Program, information processing method, and information processing device
The program and device address biased product selection by identifying high-interest, in-stock, or low-content products and proposing content creation, ensuring effective sales promotion.
Patent Information
- Application Number
- JP2024047932
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-25
- Publication Date
- 2025-10-07
- Estimated Expiration
- 2044-03-25
AI Technical Summary
Existing systems struggle with biased or inappropriate product selection during sales promotion, leading to insufficient sales promotion of recommended products.
A program and information processing device that acquires product analysis information, extracts target products based on predetermined conditions, and proposes content creation to sales representatives using the target products.
Enables appropriate content creation and promotion of recommended products by identifying high-interest, in-stock, or low-content products, reducing the burden on sales representatives and enhancing sales promotion.
Smart Images

Figure 2025147603000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to a program, an information processing method, and an information processing device. [Background technology]
[0002] 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 in a store or through advertisements on an e-commerce site. Patent Document 1 describes a styling providing system in which a stylist recommends effective products to a user. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Patent No. 6085017 Summary of the Invention [Problem to be solved by the invention]
[0004] As described in Patent Document 1, in addition to directly acquiring a 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 struggle to select the product to use, which may result in a biased or inappropriate product selection. As a result, there is a possibility that the sales promotion of the recommended product may not be carried out sufficiently.
[0005] Therefore, an object of the present invention is to provide a program, a method, and an information processing device that can appropriately provide content for promoting a product that is recommended for sale. [Means for solving the problem]
[0006] A program according to one aspect of the present invention causes a computer to perform the following operations: 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 meets predetermined conditions; and send proposal information associated with the target products and proposing the creation of content using the target products to a target sales representative.
[0007] 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 predetermined conditions, and transmitting proposal information associated with the target products and proposing the creation of content using the target products to a target sales representative.
[0008] 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 based on the product analysis information, target products whose product analysis information satisfies predetermined conditions, and a proposal information transmission unit that is associated with the target products and transmits proposal information that proposes the creation of content using the target products to a target sales representative. [Effects of the Invention]
[0009] According to the present invention, it is possible to provide a program, a method, and an information processing device that are capable of appropriately providing content for promoting a product that is recommended for sale. [Brief explanation of the drawings]
[0010] [Figure 1] FIG. 1 is a schematic diagram of a product analysis system. [Figure 2] FIG. 1 is a diagram illustrating an overview of processing in a product analysis system. [Figure 3]FIG. 2 is a block diagram of a product analysis device. [Figure 4] 10 is an example of interest information according to the present embodiment. [Figure 5] 10 is an example of product information according to the present embodiment. [Figure 6] 10 is an example of existing content information according to the present embodiment. [Figure 7] 10 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. [Figure 8] 10 is an example of sales representative information according to the embodiment. [Figure 9] 1 is an outline of a process performed by a product analysis device according to the present embodiment. [Figure 10] 10 is an example of a process performed by the product analysis device according to the present embodiment. [Figure 11] 10 is another example of processing by the product analysis device according to the present embodiment. [Figure 12] 10 is another example of processing by the product analysis device according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the drawings, components with the same reference numerals have the same or similar configurations.
[0012] 1 shows a schematic diagram of a product analysis system 10 according to this embodiment. The product analysis system 10 includes a product analysis device 101, a product management device 201, an EC site management device 202, a salesperson management device 203, a content posting device 204, and salesperson terminals 301a and 301b. These terminals, devices, and servers are communicatively connected via a network N. Although there are multiple salesperson terminals, such as the salesperson terminals 301a and 301b, they will be simply referred to as the salesperson terminal 301 when there is no need to distinguish between them.
[0013] 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.
[0014] Content is information that explains 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 a product. For example, if the product is clothing or accessories, the content is examples of how the clothing or accessories are worn, and if the product is a bag or miscellaneous item, the content is information showing examples of how the product is used. 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 on a product introduction blog or post display information posted on an SNS (Social Networking Service), 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.
