JP2015179471A - Calculation device, calculation method, and calculation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To increase profit acquired by merchandise sales.SOLUTION: A calculation device comprises an acquisition part and a calculation part. The acquisition part acquires exhibition information of merchandise. A recommendation value of sales promotion information is calculated on the basis of the exhibition information acquired by the acquisition part, where the recommendation value of the sales promotion information is a reference for distributing content related to the merchandise which is information related to a merchandise sales promotion cost.

Description

  The present invention relates to a calculation device, a calculation method, and a calculation program.

  In recent years, with the rapid spread of the Internet, sales via the Internet are actively performed. For example, there are products that sell products to EC (Electronic Commerce) sites and sell products to users via such sites.

  In such an EC site, an advertisement related to a product is distributed according to a bid price set for each advertisement of the product by an exhibitor who sells the product. For example, as advertisement distribution by an advertisement distribution server, a technique for preferentially distributing an advertisement with a high bid price is known. According to this technology, it is considered that the sales effect of the product can be enhanced.

JP 2010-123104 A

  However, with the above-described conventional technology, it is not always possible to increase profits obtained by selling products. Specifically, in the above-described conventional technology, it is difficult for an exhibitor to predict the relationship between the cost of advertising a product and the profit obtained by purchasing the product. Profits are not always increased.

  The present application has been made in view of the above, and an object of the present invention is to provide a calculation device, a calculation method, and a calculation program that can increase profits obtained by selling products.

  The calculation device according to the present application includes an acquisition unit that acquires product exhibition information, and a standard for distributing content related to the product, which is information related to the promotion cost of the product, based on the exhibition information acquired by the acquisition unit And a calculation unit for calculating a recommended value of the sales promotion information.

  According to one aspect of the embodiment, there is an effect that it is possible to increase profits obtained by selling products.

FIG. 1 is a diagram illustrating an example of a calculation process according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information providing apparatus according to the embodiment. FIG. 3 is a diagram illustrating an example of the exhibition information storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of the relationship between the number of sales and the sales promotion cost per product. FIG. 5 is a diagram illustrating an example of the relationship between the profit amount per product and the sales promotion cost. FIG. 6 is a diagram illustrating an example of the relationship between the total profit amount and the sales promotion cost. FIG. 7 is a diagram illustrating a configuration example of the distribution apparatus according to the embodiment. FIG. 8 is a flowchart illustrating a distribution processing procedure performed by the information providing apparatus according to the embodiment. FIG. 9 is an explanatory diagram for explaining the sales quantity calculation processing. FIG. 10 is a diagram illustrating an example of the relationship between the number of sales and the sales promotion ratio. FIG. 11 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the information providing apparatus.

  Hereinafter, a mode for carrying out a calculation device, a calculation method, and a calculation program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the calculation device, the calculation method, and the calculation program according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. (Calculation process)
First, an example of calculation processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram illustrating an example of a calculation process according to the embodiment. In FIG. 1, an example in which a recommended value of sales promotion information that is information related to a product promotion cost and serves as a reference for distributing content related to the product (for example, advertisement content) is presented to the exhibitor terminal 10 by the information providing apparatus 100. Indicates. Here, the sales promotion cost corresponds to, for example, an advertising cost paid from the exhibitor to the administrator of the information providing apparatus 100 when a product exhibited by the exhibitor is purchased.

  An exhibitor terminal 10 shown in FIG. 1 is an information processing apparatus used by an exhibitor who sells products on an EC site such as a shopping site or an auction site. The exhibitor terminal 10 transmits the exhibition information related to the product to be exhibited on the EC site to the information providing apparatus 100. Here, the exhibition information includes, for example, information on various products such as a product name, a selling price, a gross profit, and a product image of a product that the exhibitor sells.

  The information providing apparatus 100 is a web server or the like that provides a web page to the exhibitor terminal 10. For example, the information providing apparatus 100 provides a web page of a setting screen for setting exhibition information to the exhibitor terminal 10. Thereby, the information providing apparatus 100 acquires the exhibition information from the exhibitor terminal 10.

  Further, the information providing apparatus 100 calculates a recommended value of the sales promotion information for the product. For example, based on the exhibition information acquired from the exhibitor terminal 10, the information providing apparatus 100 determines a sales promotion ratio (hereinafter referred to as a sales promotion ratio) that is a ratio of the sales promotion cost to the product price of the product in the sales promotion information of the product. Calculate the recommended value. The information providing apparatus 100 provides a web page to the terminal device 30. For example, when the information providing apparatus 100 receives a web page acquisition request from the terminal apparatus 30, the information providing apparatus 100 distributes the web page of the EC site to the terminal apparatus 30.

  The distribution device 20 is a web server or the like that distributes content related to products. For example, the distribution device 20 distributes the advertising content including the product image in which the product is drawn based on the sales promotion ratio to the terminal device 30. Note that a URL for accessing a sales page for selling the product is embedded in the advertisement content of the product. Thereby, for example, when the advertisement content displayed on the terminal device 30 is clicked by the user, a transition is made to a sale page of a product corresponding to the advertisement content.

  The terminal device 30 is an information processing device used by a user who browses web pages. For example, the terminal device 30 acquires a web page of the EC site, and displays the acquired web page on a display device (for example, a liquid crystal display). In addition, when the advertisement space is included in the web page, the terminal device 30 acquires the advertisement content from the distribution device 20 by accessing the distribution device 20, and displays the acquired advertisement content on the web page.

  Here, as shown in FIG. 1, it is assumed that the seller who sells the product C11 with the product name “product A” has set the exhibition information via the setting screen provided from the information providing apparatus 100. In this case, the exhibitor terminal 10 transmits the set exhibition information to the information providing apparatus 100 (step S1). Thereby, the information provision apparatus 100 acquires the exhibition information of the product C11. The information providing apparatus 100 stores the received exhibition information in association with the seller.

  Subsequently, based on the acquired exhibition information, the information providing apparatus 100 is a ratio of the sales promotion cost to the sales price of the product C11 and the sales promotion rate serving as a reference for distributing content (for example, advertising content) related to the product C11. A recommended value is calculated (step S2). Specifically, the information providing apparatus 100 determines the sales promotion ratio based on the relationship between the results regarding the sales promotion ratio of products that have been exhibited in the past and the profit amount obtained by the seller of the product C11 selling the product C11. Calculate the recommended value. For example, the information providing apparatus 100 uses, as the recommended value of the sales promotion ratio, the relationship between the results related to the sales promotion ratio of the products that have been exhibited in the past and the profit amount obtained by the seller of the product C11 selling the product C11. A sales promotion ratio that maximizes the profit amount of the seller of the product C11 is calculated. As an example, the information providing apparatus 100 uses the sales volume and sales promotion cost history data of the products sold in the past and the gross profit of the product C11 to increase the sales promotion cost that maximizes the profit per product. Is calculated. Then, the information providing apparatus 100 calculates a recommended value of the sales promotion ratio of the product C11 from the calculated sales promotion cost.

