JP2023028679A - Information processing device, information processing method and information processing program - Google Patents

Abstract

To provide an information processing device, an information processing method, and an information processing program for holding a fair by inviting an article exhibitor at a timing when articles may be sold in electronic commerce.SOLUTION: In an information processing system 1 in which a terminal device 10 of a user U and an information providing device 100 are connected to each other by wire or wirelessly via a network so as to be able to communicate with each other, the information providing device 100 includes: an estimation unit that analyzes fluctuations in supply and demand of articles exhibited in electronic commerce and estimates a timing of holding an article fair and participants of the fair; and a provision unit that provides the participants with the timing of holding the article fair and automatically gathers the participants at the timing of holding the article fair to hold the fair.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Receive information on the products to be put up for auction and the price at which the auction starts, refer to the information that has the past successful bid status of the product, and if it is judged that the received price at the start of the auction is relatively high, the auction A technique for instructing a seller to change the starting price is disclosed.

JP-A-2003-316975

However, in the above conventional technology, the starting price of the auction is merely changed according to the price of similar products. In electronic commerce, the seller does not know when the product will be sold. Therefore, if it is possible to provide the exhibitor with a time when the product can be sold, an increase in sales can be expected.

The present application has been made in view of the above, and aims at holding a fair by inviting exhibitors during the period when products are sold in electronic commerce.

An information processing device according to the present application includes an estimation unit that analyzes fluctuations in supply and demand of products put up for electronic commerce and estimates when the product fair will be held and the participants of the product fair; a providing unit that provides the participants with the timing, and automatically gathers the participants at the timing of the product fair to hold the fair.

According to one aspect of the embodiment, a fair can be held by inviting sellers during the period when products are sold in electronic commerce.

FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. FIG. 2 is an explanatory diagram showing an outline of a processing method for automatically changing product information according to user attributes and time. FIG. 3 is an explanatory diagram showing an outline of the exhibition prediction system. FIG. 4 is an explanatory diagram showing an outline of processing when exhibitors are automatically gathered and a fair is held. FIG. 5 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 6 is a diagram illustrating a configuration example of a terminal device according to the embodiment; FIG. 7 is a diagram illustrating a configuration example of an information providing apparatus according to the embodiment; FIG. 8 is a diagram showing an example of a user information database. FIG. 9 is a diagram showing an example of the history information database. FIG. 10 is a diagram showing an example of the product information database. FIG. 11 is a flowchart illustrating a processing procedure according to the embodiment; FIG. 12 is a diagram illustrating an example of a hardware configuration;

Embodiments for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Outline of information processing method]
First, an outline of an information processing method performed by an information processing apparatus according to an embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. Note that FIG. 1 illustrates an example of proposing a change to a more appropriate exhibition title in electronic commerce (EC).

As shown in FIG. 1 , the information processing system 1 includes a terminal device 10 and an information providing device 100 . The terminal device 10 and the information providing device 100 are communicably connected to each other by wire or wirelessly via a network N (see FIG. 5). In this embodiment, the terminal device 10 cooperates with the information providing device 100 .

The terminal device 10 is a smart device such as a smartphone or tablet used by a user U (user), and communicates with an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a portable terminal device capable of performing The terminal device 10 has a screen such as a liquid crystal display and has a touch panel function. Accepts various operations for . An operation performed on an area where content is displayed on the screen may be an operation on the content. In addition, the terminal device 10 may be an information processing device such as a desktop PC (Personal Computer) or a notebook PC as well as a smart device.

The information providing device 100 cooperates with the terminal device 10 of each user U, and provides the terminal device 10 of each user U with API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various It is an information processing device that provides data, and is realized by a server device, a cloud system, or the like.

Also, the information providing device 100 may be an information processing device that provides some web service online to the terminal device 10 of each user U. FIG. For example, the information providing apparatus 100 provides, as web services, Internet connection, search service, SNS (Social Networking Service), electronic commerce (EC: Electronic Commerce), electronic payment, online game, online banking, online trading, accommodation/ticket reservation. , video/music distribution, news, maps, route search, route guidance, route information, operation information, weather forecast, etc. may be provided. In practice, the information providing apparatus 100 may cooperate with various servers that provide web services as described above, mediate web services, or take charge of web service processing.

Note that the information providing device 100 can acquire user information about the user U. FIG. For example, the information providing device 100 acquires information about attributes of the user U, such as the user's U gender, age, and area of residence. The information providing apparatus 100 stores and manages identification information indicating the user U (user ID, etc.) and information related to the attributes of the user U. FIG.

Further, the information providing apparatus 100 acquires various types of history information (log data) indicating actions of the user U from the terminal apparatus 10 of the user U or from various servers based on the user ID or the like. For example, the information providing device 100 acquires a location history, which is a history of the user U's location and date and time, from the terminal device 10 . The information providing apparatus 100 also acquires a search history, which is a history of search queries input by the user U, from a search server (search engine). Further, the information providing apparatus 100 acquires a viewing history, which is a history of content viewed by the user U, from the content server. The information providing apparatus 100 also acquires a purchase history (payment history), which is a history of product purchases and payment processing of the user U, from an electronic commerce server or a payment processing server. Further, the information providing apparatus 100 may acquire the exhibition history and sales history, which are the history of the user U's exhibition in the marketplace, from the electronic commerce server or the settlement server. In addition, the information providing apparatus 100 acquires the posting history, which is the posting history of the user U, from a posting server that provides a word-of-mouth posting service or an SNS server.

[1-1. Product name change recommendation on EC]
In the first embodiment of the present application, the information providing device 100 determines the relationship between the listing title (headline) attached to the product exhibited on an electronic commerce (EC) site/application and the sales of the product. Predict the sales before and after changing the title of products scheduled to be exhibited/on-exhibition based on this, and propose recommended titles based on the prediction results.

A product is an article (property) owned by a user, and is an article that can be exhibited on an EC site/application. In other words, the product is only one example of the trading object. In addition, the exhibition title includes the product name, catchphrase, catchphrase, and the like.

As shown in FIG. 1, the information providing device 100 transmits merchandise from the terminal device 10 of each user U to an EC site/application (mall, shop, auction, flea market, etc.) via a network N (see FIG. 5). exhibition registration is accepted (step S1).

Subsequently, the information providing device 100 aggregates the sales of each product exhibited by each user U (step S2).

Subsequently, the information providing device 100 receives a change of the exhibition title of the product from the user U who desires to change the exhibition title of the product being exhibited (step S3).

Subsequently, the information providing device 100 tabulates changes in sales before and after changing the exhibition title of the product (step S4).

At this time, the information providing apparatus 100 calculates the change in sales due to the change in the exhibition title as a percentage of the total sales of the EC site/app on the day so as not to be affected by the overall sales of the EC site/app. That is, the information providing apparatus 100 ratioizes changes in sales so as not to be affected by sales of the entire EC site/application. Also, the information providing apparatus 100 normalizes sales so as not to be affected by sales or the like.

For example, the information providing apparatus 100 performs the following processes (1) and (2) in view of the possibility that the change in the exhibited title is not the main cause of the change in sales.
(1) The information providing apparatus 100 normalizes based on the trend of change in sales of products in the same category when a sale or the like is being held for the entire service/category.
(2) The information providing apparatus 100 normalizes based on changes in sales (of the same category) on the same day when sales or advertisements are being carried out only for specific stores/commodities. For this purpose, a service policy master or the like is required.

Then, the information providing apparatus 100 aggregates and accumulates data on the number of products containing the same word after the change (competitiveness), attributes of purchasers, and the like in a set. For example, the information providing apparatus 100, for each product put up on the EC site/app, changes sales before and after changing the exhibition title including the product name, the number of products containing the same word after the change (competitiveness), and purchaser Aggregates and accumulates data related to the attributes of

Subsequently, the information providing device 100 performs machine learning based on the accumulated data, and estimates, for each product, an exhibition title leading to increased sales of the product (step S5).

