which is a sport item similar to the specified sport item 111D, so that it is possible to recommend the purchase of shoes for a sport with a competition form similar to the sport item specified by the user at an appropriate timing.

[0076] In addition, the exercise ability measurement value 111F which is the measurement result of the user's exercise ability is included in the user data 111, the information of the required exercise ability value 131E indicating the exercise ability associated with each shoe is included in the product information, and the purchase recommendation processing unit 14 gives priority to selecting shoes in which the required exercise ability value 131E is less than or equal to the exercise ability measurement value 111F from among the shoes that match the change prediction value, and determines the purchase recommendation product, so that it is possible to recommend the purchase of shoes suitable for the user's exercise ability at an appropriate timing.

[0077] In addition, inventory information 131F indicating the presence or absence of shoes in stock is included in the product information 131, and the purchase recommendation processing unit 14 can recommend to the user the purchase of shoes that are not out of stock by determining the purchase recommendation products from among the shoes in stock.

[0078] The configurations shown in the above embodiments are examples of the content of the present invention, and it is possible to combine them with other known technologies, and it is also possible to omit or change a part of the configuration without departing from the gist of the present invention.

Explanation of Reference Numerals

[0079] 10A, 10B, 10C, 10D, 10E, 10F, 10G Shoe purchase recommendation device, 11 User data storage unit, 12 Foot size change prediction unit, 13 Product information storage unit, 14 Purchase recommendation processing unit, 15 Comparison value storage unit, 16 Screen display processing unit, 17 Purchase recommendation interval determination unit, 20 Display input device, 21 Display unit, 22 Input unit, 30 Foot size measurement device, 81 Processor, 82 Memory, 83 Storage device, 111 User data, 111A Age, 111B Foot size measurement value, 111C Foot size measurement date, 111D Specified event, 111E Specified color, 111F Athletic ability measurement value, 111G Height, 111H Weight, 121 Foot size change table, 131 Product information, 131A Shoe size, 131B Product image, 131C Use event, 131D Shoe color, 131E Required athletic ability value, 131F Inventory information, 151 Comparison value, 200 Notification screen, 201 Foot size change diagram, 202 Comparison value diagram, 203 Purchase recommendation balloon, 203A Purchase recommendation date, 203B Purchase recommendation product image.

Claims

1. A user data storage unit that stores user data including at least the user's age and foot size measurement value; A foot size change prediction unit that calculates a predicted value of the change in the user's foot size based on the user data; A product information storage unit that stores product information including shoe size; A purchase recommendation processing unit that determines a recommended purchase date and a recommended purchase product for shoes based on the predicted change value and the product information; A screen display processing unit that performs processing to display on a display unit a foot size change diagram based on the foot size measurement value or the predicted change value from a past time point to the present and the predicted change value in a period from the present to a future time point, and a comparison value diagram showing a comparison value of the foot size from a past time point to a future time point; The screen display processing unit displays the recommended purchase date and the recommended purchase product on the display unit together with the foot size change diagram and the comparison value diagram, and is a shoe purchase recommendation device.

2. The screen display processing unit represents the foot size change diagram and the comparison value diagram as plots on a plane with the size of the foot size on the vertical axis and time on the horizontal axis, and is the shoe purchase recommendation device according to claim 1.

3. The screen display processing unit represents the foot size measurement value and the predicted change value in the foot size change diagram by different types of plots, and is the shoe purchase recommendation device according to claim 2.

4. It includes a purchase recommendation interval determination unit that determines a purchase recommendation interval based on the user's age; When the purchase recommendation date based on the predicted change value and the product information is not set until the purchase recommendation interval has elapsed since the previous purchase recommendation date, the purchase recommendation processing unit sets the day when the purchase recommendation interval has elapsed as the purchase recommendation date, and is the shoe purchase recommendation device according to any one of claims 1 to 3.

5. When the foot size is not measured on the measurement recommendation date that recommends the measurement of the foot size set at a predetermined interval, the screen display processing unit replaces the foot size measurement value on the measurement recommendation date when the foot size was not measured with the change prediction value and creates the foot size change diagram. The shoe purchase recommendation device according to any one of claims 1 to 4.

6. The user data includes a specified color specified by the user. The product information includes a shoe color. The purchase recommendation processing unit determines the purchase recommendation product by giving priority to the shoes having the shoe color that matches the specified color among the shoes that match the change prediction value. The shoe purchase recommendation device according to any one of claims 1 to 5.

7. The user data includes a specified item which is a sports item specified by the user. The product information includes an application item which is a sports item for which the shoes are used. The purchase recommendation processing unit determines the purchase recommendation product by giving priority to the shoes for which the application item matches the specified item among the shoes that match the change prediction value. The shoe purchase recommendation device according to any one of claims 1 to 5.

8. The user data includes a specified item which is a sports item specified by the user and a specified color specified by the user. The product information includes an application item which is a sports item for which the shoes are used and a shoe color. The purchase recommendation processing unit selects a purchase recommendation candidate group by giving priority to the shoes for which the application item matches the specified item among the shoes that match the change prediction value, and determines the purchase recommendation product by giving priority to the shoes having the shoe color that matches the specified color among the purchase recommendation candidate group. The shoe purchase recommendation device according to any one of claims 1 to 5.

9. The purchase recommendation processing unit determines the purchase recommended product by prioritizing shoes of a predetermined approximate color associated with the specified color when there are no shoes of the shoe color that matches the specified color. The shoe purchase recommendation device according to claim 6 or 8.

10. The purchase recommendation processing unit determines the purchase recommended product by prioritizing shoes of a predetermined similar type, which is a sports type similar to the specified type, when there are no shoes of the use type that matches the specified type. The shoe purchase recommendation device according to claim 7 or 8.

11. The user data includes a motor ability measurement value that is a measurement result of the user's motor ability. The product information includes information on the required motor ability value indicating the motor ability associated with each shoe. The purchase recommendation processing unit determines the purchase recommended product by prioritizing shoes whose required motor ability value is less than or equal to the motor ability measurement value from among the shoes that match the change prediction value. The shoe purchase recommendation device according to any one of claims 1 to 5.

12. The product information includes inventory information indicating the presence or absence of inventory of shoes. The purchase recommendation processing unit determines the purchase recommended product from among the shoes in stock. The shoe purchase recommendation device according to any one of claims 1 to 11.

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