JP2019128922A - Information providing device and method - Google Patents

Abstract

To meet a need for a method of accurately predicting a demand for clothes since a producer of clothes such as a fashion brand predicts a demand for clothes and works out a production plan, but there are many factors that affect a demand for clothes and a demand in most cases has to be roughly predicted relying on intuition and experience, which means that the prediction of a demand for clothes often becomes incorrect due to a sudden change of weather or vague as long as it depends on intuition and experience.SOLUTION: Provided is an information providing device comprising: a weather information acquisition unit for acquiring weather information that indicates a future weather; a demand prediction unit for predicting a future demand for a plurality of clothes on the basis of the weather information; and an information providing unit for providing information pertaining to the future demand for the plurality of clothes.SELECTED DRAWING: Figure 9

Description

  The present invention relates to an information providing apparatus and method.

A garment manufacturer such as a fashion brand makes a production plan by predicting the demand for garments in order to avoid shortage or excess inventory (see, for example, Patent Document 1). However, since there are many factors that affect the demand for clothes, the fact is that the demand can not but be roughly predicted based on intuition or experience.
[Prior art document]
[Patent Document]
[Patent Document 1] Japanese Patent Application Laid-Open No. 2014-229252

  When the demand for clothes is predicted by intuition or experience, the prediction is inaccurate due to sudden changes in weather or fashion. Therefore, a method for predicting the demand for clothes more accurately is required.

  According to a first aspect of the present invention, an information providing apparatus is provided. The information providing device may include a weather information acquisition unit that acquires weather information indicating a future weather. The information providing apparatus may include a demand prediction unit that predicts future demand for a plurality of clothes based on the weather information. The information providing apparatus may include an information providing unit that provides information on the future demand of the plurality of clothes. The information providing apparatus may further include a survey result information acquiring unit that acquires survey result information indicating a survey result of the user's preference regarding clothes. The demand prediction unit may predict future demand for the plurality of clothes based on the survey result information. The information providing apparatus may further include a sales performance information acquisition unit that acquires sales performance information indicating sales performance of a plurality of clothes. The demand prediction unit may predict a future demand for the plurality of clothes based on the sales performance information. The information providing apparatus may further include an attention level information acquisition unit that acquires attention level information indicating the attention levels of the plurality of clothes. The demand prediction unit may predict a future demand for the plurality of clothes based on the attention level information.

  The information providing apparatus may include a survey result information acquisition unit that acquires survey result information indicating a survey result of a user's preference regarding clothes. The information providing apparatus may include a sales record information acquisition unit that acquires sales record information indicating sales records of the plurality of clothes. You may further provide the attention level information acquisition part which acquires the attention level information which shows the attention level of said some clothes. The demand prediction unit may predict future demand for the plurality of clothes based on the survey result information, the sales performance information, and the attention level information. The information providing apparatus may further include a purchase history information acquisition unit that acquires purchase history information indicating a purchase history of the user's clothes. The demand forecasting unit may forecast future demand of the plurality of clothes based further on the purchase history information. The information providing apparatus may further include a user position information acquisition unit that acquires user position information indicating the position of the user. The demand forecasting unit may forecast future demand of the plurality of clothes for each area based on the user position information.

  The information providing apparatus may include a clothing selection unit that selects at least one clothing from the plurality of clothing based on information on the plurality of clothing and body shape information indicating the body shape of the user. The information providing apparatus may further include an information providing unit that provides the user with information on the at least one piece of clothing selected by the clothing selection unit. The demand forecasting unit may forecast future demand for the plurality of clothes based further on the information on the at least one clothes provided to the user. The information providing apparatus may further include a user image acquisition unit that acquires a user image that is an image including the user's body. The information providing apparatus may further include a body shape information generation unit that generates body shape information indicating the body shape of the user based on the user image.

  The information providing apparatus may further include a manufacturing related information acquisition unit that acquires manufacturing related information including raw material costs or processing costs. The demand forecasting unit may forecast future demand of the plurality of clothes based further on the manufacturing related information. The demand prediction unit may predict a future demand for the plurality of clothes using a machine learning model. The demand forecasting unit may forecast future demand of the plurality of clothes on a daily basis.

  According to a second aspect of the invention, a method is provided. The method may comprise obtaining weather information indicative of future weather. The method may comprise predicting the future demand of the plurality of clothes based on the weather information.

  Note that the above summary of the invention does not enumerate all the necessary features of the present invention. In addition, a subcombination of these feature groups can also be an invention.

1 shows an example of an information providing system 100 according to an embodiment. 2 illustrates an example method for providing information about clothes to a consumer device 102. An example of a method for providing information relating to demand prediction to the producer device 110 is shown. An example of the correction method of the demand forecast by the fashion platform 104 is shown. An example of functional composition of consumer device 102 is shown. An example of a functional composition of fashion platform 104 is shown. An example of a functional structure of the fashion proposal platform 600 is shown. An example of information stored in the user database 742 is shown. An example of a function structure of the demand prediction platform 602 is shown. An example of functional composition of store device 108 is shown. An example of display contents displayed on the display unit 1031 is shown. 2 shows an exemplary hardware configuration of a computer 1200 functioning as a consumer device 102. An example of a hardware configuration of a computer 1300 functioning as the fashion platform 104 is shown. An example of a hardware configuration of a computer 1400 functioning as the store device 108 is shown.

  Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Moreover, not all combinations of features described in the embodiments are essential to the solution of the invention.

  FIG. 1 shows an example of an information providing system 100 according to an embodiment. The information provision system 100 comprises a consumer device 102, a fashion platform 104, a database 106, a store device 108, and a producer device 110. Consumer devices 102, fashion platform 104, databases 106, store devices 108, and producer devices 110 communicate with one another via a communication network 112, such as the Internet. Each of the consumer device 102, the fashion platform 104, and the store device 108 is an example of an information providing apparatus.