  Then, the information providing apparatus 100 presents the calculated recommended value of the sales promotion ratio of the product C11 to the exhibitor terminal 10 (step S3). For example, the information providing apparatus 100 provides the seller terminal 10 with a web page of a setting screen on which a recommended value of the sales promotion ratio is displayed.

  Thereafter, the exhibitor sets the sales promotion ratio to the recommended value (step S4). In this case, the exhibitor terminal 10 transmits the set sales promotion ratio to the information providing apparatus 100. Then, the information providing apparatus 100 stores the sales promotion ratio received from the exhibitor terminal 10 in association with the product. Subsequently, the information providing apparatus 100 multiplies the sales promotion ratio set for the exhibitor by the sales price of the product C11. Thereby, the information provision apparatus 100 calculates the sales promotion cost of the goods C11. In addition, the information provision apparatus 100 calculates the sales promotion cost of goods not only with respect to the goods C11 but with respect to several exhibited goods. Then, the information providing apparatus 100 stores the calculated sales promotion cost in association with the product. Thereafter, the information providing apparatus 100 transmits the exhibition information including the sales promotion cost to the distribution apparatus 20 (step S5).

  And the terminal device 30 shall transmit the acquisition request of the web page provided by the information provision apparatus 100 to the information provision apparatus 100 (step S6). In this case, the information providing apparatus 100 distributes the web page corresponding to the acquisition request to the terminal apparatus 30 (step S7). Thereby, the terminal device 30 acquires a web page including the advertising space.

  Subsequently, the terminal device 30 transmits an acquisition request for the advertising content displayed in the advertising space to the distribution device 20 (step S8). And the delivery apparatus 20 delivers the content regarding goods based on a sales promotion rate. For example, the distribution device 20 preferentially distributes the advertising content of the product with a high sales promotion cost, which is a value obtained by multiplying the sales price of the product by the sales promotion ratio, to the terminal device 30. In the example of FIG. 1, the distribution device 20 distributes the advertising content AD11 including the image in which the product C11 is depicted to the terminal device 30 (Step S9).

  As described above, the information providing apparatus 100 according to the embodiment acquires item exhibition information. Further, the information providing apparatus 100 calculates a recommended value of the sales promotion information that is information related to the sales promotion cost of the product and serves as a reference for distributing the content related to the product based on the acquired exhibition information.

  Thereby, the information providing apparatus 100 can set the sales promotion information based on the recommended value, so that it is possible to reduce the trouble of the exhibitor who examines the sales promotion information of the product. For example, since it is difficult for the exhibitor to determine how much the sales promotion ratio should be set in order to obtain the target profit, it is possible to reduce the effort of the exhibitor who examines the sales promotion ratio.

  Further, since the information providing apparatus 100 can set a sales promotion ratio that increases the profit of the exhibitor, it is possible to increase the profit obtained by selling the product. For example, the information providing apparatus 100 can increase the profit of the exhibitor and improve the profit of the manager because the sales promotion fee is paid from the exhibitor to the manager when the product is purchased.

  Further, since the distribution device 20 distributes the advertisement content of the product, the product is easily purchased. Thereby, since the sales of goods improve and the sales promotion expense paid to an administrator from an exhibitor also becomes high, the information provision apparatus 100 can improve an administrator's profit.

[2. Configuration of information providing device]
Next, the configuration of the information providing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the information providing apparatus 100 according to the embodiment. As illustrated in FIG. 2, the information providing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information providing apparatus 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the information providing apparatus 100, and a display unit (for example, a liquid crystal display) that displays various types of information. ).

(About the communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to a network by wire or wireless, and transmits / receives information to / from the exhibitor terminal 10, the distribution device 20, and the terminal device 30 via the network.

(About the storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 includes an exhibition information storage unit 121.

(About the exhibition information storage unit 121)
The exhibition information storage unit 121 stores exhibition information that is various types of information related to products. For example, the exhibition information storage unit 121 stores information transmitted from the exhibitor terminal 10 and history information related to products. Here, FIG. 3 shows an example of the exhibition information storage unit 121 according to the embodiment. In the example shown in FIG. 3, the exhibition information storage unit 121 stores “exhibitor ID”, “product ID”, “product name”, “product image”, “sales price”, “gross profit”, “stock quantity”. , “Shipping cost”, “keyword”, “sales promotion ratio”, “sales promotion cost”, “display count”, “number of sales”, “CTR (Click Through Ratio)”, “CVR (Conversion Rate)”. .

  The “exhibitor ID” indicates identification information for identifying the exhibitor or the exhibitor terminal 10. “Product ID” indicates identification information for identifying a product that the exhibitor exhibits. “Product name” indicates the product name of the product that the exhibitor exhibits. “Product image” indicates an image of a product that the exhibitor exhibits. In the example illustrated in FIG. 3, conceptual information such as “AD11” and “AD21” is stored in the “product image”, but actually, a still image, a moving image, a URL (Uniform Resource), and the like. Locator) or a file path name indicating the storage location thereof is stored. The “product image” is not limited to a single image, and a plurality of images may be stored.

  “Sales price” indicates the selling price of a product that the exhibitor exhibits. “Gross profit” indicates a profit obtained by subtracting the cost from the selling price. “Inventory quantity” indicates the inventory quantity of the goods that the exhibitor exhibits. “Shipping fee” indicates whether or not there is a shipping fee. In the example of FIG. 3, “1” is stored in “shipping” when the shipping fee is free. On the other hand, when the shipping fee is charged, “0” is stored in the “shipping fee”. “Keyword” indicates a keyword related to the product. The “keyword” may be a keyword set by the exhibitor or may be a keyword extracted from the exhibition information.

  “Sales promotion ratio” indicates the ratio of the sales promotion cost to the sales price of the product. “Sales promotion cost” indicates a cost paid as an advertising fee from the exhibitor to the manager. For example, “sales promotion expense” is calculated by multiplying “sales price” by “sales promotion ratio”.

  “Number of display times” indicates the number of times a sales page for selling products on the EC site is displayed. “Number of sales” indicates the number of products purchased from the sales page of the EC site.

  “CTR” indicates the rate at which the advertisement content of the product is selected. “CVR” indicates an index that leads to an action that leads to the profit of the seller who sells the product through the advertisement content of the product. For example, “CVR” indicates the ratio of the number of times of conversion (the final result that can be obtained from the content, such as product purchases or document requests) to the number of times the advertising content is distributed.