[0015] Styling information is information that includes styling display information, which is information that shows how a combination of multiple products (e.g., clothing) is actually worn by a person, and information for identifying the products associated with the styling display information. The styling display information is content created by a salesperson at a store or the like. Content created by a salesperson in this way is sometimes called staff styling. The styling information includes the 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 salesperson wearing the product. The styling display information may include, for example, an image or video showing how the salesperson wears the clothing.
[0016] 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.
[0017] The EC site management device 202 is an information processing device such as a server that manages an EC site that consumers access using their own terminals (e.g., smartphones, PCs, etc.) to view products. The EC site management device 202 records, as interest information, the number of views (PV count) of each product on the EC site, the number of favorites registered by consumers, the number of scans that are the number of times a product tag 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.
[0018] The salesperson management device 203 is an information processing device that manages information on product salespersons belonging to each store. The salesperson management device 203 stores, for example, information for identifying the salesperson (such as name and ID), the store to which the salesperson belongs, the product brand to which the salesperson belongs, and the salesperson's physique information (for example, height).
[0019] The content posting device 204 is an information processing device that accepts posting of content created by a salesperson who has received a content creation proposal from the product analysis device 101. The content acquired by the content posting device 204 is transmitted to, for example, the EC site management device 202, or posted on another SNS.
[0020] The salesperson terminal 301 is a terminal operated by a salesperson of a product, 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.
[0021] An overview of the processing in the product analysis system 10 will be described with reference to FIG. 2. First, in step (A), the product analysis device 101 acquires interest information indicating a salesperson's interest in a product through an e-commerce site accessed by a consumer via terminal D1 or by scanning a product tag at store S with terminal D1. The interest information is information indicating a consumer's interest in a product before purchasing the product. Specifically, the interest information includes the number of views (PVs) of each product on the e-commerce site, the number of favorites registered by the consumer, the number of scans of a product's product tag at store S, and the number of times the product has been temporarily saved for purchase (e.g., the number of times it has been saved in a shopping cart on the e-commerce site). The larger these values are, the more likely the product is of high consumer interest, a best-selling product, or a product with the potential to become a best-selling product in the future, and therefore the more likely it is to be recommended for sale. The product analysis device 101 also acquires existing content information, which is information on existing content stored in the e-commerce site management device 202. The product analysis device 101 may acquire the existing content information from the EC site management device 202 or the content posting device 204.
[0022] 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 (for example, the product's product number, product ID, etc.). The product information also includes inventory information indicating the product's inventory at all stores, the inventory at each store, and the inventory at the EC site. Note that in the product analysis system 10, information about products actually sold at the store S or the EC site may be transmitted to the product management device 201 and stored therein.
[0023] The product analysis device 101 analyzes 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.
[0024] In step (C), the product analysis device 101 extracts target products from the plurality of 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 count), number of favorites, number of scans, or number of times temporarily saved, when interest information is used as the product analysis information. For example, the condition is whether various numbers included in the interest information are greater than a certain threshold, or whether the rate of change in these numbers over a predetermined period (e.g., one month, one week, etc.) is greater than a predetermined threshold. Furthermore, when product information including inventory information is used as the product analysis information, the predetermined condition is whether there is a predetermined number or more of inventory. Furthermore, when existing content information is used as the product analysis information, the predetermined condition is whether the number of existing content items is less than a predetermined threshold.
[0025] In step (D), the product analysis device 101 acquires salesperson information from the salesperson management device 203 .
[0026] 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. Furthermore, the product analysis device 101 may select a salesperson whose body type information satisfies a predetermined condition, based on the body type information of the salesperson.
[0027] 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 of the selected salesperson, transmitting a message to the salesperson terminal 301 of the selected salesperson, or the like.
[0028] 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 and post the content.
[0029] In the product analysis system 10, the product analysis device 101 extracts products that are of great interest to consumers, products with a certain amount of inventory, or products with 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, products with a certain amount of inventory, or products with a small amount of existing content, and content for promoting recommended products can be appropriately provided.
[0030] 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 salesperson information acquisition unit 1015, and a proposal information transmission unit 1016.
[0031] Each unit 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.
[0032] 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 salesperson terminal 301 .
[0033] The storage unit 1012 acquires various types of information used for processing in the product analysis device 101. The storage 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.
[0034] 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 sales. 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.