  The consumer device 102 is a device such as a smartphone, a mobile phone, a tablet device, or a personal computer that is used by the consumer. The database 106 stores so-called big data including consumer information, producer information, product information, and the like. The store device 108 is a device that is installed in an actual store and provides product information to consumers. The producer device 110 is a device used by a producer or distributor of a product such as a fashion brand. The fashion platform 104 may be a cloud platform or a server platform.

  The fashion platform 104 provides the producer or distributor with a service that predicts the future demand for clothes. More specifically, fashion platform 104 collects data from consumer devices 102, store devices 108, and producer devices 110 via communication network 112. The fashion platform 104 also collects data from Internet services such as weather forecast sites, social network services (SNS), search sites, and questionnaire sites. The fashion platform 104 stores data collected from various sources in the database 106 as big data. The fashion platform 104 predicts future demand for clothing based on data stored in the database 106 and provides information to the manufacturer or distributor via the manufacturer device 110.

  In addition, the fashion platform 104 provides a service for proposing clothes suitable for the consumer's body shape to the consumer. More specifically, fashion platform 104 receives information about the consumer's body shape from consumer device 102 or store device 108. The fashion platform 104 selects clothes suitable for the consumer's body shape based on the information related to the consumer's body shape, and provides the consumer with the information via the consumer device 102 or the store device 108.

  FIG. 2 illustrates an example of a method for providing consumer device 102 with information about clothes. The consumer device 102 transmits information such as the height, weight, sex, age, and ID of the user who is a consumer, and an image of the user to the fashion platform 104. The user image is an image including the user's body. ID is user identification information for identifying a user, for example, a telephone number. The ID may be an Internet service user account or an SNS ID.

  The fashion platform 104 receives information transmitted from the consumer device 102. The fashion platform 104 selects clothes suitable for the user's body shape based on the information transmitted from the consumer device 102. The fashion platform 104 uses the user image transmitted from the consumer device 102 to generate an image representing how the user is wearing the selected clothes, and transmits the generated image to the consumer device 102. The fashion platform 104 may also send information such as an image and price of the selected clothing to the consumer device 102.

  FIG. 3 illustrates an example of a method of providing the producer device 110 with information regarding demand forecasting. The manufacturer device 110 manages, in the database 310, clothes information including information related to clothes, inventory information that is information related to clothes stock, and sales result information that indicates sales results. The fashion platform 104 receives clothing information, inventory information, and sales performance information from the producer device 110. Company A, Company B, and Company C shown in FIG. 3 are examples of garment producers or distributors. The fashion platform 104 also collects various information such as future weather.

  The fashion platform 104 analyzes various information such as clothes information, inventory information, sales performance information, and future weather information transmitted from the manufacturer device 110, and predicts future demand for clothes and clothes trends. The fashion platform 104 transmits demand forecast information indicating the future demand for clothes and trend information indicating the trend of clothes to the manufacturer device 110. Producers can reflect demand forecast information and trend information in short-, medium-, or long-term production plans.

  FIG. 4 shows an example of a demand forecast correction method by the fashion platform 104. The fashion platform 104 predicts future demand for clothes based on weather forecasts, questionnaires, store data, and rival product information. The fashion platform 104 continuously collects this information, for example, predicting future demand for clothes on a daily basis or correcting previous predictions. More specifically, forecast the future demand for clothes from trends such as trends of other companies, fashion shows, fashion information and feature information obtained from magazines, questionnaires about clothes or brands, and information such as initial sales of stores or Correct previous predictions. The fashion platform 104 may use a machine learning model to predict future demand for clothing or correct previous predictions.

  Based on the demand prediction provided from the fashion platform 104, the producer can make a production plan up to the sale of clothes. The manufacturer may divide the production plan into a material procurement process, a design process, a manufacturing process, and the like, and reflect the demand forecast appropriately corrected in the production plan. For example, during the six months prior to the launch of the garment, the producer can review the production plan approximately every month based on the demand forecasts provided by the fashion platform 104. After the garment sales are started, the manufacturer can update the number of garment shipments from the next day on a daily basis based on the demand forecast from the fashion platform 104. By reflecting the demand forecast in the production plan, it is possible to reduce the possibility of the shortage of clothes or the surplus of clothes.

  FIG. 5 shows an example of the functional configuration of the consumer device 102. The consumer device 102 includes an imaging unit 500, an operation input unit 502, a display unit 504, a user image acquisition unit 506, a user information acquisition unit 508, a user identification information acquisition unit 510, a display control unit 512, and a communication unit 514. The communication unit 514 includes a transmission unit 516 and a reception unit 518.

  The imaging unit 500 may be a camera provided to the consumer device 102. The operation input unit 502 may be an operation button, a touch panel, a keyboard, or a mouse. The display unit 504 may be a display provided to the consumer device 102.

  The user image acquisition unit 506 acquires a user image including the user's body imaged by the imaging unit 500. The user information acquisition unit 508 acquires user information including at least one of the height, weight, and sex of the user input to the operation input unit 502. The user information may include gene information of the user. The user identification information acquisition unit 510 acquires user identification information for identifying a user. The user identification information is, for example, a telephone number. The user identification information may be an Internet service user account or an SNS ID. The transmitting unit 516 transmits the user image, the user information, and the user identification information to the fashion platform 104. The receiving unit 518 receives information regarding at least one piece of clothing selected by the fashion platform 104. The display control unit 512 displays information on at least one piece of clothes on the display unit 504.

  The user image acquisition unit 506 may acquire a user image transmitted from another device via the reception unit 518. For example, the user image acquisition unit 506 may acquire a user image transmitted from an imaging device separate from the consumer device 102 via the reception unit 518.

