JP7671895B1 - PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS - Google Patents

Abstract

[Problem] To appropriately provide content for promoting a product that is recommended for sale.
[Solution] A program that causes a computer to perform the following operations: acquire product analysis information associated with each of a plurality of products and used to analyze the sales of the plurality of products; extract target products from the plurality of products whose product analysis information satisfies specified conditions based on the product analysis information; and send proposal information associated with the target products and proposing the creation of content using the target products to a target sales representative.
[Selected figure] Figure 2

Description

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

When selling clothes, products that suit the consumer or that the consumer is likely to like are recommended. Recommendations are made, for example, through customer service at the store or through advertisements on e-commerce sites. Patent Document 1 describes a styling provision system in which a stylist recommends effective products to the user.

Patent Publication No. 6085017

As described in Patent Document 1, in addition to directly acquiring the user's preferences, analyzing the user's tastes and making suggestions, content using a certain product is created and provided to consumers in order to promote the sale of that product. When a salesperson creates content to introduce a product, the salesperson may have difficulty in selecting the product to use, which may result in a biased or inappropriate selection of products. As a result, there is a possibility that the sales promotion of the recommended product may not be carried out sufficiently.

The present invention aims to provide a program, method, and information processing device that can appropriately provide content for promoting sales of recommended products.

A program according to one aspect of the present invention causes a computer to acquire product analysis information associated with each of a plurality of products and used for analyzing the sales of the plurality of products, extract, from the plurality of products based on the product analysis information, target products whose product analysis information satisfies a predetermined condition, and transmit proposal information associated with the target products and proposing the creation of content using the target products to a target sales representative.

An information processing method according to another aspect of the present invention includes acquiring product analysis information associated with each of a plurality of products and used for analyzing the sales of the plurality of products, extracting, from the plurality of products based on the product analysis information, target products whose product analysis information satisfies a predetermined condition, and transmitting proposal information associated with the target products and proposing the creation of content using the target products to the target sales representative.

An information processing device according to another aspect of the present invention includes a product analysis information acquisition unit that is associated with each of a plurality of products and acquires product analysis information used for analyzing the sales of the plurality of products, a target product extraction unit that extracts, from the plurality of products, a target product whose product analysis information satisfies a predetermined condition based on the product analysis information, and a proposal information transmission unit that is associated with the target product and transmits proposal information proposing the creation of content using the target product to a target sales representative.

The present invention makes it possible to provide a program, method, and information processing device that can appropriately provide content for promoting sales of recommended products.

FIG. 1 is a schematic diagram of a product analysis system. FIG. 1 is a diagram illustrating an overview of processing in a product analysis system. FIG. 2 is a block diagram of a product analysis device. 4 is an example of interest information according to the embodiment. 4 is an example of product information according to the embodiment. 4 is an example of existing content information according to the embodiment. 13 is a diagram illustrating an example of the number of pieces of styling display information by size and body type according to the present embodiment. 4 is an example of sales representative information according to the embodiment. 1 is an outline of a process performed by a product analysis device according to the present embodiment. 13 is an example of a process performed by the product analysis device according to the present embodiment. 13 is another example of the process performed by the product analysis device according to the present embodiment. 13 is another example of the process performed by the product analysis device according to the present embodiment.

A preferred embodiment of the present invention will be described with reference to the attached drawings. In each drawing, the same reference numerals are used to denote the same or similar configurations.

Figure 1 shows a schematic diagram of a product analysis system 10 according to this embodiment. The product analysis system 10 has a product analysis device 101, a product management device 201, an EC site management device 202, a sales representative management device 203, a content posting device 204, and sales representative terminals 301a and 301b. These terminals, devices, and servers are communicatively connected via a network N. Note that although there are multiple sales representative terminals such as the sales representative terminals 301a and 301b, they will be simply referred to as the sales representative terminal 301 when there is no need to distinguish between them.

The product analysis device 101 is an information processing device that analyzes consumer interest in a product, product inventory, or existing content associated with a product, and prompts sales staff to create content associated with products sold on an EC site.

Content is information that describes a product and encourages consumers to purchase the product. For example, content is information that includes at least one of text, images, and videos that introduce or explain the product. For example, if the product is clothing or accessories, the content is examples of how to wear the clothing or accessories, and if the product is a bag or miscellaneous item, the content is information showing examples of how to use the product. Content is included in product introduction information or styling information. Product introduction information is information that introduces a product to consumers and encourages them to purchase it, and includes, for example, an article in a product introduction blog or post display information posted on a social networking service (SNS), and information for identifying the product associated with the post display information. Post display information is content created by sales staff at a store or the like.

Styling information is information that includes styling display information that combines multiple products (e.g., clothing) and shows how they are actually worn by a person, and information for identifying the products associated with the styling display information. Styling display information is content created by sales staff at a store or the like. Content created by sales staff in this way is sometimes called staff styling. Styling information includes styling display information, the model number of the product associated with the styling display information, the size of the product, and body type information of the sales staff wearing the product. Styling display information may include, for example, an image or video showing how the sales staff wears the clothing.