Subsequently, the information providing device 100 proposes a change of the exhibition title to the terminal device 10 of the user U who is exhibiting the product or who is planning to exhibit the product, via the network N (see FIG. 5) (step S6). . When the user U inputs a new exhibition title on the screen for registering the exhibition of the product, the information providing apparatus 100 notifies the terminal device 10 of the user U of changing the exhibition title of the product to a more desirable one. may be suggested.

At this time, the information providing apparatus 100 constructs a model using the accumulated data as learning data, and uses the model to infer a change in sales when the exhibition title is changed to a more desirable exhibition title. For example, the information providing apparatus 100 constructs a model using “words”דattributes”דnumber of competing products”דchange in the number of purchasers”דchange in the number of views”, and uses the model to Infer changes in sales when title and listing title are changed.

In the present embodiment, the information providing device 100 changes the exhibition title candidates and the exhibition title of the current product based on the change in sales before and after the exhibition title of the product with similar purchaser attributes. It presents the degree (percentage, amount) and possibility of sales improvement in the event of a change, and recommends (recommended) a change in the exhibition title. That is, the information providing apparatus 100 determines how much the sales may change if the exhibition title of the current product is changed, based on the sales change before and after the exhibition title of the product with similar purchaser attributes is changed. Present and recommend changes to listing titles.

It should be noted that the information providing apparatus 100 may tally and accumulate changes in sales before and after the search tag is changed, similarly to the exhibition title. Furthermore, the information providing apparatus 100 may aggregate and accumulate changes in sales before and after the change in product description. That is, the information providing apparatus 100 tallies and accumulates changes in sales before and after changes in text data such as exhibition titles, search tags, and/or product descriptions.

In addition, when the sales increase suddenly when the image of the product is changed, the information providing apparatus 100 aggregates and accumulates changes in sales before and after the image of the product is changed. Then, the information providing apparatus 100 analyzes patterns of images of products whose sales have improved after the change, and also proposes how to take images (imaging methods, examples/samples) that sell well. For example, the information providing apparatus 100 analyzes the color tone, design, layout, etc. of the image data of a product whose sales have increased, guesses how to shoot an image that sells, and proposes how to shoot an image that sells.

For example, the information providing apparatus 100 provides exhibition-related data (text data and image data related to the product) including the exhibition title of each product put up on an EC site/application (mall, shop, auction, flea market, etc.). Understand the change in sales before and after the timing of the change, and propose changes to more favorable listing-related data.

In addition, the information providing apparatus 100 aggregates and accumulates changes in sales before and after changes in exhibition titles, search tags, images, etc. for each season, day of the week, time period, and the like. Then, the information providing apparatus 100 proposes to change the exhibition title, the search tag, the image, etc. that sell well according to the season, the day of the week, the time zone, and the like.

The seasons are not limited to the four seasons such as spring, summer, autumn, and winter, but also include Golden Week, rainy season, mountain/sea opening, Obon, New Year, entrance/graduation season, and the like. It also includes seasonal events such as heatstroke and hay fever outbreak/warning season. Moreover, the day of the week is not limited to seven days, and may be divided into weekdays/Saturdays, Sundays, and holidays (holidays). In addition, the time period is not limited to between a certain time and a certain time (for example, 8 o'clock, 8: 00-9: 00, etc.), morning / afternoon / night (or morning / noon / evening / night) It may be a division such as.

[1-2. Automatically change product information according to user attributes and time]
In the second embodiment of the present application, the information providing device 100 automatically provides product information according to the characteristics and trends of each season, such as the season, day of the week, and time of day, regarding sales of products currently exhibited on EC sites/apps. change. FIG. 2 is an explanatory diagram showing an outline of a processing method for automatically changing product information according to user attributes and time.

As shown in FIG. 2, the information providing device 100 allows the user U, who is the purchaser of the product, to purchase the product currently exhibited on the EC site/app from the terminal device 10 via the network N (see FIG. 5). A request for (order) or payment information is accepted (step S11).

Subsequently, the information providing device 100 acquires and aggregates information on attributes of the user U who purchased the product (step S12). For example, the information providing apparatus 100 provides demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral Attributes) and other attribute information is acquired and aggregated.

Subsequently, the information providing device 100 acquires and aggregates information on the attributes of the product purchased by the user U (step S13). For example, the information providing device 100 acquires and aggregates information on the code, product name, price, size/dimension, weight, standard, etc. as information on the attributes of the product purchased by the user U. In addition, the information providing apparatus 100 may acquire and aggregate information on product brands, categories, product targets (attributes of users expected as targets/purchasing groups), and the like. In addition, in the case of an auction, the information providing apparatus 100 may acquire and aggregate information on the starting price and the final successful bid price.

Subsequently, the information providing device 100 acquires and aggregates information on the quantity of products purchased by the user U (step S14). For example, the information providing device 100 acquires and aggregates information on the number of products purchased by the user U. Further, the information providing apparatus 100 may acquire and tally information on the number of products (the number of items) purchased by the user U at the same time.

Subsequently, the information providing device 100 acquires and tallies information about the time when the user U purchased the product (step S15). For example, the information providing apparatus 100 acquires and aggregates information about the season, day of the week, time period, etc., when the user U purchased the product.

Subsequently, the information providing device 100 aggregates product sales for each attribute of each user U who purchased the product and for each period, and accumulates product sales and product information at the time of sale (step S16). . For example, the information providing apparatus 100 aggregates and accumulates the data relating to the acquired information, product sales, and product information as a set.

Subsequently, when a new user U accesses the purchase page of the product, the information providing apparatus 100 displays information on the purchase page of the product according to the attributes of the user U and the time of access. automatically change the product information (step S17).

At this time, the information providing apparatus 100 constructs a model using the accumulated data as learning data, and uses the model to infer and automatically change the product information posted on the purchase page of the product. For example, the information providing apparatus 100 infers product information suitable for the attributes of the user U and the time of access based on the attributes of the user U and the time of access, and automatically changes the product information.

For example, the information providing device 100 changes the product title, search tag, image, and/or product description according to attributes such as age, gender, and occupation (student/office employee/public employee/freelancer) of the user U. do. In addition, the information providing apparatus 100 changes the product title, search tag, image, and/or product description for the morning when the user U accesses in the morning, and changes it to the product description for the evening when the user U accesses at night. Change to product title, search tag, image and/or product description. It is assumed that the product information for morning/night use is prepared for each user U attribute.

Subsequently, the information providing device 100 is posted on the purchase page of the product on the terminal device 10 of the new user U who has accessed the purchase page of the product via the network N (see FIG. 5). Product information is provided (step S18). Then, the user U browses the provided product information, and performs an operation for purchasing the product when purchasing the product (moving to step S11).

In this way, the information providing apparatus 100 automatically changes product information according to the attributes of the accessing user and the timing. For example, the information providing apparatus 100 changes the text data and/or image data related to the product being put up for sale on the EC site/app according to the attributes of the accessing user and the time zone. At this time, the information providing apparatus 100 registers a plurality of text data and image data, and switches between them according to the attributes of the accessing user and the time zone.

Furthermore, the information providing apparatus 100 may change the price range of the product according to the attributes of the accessing user and the time of year. In addition, the information providing apparatus 100 may change the appealing points of the product according to the attribute of the user who has accessed and the time.

In addition, the information providing apparatus 100 estimates the season and time zone in which product sales are high for users with specific attributes, and according to the desired number of items to be sold (target number), keywords to appeal to the user. or an image may be selected, and exhibition-related data (text data and image data relating to the product) including the exhibition title of the product may be changed.

In addition, the information providing apparatus 100 presumes products (competitive products) that compete with the products currently on display, and changes the product information so as to change at the same time as the competing products/change to avoid the competing products. You may choose the time period.

It should be noted that the information providing apparatus 100 can continue to improve the accuracy of inference by repeating learning when a change in product information results in an increase in sales.

For example, the information providing apparatus 100 can store “target (user attribute)”דproduct type”דprice”דtime (season, day of the week, time zone)”דtarget quantity”דproduct information (keyword, image) , etc., to automatically change product information according to the attributes of the accessing user and the time of day.