  The user information acquisition unit 508 may acquire user information transmitted from another device via the reception unit 518. For example, the user information acquisition unit 508 may acquire user information transmitted from an IoT device such as a body composition meter via the reception unit 518. Further, the user information acquisition unit 508 may acquire the user's body shape information transmitted from a stationary dedicated device including a laser measurement device that measures the user's body shape, via the reception unit 518. The body type information may include the size of the body part such as the size of the neck of the user, the size of the shoulder, the size of the sleeve, the size of the foot, the size of the chest circumference, and the size of the waist circumference. The transmitting unit 516 may transmit the figure information of the user measured using the stationary type device to the fashion platform 104.

  The user information acquisition unit 508 may acquire measurement information measured using a depth sensor via the reception unit 518. The measurement information may be information for identifying the unevenness of the heel of the clothes. The transmission unit 516 may transmit the measurement information measured using the depth sensor to the fashion platform 104.

  The user identification information acquisition unit 510 may acquire user identification information transmitted from another device via the reception unit 518. For example, the user information acquisition unit 508 may acquire user identification information transmitted from a server that provides an Internet service or a server that provides an SNS via the reception unit 518.

  FIG. 6 shows an example of the functional configuration of the fashion platform 104. The fashion platform 104 includes a fashion proposal platform 600 and a demand prediction platform 602.

  The fashion suggestion platform 600 estimates a user's body shape based on a user image including the user's body and user information including at least one of the user's height, weight, and gender, and applies clothes matching the user's body shape to the consumer device. Suggested at 102. The demand prediction platform 602 predicts the future demand for clothes using the big data, and provides the predicted demand prediction information to the manufacturer device 110.

  FIG. 7 shows an example of the functional configuration of the fashion proposal platform 600. The fashion proposal platform 600 includes a user identification information acquisition unit 700, a user information acquisition unit 702, a user image acquisition unit 704, a physical shape information generation unit 706, a clothes selection unit 720, a storage control unit 722, a clothes image acquisition unit 724, and a model image acquisition. A unit 726, an image generation unit 728, an information provision unit 730, a plan information generation unit 732, a user database 742, a clothing database 744, and a model database 746. Body type information generation unit 706 is, as an example of a configuration for generating body type information, part size derivation unit 708, eyebrow shape specification unit 710, derived part determination unit 712, part direction specification unit 714, clothes type specification unit 716, and A clothes size identification unit 718 is provided.

  The clothes database 744 stores information on a plurality of clothes. Specifically, the clothes database 744 is a clothes identification information for identifying clothes, a trade name of clothes, a color, a price, a size, a size of each part, a clothes image which is an image of clothes, a producer and a distributor. including. The clothes database 744 may store a plurality of clothes images taken from a plurality of directions with respect to clothes or clothes images of parts of clothes. The clothing database 744 may store 3D image data of clothing images.

  The model database 746 stores information of a person who is a model. Specifically, the model database 746 includes person identification information for identifying a person, the name of the person, a model image that is an image of the person, height, weight, sex, age, and the size of each part. The model database 746 may store a plurality of model images photographed from a plurality of directions with respect to a person or a plurality of model images photographed in different poses. The clothing database 744 may store three-dimensional image data of model images.

  The user identification information acquisition unit 700 acquires user identification information for identifying a user from the consumer device 102. The user identification information is, for example, a telephone number. The user information acquisition unit 702 acquires, from the consumer device 102, user information including at least one of the height, weight, age, and gender of the user. The user image acquisition unit 704 acquires a user image that is an image including the user's body from the consumer device 102.

  The body shape information generation unit 706 generates body shape information indicating the body shape of the user based on at least one of the user image acquired by the user image acquisition unit 704 and the user information acquired by the user information acquisition unit 702. The body type information generation unit 706 generates body type information including the size of the part of the user's body derived by the part size derivation unit 708.

  The eyebrow shape specifying unit 710 specifies the shape of the eyelid of the clothes worn by the user included in the user image. The heel shape specifying unit 710 may specify the unevenness of the heel of the clothes based on the measurement information of the depth sensor transmitted from the consumer device 102.

  The derived part determination unit 712 determines a part of the body of the user from which the size should be derived from each of the plurality of user images based on the shape of the heel of the user's clothes included in each of the plurality of user images. For example, the derived part determination unit 712 determines a first part of the user's body whose size should be derived using the first user image of the plurality of user images, and the second user of the plurality of user images. The image is used to determine a second part of the user's body whose size is to be derived. For example, the lead-out site determination unit 712 determines whether the shape of the clothes is close to the user's body shape, that is, whether the clothes are in close contact with each part of the body, from the shape of the heel of the clothes. Then, the derived part determination unit 712 determines a part where the shape of the clothes is close to the user's body shape for each user image. More specifically, when the lying area is formed around the button of the clothes worn by the user, the derivation site determination unit 712 determines that the shape of the clothes is close to the figure of the user.

  The part direction specifying unit 714 specifies the direction in which the body part of the user included in the user image is facing. The part direction specifying unit may specify a direction in which each part of the user included in each of the plurality of user images is directed.

  The clothing type identification unit 716 identifies the type of clothing worn by the user included in the user image. The clothing type identification unit 716 compares the information on the clothing detected from the user image with the information stored in the clothing database 744, and identifies the type of clothing included in the user image. The clothing size identification unit 718 identifies the size of each part of the clothing with reference to the clothing database 744 based on the type of clothing. Also, the clothing type identification unit 716 identifies a producer or a distributor of the clothing worn by the user, based on the information on the clothing detected from the user image and the information on the clothing stored in the clothing database 744. You may The clothing size specifying unit 718 may estimate the size of each part of the clothing based on the manufacturer or distributor of the clothing.