The product management device 201 is an information processing device such as a server that manages the inventory status of multiple products sold in a store or on an EC site.

The EC site management device 202 is an information processing device such as a server that manages an EC site that consumers access with their own terminals (e.g., smartphones, PCs, etc.) and view products. The EC site management device 202 records, as interest information, the number of views (PV number) of each product on the EC site, the number of favorites registered by consumers, the number of scans that is the number of times a product tag of a product is scanned in a physical store, the number of times a product is temporarily saved for purchase (e.g., saved in a shopping cart on the EC site), etc. The information stored by the EC site management device 202 is transmitted to the product analysis device 101.

The salesperson management device 203 is an information processing device that manages information on the salespersons of products belonging to each store. The salesperson management device 203 stores, for example, information that identifies the salesperson (such as name and identification ID), the store to which the salesperson belongs, the product brand to which the salesperson belongs, and the body type information of the salesperson (for example, height).

The content posting device 204 is an information processing device that accepts the posting of content created by a salesperson who has been proposed to create content by the product analysis device 101. The content acquired by the content posting device 204 is, for example, transmitted to the EC site management device 202, or posted on another SNS.

The salesperson terminal 301 is a terminal operated by a product salesperson, and is, for example, an information processing device such as a personal computer, smartphone, or tablet terminal that stores browsing software that can access the product analysis device 101 via the network N.

The outline of the processing in the product analysis system 10 will be described with reference to FIG. 2. First, in step (A), interest information indicating the interest of the salesperson in the product is acquired by the product analysis device 101 through the EC site that the consumer browses through the terminal D1 or accesses by scanning the product tag at the store S with the terminal D1. The interest information is information indicating the interest or concern that the consumer has in the product before purchasing the product. Specifically, it is information such as the number of views (PV number) of each product on the EC site, the number of favorites registered by the consumer, the number of scans that are the number of times the product tag of a certain product is scanned at the store S, and the number of times it is temporarily saved for purchase (for example, the number of times it is saved in a shopping cart on the EC site). The larger these values are, the more the product attracts the interest of consumers, is a popular product, or has the potential to become a popular product in the future, and therefore the product is recommended for sale. In addition, the product analysis device 101 acquires existing content information that is information on existing content stored in the EC site management device 202. The product analysis device 101 may obtain the existing content information from the EC site management device 202 or the content posting device 204.

In step (B), the product analysis device 101 acquires product information from the product management device 201. The product information includes information for identifying the product (e.g., the product's part number, product ID, etc.). The product information also includes inventory information indicating the product's inventory in all stores, the inventory by store, and the inventory at the EC site. Note that in the product analysis system 10, information on products actually sold at the store S or the EC site may be transmitted to the product management device 201 and stored.

The product analysis device 101 performs an analysis of the product using the interest information and existing content information acquired in step (A) or the product information acquired in step (B). Here, the interest information, existing content information, and product information are collectively referred to as product analysis information.

In step (C), the product analysis device 101 extracts target products from the multiple products as products whose product analysis information satisfies a predetermined condition. Here, the predetermined condition for the product analysis information is, for example, a condition for the number of views (PV number), number of favorites, number of scans, or number of times temporarily saved, etc., as described above, when interest information is used as the product analysis information. For example, a condition is whether various numbers included in the interest information are greater than a certain threshold, or a condition is whether the rate of change of these numbers in a predetermined period (for example, one month, one week, etc.) is greater than a predetermined threshold. Furthermore, a predetermined condition is a condition that a predetermined number or more of inventory is present when product information including inventory information is used as the product analysis information. Furthermore, a predetermined condition is a condition that the number of existing contents is less than a predetermined threshold.

In step (D), the product analysis device 101 acquires salesperson information from the salesperson management device 203.

In step (E), the product analysis device 101 selects a salesperson to whom a proposal to create content using the target product is to be made based on the salesperson information. At this time, the product analysis device 101 may select a salesperson who belongs to a store that has stock of the target product based on inventory information. In addition, the product analysis device 101 may select a salesperson whose body type information meets a predetermined condition based on the body type information of the salesperson.

In step (F), the product analysis device 101 transmits proposal information to the salesperson to propose the creation of content using the target product. The product analysis device 101 transmits the proposal information by, for example, issuing a notification on the sales management screen, transmitting a message to the salesperson terminal 301 of the selected salesperson, or the like.

In step (G), the salesperson creates content using the target product and transmits the content to the content posting device 204 via the salesperson terminal 301. Note that the creation and transmission of the content does not necessarily have to be performed on the terminal that received the proposal information. The content posting device 204 transmits the content to the EC site management device 202. The transmitted content is displayed on the EC site managed by the EC site management device 202 and provided as an advertisement for the sale of the product. The content posting device 204 may also transmit the content to a server that provides another SNS service to post the content.