[0035] The interest information acquisition unit 10131 acquires interest information that indicates the consumer's interest in each of a plurality of products.
[0036] An example of interest information is shown in Figure 4. The interest information includes the following items: "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 certain product.
[0037] The "Product ID" field stores identification information for identifying a product. The "Page Views" field stores the number of views of the product on the e-commerce site. The "Favorites" field stores the number of times consumers have added the product to their favorites. The "Scans" field stores the number of times the product tag of the product has been scanned in a physical store. The "Carts" field stores the number of times consumers have temporarily saved the product for purchase.
[0038] The product information acquisition unit 10132 acquires product information from the product management device 201. FIG. 5 shows an example of product information. 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.
[0039] 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, each of which has a set size and is used to generate styling information, as well as products such as bags and accessories, for which no size is set. The existing content information will be described later.
[0040] The target product extraction unit 1014 extracts target products from a plurality of products whose product analysis information satisfies a predetermined condition. For example, when interest information is used as the product analysis information, the predetermined condition for the product analysis information is whether each numerical value in the interest information is greater than a threshold value, or 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. When product information including inventory information is used as the product analysis information, the predetermined condition is 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 whether the number of existing contents is less than a predetermined threshold value.
[0041] The salesperson information acquisition unit 1015 acquires salesperson information from the salesperson management device 203. The salesperson information will be described later.
[0042] The proposal information sending unit 1016 sends proposal information associated with the target product and proposing the creation of content using the target product to the target sales representative. The proposal information sending unit 1016 sends the proposal information by, for example, sending a notification to a sales management screen viewed by the sales representative terminal 301 or by sending a message to the sales representative terminal 301. The target sales representative is a sales representative who is actually proposed to create the content from among multiple sales representatives (candidate sales representatives). The proposal information sending unit 1016 may select a sales representative who is suitable for creating the content from the multiple candidate sales representatives and send proposal information to the selected sales representative as the target sales representative.
[0043] 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.
[0044] The product introduction information has the fields of "product ID" and "post display information." The "post display information" field stores, for example, text information, image information, or video information for explaining the product 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 suggesting the creation of content to a sales representative, the creation of post display information is suggested to the sales representative. In the example of FIG. 6, post display information is stored for products with product IDs "MID001" and "MID002." The post display information may store multiple posts for each product.
[0045] The styling information has the following fields: "product ID," "size information," "body type information," and "styling display information." The "size information" field stores size information of a product associated with certain styling display information. The "body type information" field stores body type information of the salesperson who created the styling display information. Here, the body type information is, for example, the salesperson's height information. The "styling display information" field stores information for displaying styling to consumers. The styling display information includes, for example, information on photos or videos showing styling examples on an e-commerce site, text information explaining the product or styling, and audio information explaining the styling, and is information provided to consumers through the e-commerce site. The styling display information is content created by a salesperson. When suggesting content creation to a salesperson, the creation of styling display information is suggested to the salesperson. In the example of FIG. 6, for a product with a product ID of "MID003," two styling display information items for "S" and one styling display information item each for "M" and "L" are stored. Also, for example, it is stored that styling display information with size information "M" is information created by a person in charge with body type information "155-159 cm."
[0046] FIG. 7 shows an example of the number of styling display information items by size and body type for a certain product. In FIG. 7, the number of styling display information items by body type (height) is shown for each size "S," "M," or "L." For example, for a product with size "M," styling display information is only available for body types of "155-159 cm" or "160-164 cm." If styling display information varies by product size and body type, styling display information that meets the needs of various consumers may not be provided, and product promotion may be insufficient. The product analysis device 101 can select sizes and body types for which styling display information is insufficient and prompt a sales representative to create styling display information for those sizes and body types, thereby enhancing styling information. This mapping of the number of styling display information items by size and body type may be performed by the EC site management device 202 or the product analysis device 101.