  The part size deriving unit 708 derives the size of the part of the user's body based on the user image and the user information. The part size deriving unit 708 is specified by the part of the clothing whose shape is determined by the parting shape determining unit 710, the part whose size is to be derived from each user image determined by the derived part determining unit 712, and the part direction specifying unit 714. The size of the body part of the user is derived based on at least one of the direction in which the part is facing and the size of each part of the clothing identified by the clothing size identifying unit 718.

  The derived part determination unit 712 determines a first part of the user's body whose size is to be derived using the first user image of the plurality of user images, and determines the second user image of the plurality of user images. When determining the second part of the body of the user whose size is to be derived, the part size derivation unit 708 derives the size of the first part based on the first user image and based on the second user image. To derive the size of the second part. The part size deriving unit 708 derives the size of the body part of the user based on the user image when the direction of the body part of the user specified by the part direction specifying unit 714 satisfies a predetermined condition. Do.

  The body type information generation unit 706 may determine the skeleton of the user in the user image, and estimate the length of the body part from the determination result of the skeleton and the height information included in the user information. Further, the body shape information generation unit 706 discriminates an image of the body part of the user in the user image, and estimates the length and thickness of the body part from the height information included in the part image and the user information. It is also good. In addition, when the user image is taken at a dedicated facility, the body shape information generation unit 706 may estimate the length and thickness of the body part using a mark laid on the background. Further, the body shape information generation unit 706 may generate body shape information indicating the body shape of the user from the user image and the user information using a machine learning model.

  The clothing selection unit 720 selects at least one clothing from the plurality of clothing based on the information on the plurality of clothing stored in the clothing database 744 and the body shape information indicating the body shape of the user. For example, the clothes selection unit 720 selects one or more clothes closer to the size of the user's body part included in the body shape information. The storage control unit 722 associates the at least one of the figure information indicating the figure of the user, the information on at least one piece of clothes selected by the clothes selecting unit 720, the user information, and the user image with the user identification information and the user database Store in 742.

  The clothing image acquisition unit 724 acquires a clothing image that is an image of at least one clothing selected by the clothing selection unit 720 from the clothing database 744. The model image acquisition unit 726 acquires a model image that is an image of a person different from the user from the model database 746. The clothing image acquisition unit 724 acquires a clothing image that is an image of clothing that is the same as or different in size from the at least one clothing selected by the clothing selection unit 720 based on the body shape information indicating the body shape of the person. .

  The image generation unit 728 generates a user composite image that is an image of a user wearing at least one piece of clothing selected by the clothing selection unit 720 based on the clothing image and the user image. Specifically, the image generation unit 728 generates a user composite image in which a clothes image is combined with a user's clothes region included in the user image. The image generation unit 728 generates a model composite image that is an image of a person wearing at least one piece of clothing selected by the clothing selection unit 720 based on the clothing image and the model image. Specifically, the image generation unit 728 generates a model composite image in which a clothes image is combined with a person's clothes region included in the model image.

  The plan information generation unit 732 generates plan information indicating a plan for improving the physical shape of the user, based on the physical shape information indicating the physical shape of the user and the physical shape information indicating the physical shape of the person. The plan information includes a meal menu, an exercise method, and a strength training method. Based on the user composite image generated by the image generation unit 728, the plan information generation unit 732 generates hairstyle information for proposing the user's hairstyle that matches the at least one clothes selected by the clothes selection unit 720. You may

  The plan information generation unit 732 may predict the future figure of the user based on figure information indicating the figure of the user. The plan information generation unit 732 may predict the type of the user's future figure based on the figure information and the user's gene information. For example, the body type may be classified according to the part where fat tends to be added. The plan information generation unit 732 may generate the plan information based on at least one of the predicted future body type and the type of body type of the user.

  The information providing unit 730 provides the consumer device 102 with at least one of the user composite image and the model image generated by the image generation unit 728. The information provision unit 730 also provides the consumer device 102 with the plan information generated by the plan information generation unit 732. Furthermore, the information providing unit 730 provides the consumer device 102 with clothes images and clothes prices stored in the clothes database 744. The information providing unit 730 may provide the hair style information generated by the plan information generating unit 732 to the consumer device 102. The information providing unit 730 may provide the consumer device 102 with plan information generated by the plan information generating unit 732 and based on the user's future body shape.

  FIG. 8 shows an example of information stored in the user database 742. The user database 742 stores telephone numbers, body type information, user information, user images, and proposal histories.

  The telephone number is an example of user identification information. The body type information includes the size of each part of the user's body such as the size around the user's neck, the shoulder width, the sleeve length, the foot length, the chest circumference, and the abdomen. The body shape information may further include dimensions regarding the thickness of the user's second arm, the thickness of the thigh, and the thickness of the calf. The user information includes information on height, weight, gender, age, and position of the user. The user information may include gene information of the user. The user image is an image obtained by imaging the user's body. The user image may be an image in which the whole body of the user is captured. The user image is at least one of an image taken from the front of the user, an image taken from the back of the user, an image taken from the side of the user, and an image taken with the user's arms spread. May be there. Also, the user image may be either a still image or a moving image. The proposal history includes clothes identification information for identifying clothes previously proposed to the user from the fashion proposal platform 600.

  FIG. 9 shows an example of the functional configuration of the demand prediction platform 602. The demand forecasting platform 602 includes a weather information acquisition unit 900, a survey result information acquisition unit 902, a sales record information acquisition unit 904, a degree of interest information acquisition unit 906, a purchase history information acquisition unit 908, a manufacturing related information acquisition unit 910, and user position information. An acquisition unit 912, a demand prediction unit 914, and an information providing unit 916 are provided.

  The weather information acquisition unit 900 acquires weather information indicating future weather. For example, the weather information acquisition unit 900 acquires at least one of a three-month seasonal forecast, a monthly weather forecast, a weekly weather forecast, and a weather forecast for the next day from a weather forecast site on the Internet.