  That is, FIG. 3 shows an example in which the seller identified by the seller ID “SE10” has exhibited the product A with the product name “product A” with the product ID “C11” at the selling price “3000” yen. . FIG. 3 shows an example in which the sales promotion ratio of the product A is set to “5%”. FIG. 3 shows an example in which the gross profit of the product A is “1000” yen. FIG. 3 shows an example in which the sales promotion cost of the product A is “150” yen. FIG. 3 illustrates an example in which the product image of the product A is “AD11”. FIG. 3 shows an example in which the stock quantity of the product A is “100”. FIG. 3 shows an example in which the sales page of the product A is displayed “200” times. FIG. 3 shows an example in which the product A is purchased “100” times from the sales page. FIG. 3 shows an example in which the advertising content of the product A is CTR “2%”. FIG. 3 shows an example in which the advertising content of the product A is CVR “10%”. FIG. 3 shows an example in which the “keyword” of the product A is “drinking water”. FIG. 3 shows an example in which the “shipping cost” of the product A is free “1”.

  Further, in FIG. 3, the seller identified by the seller ID “SE10” sets the sales promotion ratio of the product B of the product name “product B” of the product ID “C12” to “0%”. Show. Here, the sales promotion ratio “0%” means that no cost is spent on the advertisement of the product.

(About the control unit 130)
In the control unit 130, for example, various programs (corresponding to an example of a calculation program) stored in a storage device inside the information providing apparatus 100 work on the RAM by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. This is realized by being executed as a region. The control unit 130 is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 2, the control unit 130 includes an acquisition unit 131, a calculation unit 132, a presentation unit 133, a reception unit 135, and a transmission unit 136, and functions and functions of information processing described below. Realize or execute. The internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 2, and may be another configuration as long as the information processing described later is performed. In addition, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 2, and may be another connection relationship.

(About the acquisition unit 131)
The acquisition part 131 acquires the exhibition information regarding the product exhibited by the exhibitor. Specifically, when the product is exhibited by the exhibitor, the acquiring unit 131 acquires various information related to the product such as the product name, product image, and sales price of the product from the exhibitor terminal 10 as the exhibition information. For example, the acquisition unit 131 transmits a web page of a setting screen for setting exhibition information when accessed from the exhibitor terminal 10. Then, the seller sets the exhibition information via the setting screen displayed on the seller terminal 10. Thereby, the acquisition unit 131 acquires the exhibition information set for the seller from the seller terminal 10. Then, the acquisition unit 131 stores the acquired exhibition information in the exhibition information storage unit 121.

(About the calculation unit 132)
Based on the exhibition information acquired by the acquisition unit 131, the calculation unit 132 calculates a recommended value of the sales promotion information that is information related to the sales promotion cost of the product and serves as a reference for distributing the content related to the product. Specifically, the calculation unit 132 calculates a sales promotion ratio that is a ratio of the sales promotion cost to the product price of the product in the sales promotion information of the product. For example, the calculation unit 132 calculates a recommended value of the sales promotion ratio based on the relationship between the actual results regarding the sales promotion ratio of the products that have been exhibited in the past and the profit amount obtained by the seller of the products selling the products. . As an example, the calculation unit 132 may use the recommended value of the sales promotion ratio based on the relationship between the performance related to the sales promotion ratio of the products that have been exhibited in the past and the profit amount obtained by the seller of the product selling the product. Calculate the sales promotion ratio that maximizes the profit amount of the seller.

  For example, the calculation unit 132 calculates the recommended value of the sales promotion ratio using the number of sales of the products sold in the past, the sales promotion cost, and the gross profit of the products. This point will be described with reference to FIG. FIG. 4 is a diagram illustrating an example of the relationship between the number of sales and the sales promotion cost per product. As shown in FIG. 4, the vertical axis of the graph represents the number of sales. The horizontal axis represents the sales promotion cost per product. The calculation unit 132 calculates the relationship between the sales volume of the product and the sales promotion cost per product as shown in FIG. 4 using the sales data and sales promotion cost history data of the products sold in the past. To do. Here, the sales quantity is “Y”. Further, the sales promotion cost per product is “c”. In this case, the calculation unit 132 calculates the relationship between the number of sales and the sales promotion cost per product using past history data. For example, the calculation unit 132 calculates the following formula (1) by performing regression analysis on the relationship between the number of sales and the sales promotion cost by the least square method or the like. Note that “a” in Equation (1) indicates the slope of a straight line.

  In addition, the calculation unit 132 calculates the relationship between the profit amount per product and the sales promotion cost using the data of the gross profit and the sales promotion cost. This point will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of the relationship between the profit amount per product and the sales promotion cost. As shown in FIG. 5, the vertical axis of the graph represents the profit amount per product. The horizontal axis represents the sales promotion cost per product. Here, the profit per product is “r”. Further, the gross profit, which is the profit amount per product when the sales promotion cost is “0”, is “p”. For this reason, in this case, the calculation unit 132 calculates the following formula (2) as the relationship between the profit amount per product and the sales promotion cost.

  Subsequently, the calculation unit 132 calculates the relationship between the total profit amount obtained by the exhibitor and the sales promotion expenses according to the number of items sold. This point will be described with reference to FIG. FIG. 6 is a diagram illustrating an example of the relationship between the total profit amount and the sales promotion cost. As shown in FIG. 6, the vertical axis of the graph represents the total profit amount that the exhibitor obtains according to the number of items sold. The horizontal axis represents the sales promotion cost per product. Here, the total profit amount is “R”. In this case, the total profit amount R is a value obtained by multiplying the number of sales Y by the profit amount r per product, and thus “(a × c) × (pc)”. Thereby, the calculation part 132 calculates the following formula | equation (3) as a relationship between gross profit amount and sales promotion expenses.

Then, the calculation unit 132 calculates the sales promotion cost c that maximizes the total profit amount R. That is, as shown in FIG. 6, the calculation unit 132 calculates “p / 2” as the sales promotion cost c that maximizes the total profit amount R. The total profit R, as shown in FIG. 6, the ^"ap 2/4". Then, the calculation unit 132 calculates the sales promotion ratio by dividing the calculated sales promotion cost by the sales price of the product. Thereby, the calculation part 132 calculates the sales promotion ratio with the maximum total profit amount as a recommended value.

  For example, in the example of the product A in FIG. 3, since the gross profit p is “1000” yen, the calculation unit 132 calculates “500” yen as the sales promotion cost c that maximizes the total profit amount R. Then, the calculation unit 132 calculates the sales promotion ratio “16.7%” by dividing the calculated sales promotion cost “500” yen by the sales price “3000” of the product A. As a result, the recommended value of the sales promotion ratio of the product A having the maximum total profit amount is “16.7%”.

In the example of the product A in FIG. 3, since the sales quantity is “100” when the sales promotion cost is “150” yen, the inclination “a” is “0.67”. For this reason, gross profit R of the product A is "167500" circle by substituting the warp p "1000" and "0.67" of the slope to ^"ap 2/4", "a".