[0047] FIG. 8 shows an example of salesperson information. The styling information has the following fields: "Stylingperson ID," "Body Type Information," "Store Information," and "Brand Information." The "Stylingperson ID" field stores information identifying each salesperson. Based on the salesperson ID, the product analysis device 101 can send provided information to a predetermined contact or notification destination. The "Body Type Information" field stores height information for each salesperson. Note that body type information other than height may also store more detailed measurements (e.g., shoulder width, chest width, etc.). The "Store Information" field stores information indicating the store to which the salesperson belongs. The "Brand Information" field stores information indicating the product brand for which the salesperson is responsible. For example, for a salesperson with a salesperson 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 salesperson may belong to multiple stores and may be associated with multiple brands.
[0048] 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.
[0049] 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, if 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, 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. Products that satisfy such conditions are extracted as target products for which content creation is proposed.
[0050] Furthermore, when product information including inventory information is used as product analysis information, the condition is whether or not there is a predetermined number of items in stock. For example, if there is more than a predetermined number of items in stock, the item is extracted as a target item for content creation suggestions.
[0051] Furthermore, the predetermined condition when using existing content information as product analysis information is whether the number of existing contents is less than a predetermined threshold. For example, if the content is not styling display information, products for which the number of post display information in the existing content information is less than a predetermined threshold are extracted as target products. If the content is styling display information, products for which the number of styling display information in the existing content information is less than a predetermined threshold are extracted as target products. In this case, a condition may be set for the number of styling display information by size and body type, and products for which the number of styling display information by size and body type is less than a predetermined threshold may be extracted as target products.
[0052] Furthermore, 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. In this case, the product analysis device 101 can acquire information necessary for extracting target products using the product analysis information acquisition unit 1013.
[0053] 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.
[0054] Thereafter, the content is created, transmitted from the salesperson terminal 301 to the content posting device 204 , and stored in the EC site management device 202 .
[0055] An example of the proposal process will be described with reference to Fig. 10. In step S1001, the salesperson information acquisition unit 1015 acquires salesperson information from the salesperson management device 203.
[0056] In step S1002, the proposed information transmitting unit 1016 selects a sales representative to whom to propose content creation based on the sales representative information.
[0057] In step S1003, the proposed information sending unit 1016 sends the proposed information to the sales representative selected based on the sales representative information. After that, the sales representative 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.
[0058] When a consumer views a product on an EC site, the consumer can view content associated with the product. This can encourage the consumer to purchase the product. Furthermore, if the content is a post on an SNS, information indicating that the post was made by a salesperson is transmitted to the EC site management device 202, but the information on the post itself does not necessarily need 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 was posted with the product.
[0059] The selection of a salesperson is based on various conditions. As an example, Fig. 11 shows a process for transmitting proposal information that takes into account the inventory of the product in the store.
[0060] In step S 1101 , the salesperson information acquisition unit 1015 acquires salesperson information from the salesperson management device 203 .
[0061] In step S1102, the proposal information sending unit 1016 refers to stock information by store. The stock information referred to at this time may be acquired in advance by the product information acquiring unit 10132, or may be acquired by the product information acquiring unit 10132 during the processing of step S1102.
[0062] In step S1103, the proposal information sending unit 1016 selects a salesperson who belongs to a store that has stock of the target product based on the inventory information and the store information included in the salesperson information. In step S1104, the proposal information sending unit 1016 sends the proposal information to the salesperson selected based on the salesperson information.
[0063] In addition to taking inventory information into consideration, 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 categorized, based on the product brand information and salesperson information.
[0064] FIG. 12 shows another example of processing in which the content is styling display information and proposal information is sent taking into consideration the body type of the salesperson.
[0065] In step S 1201 , the salesperson information acquisition unit 1015 acquires salesperson information from the salesperson management device 203 .
[0066] 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.
[0067] In step S1203, the suggestion information transmitting unit 1016 acquires the number of styling display information items by size and body type associated with the target product.
[0068] In step S1204, the suggestion information transmitting unit 1016 identifies a size for which the number of pieces of styling display information for each size is smaller than a predetermined threshold.
[0069] In step S1205, the suggested information transmitting unit 1016 identifies a body type for which the number of styling display information items for each body type is smaller than a predetermined threshold.