[1-3. Exhibition prediction system]
In the third embodiment of the present application, the information providing apparatus 100 analyzes product information in electronic commerce, predicts when a specific product will be put up for sale on an EC site/app, and sends information about the predicted timing to the purchaser. provide to FIG. 3 is an explanatory diagram showing an outline of the exhibition prediction system.

Buyers usually do not know when a particular product will be listed on an e-commerce site/app. In addition, purchasers who are heavy users predict by themselves the timing at which specific products will be put up for sale on EC sites/apps based on empirical rules and the like. Therefore, the information providing apparatus 100 analyzes product information, predicts the timing at which a specific product will be put up on an EC site/application, and sells the product to a person who wishes to purchase the product or a potential consumer who is likely to purchase the product. provide information about when

As shown in FIG. 3, the information providing apparatus 100 receives a request from the terminal device 10 of the user U to put up a product owned by the user U on the EC site/app via the network N (see FIG. 5). Accept (step S21).

Subsequently, the information providing device 100 acquires and tallies information about the attributes of the user U who put up the product (step S22). For example, the information providing apparatus 100 may provide demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral Attributes) and other attribute information is acquired and aggregated.

Subsequently, the information providing device 100 acquires and aggregates information on the attributes of the products put up by the user U (step S23). For example, the information providing apparatus 100 acquires and aggregates information on the brand, category, size, target user, etc. of the product as information on the attribute of the product put up by the user U.

Subsequently, the information providing device 100 acquires and aggregates information about the time when the user U put up the product (step S24). For example, the information providing device 100 acquires and aggregates information about the season, day of the week, time period, etc., when the user U put up the product.

Subsequently, the information providing apparatus 100 tallies the period (cycle) from when the user U purchases the product to when the product is sold on the EC site/application (step S25). That is, the information providing apparatus 100 counts the period from when the user U obtains the product to when the product is put up for sale on the EC site/application. For example, the information providing apparatus 100 acquires the time when the user U purchased (obtained) a product from the purchase history of the user U, and requests the listing of the product from the time when the user U purchases (obtains) the product. Aggregate the period up to the point of receipt.

At this time, the information providing apparatus 100 may aggregate the period for each attribute of the user U who is the seller and each attribute of the product. In addition, the information providing device 100 may aggregate the EC sites/apps where the user U put up the products.

Subsequently, the information providing device 100 estimates the exhibition timing according to the attributes of the user U, the attributes of the product, and the period (period) from purchase to sale of the product (step S26). For example, the information providing apparatus 100 predicts the exhibition timing (sale timing) of the product based on the product attribute and the seasonality of the product. In addition, the information providing device 100 predicts the timing of listing the product at the flea market based on the period during which the product sold well on the EC site/app and the cycle of selling/purchasing the product (the cycle of releasing the purchased product). .

Also, the information providing apparatus 100 may predict the timing of putting up the product based on the life cycle of the product. Further, the information providing apparatus 100 may predict the exhibition timing of the old model product based on the planned market launch time of the new model product.

Subsequently, the information providing device 100 provides the terminal device 10 of the user U with information on the predicted timing of putting up the product via the network N (see FIG. 5) (step S27).

For example, the information providing device 100, when a predetermined period of time has passed since the user U purchased the product 〇〇 on the EC site/application, and the cycle of selling/repurchasing the product (the cycle of releasing the purchased product) is reached, The terminal device 10 of the user U who can be the exhibitor is provided with a message such as "Would you like to exhibit the product XX?"

At this time, the information providing apparatus 100 may set the threshold value/lower limit value of the exhibition timing to be provided depending on the type of product. For example, if the product is a durable consumer product such as an electrical product or furniture, the information providing apparatus 100 sets the listing timing of the product only when a predetermined period (for example, one month) has passed since the user U purchased the product. may be restricted to provide information about It seems that there are few opportunities and users to sell the recently purchased durable consumer goods in a short period of time, and it is the user who proposes to sell the recently purchased durable consumer goods in a short period of time (immediate sale, etc.) This is because the impression of U is not good. It also has the purpose of deterring resale. In addition, if a large number of users sell the product in a short period of time, there is no need to encourage the listing, and it is considered that there is a surplus of products that have been exhibited in large quantities. If a predetermined period of time has not passed since the user U purchased the product, the information providing apparatus 100 may provide the information regarding the timing of listing the product after the predetermined period of time has passed.

In addition, the information providing device 100 informs the terminal device 10 of a person who wishes to purchase or a potential consumer who is likely to purchase the product, "The product XX is likely to be exhibited around XX", a predetermined period before the predicted exhibition timing. It provides a message such as

[1-4. E-commerce automatically collects exhibitors and holds a fair]
In the fourth embodiment of the present application, the information providing apparatus 100 analyzes supply and demand fluctuations of products put up on EC sites/apps, and recommends appropriate listing timings to sellers. Automatically gather exhibitors in the event and hold a fair. The fair may be a sale (seasonal bargain sale, period/quantity limited time sale, etc.), campaign, event, or the like. FIG. 4 is an explanatory diagram showing an outline of processing when exhibitors are automatically gathered and a fair is held.

Sellers usually don't know when to sell. Therefore, the information providing apparatus 100 analyzes the past demand-supply fluctuations of products similar to the products scheduled to be exhibited, estimates when the demand for the product will increase, and proposes an appropriate exhibition timing to the exhibitor. In addition, if the seller is already exhibiting the product, the information providing device 100 notifies the seller of the time when the demand for the product is expected to increase. This will automatically gather exhibitors and hold a fair.

As shown in FIG. 4, the information providing device 100 allows the user U, who is the purchaser of the product, from the terminal device 10 to purchase the product on display on the EC site/app via the network N (see FIG. 5). A request for (order) or payment information is accepted (step S31).

Subsequently, the information providing device 100 acquires and aggregates information on attributes of the user U who purchased the product (step S32). For example, the information providing apparatus 100 provides demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral Attributes) and other attribute information is acquired and aggregated.

Subsequently, the information providing device 100 acquires and aggregates information on the attributes of the product purchased by the user U (step S33). For example, the information providing device 100 acquires and aggregates information on the code, product name, price, size/dimension, weight, standard, etc. as information on the attributes of the product purchased by the user U. In addition, the information providing apparatus 100 may acquire and aggregate information on product brands, categories, product targets (attributes of users expected as targets/purchasing groups), and the like. In addition, in the case of an auction, the information providing apparatus 100 may acquire and aggregate information on the starting price and the final successful bid price.

Subsequently, the information providing device 100 acquires and aggregates information on the quantity of products purchased by the user U (step S34). For example, the information providing device 100 acquires and aggregates information on the number of products purchased by the user U. Further, the information providing apparatus 100 may acquire and tally information on the number of products (the number of items) purchased by the user U at the same time.

Subsequently, the information providing device 100 acquires and tallies information about the time when the user U purchased the product (step S35). For example, the information providing apparatus 100 acquires and aggregates information about the season, day of the week, time period, etc., when the user U purchased the product.

Next, the information providing device 100 aggregates product sales for each attribute and period of each user U who purchased the product, and accumulates the product sales (step S36). For example, the information providing apparatus 100 aggregates and accumulates the data relating to each item of information and product sales obtained as a set.

Subsequently, the information providing apparatus 100 estimates the users U who are the target of the fair and the timing of the fair based on the attributes of each user U who purchased the product and the sales corresponding to the time (step S37). .

Subsequently, the information providing device 100 provides information on the timing of the fair to the terminal device 10 of the user U, who is the target of the fair, via the network N (see FIG. 5) (step S38).

For example, the information providing device 100 sends, via the network N (see FIG. 5), to the terminal device 10 of the user U who is expected to participate in the fair, "The fair is scheduled to be held around XX. Would you like to participate?" ” and other messages.

At this time, the information providing device 100 sends, via the network N (see FIG. 5), to the terminal device 10 of the user U, who can be an exhibitor, "We are planning to hold a fair about XX. You may also provide a message such as

In addition, the information providing apparatus 100 sends, via the network N (see FIG. 5), to the terminal device 10 of the user U who is interested in the target product of the fair and who is expected to purchase it, "The fair is scheduled to be held about XX. You can also provide a message such as "The product you want is likely to be listed."