  Further, the relationship between the number of sales and the sales promotion cost per product may not be linear as shown in FIG. For example, when the sales promotion cost is the highest as compared with other products, the number of sales may increase nonlinearly. In this case, the solution for the sales promotion cost with the maximum gross profit cannot be calculated analytically. For example, the sales promotion cost is gradually increased, and the total profit is compared with other sales promotion costs. And calculate a large sales promotion cost.

(About the presentation unit 133)
The presenting unit 133 presents the recommended value of the sales promotion ratio calculated by the calculating unit 132. Specifically, the presentation unit 133 presents the recommended value to the exhibitor terminal 10 when the recommended value of the sales promotion ratio is calculated by the calculation unit 132. For example, the presentation unit 133 presents the recommended value by distributing a web page of a setting screen on which the recommended value of the sales promotion ratio is displayed to the exhibitor terminal 10. In addition, the presentation unit 133 accepts the sales promotion ratio set by the exhibitor. For example, the presentation unit 133 receives the sales promotion ratio set for the exhibitor from the exhibitor terminal 10 via the setting screen. Then, the presentation unit 133 stores the sales promotion ratio received from the exhibitor terminal 10 in the exhibition information storage unit 121 in association with the product.

(About distribution unit 134)
The distribution unit 134 distributes a web page when a web page acquisition request is received. For example, the distribution unit 134 distributes to the terminal device 30 a web page in which a URL for accessing the distribution device 20 is embedded or a web page in which advertisement content is already embedded. When the distributed web page is a sale page for a product, the distribution unit 134 adds 1 to the “display count” of the product corresponding to the sales page stored in the exhibition information storage unit 121 and updates it. . For example, the distribution unit 134 acquires information indicating whether or not the advertisement content related to the product displayed on the distributed web page has been clicked from the terminal device 30. And the delivery part 134 updates "CTR" memorize | stored in the exhibition information storage part 121 based on the information which shows whether the advertising content was clicked. In addition, the distribution unit 134 acquires, from the distribution device 20, for example, information indicating whether or not conversion has been achieved from the advertisement content related to the product displayed on the distributed web page. Then, the distribution unit 134 updates “CVR” stored in the exhibition information storage unit 121 based on information indicating whether or not the product has been purchased.

(Receiver 135)
The receiving unit 135 receives an acquisition information acquisition request from the distribution device 20. For example, the receiving unit 135 receives an exhibition information acquisition request from the distribution device 20 every predetermined period.

(About transmitter 136)
The transmission unit 136 transmits the exhibition information to the distribution device 20. For example, when the transmission unit 136 and the reception unit 135 receive an exhibition information acquisition request from the distribution device 20, the exhibition information stored in the exhibition information storage unit 121 is transmitted to the distribution device 20. The transmission unit 136 may transmit the exhibition information to the distribution device 20 when the exhibition information is updated or every predetermined period.

[3. Configuration of distribution device]
Next, the configuration of the distribution apparatus 20 according to the embodiment will be described with reference to FIG. FIG. 7 is a diagram illustrating a configuration example of the distribution apparatus 20 according to the embodiment. As illustrated in FIG. 7, the distribution device 20 includes a communication unit 21, a storage unit 22, and a control unit 25. The distribution device 20 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the distribution device 20, and a display unit (for example, a liquid crystal display) that displays various types of information. You may have.

(About the communication unit 21)
The communication unit 21 is realized by a NIC or the like, for example. The communication unit 21 is connected to a network by wire or wirelessly, and transmits / receives information to / from the exhibitor terminal 10, the information providing apparatus 100, and the terminal apparatus 30 via the network.

(About the storage unit 22)
The storage unit 22 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 22 includes an exhibition information storage unit 23.

(About the exhibition information storage unit 23)
The exhibition information storage unit 23 stores the exhibition information transmitted from the information providing apparatus 100. For example, similarly to the exhibition information storage unit 121 included in the information providing apparatus 100, the exhibition information storage unit 23 includes “exhibitor ID”, “product ID”, “product name”, “product image”, “sales price”, Stores items such as “gross profit”, “stock quantity”, “shipping cost”, “keyword”, “promotion ratio”, “sales promotion cost”, “display count”, “sales number”, “CTR”, “CVR” To do.

(About the control unit 25)
The control unit 25 is realized, for example, by executing various programs (corresponding to an example of a distribution program) stored in a storage device inside the information providing apparatus 100 using the RAM as a work area by a CPU, an MPU, or the like. . The control unit 25 is realized by an integrated circuit such as an ASIC or FPGA, for example.

  As shown in FIG. 7, the control unit 25 includes an acquisition unit 26, a reception unit 27, an extraction unit 28, and a distribution unit 29, and implements or executes the information processing functions and operations described below. . Note that the internal configuration of the control unit 25 is not limited to the configuration illustrated in FIG. 7, and may be another configuration as long as the information processing described below is performed. In addition, the connection relationship between the processing units included in the control unit 25 is not limited to the connection relationship illustrated in FIG. 7 and may be another connection relationship.

(About the acquisition unit 26)
The acquisition part 26 acquires the exhibition information regarding the product exhibited by the exhibitor. Specifically, the acquisition unit 26 acquires various types of information related to the product such as the sales price and the sales promotion ratio of the product from the information providing apparatus 100 as exhibition information. For example, the acquisition unit 26 acquires the exhibition information from the information providing apparatus 100 every predetermined period. Then, the acquisition unit 26 stores the acquired exhibition information in the exhibition information storage unit 23.

(Receiver 27)
The receiving unit 27 receives a content (for example, advertisement content) acquisition request from the terminal device 30. For example, the receiving unit 27 receives an advertisement content acquisition request by an HTTP (Hypertext Transfer Protocol) request or the like. The receiving unit 27 may receive an advertisement content acquisition request from the information providing apparatus 100 as well as the terminal apparatus 30.

(About the extraction unit 28)
When the receiving unit 27 receives the advertisement content acquisition request, the extracting unit 28 extracts the content related to the product based on the exhibition information acquired by the acquiring unit 26. Specifically, the extraction unit 28 preferentially extracts content related to a product having a high sales promotion cost from among the product group whose sales promotion cost is stored in the exhibition information storage unit 23. Here, the extraction unit 28 relates to a product having a high sales promotion cost among the product group in which the sales promotion cost is stored in the exhibition information storage unit 23 by raising the ranking of the listing as the sales promotion cost is higher. Extract content with priority. The extraction unit 28 increases the extraction probability as the sales promotion cost is higher, so that priority is given to content related to a product having a higher sales promotion cost in the product group in which the sales promotion cost is stored in the exhibition information storage unit 23. And may be extracted. For example, the extraction unit 28 extracts a product image corresponding to a product with the highest sales promotion cost among the product groups whose sales promotion costs are stored in the exhibition information storage unit 23 as advertisement content. In the example of FIG. 3, the extraction unit 28 extracts “AD31”, which is one of the product images corresponding to the product C having the highest sales promotion cost of “4000” yen among the products A to D, as the advertisement content. .