  The survey result information acquisition unit 902 acquires survey result information indicating the result of survey of the user's preference regarding clothes. The survey result information may include web questionnaire results and questionnaire total information. The questionnaire may be made to select whether the user likes, dislikes, or is normal for each of the plurality of clothes. The questionnaire may be implemented in a manner that provides a reward for the questionnaire to the user.

  The sales performance information acquisition unit 904 acquires sales performance information indicating the sales performance of a plurality of clothes. The sales performance information acquisition unit 904 may acquire sales performance information from the manufacturer device 110 via the communication network 112. Sales performance information is the sales performance of clothing and other statistical information for each producer or distributor.

  The attention level information acquisition unit 906 acquires attention level information indicating the attention levels of a plurality of clothes. The attention level information is, for example, an index value indicating that a magazine, a newspaper, a media such as a television program, a presentation such as a fashion show, or an exhibition has been featured or featured. Further, the degree of attention information may be an index value indicating the number taken up in the media, the presentation or the exhibition, or the number featured.

  The purchase history information acquisition unit 908 acquires purchase history information indicating a purchase history of the user's clothes. The purchase history includes a purchase position of clothes. The purchase location may be a physical location of an actual store or a logical location of an EC site. The purchase history information acquisition unit 908 may acquire the purchase history of the user at the actual store through the communication network 112 from the actual store where the store device 108 is installed.

  The manufacturing related information acquisition unit 910 acquires manufacturing related information including raw material costs or processing costs. The manufacturing related information acquisition unit 910 acquires manufacturing related information from the garment manufacturer via the communication network 112.

  The user position information acquisition unit 912 acquires user position information indicating the position of the user. The user position information acquisition unit 912 acquires position information included in the user information stored in the user database 742 as user position information.

  The demand prediction unit 914 predicts the future demand of a plurality of clothes based on at least one of weather information, survey result information, sales record information, attention level information, purchase history information, and manufacturing related information. The demand prediction unit 914 may predict the future demand of a plurality of clothes using a conversion formula that converts the total result of the questionnaire that is the survey result information into a demand amount. The conversion formula may be prepared for each type of questionnaire, or may be prepared for each age or generation of consumers. The demand prediction unit 914 may predict the future demand for a plurality of clothes using a conversion formula that converts an index value that is attention level information into a demand amount. The conversion formula may be prepared for each type of media, presentation, or exhibition.

  The demand prediction unit 914 may predict the future importance of a plurality of clothes for each market such as a region or generation by using the purchase position included in the purchase history information or the user position indicated by the user position information. The demand prediction unit 914 may predict a future demand for a plurality of clothes based further on information about at least one piece of clothing provided from the information providing unit 730 of the fashion proposal platform 600.

  The demand prediction unit 914 may predict a future demand for a plurality of clothes using a machine learning model. The demand forecasting unit 914 may also forecast future demand for a plurality of clothes on a daily basis.

  The information providing unit 916 provides the manufacturer device 110 with information regarding future demand for a plurality of clothes. The information providing unit 916 may provide user information and user images stored in the user database 742 to the manufacturer device 110.

  FIG. 10 shows an example of the functional configuration of the store device 108. The store device 108 includes an imaging unit 1000, an imaging control unit 1002, a physical shape information generation unit 1006, a feature information generation unit 1007, a clothes selection unit 1020, a clothes image acquisition unit 1024, an image generation unit 1028, a display control unit 1029, a display unit 1031. , A clothes database 1044, a clothes evaluation database 1048, an operation input unit 1050, and a user identification unit 1052. The store device 108 may be a smart mirror.

  The body shape information generation unit 1006, the feature information generation unit 1007, the clothing selection unit 1020, the clothing image acquisition unit 1024, and the image generation unit 1028 may be provided at a position different from the store device 108. For example, the store device 108 includes a physical shape information generation unit 706, a clothes selection unit 720, a clothes image acquisition unit 724, and an image generation unit 728 included in the fashion platform 104, a physical shape information generation unit 1006, a feature information generation unit 1007, a clothes selection. The unit 1020, the clothing image acquisition unit 1024, and the image generation unit 1028 may be used. Note that each of the figure information generation unit 1006, the clothes selection unit 1020, the clothes image acquisition unit 1024, and the image generation unit 1028 is a body shape information generation unit 706, a clothes selection unit 720, a clothes image acquisition unit 724, and an image generation unit 728. And may have the same function. The user database 1042 may store information similar to the information stored in the user database 742. The clothes database 1044 may store information similar to the information stored in the clothes database and 744.

  The imaging control unit 1002 causes the imaging unit 1000 to capture a user image that is an image including the user's body existing in front of the display surface of the display unit 1031. The physical shape information generation unit 1006 generates physical shape information indicating the physical shape of the user based on the user image. The feature information generation unit 1007 generates feature information indicating features other than the figure of the user based on the user image. Features other than the user's figure may be the user's hairstyle, mood, and estimated age. Store device 108 may provide at least one of user images, body shape information, and feature information to fashion platform 104 and manufacturer device 110. The user database 1042 may further store user feature information.

  The clothing selection unit 1020 selects at least one clothing from the plurality of clothing based on the information on the plurality of clothing and the body shape information. The clothing selection unit 1020 may select at least one clothing from the plurality of clothing based on the information on the plurality of clothing, the body shape information, and the feature information. The clothes selection unit 1020 may select at least one clothes from among a plurality of clothes suitable for the current season, with reference to the season information stored in the clothes database 1044 in association with the clothes. The clothing selection unit 1020 may select at least one clothing that can be sold with reference to the clothing inventory information stored in the clothing database 1044. The clothing image acquisition unit 1024 acquires a clothing image that is an image of at least one clothing selected by the clothing selection unit 1020.