In this way, the information providing apparatus 100 estimates how much demand (needs) there is for each product in electronic commerce, determines products that are likely to sell, and transmits special features of the product. The information providing device 100 looks at the balance of receipt of each product, and in order to collect exhibitors of products whose sales are expected to increase among the fluctuating categories, asks the owner of the product, etc., "Let's sell this." !”, etc., and obtain the consent of the owner of the product, etc., and automatically hold a fair.

Since consumers are more sensitive to other EC sites/apps than flea markets, the information providing apparatus 100 collects and analyzes supply and demand fluctuations of each product from other EC sites/apps, Hold a fair at a flea market.

For example, in person-to-person transactions such as flea markets and auctions, it is difficult to accumulate sufficient information because the trading volume is small and the products are frequently replaced. If the information providing apparatus 100 provides multifaceted information, it is possible to accumulate sufficient information in a complex manner by tracking continuous transactions of the same product at online malls, shopping sites, and the like.

[2. Configuration example of information processing system]
Next, the configuration of the information processing system 1 including the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 5, the information processing system 1 according to the embodiment includes a terminal device 10 and an information providing device 100. As shown in FIG. These various devices are communicatively connected via a network N by wire or wirelessly. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Also, the number of devices included in the information processing system 1 shown in FIG. 5 is not limited to that illustrated. For example, in FIG. 5, only one terminal device 10 is shown for simplification of illustration, but this is only an example and is not limited, and two or more devices may be provided.

The terminal device 10 is an information processing device used by the user U. FIG. For example, the terminal device 10 includes smart devices such as smartphones and tablet terminals, feature phones, PCs (Personal Computers), PDAs (Personal Digital Assistants), game machines and AV equipment with communication functions, car navigation systems, smart watches, Wearable devices such as head-mounted displays, smart glasses, and the like.

In addition, the terminal device 10 is compatible with wireless communication networks such as LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation: fifth generation mobile communication system), Bluetooth (registered trademark), wireless LAN (Local It is possible to communicate with the information providing apparatus 100 by connecting to the network N via short-range wireless communication such as Area Network).

The information providing device 100 is, for example, a PC, a server device, a mainframe, a workstation, or the like. Note that the information providing apparatus 100 may be realized by cloud computing.

[3. Configuration example of terminal device]
Next, the configuration of the terminal device 10 will be described with reference to FIG. FIG. 6 is a diagram showing a configuration example of the terminal device 10. As shown in FIG. As shown in FIG. 6, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40. Prepare.

(Communication unit 11)
The communication unit 11 is connected to the network N (see FIG. 5) by wire or wirelessly, and transmits and receives information to and from the information providing apparatus 100 via the network N. FIG. For example, the communication unit 11 is implemented by a NIC (Network Interface Card), an antenna, or the like.

(Display unit 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic EL display (Organic Electro-Luminescent Display). Also, the display unit 12 is a touch panel display, but is not limited to this.

(Input unit 13)
The input unit 13 is an input device that receives various operations from the user U. For example, the input unit 13 has buttons and the like for inputting characters, numbers, and the like. The input unit 13 may be an input/output port (I/O port), a USB (Universal Serial Bus) port, or the like. Moreover, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13 . Also, the input unit 13 may be a microphone or the like that receives voice input from the user U. FIG. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives signals (radio waves) transmitted from GPS (Global Positioning System) satellites, and based on the received signals, position information (for example, latitude and longitude). That is, the positioning unit 14 positions the position of the terminal device 10 . GPS is merely an example of GNSS (Global Navigation Satellite System).

Also, the positioning unit 14 can measure the position by various methods other than GPS. For example, the positioning unit 14 may measure the position using various communication functions of the terminal device 10 as described below as auxiliary positioning means for position correction and the like.

(Wi-Fi positioning)
For example, the positioning unit 14 measures the position of the terminal device 10 using the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication network provided by each communication company. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the position of the terminal device 10 by measuring the distance to a nearby base station or access point.

(beacon positioning)
The positioning unit 14 may also use the Bluetooth (registered trademark) function of the terminal device 10 to measure the position. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting with a beacon transmitter connected by the Bluetooth (registered trademark) function.

(geomagnetic positioning)
Further, the positioning unit 14 positions the position of the terminal device 10 based on the geomagnetism pattern of the structure measured in advance and the geomagnetic sensor provided in the terminal device 10 .

(RFID positioning)
Further, for example, if the terminal device 10 has an RFID (Radio Frequency Identification) tag function equivalent to a contactless IC card used at station ticket gates, stores, etc., or has a function of reading an RFID tag In this case, the location used is recorded together with the information that the payment was made by the terminal device 10 . The positioning unit 14 may measure the position of the terminal device 10 by acquiring such information. Also, the position may be measured by an optical sensor provided in the terminal device 10, an infrared sensor, or the like.

The positioning unit 14 may measure the position of the terminal device 10 using one or a combination of the positioning means described above, if necessary.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10 . The connection may be wired connection or wireless connection. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices and wireless devices. In the example shown in FIG. 6, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an atmospheric pressure sensor 23, an air temperature sensor 24, a sound sensor 25, an optical sensor 26, a magnetic sensor 27, and an image sensor ( camera) 28.

The sensors 21 to 28 described above are only examples and are not limited. That is, the sensor unit 20 may be configured to include a part of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28. .

The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10 such as movement direction, speed, and acceleration of the terminal device 10 . The gyro sensor 22 detects physical movements of the terminal device 10 such as inclination in three axial directions based on the angular velocity of the terminal device 10 and the like. The atmospheric pressure sensor 23 detects the atmospheric pressure around the terminal device 10, for example.

Since the terminal device 10 includes the above-described acceleration sensor 21, gyro sensor 22, barometric pressure sensor 23, etc., techniques such as pedestrian dead-reckoning (PDR: Pedestrian Dead-Reckoning) using these sensors 21 to 23, etc. , the position of the terminal device 10 can be determined. This makes it possible to acquire indoor position information that is difficult to acquire with a positioning system such as GPS.

For example, a pedometer using the acceleration sensor 21 can calculate the number of steps, walking speed, and distance walked. Further, by using the gyro sensor 22, it is possible to know the traveling direction, the direction of the line of sight, and the inclination of the body of the user U. Also, from the atmospheric pressure detected by the atmospheric pressure sensor 23, the altitude at which the terminal device 10 of the user U is present and the number of floors can be known.

The temperature sensor 24 detects the temperature around the terminal device 10, for example. The sound sensor 25 detects sounds around the terminal device 10, for example. The optical sensor 26 detects the illuminance around the terminal device 10 . The magnetic sensor 27 detects, for example, geomagnetism around the terminal device 10 . The image sensor 28 captures an image around the terminal device 10 .

The atmospheric pressure sensor 23, the temperature sensor 24, the sound sensor 25, the optical sensor 26, and the image sensor 28 described above detect the atmospheric pressure, temperature, sound, and illuminance, respectively, or capture an image of the surroundings to detect the terminal device 10. It is possible to detect the surrounding environment and situations. In addition, it is possible to improve the accuracy of the location information of the terminal device 10 based on the surrounding environment and situation of the terminal device 10 .

(control unit 30)
The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input/output port, and various circuits. Also, the control unit 30 may be configured by hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmission unit 31 , a reception unit 32 and a processing unit 33 .

(Sending unit 31)
The transmission unit 31 receives, for example, various information input by the user U using the input unit 13, various information detected by the sensors 21 to 28 mounted on or connected to the terminal device 10, and information measured by the positioning unit 14. The position information of the terminal device 10 and the like can be transmitted to the information providing device 100 via the communication unit 11 .

(Receiver 32)
The receiving unit 32 can receive various information provided by the information providing apparatus 100 and requests for various information from the information providing apparatus 100 via the communication unit 11 .