In the product analysis system 10, the product analysis device 101 extracts products that are of great interest to consumers, have a certain amount of stock, or have a small amount of existing content, and suggests the creation of content for the extracted target products. This enables the person in charge of creating content to create content for products that are likely to appeal to consumers, have a certain amount of stock, or have a small amount of existing content, and content for sales promotion of recommended products can be appropriately provided.

Each unit of the product analysis device 101 will be described with reference to FIG. 3. The product analysis device 101 has a communication unit 1011, a memory unit 1012, a product analysis information acquisition unit 1013, an interest information acquisition unit 10131, a product information acquisition unit 10132, an existing content information acquisition unit 10133, a target product extraction unit 1014, a sales representative information acquisition unit 1015, and a proposal information transmission unit 1016.

Each part of the product analysis device 101 can be realized in a server device by a communication device, a storage device, and a processor that executes a program stored in the storage device.

The communication unit 1011 controls communication between the product analysis device 101 and devices external to the product analysis device 101, including the product management device 201, the EC site management device 202, and the sales representative terminal 301.

The memory unit 1012 acquires various information used for processing in the product analysis device 101. The memory unit 1012 stores interest information acquired from the EC site management device 202, product information acquired from the product management device 201, existing content information acquired from the EC site management device 202, and salesperson information acquired from the salesperson management device 203. This information will be described later.

The product analysis information acquisition unit 1013 acquires product analysis information associated with each of a plurality of products and used for analyzing the products for sale. The product analysis information is information including, for example, interest information, product information, or existing content information. The product analysis information acquisition unit 1013 includes an interest information acquisition unit 10131, a product information acquisition unit 10132, and an existing content information acquisition unit 10133.

The interest information acquisition unit 10131 acquires interest information indicating the consumer's interest in each of a number of products.

Figure 4 shows an example of interest information. The interest information has the fields "Product ID," "Number of page views," "Number of favorites," "Number of scans," and "Number of carts." The interest information may also include other information necessary to analyze a consumer's interest before purchasing a product.

The "Product ID" field stores identification information for identifying a product. The "PV count" field stores the number of views of the product on the EC site. The "Favorite count" field stores the number of times consumers have added the product to their favorites. The "Scan count" field stores the number of scans, which is the number of times the product tag of the product has been scanned in a physical store. The "Cart count" field stores the number of times consumers have temporarily saved the target product for purchase.

The product information acquisition unit 10132 acquires product information from the product management device 201. An example of product information is shown in FIG. 5. The product information has the following fields: "Product ID", "Inventory Information", and "Brand Information". The "Inventory Information" field stores information indicating the inventory of each product. For example, the inventory information includes information such as the number of products in stock at all stores, the number of products in stock by store, or the number of products in stock at an EC site. The "Brand Information" field stores information on the product brand to which the product belongs. The product information may also include information on "Store Sales Volume" and "EC Site Sales Volume" for each product.

The existing content information acquisition unit 10133 acquires existing content information stored in the EC site management device 202. The existing content information includes information on the number of contents for each product. Note that there are products such as clothes and shoes, for which sizes are set and used to generate styling information, as well as products such as bags and accessories, for which sizes are not set. The existing content information will be described later.

The target product extraction unit 1014 extracts target products whose product analysis information satisfies a predetermined condition from among multiple products. For example, when interest information is used as the product analysis information, the predetermined condition for the product analysis information is a condition as to whether each numerical value in the interest information is greater than a certain threshold value, or a condition as to whether the rate of change of these numerical values in a predetermined period (e.g., one month, one week, etc.) is greater than a predetermined threshold value. When product information including inventory information is used as the product analysis information, the predetermined condition is a condition as to whether there is a predetermined number or more of inventory. When existing content information is used as the product analysis information, the predetermined condition is a condition as to whether the number of existing contents is less than a predetermined threshold value.

The salesperson information acquisition unit 1015 acquires salesperson information from the salesperson management device 203. The salesperson information will be described later.

The proposal information sending unit 1016 sends proposal information to the target salesperson that is associated with the target product and proposes the creation of content using the target product. The proposal information sending unit 1016 sends the proposal information, for example, by issuing a notification on a sales management screen viewed by the salesperson terminal 301, sending a message to the salesperson terminal 301, or the like. The target salesperson is a salesperson to whom the creation of content is actually proposed, among multiple salespersons (candidate salespersons). The proposal information sending unit 1016 may select a salesperson suitable for creating content from the multiple candidate salespersons, and send proposal information to the selected salesperson as the target salesperson.

Figure 6 shows an example of existing content information stored in the content information DB of the EC site management device 202. The existing content information includes content created by a sales representative and information associated with the content. The existing content information is information that includes at least one of product introduction information and styling information.