[0070] In step S1206, the suggested information transmitting unit 1016 selects a salesperson (target salesperson) who has body type information that matches the identified size or the identified body type. For example, in the example of FIG. 7, it is assumed that size "L" is identified as the size in step S1204. Subsequently, it is assumed that a height range of "160-164 cm" is identified as the body type in step S1205. In this case, in step S1206, the suggested information transmitting unit 1016 refers to the salesperson information and selects a salesperson who has body type information that matches size "L" or a height range of "160-164 cm." The selection of a salesperson may be performed so as to satisfy two conditions, namely, size and body type. In this case, a salesperson who has body type information that matches size "L" and a height range of "160-164 cm" is selected. Alternatively, the selection of a salesperson may be performed so as to satisfy only the condition of size or only the condition of body type.
[0071] In step S1207, the proposal information transmitting unit 1016 transmits proposal information to the selected salesperson. At this time, the proposal information transmitting unit 1016 proposes to the selected salesperson that they create styling display information 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.
[0072] Furthermore, when selecting a salesperson based on body type information, the salesperson may be selected on the condition that the store has stock of the target product, based on store information associated with the salesperson and inventory information for each store obtained from the product management device 201. Furthermore, the salesperson may be selected on the condition that the brand information associated with the target product is information on the product brand associated with the salesperson.
[0073] 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 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 can encourage the consumer to purchase the product.
[0074] In the above example, a salesperson is selected after the target product is extracted, but the target product may be extracted after the salesperson is selected, and the creation of post display information may be proposed. For example, when a salesperson logs in to a website provided by the product analysis device 101, target products suitable for the salesperson may be extracted, and proposed information may be generated and transmitted.
[0075] 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 inventory or more, or products with a small amount of existing content, and can prompt sales representatives to create content for the extracted products, thereby enabling appropriate content to be provided for promoting products that are recommended for sale.In addition, when sending suggested information, the suggested information can be sent to the appropriate sales representative by taking into consideration inventory, product brand information, or the sales representative's body type.
[0076] The product analysis device 101 according to the present embodiment causes a computer to perform the following operations: 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 predetermined conditions; and transmit proposal information associated with the target products and proposing the creation of content using the target products to the target sales representative.
[0077] This reduces the burden on the target salesperson to decide which product to use to create content by suggesting content creation for target products whose product analysis information meets predetermined conditions, thereby encouraging the target salesperson to create content and providing appropriate content for promoting recommended products.
[0078] In the above aspect, 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 suggesting the creation of content associated with the target product extracted based on conditions for the interest information.
[0079] This allows target products to be extracted based on, for example, high consumer interest, and suggests the input of content information. This allows the target salesperson to create content while grasping, for example, which products are attracting consumer interest. This encourages the target salesperson to create content, and allows appropriate content to be provided for promoting recommended products.
[0080] 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 the proposal information to the target sales representative, proposing the creation of content to be associated with the target products extracted based on conditions for the inventory information.
[0081] This allows target products to be extracted based on product inventory, and content information input is suggested. Target salespeople can create content while knowing, for example, which products have a certain amount of inventory and are likely to sell in large quantities. This encourages target salespeople to create content, and content for promoting recommended products is provided appropriately.
[0082] In the above aspect, the product analysis information may include existing content information that is information about 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 suggests creating content to be associated with the target product extracted based on conditions for the existing content information.
[0083] This allows target products to be extracted based on the condition that the number of contents is small, and content input is suggested. The target sales representative can create content while understanding which products lack content. This encourages the target sales representative to create content, and content for sales promotion of recommended products can be appropriately provided.
[0084] 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 proposed 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 proposed information to the selected salesperson as the target salesperson.
[0085] This allows the proposal information to be sent to a salesperson who is suitable for creating the target product for which content is to be created, so that content for promoting the recommended product can be provided appropriately.
[0086] 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, and the salesperson information includes store information for stores belonging to multiple candidate salespersons who are candidates for the target salesperson, and sending the proposal information may further include selecting a salesperson from the multiple candidate salespersons who belong to a store that has inventory of the target product in stock based on the product information and store information, and sending the proposal information to the selected salesperson as the target salesperson.
[0087] This allows salespeople to be suggested to create content for target products that are in stock at their stores, and encourages them to create content for products for which content can be created, ensuring that content for sales promotion of recommended products is provided appropriately.