(Processing unit 33)
The processing unit 33 controls the entire terminal device 10 including the display unit 12 and the like. For example, the processing unit 33 can output various types of information transmitted by the transmitting unit 31 and various types of information received by the receiving unit 32 from the information providing apparatus 100 to the display unit 12 for display.

(storage unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory device such as RAM (Random Access Memory) or flash memory, or a storage device such as HDD (Hard Disk Drive), SSD (Solid State Drive), or optical disk. be. Various programs, various data, and the like are stored in the storage unit 40 .

[4. Configuration example of information providing device]
Next, the configuration of the information providing device 100 according to the embodiment will be described using FIG. FIG. 7 is a diagram showing a configuration example of the information providing device 100 according to the embodiment. As shown in FIG. 7, the information providing device 100 has a communication section 110, a storage section 120, and a control section .

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Also, the communication unit 110 is connected to the network N (see FIG. 5) by wire or wirelessly.

(storage unit 120)
The storage unit 120 is implemented by, for example, a semiconductor memory device such as RAM (Random Access Memory) or flash memory, or a storage device such as HDD, SSD, or optical disk. As shown in FIG. 7, the storage unit 120 has a user information database 121, a history information database 122, and a product information database 123. FIG.

(User information database 121)
The user information database 121 stores user information about the user U. FIG. For example, the user information database 121 stores various information such as user U attributes. FIG. 8 is a diagram showing an example of the user information database 121. As shown in FIG. In the example shown in FIG. 8, the user information database 121 has items such as "user ID (Identifier)", "age", "gender", "home", "place of work", and "interest".

“User ID” indicates identification information for identifying the user U. The “user ID” may be the user U's contact information (telephone number, e-mail address, etc.), or may be identification information for identifying the user U's terminal device 10 .

"Age" indicates the age of the user U identified by the user ID. Note that the "age" may be information indicating a specific age of the user U (for example, 35 years old) or information indicating the age of the user U (for example, 30's). . Alternatively, the "age" may be information indicating the date of birth of the user U, or information indicating the generation of the user U (for example, born in the 80's). "Gender" indicates the gender of the user U identified by the user ID.

"Home" indicates location information of the home of the user U identified by the user ID. In the example shown in FIG. 8, "home" is represented by an abstract code such as "LC11", but may be latitude/longitude information or the like. Also, for example, "home" may be an area name or an address.

"Place of work" indicates location information of the place of work (school in the case of a student) of the user U identified by the user ID. In the example shown in FIG. 8, the "place of work" is illustrated as an abstract code such as "LC12", but may be latitude/longitude information or the like. Also, for example, the "place of work" may be an area name or an address.

"Interest" indicates the interest of the user U identified by the user ID. That is, "interest" indicates an object in which the user U identified by the user ID is highly interested. For example, the "interest" may be a search query (keyword) that the user U has entered into a search engine and searched for. In the example shown in FIG. 8, one "interest" is shown for each user U, but there may be more than one.

For example, in the example shown in FIG. 8, the age of the user U identified by the user ID "U1" is "twenties" and the gender is "male". Also, for example, the user U identified by the user ID "U1" indicates that the home is "LC11". Also, for example, the user U identified by the user ID "U1" indicates that the place of work is "LC12". Also, for example, the user U identified by the user ID "U1" indicates that he is interested in "sports".

Here, in the example shown in FIG. 8, abstract values such as "U1", "LC11", and "LC12" are used, but "U1", "LC11", and "LC12" are concrete values. It is assumed that information such as character strings and numerical values is stored. Hereinafter, abstract values may also be illustrated in diagrams relating to other information.

The user information database 121 is not limited to the above, and may store various types of information depending on the purpose. For example, the user information database 121 may store various types of information regarding the user U's terminal device 10 . In addition, the user information database 121 stores user U's demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral attributes (behavioral attributes), etc. Information about attributes may be stored. For example, the user information database 121 includes name, family structure, hometown (local), occupation, position, income, qualification, residence type (detached house, condominium, etc.), presence or absence of car, commuting time, commuting time, commuting time. Information such as routes, commuter pass sections (stations, lines, etc.), frequently used stations (other than the nearest station to your home or place of work), lessons (places, time zones, etc.), hobbies, interests, lifestyle, etc. may

(History information database 122)
The history information database 122 stores various types of information related to history information (log data) indicating user U's actions. FIG. 9 is a diagram showing an example of the history information database 122. As shown in FIG. In the example shown in FIG. 9, the history information database 122 has items such as "user ID", "location history", "search history", "browsing history", "purchase history", and "posting history".

“User ID” indicates identification information for identifying the user U. "Position history" indicates a position history, which is a history of the user's U position and movement. Also, "search history" indicates a search history that is a history of search queries input by the user U. FIG. "Browsing history" indicates a browsing history that is a history of contents browsed by the user U. FIG. "Purchase history" indicates the purchase history of the user U's purchases. In addition, “posting history” indicates a posting history that is a history of posts by the user U. FIG. In addition, the “posting history” may include questions about user U's property.

For example, in the example shown in FIG. 9, the user U identified by the user ID “U1” moves along the “location history #1”, searches along the “search history #1”, It indicates that the content was browsed according to the "Purchase history #1", the predetermined product etc. was purchased at the predetermined store etc. according to the "Purchase history #1", and the content was posted according to the "Posting history".

Here, in the example shown in FIG. 9, abstract history such as "U1", "location history #1", "search history #1", "browsing history #1", "purchase history #1" and "posting history #1" "U1", "location history #1", "search history #1", "browsing history #1", "purchase history #1" and "posting history #1" , information such as specific character strings and numerical values are stored.

Note that the history information database 122 may store various types of information, not limited to the above, depending on the purpose. For example, the history information database 122 may store the user U's usage history of a predetermined service. In addition, the history information database 122 may store the user U's store visit history, facility visit history, and the like. In addition, the history information database 122 may store a history of payment (electronic payment) using the terminal device 10 of the user U, and the like.

(Product information database 123)
The product information database 123 stores various types of information related to history information (log data) indicating user U's actions. FIG. 10 is a diagram showing an example of the product information database 123. As shown in FIG. In the example shown in FIG. 10, the product information database 123 has items such as "product ID", "exhibition title", "product attribute", "exhibitor attribute", "purchasing group", and "exhibition timing".

"Product ID" indicates identification information for identifying the product. For example, the product ID indicates a product code, product name, or the like. Also, the "exhibition title" indicates the exhibition title of the product exhibited on the EC site/application. In addition, "product attribute" indicates the attribute of the product exhibited on the EC site/application. Also, the "seller attribute" indicates the attribute of the seller who put up the product on the EC site/application. "Purchasing demographic" indicates the purchasing demographic of the product exhibited on the EC site/application. Also, "exhibition timing" indicates the exhibition timing suitable for listing the product on the EC site/application.

For example, in the example shown in FIG. 10, the product identified by the product ID “product #A” is posted on the EC site/app with “exhibition title #A” and “product attribute #A”, and the main The attribute of the exhibitor is "exhibitor attribute #A", and the attribute of the main purchaser of the product is "purchasing group #A", indicating that it is preferable to exhibit at the "exhibition timing".

Here, in the example shown in FIG. 10, "product #A", "exhibition title #A", "product attribute #A", "exhibitor attribute #A", "purchasing group #A", and "exhibition timing #A ”, “product #A”, “exhibition title #A”, “product attribute #A”, “exhibitor attribute #A”, “purchasing group #A” and “exhibition Timing #A" stores information such as specific character strings and numerical values.

It should be noted that the product information database 123 may store various types of information, not limited to the above, depending on the purpose. For example, the product information database 123 may store identification information or the like indicating EC sites/applications on which products are exhibited. In addition, the product information database 123 may store the seasons, days of the week, time periods, and the like, when product sales change. In addition, the product information database 123 may store a period (period) from when the user U purchases the product on the EC site/application to when the product is sold.