The product introduction information has the fields "Product ID" and "Post display information". In the "Post display information" field, for example, text information, image information, or video information for explaining the product is stored as an article in a product introduction blog or information posted on a social networking service (SNS). The post display information is content created by a sales representative. When proposing the creation of content to a sales representative, the creation of post display information is proposed to the sales representative. In the example of FIG. 6, post display information is stored for products with product IDs "MID001" and "MID002". As for post display information, multiple posts may be stored for each product.

The styling information has the following items: "Product ID", "Size Information", "Body Type Information", and "Styling Display Information". The "Size Information" item stores size information of a product to which a certain styling display information is associated. The "Body Type Information" item stores body type information of the person in charge who created the styling display information. Here, the body type information is, for example, the height information of the person in charge. The "Styling Display Information" item stores information for displaying styling to consumers. The styling display information is, for example, information including information of photos or videos showing styling examples on an EC site, text information for explaining the product or styling, and audio information for explaining the styling, and is information provided to consumers through an EC site. The styling display information is content created by a sales person. When a sales person is proposed to create content, the creation of styling display information is proposed to the sales person. In the example of FIG. 6, for a product with a product ID of "MID003", two styling display information of "S" and one styling display information of "M" or "L" are stored as size information. Also, for example, the styling display information for size "M" is stored as information created by a person with body type information of "155-159 cm."

FIG. 7 shows an example of the number of styling display information by size and body type for a certain product. In FIG. 7, the number of styling display information by body type (height) is shown for each of the sizes "S", "M", and "L". For example, for the product, in the case of size "M", styling display information is only available for body types of "155-159 cm" or "160-164 cm". In this way, if there is variation in styling display information by product size and body type, styling display information that meets the needs of various consumers may not be provided, and sales promotion of the product may not be sufficiently carried out. The product analysis device 101 can select a size and body type for which styling display information is insufficient and prompt the person in charge to create styling display information for that size and body type, thereby enriching the styling information. Such mapping of the number of styling display information by size and body type may be performed in the EC site management device 202 or in the product analysis device 101.

8 shows an example of salesperson information. The styling information has the fields "Seller ID", "Body type information", "Store information", and "Brand information". The "Seller ID" field stores information that identifies each seller. Based on the seller ID, the product analysis device 101 can send the provided information to a specific contact or notification destination. The "Body type information" field stores the height information of each seller. Note that in addition to height, more detailed measurements (e.g., shoulder width, chest width, etc.) may be stored as body type information. The "Store information" field stores information indicating the store to which the salesperson belongs. The "Brand information" field stores information indicating the product brand to which the salesperson is in charge. For example, for a seller with a seller ID of "SID001", body type information is stored as "149 cm", store information is stored as "Store A", and brand information is stored as "Brand A". Note that a seller may belong to multiple stores and may be associated with multiple brands.

An overview of the processing in the product analysis device 101 will be described with reference to FIG. 9. In step S901, the product analysis information acquisition unit 1013 acquires product analysis information. Specifically, the interest information acquisition unit 10131 acquires interest information as product analysis information from the EC site management device 202. Alternatively, the product information acquisition unit 10132 acquires product information including inventory information from the product management device 201. Alternatively, the existing content information acquisition unit 10133 acquires existing content information from the EC site management device 202.

In step S902, the target product extraction unit 1014 extracts products that satisfy a predetermined condition for the product analysis information as target products. For example, when interest information is used as the product analysis information, the predetermined condition for the product analysis information is a condition as to whether each numerical value in the interest information is greater than a certain threshold value, or a condition as to whether the rate of change of these numerical values over a predetermined period (e.g., one month, one week, etc.) is greater than a predetermined threshold value. Products that satisfy such conditions are extracted as target products for which content creation is proposed.

In addition, when product information including inventory information is used as product analysis information, the condition is whether a certain number or more of products are in stock. For example, if the inventory of a certain product is greater than a certain number, the product is extracted as a target product for which content creation will be proposed.

Furthermore, the specified condition when using existing content information as product analysis information is whether the number of existing contents is less than a specified threshold. For example, if the content is not styling display information, products in which the number of post display information in the existing content information is less than a specified threshold are extracted as target products. Furthermore, if the content is styling display information, products in which the number of styling display information in the existing content information is less than a specified threshold are extracted as target products. At this time, a condition may be set for the number of styling display information by size and body type, and products in which the number of styling display information by size and body type is less than a specified threshold may be extracted as target products.

When extracting target products, interest information, product information, and existing content information may be combined, and target products may be extracted based on predetermined conditions for each. For example, products whose interest information meets predetermined conditions and whose inventory information meets predetermined conditions may be extracted as target products. Alternatively, products whose interest information meets predetermined conditions and whose existing content information meets predetermined conditions may be extracted as target products. Alternatively, products whose inventory information meets predetermined conditions and whose existing content information meets predetermined conditions may be extracted as target products. Alternatively, products whose interest information, inventory information, and existing content information all meet predetermined conditions may be extracted as target products. At this time, the product analysis device 101 can acquire information necessary for extracting target products by the product analysis information acquisition unit 1013.