  In another example, the clothing selection unit 1020 selects at least one clothing combination from a plurality of clothing combinations based on information on a plurality of clothing and body shape information. The clothes selection unit 1020 refers to a database including a combination of a plurality of clothes coordinated by a celebrity or a stylist. The clothes selection unit 1020 selects at least one combination of clothes from among a plurality of clothes combinations included in the inventory information stored in the clothes database 1044, based on the coordinated combination of clothes. The clothing image acquisition unit 1024 acquires a clothing image that is an image of a plurality of clothes included in the combination of the plurality of clothes selected by the clothing selection unit 1020.

  The image generation unit 1028 generates a user composite image that is an image of a user wearing at least one piece of clothing selected by the clothing selection unit 1020 based on the clothing image and the user image. Specifically, the image generation unit 1028 generates a user composite image in which a clothing image is combined with an area of the user's clothing included in the user image. The image generation unit 1028 may generate, for each combination of a plurality of clothes, a plurality of user combined images in which a clothes image is combined with the area of the user's clothes included in the user image.

  The display control unit 1029 displays the user composite image on the display unit 1031. The display control unit 1029 causes the display unit 1031 to sequentially display a plurality of user composite images. Evaluation values are determined in advance for each of the plurality of clothes combinations. The evaluation values are stored in the clothes evaluation database 1048. The display control unit 1029 refers to the evaluation values stored in the clothes evaluation database 1048 and causes the display unit 1031 to display a plurality of user composite images in the order corresponding to the evaluation values. The display control unit 1029 acquires user identification information and a user name corresponding to the user identified by the user identification unit 1052 from the user database 1042. The display control unit 1029 causes the display unit 1031 to display the acquired user identification information and user name. The display control unit 1029 may cause the display unit 1031 to display the price of clothes stored in the clothes database 1044.

  The user specifying unit 1052 specifies a user based on the user identification information input to the operation input unit 1050 by the user and the user identification information stored in the user database 1042. The user identifying unit 1052 may identify the user by performing user face authentication based on the user image captured by the imaging unit 1000 and the user image stored in the user database 1042. The display control unit 1029 may cause the display unit 1031 to display the user name and the user identification information associated with the specified user.

  FIG. 11 shows an example of display contents displayed on the display unit 1031. The display unit 1031 displays a measurement button 1104, a send button 1105, a user composite image 1108, a left scroll button 1110, a right scroll button 1112, a pointer 1114, and a purchase amount 1116. The display unit 1031 may display at least one of the user name 1100 and the user identification information 1102. Instead of displaying the user composite image 1108 on the initial screen of the display unit 1031, an image obtained by photographing the user existing in front of the display surface of the display unit 1031 with the imaging unit 1000 may be displayed. The display control unit 1029 may acquire from the clothes database 1044 the number of the shelf on which the clothes included in the user composite image are actually displayed in the store. The display control unit 1029 may cause the display unit 1031 to display the acquired shelf number.

  The measurement button 1104, the send button 1105, the left scroll button 1110, and the right scroll button 1112 may be touch panel buttons. When the user touches each button, an operation corresponding to each button is executed. When the user operates the mouse and clicks the mouse in a state where the pointer 1114 is positioned on each button, an operation corresponding to each button may be executed.

  When the measurement button 1104 is selected, the body shape information generation unit 1006 generates body shape information based on the user image. The feature information generation unit 1007 may generate feature information based on the user image. Furthermore, after processing by the clothing selection unit 1020, the clothing image acquisition unit 1024, and the image generation unit 1028 shown in FIG. 10, the display unit 1031 displays the generated user composite image 1108.

  When the send button 1105 is selected, the store device 108 transmits the user composite image 1108 and the purchase price 1116 displayed on the display unit 1031 to the smartphone of the user. The smartphone is an example of the consumer device 102. When the left scroll button 1110 or the right scroll button 1112 is selected, the display control unit 1029 causes the display unit 1031 to execute a process of scrolling the user composite image 1108 in the left direction or the right direction, and the combination of the next recommended clothes Is displayed on the display unit 1031. When the user's credit card information is registered in the user database 1042 as store member information, the display control unit 1029 may cause the display unit 1031 to display a purchase button. When the purchase button is selected, the shop device 108 may perform the accounting process of the clothes displayed on the display unit 1031.

  FIG. 12 shows an example of a hardware configuration of a computer 1200 functioning as a consumer device 102. The computer 1200 according to the present embodiment includes a SoC 1210, a main memory 1222, a flash memory 1224, an antenna 1232, an antenna 1234, a display 1240, a microphone 1242, a speaker 1244, a camera 1246, a USB port 1252, and a card slot 1254.

  The SoC 1210 operates based on programs stored in the main memory 1222 and the flash memory 1224 and controls each unit. The antenna 1232 is a so-called cellular antenna. The antenna 1234 is a so-called WiFi (registered trademark) antenna. The SoC 1210 may implement various communication functions using the antenna 1232 and the antenna 1234. For example, the SoC 1210 may receive a program used by the SoC 1210 using the antenna 1232 or the antenna 1234 and store the program in the flash memory 1224.

  The SoC 1210 may implement various display functions using the display 1240. The SoC 1210 may implement various voice input functions using the microphone 1242. The SoC 1210 may implement various audio output functions using the speaker 1244. The SoC 1210 may realize various shooting functions using the camera 1246.

  The USB port 1252 implements USB connection. The card slot 1254 realizes connection with various cards such as an SD card. The SoC 1210 may receive a program used by the SoC 1210 from a device or memory connected to the USB port 1252 and a card connected to the card slot 1254 and store the program in the flash memory 1224.