(control unit 130)
Returning to FIG. 7, the description is continued. The control unit 130 is a controller, and for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like controls the information providing apparatus 100. Various programs (corresponding to an example of an information processing program) stored in the internal storage device are executed by using a storage area such as a RAM as a work area. In the example illustrated in FIG. 7 , the control unit 130 has an acquisition unit 131 , an aggregation unit 132 , an estimation unit 133 , a change unit 134 and a provision unit 135 .

(Acquisition unit 131)
The acquisition unit 131 acquires a search query input by the user U. For example, the acquisition unit 131 acquires the search query via the communication unit 110 when the user U inputs a search query into a search engine or the like and performs a keyword search.

The acquisition unit 131 also acquires user information about the user U via the communication unit 110 . For example, the acquisition unit 131 acquires identification information (user ID, etc.) indicating the user U, location information of the user U, attribute information of the user U, and the like, from the terminal device 10 of the user U. FIG. Further, the acquisition unit 131 may acquire identification information indicating the user U, attribute information of the user U, and the like when the user U is registered as a user. Acquisition unit 131 then registers the user information in user information database 121 of storage unit 120 .

In addition, the acquisition unit 131 acquires various types of history information (log data) indicating actions of the user U via the communication unit 110 . For example, the acquisition unit 131 acquires various types of history information indicating actions of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. The acquisition unit 131 then registers various types of history information in the history information database 122 of the storage unit 120 .

In this embodiment, the acquisition unit 131 acquires information about the attributes of the user U who has exhibited/purchased a product on the EC site/application. For example, the acquisition unit 131 acquires demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral to acquire information about attributes such as

In addition, the acquisition unit 131 acquires information about the attribute of the product purchased by the user U. For example, the acquisition unit 131 acquires information on the code, product name, price, size/dimension, weight, standard, etc. as information on attributes of the product purchased by the user U. In addition, the acquisition unit 131 may acquire information about the brand and category of the product, the target of the product (attributes of users expected as target/purchasing group), and the like. In addition, in the case of an auction, the acquisition unit 131 may acquire information about the starting price and the final successful bid price.

The acquisition unit 131 also acquires information about the quantity of products purchased by the user U. For example, the acquisition unit 131 acquires information about the number of products purchased by the user U. In addition, the acquisition unit 131 may acquire information about the number of products (the number of items) purchased by the user U at the same time.

In addition, the acquisition unit 131 acquires information about when the user U purchased the product. For example, the acquisition unit 131 acquires information about the season, day of the week, time period, and the like, when the user U purchased the product.

(Aggregating unit 132)
The tabulation unit 132 tabulates the attributes of the products being exhibited in the electronic commerce, the attributes of the purchasers, and the timing of the purchase. At this time, the tallying unit 132 tallies information about attributes of the user U who purchased the product. In addition, the tabulation unit 132 tabulates information on attributes of products purchased by the user U. In addition, the tallying unit 132 tallies information about the quantity of products purchased by the user U. In addition, the tallying unit 132 tallies information about the time when the user U purchased the product. Then, the tallying unit 132 tallies the sales of the product for each attribute and period of each user U who purchased the product.

In addition, the counting unit 132 counts the period (period) from when the user U purchases the product to when the product is sold on the EC site/application. That is, the tallying unit 132 tallies the period from when the user U obtains the product on the EC site/application to when the product is put up for sale. For example, the aggregation unit 132 acquires the time when the user U purchased (acquired) the product from the purchase history of the user U, and receives the listing request for the product from the time when the user U purchases (acquires) the product. Aggregate the period up to the point in time.

At this time, the tallying unit 132 may tally the period for each attribute of the user U who is the exhibitor and each attribute of the product. In addition, the counting unit 132 may also count EC sites/applications on which the user U put up products.

In addition, the tallying unit 132 tallies the sales of each product put up by each user U. For example, the tallying unit 132 tallies changes in sales before and after the exhibition title of the product is changed. At this time, the tabulating unit 132 may tabulate data on the number of products containing the same word after the change (competitiveness), attributes of purchasers, etc., in a set (group). For example, for each product exhibited on the EC site/app, the aggregation unit 132 determines the change in sales before and after the change in the exhibition title including the product name, the number of products containing the same word after the change (competitiveness), and the purchaser's Aggregate data related to attributes etc. in sets.

It should be noted that the tabulation unit 132 may tabulate changes in sales before and after the search tag is changed, similarly to the exhibition title. Furthermore, the tabulation unit 132 may tabulate changes in sales before and after the change in product description. That is, the aggregation unit 132 may aggregate changes in sales before and after changes in text data such as exhibition titles, search tags, and/or product descriptions. In addition, when the sales increase suddenly when the image of the product is changed, the counting unit 132 also totals the change in sales before and after the change of the image of the product.

(Estimation unit 133)
The estimating unit 133 estimates the sales before and after the change in the exhibition title of the product that is being exhibited based on the relationship between the exhibition title and the sales of the product that has been exhibited in electronic commerce in the past. For example, the estimating unit 133 estimates sales before and after changing the product description of a product that is currently being put up based on the relationship between the product description and the sales of products that have been put up for sale in electronic commerce in the past. In addition, the estimation unit 133 estimates the sales before and after the change of the search tag of the product being put up based on the relationship between the search tag and the sales relating to the product that was put up in the past in electronic commerce. Also, the estimation unit 133 estimates the sales before and after the change of the image data of the product currently being put up based on the relationship between the image data and the sales relating to the product put up for sale in the past in electronic commerce.

In addition, the estimation unit 133 estimates competing products based on the attributes of the products being put up for electronic commerce, the attributes of the purchasers, and the timing of purchase.

In addition, the estimation unit 133 analyzes the product information of the product that is being exhibited in electronic commerce, and estimates the exhibition timing at which the product is exhibited. For example, the estimating unit 133 analyzes the period from purchase to sale of a product put up for electronic commerce, and estimates the exhibition timing at which the product may be put up for sale. In addition, the estimation unit 133 analyzes the timing at which the sales of the product put up in electronic commerce change, and estimates the appropriate exhibition timing for putting the product up for sale.

In addition, the estimation unit 133 analyzes the product information of the products currently put up on the online shopping mall, and estimates the timing at which the products will be put up for sale in inter-individual transactions.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates the timing of the product fair and the participants of the fair. For example, the estimation unit 133 analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates the timing of the product fair and the exhibitors of the products. In addition, the estimation unit 133 analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates the timing of the product fair and the purchasers of the products.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of the products put up for electronic commerce, and estimates potential exhibitors of the products and the timing of putting the products up.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of products put up for electronic commerce, estimates products that are expected to increase in sales, and estimates when the estimated product fair will be held and who will exhibit the products. .

In addition, the estimation unit 133 analyzes supply and demand fluctuations of the products put up on the electronic shopping mall, and estimates the timing of the product fair and the exhibitors of the products in transactions between individuals.

(Change unit 134)
The changing unit 134 converts the product information according to the sales characteristics of the product being exhibited in the electronic commerce based on the attribute of the product being exhibited in the electronic commerce, the attribute of the purchaser, and the timing of purchase. change automatically.

For example, the changing unit 134 may change the attribute of the product being exhibited in electronic commerce, the attribute of the purchaser, and the aggregate result of the timing of purchase, according to the seasonal characteristics of the sales of the product being exhibited in electronic commerce. Automatically change product information. In addition, the changing unit 134, based on the aggregated results of the attributes of the products being put up for electronic commerce, the attributes of the purchasers, and the timing of purchase, according to the characteristics of the sales of the products being put up for electronic commerce for each day Automatically change product information. In addition, the changing unit 134 changes the characteristics of the sales of the product being exhibited in the electronic commerce according to the characteristics of the sales of the product being exhibited in the electronic commerce based on the aggregate result of the attribute of the product being exhibited in the electronic commerce, the attribute of the purchaser, and the timing of purchase. to automatically change product information.

In addition, the changing unit 134 changes the attribute of the product being exhibited in electronic commerce, the attribute of the purchaser, and the purchase price based on the total result of the attribute of the product being exhibited in electronic commerce, the attribute of the purchaser, and the timing of purchase. Automatically change product information according to the characteristics of each period.