In step S903, the product analysis device 101 executes a proposal process to send the proposal information to the target salesperson. The proposal process will be described in detail later.

Then, the content is created and transmitted from the salesperson terminal 301 to the content posting device 204, where it is stored in the EC site management device 202.

An example of the proposal process will be described with reference to FIG. 10. In step S1001, the sales representative information acquisition unit 1015 acquires sales representative information from the sales representative management device 203.

In step S1002, the proposal information sending unit 1016 selects a sales representative to whom content creation will be proposed based on the sales representative information.

In step S1003, the proposal information sending unit 1016 sends the proposal information to the sales representative selected based on the sales representative information. The sales representative then creates content, and the content is sent from the sales representative terminal 301 to the EC site management device 202 via the content posting device 204.

When consumers view a product on an EC site, they can view content associated with that product. This can encourage consumers to purchase the product. Furthermore, if the content is a post on a social networking site, information indicating that a post has been made by a salesperson is transmitted to the EC site management device 202, and the information on the post itself does not necessarily have to be transmitted to the EC site management device 202. In this case, the EC site management device 202 updates the existing content information by associating only the information indicating that the content has been posted with the product.

The selection of a sales representative is based on various conditions. Figure 11 shows, as an example, the process of sending proposal information that takes into account the product's inventory in the store.

In step S1101, the sales representative information acquisition unit 1015 acquires sales representative information from the sales representative management device 203.

In step S1102, the proposal information sending unit 1016 refers to inventory information by store. The inventory information referred to at this time may be acquired in advance by the product information acquisition unit 10132, or may be acquired by the product information acquisition unit 10132 during the processing of step S1102.

In step S1103, the proposal information sending unit 1016 selects a sales representative who belongs to a store that has stock of the target product based on the inventory information and the store information included in the sales representative information. In step S1104, the proposal information sending unit 1016 sends the proposal information to the sales representative selected based on the sales representative information.

In addition to taking into account inventory information, the proposed information may be sent to a salesperson whose product brand information associated with the target product matches the product brand information associated with the salesperson. In this case, the proposed information sending unit 1016 can refer to the product brand information of the target product, and select a salesperson associated with the product brand to which the target product is classified, based on the product brand information and the salesperson information.

As another example, FIG. 12 shows processing in which the content is styling display information and proposal information is sent that takes into account the body type of the salesperson.

In step S1201, the salesperson information acquisition unit 1015 acquires salesperson information from the salesperson management device 203.

In step S1202, the proposal information sending unit 1016 refers to existing content information including styling display information as existing content associated with the target product. The existing content information referred to at this time may be acquired in advance by the existing content information acquisition unit 10133, or may be acquired by the existing content information acquisition unit 10133 during the processing of step S1202.

In step S1203, the proposal information sending unit 1016 obtains the number of styling display information items by size and body type associated with the target product.

In step S1204, the proposal information sending unit 1016 identifies a size for which the number of styling display information by size is smaller than a predetermined threshold.

In step S1205, the proposal information sending unit 1016 identifies body types for which the number of styling display information for each body type is smaller than a predetermined threshold value.

In step S1206, the proposal information sending unit 1016 selects a salesperson (target salesperson) who has body type information that matches the specified size or the specified body type. For example, in the example of FIG. 7, it is assumed that the size is specified as "L" by the processing of step S1204. Next, it is assumed that the height range is specified as "160-164 cm" by the processing of step S1205. At this time, in step S1206, the proposal information sending unit 1016 refers to the salesperson information and selects a salesperson who has body type information that matches the size "L" or the height range "160-164 cm". The selection of a salesperson may be performed so as to satisfy two conditions of size and body type. In this case, a salesperson who has body type information that matches the size "L" and the height range "160-164 cm" is selected. The selection of a salesperson may also be performed so as to satisfy only the condition of size or only the condition of body type.

In step S1207, the proposal information sending unit 1016 sends the proposal information to the selected salesperson. At this time, the proposal information sending unit 1016 proposes to the selected salesperson that styling display information be created using target products of the size (e.g., size "L") identified in the processing of step S1204. As a result, for example, when a salesperson with a body type in the height range of "160-164 cm" has created a small amount of styling display information using target products of size "L," creation of styling display information using target products of size "L" is proposed to a salesperson who fits size "L" or a height range of "160-164 cm." Note that the order of the processing from step S1203 to S1205 can be changed as appropriate.

When selecting a salesperson based on body type information, the salesperson may be selected based on store information associated with the salesperson and inventory information for each store obtained from the product management device 201, with the condition that the store has stock of the target product. The salesperson may also be selected based on the condition that the brand information associated with the target product is information on the product brand associated with the salesperson.

The styling display information is transmitted from the salesperson terminal 301 to the EC site management device 202 via the content posting device 204 and is displayed on the EC site. When a consumer views a product on the EC site, the consumer can view the styling information associated with the product. This makes it possible to encourage the consumer to purchase the product.