(About distribution unit 29)
The distribution unit 29 distributes content related to the product based on the exhibition information acquired by the acquisition unit 26. Specifically, the distribution unit 29 distributes the advertising content extracted by the extraction unit 28 when the receiving unit 27 receives an advertising content acquisition request. For example, when the distribution unit 29 receives an advertisement content acquisition request from the terminal device 30, the distribution unit 29 distributes the product image that is the advertisement content extracted by the extraction unit 28 to the terminal device 30. When the distribution unit 29 receives an advertisement content acquisition request from the information providing device 100, the distribution unit 29 distributes the advertising content extracted by the extraction unit 28 to the information providing device 100. In this case, the information providing apparatus 100 distributes the web page on which the advertising content distributed from the distribution apparatus 20 is displayed to the terminal apparatus 30.

[4. (Calculation procedure)
Next, a calculation processing procedure performed by the information providing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart illustrating a calculation processing procedure performed by the information providing apparatus 100 according to the embodiment.

  As illustrated in FIG. 8, the acquisition unit 131 of the information providing apparatus 100 determines whether or not product exhibition information has been acquired from the exhibitor terminal 10 (step S <b> 101). And when the acquisition part 131 has not acquired exhibition information (step S101; No), it waits until acquisition information is acquired. On the other hand, when the exhibition information is acquired (step S101; Yes), the acquisition unit 131 stores the acquired exhibition information in the exhibition information storage unit 121 (step S102).

  Subsequently, the calculation unit 132 calculates a sales promotion cost that maximizes the profit amount using the history data (step S103). For example, the calculation unit 132 calculates the sales promotion cost that maximizes the profit amount of the exhibitor, using the historical sales data of the number of products sold in the past, the sales promotion cost, and the gross profit.

  Subsequently, the calculation unit 132 calculates a recommended value of the sales promotion ratio using the calculated sales promotion cost. (Step S104). For example, the calculation unit 132 calculates the recommended value of the sales promotion ratio by dividing the calculated sales promotion cost by the sales price of the product.

  Then, the presentation unit 133 presents the recommended value of the sales promotion ratio calculated by the calculation unit 132 to the exhibitor terminal 10 (Step S105). For example, the presentation unit 133 presents the web page of the setting screen on which the recommended value of the sales promotion ratio is displayed by delivering it to the exhibitor terminal 10.

[5. (Modification)
The information providing apparatus 100 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the information providing apparatus 100 will be described.

[5-1. (Calculation of recommended values)
In the above embodiment, the calculation unit 132 has shown an example of calculating the sales promotion cost that maximizes the profit amount of the exhibitor using the historical data of the products sold in the past. Here, the calculation unit 132 excludes the results of sales of the product at a price lower than a predetermined price from the results (for example, history data) related to the sales promotion information of the products that have been exhibited in the past. A recommended value may be calculated.

  For example, the calculation unit 132 calculates the average value of the sales prices of the products using the history data of the products sold in the past. Then, the calculation unit 132 calculates the recommended value of the sales promotion information by excluding the historical data of the products sold at a price less than 60% of the average value of the sales price.

  As described above, the information providing apparatus 100 calculates the recommended value of the sales promotion information by excluding the result of sales of the product at a price lower than the predetermined price from the results related to the sales promotion information of the products exhibited in the past. To do.

  As a result, the information providing apparatus 100 can calculate the recommended value of the sales promotion ratio without using the historical data of the inexpensive products, and can calculate the recommended value of the sales promotion ratio with high accuracy.

[5-2. Recommended value correction (1)]
In the above embodiment, the calculation unit 132 has shown an example of calculating the sales promotion cost that maximizes the profit amount of the exhibitor using the historical data of the products sold in the past. Here, the calculation unit 132 may correct the recommended value of the sales promotion information based on the number of items in stock.

  For example, the calculation unit 132 corrects the recommended value of the sales promotion ratio higher as the number of items in stock increases. This is to increase the number of products sold and raise excess sales by setting the sales promotion ratio high. On the other hand, the calculation unit 132 corrects the recommended value of the sales promotion ratio to be lower as the number of products in stock is smaller. This is because by setting the sales promotion ratio to be low, the number of products sold can be suppressed so that the product will not run out of stock.

  Note that the calculation unit 132 may correct the recommended value of the sales promotion ratio higher as the number of products in stock is smaller. This is because the product inventory is sold out by setting the sales promotion ratio high. Further, the calculation unit 132 may correct the recommended value of the sales promotion ratio to be lower as the number of products in stock is larger. For example, in the case of a popular product, it can be sold even if the sales promotion ratio is low, so that it is possible to suppress the sales promotion cost and increase the profit of the exhibitor.

  In this manner, the information providing apparatus 100 corrects the recommended value of the sales promotion information based on the number of items in stock.

  As a result, the information providing apparatus 100 can calculate the recommended value of the sales promotion information according to the number of stocks, so that the burden of inventory management on the exhibitor can be reduced.

[5-3. Recommended value correction (2)]
In the above embodiment, the calculation unit 132 has shown an example of calculating the sales promotion cost that maximizes the profit amount of the exhibitor using the historical data of the products sold in the past. Here, the calculation unit 132 may correct the recommended value of the sales promotion information based on the time when the product is sold.

  For example, the calculation unit 132 corrects the recommended value of the sales promotion ratio to a low value in December of the Christmas season when the number of products sold increases or January of the beginning of the year. This is because in such a busy period, it is considered that the product can be sold even if the sales promotion cost is lowered and the number of advertisements is reduced. On the other hand, the calculation unit 132 corrects the recommended value of the sales promotion ratio to be higher in February after the busy period of December and January. This is because, in such a quiet period, it is considered that the number of products sold is difficult to increase unless sales promotion costs are raised and advertised.

  As described above, the information providing apparatus 100 corrects the recommended value of the sales promotion information based on the time when the product is sold.

  As a result, the information providing apparatus 100 can calculate the recommended value of the sales promotion information according to the time, so that the seller's sales can be secured stably.

[5-4. Recommended value correction (3)]
In the above embodiment, the calculation unit 132 has shown an example of calculating the sales promotion cost that maximizes the profit amount of the exhibitor using the historical data of the products sold in the past. Here, the calculation unit 132 may correct the recommended value of the sales promotion information according to the type of the product.

  For example, the calculation unit 132 corrects the recommended value of the sales promotion ratio to be high when the type of the product is a type that is easy to sell on the EC site such as food directly delivered from the production area. This is because such types of products that are easy to sell on the EC site are considered to have a high sales effect even with the same sales promotion cost as compared with other types of products. On the other hand, the calculation unit 132 corrects the recommended value of the sales promotion ratio to be low when the product type is a type that is difficult to sell on an EC site such as expensive clothes. This is because such a kind of product that is difficult to sell on the EC site is considered to have a low sales effect even with the same sales promotion cost as compared with other kinds of products.