For example, the changing unit 134, based on the attribute of the product being exhibited in electronic commerce, the attribute of the purchaser, and the aggregate result of the timing of purchase, according to the characteristics of each period related to the sales of the product being exhibited in electronic commerce Automatically change product prices.

In addition, the changing unit 134, based on the attribute of the product being exhibited in electronic commerce, the attribute of the purchaser, and the total result of the timing of purchase, according to the characteristics of each period regarding the sales of the product being exhibited in electronic commerce To automatically change the appealing points of a product.

Also, the changing unit 134 automatically changes the product information according to the estimated product information of the competing product.

(Providing unit 135)
The provision unit 135 proposes a recommended exhibition title based on the estimation result of the sales before and after the exhibition title of the currently exhibited product is changed. For example, the providing unit 135 proposes to change the product name included in the exhibition title of the product being put up based on the estimated sales before and after changing the exhibition title of the product being put up. In addition, the providing unit 135 proposes a change in the catchphrase included in the exhibition title of the currently exhibited product based on the estimated sales before and after the exhibition title of the currently exhibited product is changed.

In addition, the provision unit 135 proposes a recommended product description based on the estimation result of the sales before and after changing the product description of the product on display. In addition, the providing unit 135 proposes a recommended search tag based on the estimated sales before and after the change of the search tag of the product being exhibited.

In addition, the providing unit 135 proposes a recommended method of capturing image data based on the estimation results of sales before and after the image data of the product being exhibited is changed. For example, the providing unit 135 proposes a recommended change in color of the image data based on the estimated sales before and after changing the image data of the product on display. In addition, the providing unit 135 proposes a recommended layout change of the image data based on the estimated sales before and after the change of the image data of the product on display.

In addition, the provision unit 135 provides the purchase candidate of the product with the estimated exhibition timing by analyzing the product information of the product currently exhibited in the electronic commerce.

For example, the providing unit 135 analyzes the period from purchase to sale of a product put up for electronic commerce, and determines the possibility that the product will be put up at the estimated exhibition timing a certain period before the estimated exhibition timing. To provide a message to a prospective purchaser of a product to convey something.

In addition, the providing unit 135 sends a message prompting the listing of the product at the estimated listing timing a predetermined period before the listing timing estimated by analyzing the period from purchase to sale of the product put up for electronic commerce. It is provided to potential prospective exhibitors of the product.

In addition, the providing unit 135 provides the potential exhibitor of the product with the estimated exhibit timing by analyzing the product information of the product currently exhibited in electronic commerce. For example, the provision unit 135 provides a potential product exhibitor with a message prompting the potential product exhibitor to exhibit the product at the estimated product exhibition timing, a predetermined period before the estimated product exhibition timing.

In addition, the estimation unit 133 analyzes the attributes of products exhibited in electronic commerce, the attributes of the seller of the products, the purchaser demographics of the products, the period from purchase to sale of the products, and the timing of changes in sales of the products. Estimate the appropriate listing timing for listing.

For example, the providing unit 135 analyzes the product purchase demographic, the period from purchase to sale of the product, and the time when the sales of the product change, and estimates the exhibition timing (the exhibition timing suitable for listing the product). To provide a potential person planning to exhibit a product with a message prompting him/her to exhibit the product at an estimated exhibition timing before a predetermined period.

In addition, the providing unit 135, before the intended period from the exhibition timing (the exhibition timing suitable for listing the product) estimated by analyzing the period from purchase to sale of the product and the timing when the sales of the product change , to provide a purchase applicant with a message informing that there is a possibility that the product will be put up for sale at the estimated exhibition timing.

In addition, the providing unit 135 provides the purchaser of the product with the timing of listing in interpersonal transactions, which is estimated by analyzing the product information of the product being put up on the electronic shopping mall.

In addition, the provision unit 135 provides the participants with the timing of the product fair, and automatically gathers the participants at the time of the product fair to hold the fair. For example, the providing unit 135 provides the exhibitor with the timing of the product fair, and automatically gathers the exhibitors at the time of the product fair to hold the fair. In addition, the providing unit 135 provides the purchaser with the timing of the merchandise fair, and automatically gathers the purchasers at the timing of the merchandise fair to hold the fair.

In addition, the providing unit 135 provides the potential exhibitor of the product with the estimated product listing timing by analyzing supply and demand fluctuations of the product put up for electronic commerce.

In addition, the providing unit 135 provides a potential product exhibitor with a message prompting them to exhibit their product at the product fair for a predetermined period before the time when the product fair is held. Further, the providing unit 135 provides the product purchase applicants with a message prompting them to participate in the product fair for a predetermined period before the time when the product fair is held.

In addition, the providing unit 135 provides the participants with the timing of the product fair in interpersonal transactions estimated by analyzing the supply and demand fluctuations of the products put up on the electronic shopping mall, and participates in the timing of the product fair. Automatically gather people and hold a fair.

[5. Processing procedure]
Next, a processing procedure by the information providing apparatus 100 according to the embodiment will be described with reference to FIG. 11 . FIG. 11 is a flowchart illustrating a processing procedure according to the embodiment; Note that the processing procedure described below is repeatedly executed by the control unit 130 of the information providing apparatus 100 .

As shown in FIG. 11, the tallying unit 132 of the information providing device 100 tallies information about the attribute of the user U who exhibited/purchased on the EC site/app acquired by the acquiring unit 131 (step S101).

Subsequently, the tallying unit 132 of the information providing device 100 tallies the information related to the attributes of the products exhibited/purchased on the EC site/application acquired by the acquiring unit 131 (step S102).

Subsequently, the tallying unit 132 of the information providing device 100 tallies the information on the product purchase timing (the time when the product was purchased) in the EC site/application acquired by the acquiring unit 131 (step S103).

Subsequently, the tallying unit 132 of the information providing device 100 tallies the information on the sales of each product on the EC site/application (step S104).

Subsequently, the tallying unit 132 of the information providing device 100 tallies information about changes in sales before and after the change in the exhibition title of each product on the EC site/app (step S105). For example, the tallying unit 132 tallies changes in sales before and after changes in product listing titles, search tags, product descriptions, image data, and the like.

Subsequently, the estimating unit 133 of the information providing device 100 estimates recommended exhibition titles and the like based on the aggregated results (step S106). In other words, the estimating unit 133 estimates, based on the aggregated result, an exhibition title or the like that is expected to increase in sales over the current level.

Subsequently, the changing unit 134 of the information providing apparatus 100 determines the sales of the products being exhibited in the electronic commerce based on the aggregated results regarding the attributes of the products being exhibited in the EC site/application, the attributes of the purchasers, and the timing of purchase. The product information is automatically changed according to the characteristics of each period (step S107).

Subsequently, the estimating unit 133 of the information providing device 100 determines the attribute of the user U who exhibited/purchased on the EC site/app, the attribute of the product, the period (period) from purchase to sale of the product, and fluctuations in supply and demand of the product. Then, the exhibition timing, the user U who will be the target of the fair, and the timing of the fair are estimated (step S108).

Subsequently, the providing unit 135 of the information providing device 100 transmits, via the communication unit 110, to the terminal device 10 of the user U, who is the exhibitor or prospective exhibitor, a recommended exhibition title, exhibition timing, and the holding of the fair. Information about the timing is provided (step S109). Further, the providing unit 135 may propose a setting for automatically changing product information (a setting for allowing automatic change of product information). In addition, the providing unit 135 provides, via the communication unit 110, the terminal device 10 of the user U, who is likely to purchase the product, with information about the exhibition timing of the exhibitor and the holding time of the fair.

[6. Modification]
The terminal device 10 and the information providing device 100 described above may be implemented in various different forms other than the above embodiments. So, below, the modification of embodiment is demonstrated.

In the above embodiment, part or all of the processing executed by the information providing device 100 may actually be executed by the terminal device 10 . For example, the processing may be completed stand-alone (by the terminal device 10 alone). In this case, it is assumed that the terminal device 10 has the functions of the information providing device 100 in the above embodiment. In addition, in the above-described embodiment, the terminal device 10 cooperates with the information providing device 100, so from the user U's point of view, it appears that the terminal device 10 is executing the processing of the information providing device 100 as well. That is, from another point of view, it can be said that the terminal device 10 includes the information providing device 100 .