In the above example, a sales representative is selected after the target product is extracted. However, the target product may be extracted after the sales representative is selected, and the creation of post display information may be proposed. For example, when a sales representative logs in to a website provided by the product analysis device 101, target products suitable for the sales representative may be extracted, and proposed information may be generated and transmitted.

In this way, the product analysis device 101 can extract products that are attracting a lot of attention from consumers, products with a certain amount of stock or more, or products with a small amount of existing content, and can prompt sales representatives to create content for the extracted products, so that content for promoting products that are recommended for sale can be appropriately provided. In addition, when sending the proposed information, the proposed information can be sent to an appropriate sales representative by taking into account the stock, product brand information, or the body type of the sales representative.

The present embodiment has been described above. In the product analysis device 101 according to the present embodiment, a computer is caused to execute the following: acquire product analysis information associated with each of a plurality of products and used for analyzing the sales of the plurality of products; extract, from the plurality of products based on the product analysis information, target products whose product analysis information satisfies a predetermined condition; and transmit proposal information associated with the target products and proposing the creation of content using the target products to the target sales representative.

As a result, for example, by suggesting the creation of content for target products whose product analysis information meets certain conditions, the burden on the target sales representative to decide which products to use to create content is reduced. This encourages the target sales representative to create content, and content for sales promotion of recommended products is appropriately provided.

In the above embodiment, the product analysis information may include interest information indicating consumer interest in each of the multiple products, and sending the suggestion information may further include sending the suggestion information to the target sales representative proposing the creation of content associated with the target product extracted based on the conditions for the interest information.

As a result, for example, target products are extracted based on the condition that they attract high consumer interest, and the input of content information is suggested. This allows the target salesperson to create content while knowing, for example, which products are attracting consumer interest. This encourages the target salesperson to create content, and content for promoting recommended products is appropriately provided.

In the above aspect, the product analysis information may include product information including inventory information for multiple products at multiple stores, and sending the proposal information may further include sending, to the target sales representative, proposal information that suggests the creation of content associated with the target products extracted based on conditions for the inventory information.

As a result, for example, target products are extracted based on product inventory, and input of content information is suggested. The target salesperson can create content while knowing, for example, which products have a certain amount of inventory or more and are likely to sell in large quantities. This encourages the target salesperson to create content, and content for sales promotion of recommended products is appropriately provided.

In the above aspect, the product analysis information may include existing content information that is information on existing content that uses any of the multiple products, and sending the proposal information may further include sending, to the target sales representative, proposal information that proposes the creation of content associated with the target product extracted based on conditions for the existing content information.

As a result, for example, target products are extracted based on the condition that the amount of content is small, and content input is suggested. The target salesperson can create content while knowing which products lack content. This encourages the target salesperson to create content, and content for sales promotion of recommended products is appropriately provided.

In the above aspect, the product analysis device 101 may further cause the computer to acquire salesperson information for each of a plurality of candidate salespersons who are candidates for the target salesperson, and transmitting the proposal information may further include selecting a salesperson suitable for creating content from the plurality of candidate salespersons based on the salesperson information, and transmitting the proposal information with the selected salesperson as the target salesperson.

This allows proposal information to be sent to sales representatives who are suited to creating the target product for which content is being created, so that content for promoting the recommended product can be provided appropriately.

In the above aspect, in the product analysis device 101, the product analysis information includes product information including inventory information for multiple products at multiple stores, the salesperson information includes store information for the stores to which multiple candidate salespersons who are candidates for the target salesperson belong, and transmitting the proposal information may further include selecting a salesperson who belongs to a store that has inventory of the target product from among the multiple candidate salespersons based on the product information and the store information, and transmitting the proposal information to the selected salesperson as the target salesperson.

As a result, salespeople are suggested to create content for target products that are in stock at their own stores. Therefore, content creation is encouraged for products for which content can definitely be created, and content for sales promotion of recommended products is appropriately provided.

In the above aspect, in the product analysis device 101, the product analysis information includes product information including information on the product brand to which each of the multiple products is classified, and the sales representative information includes information on the product brand associated with each of multiple candidate sales representatives who are candidates for the target sales representative, and transmitting the proposal information may further include selecting a sales representative associated with the product brand to which the target product is classified from the multiple candidate sales representatives based on the product information and the sales representative information, and transmitting the proposal information to the selected sales representative as the target sales representative.

As a result, the salesperson is suggested to create content for target products that correspond to the brand with which he or she is associated. Therefore, since the salesperson is prompted to create content for target products that he or she can handle, content for promoting the products that are recommended for sale is appropriately provided.

In the above aspect, in the product analysis device 101, the product analysis information includes existing content information that is information on existing content that uses any of the multiple products, the content is styling display information that indicates styling using the target product, the styling display information is associated with size information that indicates the size of the target product or body type information that indicates the body type of the creating salesperson who created the styling display information, and transmitting the proposed information may further include selecting a salesperson from multiple candidate salespersons who is suitable for the size or body type associated with the target product based on the size or body type associated with the styling display information and the body type information of each of the multiple candidate salespersons, where the number of existing content, which is the number of styling display information, is smaller than a predetermined threshold, and transmitting the proposed information to the selected salesperson as the target salesperson.