  As described above, the information providing apparatus 100 corrects the recommended value of the sales promotion information according to the type of the product.

  Thereby, since the information provision apparatus 100 can calculate the recommended value of the sales promotion ratio according to the kind of goods, it can raise the sales effect of goods efficiently.

[5-5. Recommended value correction (4)]
In the above modification, the calculation unit 132 has shown an example in which the recommended value of the sales promotion information is corrected according to the number of products in stock, the time when the products are sold, and the type of the products. Here, the calculation unit 132 sets the recommended value for a predetermined period when the number of sales of the product or the number of display of the exhibition content (for example, the sales page of the product) is not changed from a predetermined value during a predetermined period. You may correct | amend higher than before. If the number of sales and the number of times of display do not improve even after a predetermined period of time has passed, it is considered that the sales promotion cost is not high enough to increase the sales effect. For this reason, it is considered that the sales effect can be enhanced by providing a highly corrected recommended value and setting the sales promotion ratio and the sales promotion cost high.

  In this way, the information providing apparatus 100 corrects the recommended value to be higher than before the predetermined value when the number of sales of the product or the number of times of display of the exhibition content on which the product is displayed does not vary from the predetermined value during the predetermined time. To do.

  As a result, the information providing apparatus 100 can cause the seller to set the sales promotion information of the product high, so that the sales effect (for example, sales) of the product can be increased and the profit of the administrator can be increased. it can.

[5-6. Device configuration〕
In the above embodiment, the information providing apparatus 100 calculates the recommended value of the sales promotion ratio. However, the distribution apparatus 20 may calculate the recommended value of the sales promotion ratio. In this case, the distribution apparatus 100 illustrated in FIG. 7 calculates a recommended value of the sales promotion ratio using, for example, history data stored in the exhibition information storage unit 23. Then, the distribution device 20 distributes the web page on which the calculated recommended value of the sales promotion ratio is displayed to the exhibitor terminal 10. The distribution device 20 may transmit the calculated recommended value of the sales promotion ratio to the information providing device 100. In this case, the information providing apparatus 100 distributes the setting screen on which the recommended value of the sales promotion ratio transmitted from the distribution apparatus 20 is displayed to the exhibitor terminal 10.

[5-7. Number of units sold)
Further, in the above embodiment, the information providing apparatus 100 is not limited to the historical data on the number of sales of products sold in the past, but the sales promotion information using data on the number of sales of products predicted by various prediction models. The recommended value may be calculated.

  Specifically, the calculation unit 132 of the information providing apparatus 100 predicts the number of products sold by multiple regression analysis. Then, the calculation unit 132 calculates the recommended value of the sales promotion ratio using the predicted sales data of the product.

  For example, the calculation unit 132 calculates the relationship between the sales promotion ratio of the product and the number of sales of the product based on the exhibition information acquired by the acquisition unit 131. Specifically, the calculation unit 132 determines the relationship between the sales promotion ratio of the product and the number of sales based on various characteristics of the product included in the exhibition information and the history of the number of products sold in the past. Is calculated. As an example, the information providing apparatus 100 uses the product characteristics such as the number of product images and the presence / absence of shipping costs, and the sales history of the products sold in the past, and the sales promotion ratio of the products and the number of sales of the products. The graph of the relational expression which shows the relationship between is calculated.

  This point will be described with reference to FIG. FIG. 9 is an explanatory diagram for explaining the sales quantity calculation processing. First, the calculation unit 132 extracts features of the products A to D in order to perform regression analysis. Here, it is assumed that the calculation unit 132 employs “shipping cost”, “number of product images”, and “sales promotion ratio” as the characteristics of the product. Then, as illustrated in FIG. 9, the calculation unit 132 extracts the actual values of “shipping cost”, “number of product images”, and “promotion ratio” of the products A to D, respectively.

  In other words, in FIG. 9, the “sales number” of the product A is “100”. Further, the “shipping cost” which is the feature 1 of the product A is “1”. Further, the “number of product images” that is the feature 2 of the product A is “1”. The “sales promotion ratio”, which is the feature 3 of the product A, is “0.05”.

  Then, the calculation unit 132 assumes a regression model of the number of sales. Specifically, the calculation unit 132 assumes the following equation (4), which is a linear multiple regression model in which the number of sales is represented by the regression coefficient and the feature value.

  In addition, c1 of Formula (4) shows "shipping cost" which is the feature 1. In equation (4), a1 represents the regression coefficient of feature 1. Further, c2 in the formula (4) indicates the “number of product images” that is the feature 2. A2 in Equation (4) indicates the regression coefficient of feature 2. Further, c3 in the formula (4) indicates “sales promotion ratio” which is the feature 3. A3 in Equation (4) indicates the regression coefficient of feature 3.

  Then, the calculation unit 132 calculates a regression coefficient using the data shown in FIG. Specifically, the calculation unit 132 calculates the regression coefficients a1 to a3 using the actual values of “shipping cost”, “number of product images”, and “sales promotion ratio” of the products A to D. Here, the product has three features 1 to 3.

  For example, the calculation unit 132 substitutes the sales number “100” of the product A for Sn in the formula (4). In addition, the calculation unit 132 substitutes “1” of the feature 1 into c1 of the formula (4). In addition, the calculation unit 132 substitutes “1” of the feature 2 for c2 in the equation (4). In addition, the calculation unit 132 substitutes “0.05” of the feature 3 for c3 in the equation (4). Similarly, the calculation unit 132 substitutes the number of sales and the actual values of features 1 to 3 for the products B, C, and D. And the calculation part 132 calculates the regression coefficients a1-a3 by the least squares method from the formula (4) in goods A-D to which performance value was substituted. Thereby, it is assumed that the calculation unit 132 calculates, for example, the regression coefficients a1 “195”, a2 “68”, and a3 “649”. Here, the first decimal place of the division result is rounded off.

  Then, the calculation unit 132 calculates the relationship between the number of sales and the sales promotion ratio using the calculated regression coefficients a1 “195”, a2 “68”, and a3 “649”. For example, it is assumed that the product E has a postage “1” and a product image number “3”. In this case, the calculation unit 132 substitutes the regression coefficient “195” for a1 in Expression (4). In addition, the calculation unit 132 substitutes the regression coefficient “68” for a2 in Expression (4). In addition, the calculation unit 132 substitutes the regression coefficient “649” for a3 in Expression (4). In addition, the calculation unit 132 substitutes the shipping cost “1” of the product E into c1 of the formula (4). In addition, the calculation unit 132 substitutes the product image number “3” of the product E into c2 of the formula (4). Thereby, the calculation part 132 calculates the following formula | equation (5) which shows the relationship between the sales number of the goods E, and a sales promotion ratio.