  A program that is installed in the computer 1200 and causes the computer 1200 to function as the consumer device 102 may work on the SoC 1210 or the like to cause the computer 1200 to function as each unit of the consumer device 102. The information processing described in these programs is read by the computer 1200, and the imaging unit 500, the operation input unit 502, and the display are specific means in which the software and the various hardware resources described above cooperated. Unit 504, user image acquisition unit 506, user information acquisition unit 508, user identification information acquisition unit 510, display control unit 512, and communication unit 514. And the specific consumer device 102 according to the intended purpose is constructed | assembled by implement | achieving the calculation or processing of the information according to the intended purpose of the computer 1200 in this embodiment by these specific means.

  FIG. 13 schematically illustrates an example of a computer 1300 that functions as the fashion platform 104. The computer 1300 according to the present embodiment includes a CPU 1310 interconnected with a host controller 1392 and a CPU peripheral portion having a RAM 1330, a ROM 1320 connected to the host controller 1392 with an input / output controller 1394, a communication I / F 1340, a hard disk drive 13, and an input / output unit having an input / output chip 1380. The computer 1300 may include a GPU or an FPGA (Field-Programmable Gate Array) instead of the CPU 1310.

  The CPU 1310 operates based on programs stored in the ROM 1320 and the RAM 1330 to control each part. The communication I / F 1340 communicates with other devices via the communication network 112 in a wired or wireless manner. Also, the communication I / F 1340 functions as hardware that performs communication. The hard disk drive 1350 stores programs and data used by the CPU 1310.

  The ROM 1320 stores a boot program that the computer 1300 executes at startup, a program that depends on the hardware of the computer 1300, and the like. The input / output chip 1380 connects various input / output devices to the input / output controller 1394 via, for example, a parallel port, a serial port, a keyboard port, a mouse port, and the like.

  A program provided to the hard disk drive 1350 via the RAM 1330 is stored in a recording medium such as an IC card and provided by the user. The program is read from the recording medium, installed in the hard disk drive 1350 via the RAM 1330, and executed by the CPU 1310.

  A program that is installed in the computer 1300 and causes the computer 1300 to function as the fashion platform 104 may work on the CPU 1310 or the like to cause the computer 1300 to function as each part of the fashion platform 104. The information processing described in these programs is read into the computer 1300, whereby the user identification information acquisition unit 700, which is a specific means in which the software and the various hardware resources described above cooperate, user information acquisition Section 702, user image acquisition unit 704, figure type information generation unit 706, clothes selection unit 720, storage control unit 722, clothes image acquisition unit 724, model image acquisition unit 726, image generation unit 728, information provision unit 730, plan information generation Functions as a unit 732, a user database 742, a clothes database 744, and a model database 746. Furthermore, the information processing described in these programs is read by the computer 1300, and the weather information acquisition unit 900, which is a concrete means in which the software and the various hardware resources described above cooperated, the survey results Information acquiring unit 902, sales record information acquiring unit 904, attention level information acquiring unit 906, purchase history information acquiring unit 908, manufacturing related information acquiring unit 910, user position information acquiring unit 912, demand predicting unit 914, and information providing unit 916 Act as. And the specific fashion platform 104 according to the intended use is constructed | assembled by implement | achieving the calculation or processing of the information according to the intended use of the computer 1300 in this embodiment by these concrete means.

  FIG. 14 schematically illustrates an example of a computer 1400 that functions as the store device 108. The computer 1400 according to the present embodiment includes a CPU peripheral unit having a CPU 1410, a RAM 1430, and a graphic controller 1485 mutually connected by a host controller 1492; a ROM 1420 connected to the host controller 1492 by an input / output controller 1494; F1440, a hard disk drive 1450, a camera 1460, and an input / output unit having an input / output chip 1480. The computer 1400 may include a GPU or an FPGA (Field-Programmable Gate Array) instead of the CPU 1410.

  The CPU 1410 operates based on programs stored in the ROM 1420 and the RAM 1430 to control each part. The graphic controller 1485 acquires image data generated by the CPU 1410 or the like on a frame buffer provided in the RAM 1430 and displays the image data on the display 1490. The display 1490 may be an example of the display unit 1031. Alternatively, the graphic controller 1485 may include a frame buffer that stores image data generated by the CPU 1410 or the like.

  The communication I / F 1440 communicates with other devices via the communication network 112 in a wired or wireless manner. Also, the communication I / F 1440 functions as hardware for performing communication. The hard disk drive 1450 stores programs and data used by the CPU 1410.

  The ROM 1420 stores a boot program that the computer 1400 executes at startup, a program that depends on the hardware of the computer 1400, and the like. The input / output chip 1480 connects various input / output devices to the input / output controller 1494 via, for example, a parallel port, a serial port, a keyboard port, a mouse port, and the like.

  The program provided to the hard disk drive 1450 via the RAM 1430 is stored in a recording medium such as an IC card and provided by the user. The program is read from the recording medium, installed in the hard disk drive 1450 via the RAM 1430, and executed by the CPU 1410.

  A program that is installed in the computer 1400 and causes the computer 1400 to function as the store device 108 may work on the CPU 1410 or the like to cause the computer 1400 to function as each unit of the store device 108. The information processing described in these programs is read by the computer 1400, and the imaging unit 1000, the imaging control unit 1002, and the physical type are specific means in which the software and the various hardware resources described above cooperated. Information generation unit 1006, feature information generation unit 1007, clothes selection unit 1020, clothes image acquisition unit 1024, image generation unit 1028, display control unit 1029, display unit 1031, user database 1042, clothes database 1044, clothes evaluation database 1048, operation It functions as an input unit 1050 and a user identification unit 1052. And the specific store device 108 according to the use purpose is constructed | assembled by implement | achieving the calculation or processing of the information according to the use purpose of the computer 1400 in this embodiment by these specific means.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above embodiment. It is also apparent from the scope of the claims that the embodiments added with such alterations or improvements can be included in the technical scope of the present invention.