As a result, for body types with an insufficient amount of styling display information, a sales representative with an appropriate size or body type is selected to provide the missing styling display information, and the creation of styling information is suggested. The sales representative can easily create styling information because they only need to create styling display information that is appropriate for their own size or body type. This allows content for promoting products that are recommended for sale to be provided appropriately.

In the above aspect, the content may be information including at least one of text information, image information, and video information that describes the target product. This makes it possible to encourage the person in charge to create content to explain the product alone, for example, in addition to styling information that is a combination of products. This allows content to be appropriately provided to promote sales of recommended products.

The above-described embodiments are intended to facilitate understanding of the present invention, and are not intended to limit the present invention. The elements of the embodiments, as well as their arrangement, conditions, shape, size, etc., are not limited to those exemplified, and may be modified as appropriate. In addition, configurations shown in different embodiments may be partially substituted or combined.

10...Product analysis system, 101...Product analysis device, 201...Product management device, 202...EC site management device, 203...Salesperson management device, 204...Content posting device, 301a, 301b...Salesperson terminal, 1011...Communication unit, 1012...Memory unit, 1013...Product analysis information acquisition unit, 10131...Interest information acquisition unit, 10132...Product information acquisition unit, 10133...Existing content information acquisition unit, 1014...Target product extraction unit, 1015...Salesperson information acquisition unit, 1016...Proposal information transmission unit

Claims (16)