  And the calculation part 132 calculates the graph of Formula (5). FIG. 10 is a diagram illustrating an example of the relationship between the number of sales and the sales promotion ratio. For example, as illustrated in FIG. 10, the calculation unit 132 calculates a graph in which the vertical axis represents the number of sales and the horizontal axis represents the sales promotion ratio. Thereby, the calculation unit 132 calculates the relationship between the sales promotion ratio of the product and the number of sales.

  Subsequently, the calculation unit 132 predicts the sales quantity of the product from the relationship between the calculated sales promotion ratio and the sales quantity. Then, the calculation unit 132 calculates the recommended value of the sales promotion ratio using the predicted sales data of the product.

  In addition, the information provision apparatus 100 may calculate the relationship between the sales promotion ratio and the number of sales of a product using not only a linear multiple regression model but a Poisson regression model.

  For example, the calculation unit 132 assumes a Poisson regression model equation (6) in which the logarithmic value of the number of display times is calculated based on the regression coefficient and the feature value.

  Subsequently, the calculation unit 132 calculates the regression coefficient by substituting the actual value indicating the feature of the product. Then, the calculation unit 132 calculates the relationship between the sales promotion ratio of the product and the number of sales using the calculated regression coefficient.

  Note that the calculation unit 132 may calculate the recommended value of the sales promotion information using the predicted display frequency of the exhibition content (for example, sales page) in which the product predicted by various prediction models is exhibited. Specifically, the calculation unit 132 calculates a recommended value of the sales promotion information based on the relationship between the sales promotion information of the product and the predicted display frequency of the sales page of the product. For example, the calculation unit 132 first predicts the number of times the exhibition content is displayed by replacing the number of sales with the number of times of display in the multiple regression analysis described above. And the calculation part 132 calculates the sales promotion information from which the profit amount becomes the maximum from the relationship between the estimated display frequency and sales promotion information.

  For example, the calculation unit 132 first predicts the number of products sold based on the predicted number of sales pages displayed on the sales page. Then, the calculation unit 132 calculates the sales promotion information that maximizes the profit amount by using the predicted number of sales, the sales promotion cost of the product, and the gross profit. For example, the calculation unit 132 first calculates the relationship between the number of sales and the sales promotion cost per product, as in the above-described method described with reference to FIGS. In addition, the calculation unit 132 calculates a relationship between the profit amount per product and the sales promotion cost using the sales promotion cost and the gross profit of the product. And the calculation part 132 calculates the relationship between the gross profit amount which an exhibitor obtains according to the sales volume of goods, and a sales promotion expense. Thereby, the calculation unit 132 calculates the sales promotion cost that maximizes the total profit amount.

  As described above, the information providing apparatus 100 calculates the recommended value of the sales promotion information based on the relationship between the sales promotion information of the product and the predicted display frequency of the sales page of the product.

  As a result, the information providing apparatus 100 can set sales promotion information based on the predicted display frequency, so that it is possible to reduce the trouble of the seller who examines the sales promotion information.

  Further, the calculation unit 132 may calculate the recommended value of the sales promotion information by using the predicted number of times of the behavior that leads to the profit of the seller of the product predicted by various prediction models. Specifically, the calculation unit 132 calculates the recommended value of the sales promotion information based on the relationship between the sales promotion information of the product and the predicted number of times of the behavior that leads to the profit of the seller of the product. Here, the number of actions leading to the action leading to the profit of the seller of the product indicates the number of CVs (Conversion). For example, the calculation unit 132 first predicts the number of CVs by replacing the number of sales with the number of CVs in the multiple regression analysis described above. And the calculation part 132 calculates the sales promotion information from which the profit amount becomes the maximum from the relationship between the estimated number of CVs and sales promotion information. For example, the calculation unit 132 first predicts the number of products sold based on the predicted number of CVs. Then, the calculation unit 132 uses the predicted number of sales, the sales promotion cost of the product, and the gross profit, for example, in the same way as the above-described method described with reference to FIGS. Calculate sales promotion information.

  As described above, the information providing apparatus 100 calculates the recommended value of the sales promotion information based on the relationship between the sales promotion information of the product and the predicted number of times of the behavior that leads to the profit of the seller of the product.

  Thereby, since the information provision apparatus 100 can set the sales promotion information based on the frequency | count of prediction action, it can reduce the effort of the exhibitor who examines sales promotion information.

[5-8. Others]
Moreover, in the said embodiment, although user operation which selects the link area | region of advertisement content or a web page was described as "click", this user operation is not restricted to click operation using a mouse | mouth. For example, the “click” described above may be an operation of tapping advertisement content or the like with a finger or an operation of selecting advertisement content or the like with a line of sight.

  In the above embodiment, an example is shown in which the advertising content is displayed so as to overlap the web page. However, the content displayed so as to overlap the advertising content is not limited to the web page. For example, when an advertisement display area is included in a screen of a mobile phone game or the like, the advertisement content described above may be displayed so as to overlap with the game screen or the like.

  In the above embodiment, the advertisement content has been described as an example. However, the content displayed on the web page is not limited to the advertisement content for the advertisement purpose. For example, the advertisement content described above may be content for notifying weather information, earthquake information, and the like.

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

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the acquisition unit 131 and the reception unit 135 illustrated in FIG. 2 may be integrated.

[5-9. Hardware configuration)
Further, the information providing apparatus 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 11, for example. Hereinafter, the information providing apparatus 100 will be described as an example. FIG. 11 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the information providing apparatus 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the communication network 50 and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the communication network 50.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. It is.

  For example, when the computer 1000 functions as the information providing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 120. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the communication network 50.

[6. effect〕
As described above, the information providing apparatus 100 according to the embodiment includes the acquisition unit 131 and the calculation unit 132. The acquisition unit 131 acquires product exhibition information. Based on the exhibition information acquired by the acquisition unit 131, the calculation unit 132 calculates the recommended value of the sales promotion ratio that is the ratio of the sales promotion cost to the sales price of the product and serves as a reference for distributing the content related to the product.

  Thereby, since the information provision apparatus 100 can grasp | ascertain the sales promotion ratio from which an exhibitor's profit becomes high, it can raise the profit obtained by sale of goods. Further, since the information providing apparatus 100 can set the sales promotion ratio based on the recommended value, it is possible to reduce the effort of the exhibitor who examines the sales promotion ratio of the product. In addition, since the information providing apparatus 100 pays a sales promotion fee from the exhibitor to the manager when a product is purchased, the information providing apparatus 100 can increase the profit of the exhibitor and improve the profit of the manager.

  Further, in the information providing apparatus 100 according to the embodiment, the calculation unit 132 has a relationship between the results regarding the sales promotion ratio of the products exhibited in the past and the profit amount obtained by the seller of the products selling the products. Based on this, the recommended value of the sales promotion ratio is calculated.