  The execution order of each process such as operation, procedure, step, and stage in the apparatus, system, program, and method shown in the claims, the description, and the drawings is particularly “before” or “prior to”. It should be noted that the output can be realized in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the specification, and the drawings, even if it is described using “first”, “next”, etc. for the sake of convenience, it means that it is essential to carry out in this order. It is not a thing.

DESCRIPTION OF SYMBOLS 100 Information provision system, 102 Consumer device, 104 Fashion platform, 106 Database, 108 Store device, 110 Producer device, 112 Communication network, 310 database, 500 Imaging part, 502 Operation input part, 504 Display part, 506 User image acquisition 5, 508 user information acquisition unit, 510 user identification information acquisition unit, 512 display control unit, 514 communication unit, 516 transmission unit, 518 reception unit, 600 fashion proposal platform, 602 demand forecasting platform, 700 user identification information acquisition unit, 702 User information acquisition unit, 704 User image acquisition unit, 706 Body shape information generation unit, 708 Site size derivation unit, 710 heel shape specification unit, 712 Derivation site determination unit, 714 Site direction specification unit 716 clothes type specifying unit 718 clothes size specifying unit 720 clothes selecting unit 722 storage control unit 724 clothes image acquiring unit 726 model image acquiring unit 728 image generating unit 730 information providing unit 732 plan information generating unit 742 user database 744 clothes database 746 model database 900 weather information acquisition unit 902 survey result information acquisition unit 904 sales result information acquisition unit 906 attention level information acquisition unit 908 purchase history information acquisition unit 910 manufacturing related information Acquisition unit, 912 user position information acquisition unit, 914 demand forecasting unit, 916 information provision unit, 1000 imaging unit, 1002 imaging control unit, 1006 physical information generation unit, 1007 feature information generation unit, 1020 clothes selection unit, 1024 clothes image acquisition 1028 Image generator 10 9 display control unit 1031 display unit 1042 user database 1044 clothes database 1048 clothes evaluation database 1050 operation input unit 1052 user identification unit 1100 user name 1102 user identification information 1104 measurement button 1105 transmission button 1108 User composite image, 1110 left scroll button, 1112 right scroll button, 1114 pointer, 1116 purchase price, 1200 computer, 1210 SoC, 1222 main memory, 1224 flash memory, 1232 antenna, 1234 antenna, 1240 display, 1242 microphone, 1244 speaker, 1246 camera, 1252 USB port, 1254 card slot, 1300 computer, 1310 PU, 1320 ROM, 1330 RAM, 1340 communication I / F, 1350 hard disk drive, 1380 I / O chip, 1392 host controller, 1394 I / O controller, 1400 computer, 1410 CPU, 1420 ROM, 1430 RAM, 1440 communication I / F, 1450 hard disk drive, 1460 camera, 1485 graphic controller, 1490 display, 1492 host controller, 1494 I / O controller

Claims (13)

A weather information acquisition unit for acquiring weather information indicating the future weather;
A demand prediction unit that predicts future demand for a plurality of clothes based on the weather information;
An information providing apparatus comprising: an information providing unit that provides information on future demand for the plurality of clothes. A survey result information acquisition unit that acquires survey result information indicating a user preference survey result on clothes;
The demand prediction unit further predicts future demand for the plurality of clothes based on the survey result information;
The information providing device according to claim 1. A sales performance information acquisition unit for acquiring sales performance information indicating the sales performance of the plurality of clothes;
The demand prediction unit further predicts future demand for the plurality of clothes based on the sales performance information;
The information providing apparatus according to claim 1 or 2. An attention level information acquisition unit that acquires attention level information indicating the attention levels of the plurality of clothes;
The demand prediction unit further predicts future demand for the plurality of clothes based on the attention level information;
The information providing apparatus according to any one of claims 1 to 3. A survey result information acquisition unit for acquiring survey result information indicating a survey result of user's preference regarding clothes;
A sales performance information acquisition unit for acquiring sales performance information indicating the sales performance of the plurality of clothes;
An attention level information acquisition unit that acquires attention level information indicating the attention levels of the plurality of clothes,
The demand forecasting unit predicts the future demand of the plurality of clothes based further on the survey result information, the sales record information, and the attention degree information.
The information providing device according to claim 1. A purchase history information acquisition unit for acquiring purchase history information indicating a purchase history of the user's clothes;
The demand prediction unit further predicts future demand for the plurality of clothes based on the purchase history information;
The information providing apparatus according to any one of claims 1 to 5. A user position information acquisition unit that acquires user position information indicating the position of the user;
The demand prediction unit predicts a future demand for the plurality of clothes for each region based on the user position information.
The information providing apparatus according to any one of claims 1 to 6. A clothes selection unit for selecting at least one clothes from the plurality of clothes based on information on the plurality of clothes and body shape information indicating a body shape of the user;
An information providing unit that provides the user with information on the at least one piece of clothing selected by the clothing selection unit;
The demand forecasting unit predicts the future demand of the plurality of clothes based further on the information on the at least one clothes provided to the user.
The information provision apparatus as described in any one of Claim 1 to 7. A user image acquisition unit that acquires a user image that is an image including the body of the user;
The information providing apparatus according to claim 8, further comprising: a body type information generation unit that generates body type information indicating the body type of the user based on the user image. It further comprises a manufacturing related information acquisition unit for acquiring manufacturing related information including raw material costs or processing costs,
The demand prediction unit further predicts future demand for the plurality of clothes based on the manufacturing related information;
The information providing device according to any one of claims 1 to 9. The demand prediction unit predicts a future demand for the plurality of clothes using a machine learning model.
The information providing device according to any one of claims 1 to 10. The demand prediction unit predicts future demand for the plurality of clothes on a daily basis.
The information providing device according to any one of claims 1 to 11. Obtaining weather information indicating future weather;
Predicting future demand for a plurality of clothes based on the weather information.

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