[0088] In the above aspect, in the product analysis device 101, the product analysis information includes product information including information on product brands into which each of the multiple products is classified, and the sales representative information includes information on product brands associated with each of multiple candidate sales representatives who are candidates for the target sales representative, and sending the proposal information may further include selecting a sales representative associated with the product brand into which the target product is classified from the multiple candidate sales representatives based on the product information and the sales representative information, and sending the proposal information to the selected sales representative as the target sales representative.
[0089] This allows the salesperson to be suggested to create content for target products that correspond to the brand with which the salesperson is associated, and therefore encourages the salesperson to create content for target products that the salesperson can handle, so that content for promoting recommended products is appropriately provided.
[0090] In the above aspect, in the product analysis device 101, the product analysis information includes existing content information that is information about existing content using any of the multiple products, and the content is styling display information that shows styling using the target product, and the styling display information is associated with size information that shows the size of the target product or body type information that shows the body type of the creating sales representative who created the styling display information, and sending the proposed information may further include selecting a sales representative from multiple candidate sales representatives who is compatible with the size or body type associated with the target product based on the size or body type associated with the styling display information where the number of existing content, which is the number of styling display information, is smaller than a predetermined threshold and the body type information of each of the multiple candidate sales representatives, and sending the proposed information to the selected sales representative as the target sales representative.
[0091] As a result, for a body type with an insufficient amount of styling display information, a sales representative with the appropriate size or body type is selected to provide the missing styling display information, and the creation of styling information is proposed. 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 recommended products to be provided appropriately.
[0092] In the above aspect, the content may include 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 itself, in addition to styling information that is a combination of products. This allows content to be appropriately provided for promoting recommended products.
[0093] 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 illustrated and can be modified as appropriate. Furthermore, configurations shown in different embodiments can be partially substituted or combined with each other. [Explanation of symbols]
[0094] 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
1. On the computer, acquiring product analysis information associated with each of a plurality of products and used in analysis for sales of the plurality of products; extracting target products from the plurality of products based on the product analysis information, the product analysis information of which satisfies a predetermined condition; and transmitting proposal information associated with the target product and proposing creation of content using the target product to a target sales representative.
2. 2. The program according to claim 1, the product analysis information includes interest information indicating consumer interest in each of the plurality of products; The program, wherein sending the suggested information further includes sending the suggested information to the target sales representative proposing creation of content associated with the target product extracted based on conditions for the interest information.
3. 2. The program according to claim 1, the product analysis information includes product information including inventory information of the plurality of products in a plurality of stores, The program, wherein sending the proposal information further includes sending the proposal information to the target sales representative proposing creation of content associated with the target product extracted based on conditions for the inventory information.
4. 2. The program according to claim 1, the product analysis information includes existing content information that is information on the existing content that uses any of the plurality of products; The program, wherein sending the proposal information further includes sending the proposal information to the target sales representative proposing the creation of content associated with the target product extracted based on conditions for the existing content information.
5. 5. The program according to claim 1, 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.
6. 6. The program according to claim 5, 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 each of a plurality of candidate salespersons who are candidates for the target salesperson belongs, Transmitting the proposal information selecting a sales representative from the plurality of candidate sales representatives who belongs to a store that has stock of the target product 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.
7. 6. The program according to claim 5, the product analysis information includes product information including information on product brands 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 categorized 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.
8. 6. The program according to claim 5, the product analysis information includes existing content information that is information on the existing content that uses any 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 sales representative from the plurality of candidate sales representatives 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 the body type information of each of the plurality of candidate sales representatives, and transmitting the proposal information to the selected sales representative as the target sales representative.
9. 2. The program according to claim 1, The content is information including at least one of text information, image information, and video information that describes the target product.
10. The computer acquiring product analysis information associated with each of a plurality of products and used in analysis for sales of the plurality of products; extracting target products from the plurality of products based on the product analysis information, the product analysis information of which satisfies a predetermined condition; and sending proposal information associated with the target product and proposing creation of content using the target product to a target sales representative.
11. 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 the plurality of products based on the product analysis information; and a proposal information sending unit that sends proposal information associated with the target product and that proposes creation of content using the target product to a target sales representative.
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