  Thereby, since the information provision apparatus 100 which concerns on embodiment can calculate the sales promotion ratio which raises the profit amount based on the past performance, it can raise an exhibitor's profit.

  Further, in the information providing apparatus 100 according to the embodiment, the calculation unit 132 obtains the results related to the sales promotion ratio of the products that have been exhibited in the past as the recommended value of the sales promotion ratio and the profit obtained by the seller of the products selling the products. The sales promotion ratio that maximizes the profit amount of the seller of the product is calculated from the relationship with the amount.

  Thereby, since the information provision apparatus 100 which concerns on embodiment can calculate the sales promotion ratio from which the profit amount becomes the largest from the past performance, it can raise an exhibitor's profit.

  Further, in the information providing apparatus 100 according to the embodiment, the calculation unit 132 calculates a recommended value of the sales promotion ratio using the number of products sold in the past, the sales promotion cost, and the gross profit of the product.

  Thereby, since the information provision apparatus 100 which concerns on embodiment can calculate the sales promotion ratio which raises the profit amount based on the past performance, it can raise an exhibitor's profit.

  Further, in the information providing apparatus 100 according to the embodiment, the presentation unit 133 presents the recommended value of the sales promotion ratio calculated by the calculation unit 132.

  Thereby, since the information provision apparatus 100 which concerns on embodiment can make a seller grasp | ascertain the sales promotion ratio from which the profit amount based on the past performance becomes the maximum, it can raise an exhibitor's profit.

  Further, in the information providing apparatus 100 according to the modified example, the calculation unit 132 excludes a result of selling the product at a price lower than a predetermined price from the results related to the sales promotion ratio of the product that has been exhibited in the past, and the recommended value. Is calculated.

  As a result, the information providing apparatus 100 according to the modification can calculate the recommended value of the sales promotion ratio without using the historical data of the low-priced product, and therefore can calculate the recommended value of the sales promotion ratio with high accuracy. it can.

  In the information providing apparatus 100 according to the modification, the calculation unit 132 corrects the recommended value based on the number of items in stock.

  As a result, the information providing apparatus 100 according to the modification can calculate the recommended value of the sales promotion ratio according to the number of stocks, and thus can reduce the burden of inventory management on the exhibitor.

  In the information providing apparatus 100 according to the modification, the calculation unit 132 corrects the recommended value based on the time when the product is sold.

  As a result, the information providing apparatus 100 according to the modification can calculate the recommended value of the sales promotion ratio according to the time, so that the seller's sales can be secured stably.

  Further, in the information providing apparatus 100 according to the modification, the calculation unit 132 corrects the recommended value according to the type of the product.

  Thereby, the information providing apparatus 100 according to the modification can calculate the recommended value of the sales promotion ratio according to the type of the product, and thus can effectively increase the sales effect of the product.

  Further, in the information providing apparatus 100 according to the modification, the calculation unit 132 sets the recommended value to a predetermined value when the number of items sold or the number of times of display of the exhibition content for exhibiting the product does not vary from a predetermined value during a predetermined time. Correct higher than before.

  Thereby, the information providing apparatus 100 according to the modified example can cause the seller to set the sales promotion information of the product to be high, so that the sales effect (for example, sales) of the product can be enhanced, and the manager's profit Can be increased.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

DESCRIPTION OF SYMBOLS 10 Exhibitor terminal 20 Distribution apparatus 30 Terminal apparatus 100 Information provision apparatus 121 Exhibit information storage part 131 Acquisition part 132 Calculation part 133 Presentation part 134 Distribution part 135 Reception part 136 Transmission part

Claims (17)

An acquisition unit for acquiring product exhibition information;
A calculation unit that calculates a recommended value of sales promotion information that is information related to the sales promotion cost of the product and serves as a reference for distributing content related to the product based on the exhibition information acquired by the acquisition unit. A characteristic calculation device. The calculation unit includes:
The recommended value is calculated based on a relationship between a record of sales promotion information of a product that has been exhibited in the past and a profit amount obtained by selling the product by the seller of the product. 1. The calculation device according to 1. The calculation unit includes:
As the recommended value, the sales promotion information in which the profit amount is maximized from the relationship between the results related to the sales promotion information of the products exhibited in the past and the profit amount obtained by the seller of the products selling the products. The calculation device according to claim 2, wherein: The calculation unit includes:
The calculation device according to claim 1, wherein the recommended value is calculated based on a relationship between the sales promotion information and a predicted display frequency of an exhibition content in which the product is exhibited. The calculation unit includes:
The calculation device according to claim 4, wherein the recommended value is calculated from the relationship between the sales promotion information and the predicted display frequency, so that the sales promotion information that maximizes the profit amount is calculated. The calculation unit includes:
The calculation device according to claim 1, wherein the recommended value is calculated based on a relationship between the sales promotion information and a predicted action number that leads to an action that leads to a profit of the seller of the product. The calculation unit includes:
The calculation device according to claim 6, wherein the recommended value is calculated as the sales promotion information that maximizes the profit amount from the relationship between the sales promotion information and the predicted number of actions. The calculation unit includes:
The calculation device according to any one of claims 1 to 7, wherein the recommended value is calculated using the number of products sold in the past, the sales promotion cost, and the gross profit of the product. The calculation unit includes:
9. The recommended value is calculated by excluding a result of selling the product at a price lower than a predetermined price from the results of sales promotion information of the product exhibited in the past. The calculation device according to any one of the above. The calculation unit includes:
The calculation device according to claim 1, wherein the recommended value is corrected based on a stock quantity of the product. The calculation unit includes:
The calculation device according to claim 1, wherein the recommended value is corrected based on a time when the product is sold. The calculation unit includes:
The calculation device according to claim 1, wherein the recommended value is corrected according to a type of the product. The calculation unit includes:
The recommended value is corrected to be higher than before the predetermined value when the number of sales of the product or the number of times of display of the exhibition content for exhibiting the product does not vary from a predetermined value during a predetermined time. Item 13. The calculation device according to any one of Items 10 to 12. The calculation device according to claim 1, further comprising: a presentation unit that presents the recommended value calculated by the calculation unit. The calculation unit includes:
The recommended value of the sales promotion ratio, which is the ratio of the sales promotion cost to the product price of the product among the sales promotion information, is calculated based on the exhibition information acquired by the acquisition unit. 14. The calculation device according to any one of 14. A calculation method executed by a calculation device,
An acquisition process for acquiring product listing information;
And calculating a recommended value of the sales promotion information that is information related to the sales promotion cost of the product and serves as a reference for distributing the content related to the product based on the exhibition information acquired by the acquisition step. A calculation method characterized by An acquisition procedure for acquiring product listing information,
Based on the exhibition information acquired by the acquisition procedure, a calculation procedure for calculating recommended values of sales promotion information that is information related to the sales promotion cost of the product and serves as a reference for distributing content related to the product is executed on a computer The calculation program characterized by making it carry out.

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