In the above-described embodiment, the information providing apparatus 100, in accordance with settings made by the user U, recommends changing product names in EC, automatically changes product information in accordance with user attributes and timing, an exhibition prediction system, and A fair may be held by automatically gathering exhibitors in combination as appropriate. For example, the information providing apparatus 100 may perform all processes simultaneously or selectively.

[7. effect〕
As described above, the information processing device (information providing device 100) according to the present application analyzes supply and demand fluctuations of products exhibited in electronic commerce, and estimates the timing of the product fair and the participants of the fair. An estimating part 133 and a providing part 135 for providing participants with the timing of the merchandise fair and automatically gathering participants at the timing of the merchandise fair to hold the fair.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of the products put up for electronic commerce, and estimates the timing of the product fair and the exhibitors of the products. The providing unit 135 provides the exhibitor with the timing of the merchandise fair, and automatically gathers the exhibitors at the merchandise fair timing to hold the fair.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates the timing of the product fair and the purchasers of the products. The providing unit 135 provides the time of the merchandise fair to the purchasers, automatically gathers the purchasers at the time of the merchandise fair, and holds the fair.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of the products put up for electronic commerce, and estimates potential exhibitors of the products and the timing of putting the products up. The provision unit 135 provides the potential exhibitor of the product with the product exhibition timing.

In addition, the providing unit 135 provides a potential product exhibitor with a message prompting them to exhibit their product at the product fair for a predetermined period before the time when the product fair is held.

Further, the providing unit 135 provides the product purchase applicants with a message prompting them to participate in the product fair for a predetermined period before the time when the product fair is held.

In addition, the estimation unit 133 analyzes supply and demand fluctuations of products put up for electronic commerce, estimates products that are expected to increase in sales, and estimates when the estimated product fair will be held and who will exhibit the products. .

In addition, the estimation unit 133 analyzes supply and demand fluctuations of the products put up on the electronic shopping mall, and estimates the timing of the product fair and the exhibitors of the products in transactions between individuals. The providing unit 135 provides the participants with the timing of the merchandise fair in inter-individual transactions, and automatically gathers the participants at the timing of the merchandise fair to hold the fair.

By any one or a combination of the processes described above, the information processing apparatus according to the present application can invite exhibitors and hold a fair at the time when products are sold in electronic commerce.

[8. Hardware configuration]
Also, the terminal device 10 and the information providing device 100 according to the above-described embodiments are implemented by a computer 1000 configured as shown in FIG. 12, for example. The information providing apparatus 100 will be described below as an example. FIG. 12 is a diagram illustrating an example of a hardware configuration; The computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output I/F (Interface) 1060, an input I/F 1070, and a network I/F 1080 are buses. It has a form connected by 1090.

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic unit 1030 is implemented by, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used for various calculations by the arithmetic device 1030 . The secondary storage device 1050 is a storage device in which data used for various calculations by the arithmetic device 1030 and various databases are registered. State Drive), flash memory, or the like. The secondary storage device 1050 may be an internal storage or an external storage. Also, the secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. Also, the secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

The output I/F 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various information such as a display, a projector, and a printer. (Digital Visual Interface), HDMI (registered trademark) (High Definition Multimedia Interface), and other standardized connectors. Also, the input I/F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, buttons, scanner, etc., and is realized by, for example, USB.

Also, the output I/F 1060 and the input I/F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

Also, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I/F 1060 and the input I/F 1070 may also be integrated as an input/output I/F.

Note that the input device 1020 includes, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), and tapes. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like.

Network I/F 1080 receives data from other devices via network N and sends the data to arithmetic device 1030, and also transmits data generated by arithmetic device 1030 via network N to other devices.

Arithmetic device 1030 controls output device 1010 and input device 1020 via output I/F 1060 and input I/F 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or secondary storage device 1050 onto primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information providing device 100 , the arithmetic device 1030 of the computer 1000 implements the functions of the control unit 130 by executing a program loaded on the primary storage device 1040 . Further, arithmetic device 1030 of computer 1000 may load a program acquired from another device via network I/F 1080 onto primary storage device 1040 and execute the loaded program. Further, the arithmetic unit 1030 of the computer 1000 may cooperate with another device via the network I/F 1080, and call functions, data, etc. of the program from another program of the other device for use.

[9. others〕
Although the embodiments of the present application have been described above, the present invention is not limited by the contents of these embodiments. In addition, the components described above include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those within the so-called equivalent range. Furthermore, the components described above can be combined as appropriate. Furthermore, various omissions, replacements, or modifications of components can be made without departing from the gist of the above-described embodiments.

Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the illustrated one, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

For example, the information providing apparatus 100 described above may be implemented by a plurality of server computers, and depending on the function, may be implemented by calling an external platform or the like using an API (Application Programming Interface), network computing, or the like. can be changed flexibly.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing contents.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 information processing system 10 terminal device 100 information providing device 110 communication unit 120 storage unit 121 user information database 122 history information database 123 product information database 130 control unit 131 acquisition unit 132 aggregation unit 133 estimation unit 134 change unit 135 provision unit

Claims (10)

an estimation unit that analyzes fluctuations in demand and supply of products put up for electronic commerce and estimates the timing of the fair for the products and the participants of the fair;
a providing unit that provides the participants with the timing of the product fair and automatically gathers the participants at the timing of the product fair to hold the fair;
An information processing device comprising: The estimating unit analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates the holding time of the product fair and the exhibitors of the products,
2. The providing unit is characterized in that the provision unit provides the exhibitor with the timing of the fair of the product, and automatically gathers the exhibitors at the time of the fair of the product and holds the fair. The information processing device described. The estimating unit analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates the timing of the product fair and the purchasers of the products,
2. The provision unit provides the purchaser with the timing of the merchandise fair, and automatically gathers the purchasers at the timing of the merchandise fair to hold the fair. 3. The information processing device according to 2. The estimating unit analyzes supply and demand fluctuations of products put up for electronic commerce, and estimates a potential exhibitor of the product and an exhibition timing of the product,
4. The information processing apparatus according to any one of claims 1 to 3, wherein the providing unit provides information on the timing of putting up the product to potential exhibitors of the product. wherein the providing unit provides potential exhibitors of the product with a message prompting them to exhibit the product at the product fair a predetermined period before the time when the product fair is held. Item 5. The information processing device according to any one of Items 1 to 4. 6. The method according to any one of claims 1 to 5, characterized in that said providing unit provides a purchaser of said product with a message prompting him/her to participate in said product fair a predetermined period before said product fair is held. The information processing device according to any one of the above. The estimation unit analyzes supply and demand fluctuations of products put up for electronic commerce, estimates products that are expected to increase in sales, and estimates the timing of the estimated product fair and the exhibitors of the products. 7. The information processing apparatus according to any one of claims 1 to 6, characterized by: The estimating unit analyzes supply and demand fluctuations of the products put up for sale on the online shopping mall, and estimates the holding time of the product fair and the exhibitor of the product in person-to-person transactions,
The providing unit provides the participants with the timing of the product fair in person-to-person transactions, and automatically gathers the participants at the timing of the product fair to hold the fair. The information processing apparatus according to any one of claims 1 to 7. An information processing method executed by an information processing device,
an estimation step of analyzing fluctuations in demand and supply of products put up for electronic commerce, and estimating the timing of the fair for the products and the participants of the fair;
a providing step of providing the timing of the product fair to the participants, automatically gathering the participants at the timing of the product fair, and holding the fair;
An information processing method comprising: an estimation procedure for analyzing fluctuations in demand and supply of products put up for electronic commerce, and estimating the timing of the fair for the products and the participants of the fair;
a providing procedure for providing the participants with the timing of the product fair, automatically gathering the participants at the timing of the product fair, and holding the fair;
An information processing program for executing a computer.

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