On the computer,
acquiring interest information associated with each of a plurality of products, the interest information quantitatively indicating a consumer's interest in each of the plurality of products;
extracting, from among the plurality of products, a target product whose change in the value of the interest information during a predetermined period satisfies a predetermined condition based on the interest information;
and transmitting, to a target sales representative, proposal information associated with the target product and proposing the creation of content using the target product. On the computer,
acquiring interest information associated with each of a plurality of products, the interest information quantitatively indicating a consumer's interest in each of the plurality of products;
extracting, from among the plurality of products, a target product whose change in the value of the interest information during a predetermined period satisfies a predetermined condition based on the interest information;
sending proposal information associated with the target product and proposing creation of content using the target product to a target sales representative;
The interest information includes the number of favorites the consumer has registered as a favorite on a website for viewing the product, the number of scans the consumer has scanned the product tag of the product in a physical store, or the number of times the consumer has temporarily saved information about the product on the website in order to purchase the product, a program. On the computer,
acquiring product analysis information associated with each of a plurality of products and used in an analysis for sales of the plurality of products;
extracting target products, the product analysis information of which satisfies a predetermined condition, from among the plurality of products based on the product analysis information;
sending proposal information associated with the target product and proposing creation of content using the target product to a target sales representative;
the product analysis information includes existing content information that is information on the existing content that uses any one of the plurality of products;
The program, wherein sending the proposal information includes sending the proposal information to the target sales representative proposing the creation of content to be associated with the target product extracted based on conditions for the existing content information. On the computer,
acquiring product analysis information associated with each of a plurality of products and used in an analysis for sales of the plurality of products;
extracting target products, the product analysis information of which satisfies a predetermined condition, from among the plurality of products based on the product analysis information;
sending proposal information associated with the target product to a target sales representative, the proposal information proposing creation of content using the target product;
acquiring sales representative information for each of a plurality of candidate sales representatives who are candidates for the target sales representative;
Transmitting the proposal information
selecting a sales representative suitable for creating the content from the plurality of candidate sales representatives based on the sales representative information;
The program further includes transmitting the proposal information to the selected sales representative as the target sales representative. The program according to claim 4,
The product analysis information includes product information including inventory information of the plurality of products in a plurality of stores,
The salesperson information includes store information of stores to which a plurality of candidate salespersons who are candidates for the target salesperson belong,
Transmitting the proposal information
selecting a sales representative belonging to a store that has stock of the target product from among the plurality of candidate sales representatives based on the product information and the store information;
The program further includes transmitting the proposal information to the selected sales representative as the target sales representative. The program according to claim 5,
the product analysis information includes product information including information on a product brand to which each of the plurality of products is classified,
The sales representative information includes information on the product brand associated with each of a plurality of candidate sales representatives who are candidates for the target sales representative;
Transmitting the proposal information
selecting a sales representative associated with the product brand to which the target product is classified from the plurality of candidate sales representatives based on the product information and the sales representative information;
The program further includes transmitting the proposal information to the selected sales representative as the target sales representative. The program according to claim 5,
the product analysis information includes existing content information that is information on the existing content that uses any one of the plurality of products;
The content is styling display information showing styling using the target product,
The styling display information is associated with size information indicating the size of the target product or body type information indicating the body type of the sales representative who created the styling display information,
Transmitting the proposal information
The program further includes selecting a salesperson from the plurality of candidate salespersons who is suitable for the size or body type associated with the target product based on the size or body type associated with styling display information where the number of existing contents, which is the number of styling display information, is smaller than a predetermined threshold and body type information of each of the plurality of candidate salespersons, and transmitting the proposal information to the selected salesperson as the target salesperson. The program according to any one of claims 1 to 5,
The content is information including at least one of text information, image information, and video information that describes the target product. The computer
acquiring interest information associated with each of a plurality of products, the interest information quantitatively indicating a consumer's interest in each of the plurality of products;
extracting, from among the plurality of products, a target product whose change in the value of the interest information during a predetermined period satisfies a predetermined condition based on the interest information;
and transmitting proposal information associated with the target product and proposing creation of content using the target product to a target sales representative. an interest information acquisition unit that acquires interest information associated with each of a plurality of products and quantitatively indicating a consumer's interest in each of the plurality of products;
a target product extraction unit that extracts, from among the plurality of products, target products whose change in the value of the interest information during a predetermined period satisfies a predetermined condition based on the interest information;
and a proposal information sending unit configured to send proposal information associated with the target product and proposing creation of content using the target product to a target sales representative. The computer
acquiring interest information associated with each of a plurality of products, the interest information quantitatively indicating a consumer's interest in each of the plurality of products;
extracting, from among the plurality of products, a target product whose change in the value of the interest information during a predetermined period satisfies a predetermined condition based on the interest information;
and transmitting proposal information associated with the target product to a target sales representative, the proposal information proposing the creation of content using the target product;
An information processing method in which the interest information includes the number of favorites in which the consumer has registered the product as a favorite on a website for viewing the product, the number of scans, which is the number of times the consumer has scanned the product tag of the product in a physical store, or the number of times the consumer has temporarily saved information about the product on the website in order to purchase the product. an interest information acquisition unit that acquires interest information associated with each of a plurality of products and quantitatively indicating a consumer's interest in each of the plurality of products;
a target product extraction unit that extracts, from among the plurality of products, target products whose change in the value of the interest information during a predetermined period satisfies a predetermined condition based on the interest information;
a proposal information sending unit that sends proposal information associated with the target product and that proposes the creation of content using the target product to a target sales representative;
The interest information includes the number of favorites that the consumer has registered as a favorite on a website for viewing the product, the number of scans that is the number of times the product tag of the product has been scanned in a physical store, or the number of times information about the product has been temporarily saved on the website in order to purchase the product, in an information processing device. The computer
acquiring product analysis information associated with each of a plurality of products and used in an analysis for sales of the plurality of products;
extracting target products, the product analysis information of which satisfies a predetermined condition, from among the plurality of products based on the product analysis information;
and transmitting proposal information associated with the target product to a target sales representative, the proposal information proposing the creation of content using the target product;
the product analysis information includes existing content information that is information on the existing content that uses any one of the plurality of products;
The information processing method includes sending the proposal information to the target sales representative, the proposal information proposing the creation of content associated with the target product extracted based on conditions for the existing content information. a product analysis information acquisition unit that acquires product analysis information associated with each of a plurality of products and used for analyzing sales of the plurality of products;
a target product extraction unit that extracts target products, the product analysis information of which satisfies a predetermined condition, from among the plurality of products based on the product analysis information;
a proposal information sending unit that sends proposal information associated with the target product and that proposes the creation of content using the target product to a target sales representative;
the product analysis information includes existing content information that is information on the existing content that uses any one of the plurality of products;
The proposed information sending unit sends the proposed information proposing creation of the content to be associated with the target product extracted based on conditions for the existing content information to the target sales representative. The computer
acquiring product analysis information associated with each of a plurality of products and used in an analysis for sales of the plurality of products;
extracting target products, the product analysis information of which satisfies a predetermined condition, from among the plurality of products based on the product analysis information;
sending proposal information associated with the target product to a target sales representative, the proposal information proposing creation of content using the target product;
acquiring sales representative information for each of a plurality of candidate sales representatives who are candidates for the target sales representative;
Transmitting the proposal information
selecting a sales representative suitable for creating the content from the plurality of candidate sales representatives based on the sales representative information;
The information processing method further includes transmitting the proposal information to the selected sales representative as the target sales representative. a product analysis information acquisition unit that acquires product analysis information associated with each of a plurality of products and used for analyzing sales of the plurality of products;
a target product extraction unit that extracts target products, the product analysis information of which satisfies a predetermined condition, from among the plurality of products based on the product analysis information;
a proposal information sending unit that sends proposal information associated with the target product and that suggests creating content using the target product to a target sales representative;
a sales representative information acquisition unit that acquires sales representative information of each of a plurality of candidate sales representatives who are candidates for the target sales representative;
The proposal information transmission unit,
selecting a sales representative suitable for creating the content from the plurality of candidate sales representatives based on the sales representative information;
An information processing device that transmits the proposal information to the selected sales representative as the target sales representative.

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