KR102646738B1 - Apparatus and method for providing consulting services to companies selling products through online shopping malls - Google Patents

Abstract

This disclosure relates to a system that provides consulting services for product sales to companies that want to sell products through an online shopping mall using data provided from a shopping mall server. According to the present disclosure, the consulting service device receives company information about the company and product information about products sold by the company, and selects a plurality of products related to the product information among a plurality of products sold through the online shopping mall. Select comparative products, receive, from a shopping mall server, comparative content applied to a sales page of the plurality of comparative products, and comparison information about transaction details of the plurality of comparative products, and transaction details of the plurality of comparative products. Using the product, sales condition information regarding the sales price and sales period of the product is generated, and the product information, the company information, and comparison information are used to create listing information used for advertising the product through the online shopping mall. may be generated and consulting information including the listing information and the sales condition information may be transmitted to the enterprise terminal.

Description

Apparatus and method for providing consulting services to companies selling products through online shopping malls {APPARATUS AND METHOD FOR PROVIDING CONSULTING SERVICES TO COMPANIES SELLING PRODUCTS THROUGH ONLINE SHOPPING MALLS}

This disclosure generally relates to a consulting service provision system, and more specifically, to providing consulting services for product sales to companies wishing to sell products through online shopping malls using data provided from the shopping mall server. It relates to devices and methods.

As product trading through online shopping malls becomes more popular, the domestic and overseas online shopping mall market continues to grow rapidly every year. Buyers have the advantage of being able to easily purchase the products they want through online shopping malls, and sellers have the advantage of being able to overcome the limitations of offline stores thanks to the low entry barrier and advertising influence of online shopping malls, making the online shopping mall market the overall shopping mall market. This proportion is rapidly increasing.

Recently, in the era of the 4th Industrial Revolution, online shopping malls are gradually becoming smarter. In particular, global companies with big data analysis technology and artificial intelligence (AI) technology are presenting an evolved data commerce platform model based on data commerce. Although these companies are latecomers in the shopping mall business, they are showing rapid growth through enormous capital and technological capabilities, and are predicting fierce competition from the existing online shopping mall powerhouses, open market and social commerce.

Companies that sell products are making various attempts to improve sales through online shopping malls. For example, companies are making various attempts, such as hiring celebrities to promote their products or paying additional advertising fees to platforms so that their products can be found at the top of the search results page of online shopping malls. However, these attempts may only have temporary effects unless search engine optimization specialized for online shopping malls is implemented, and it is difficult to expect long-term sales increase.

According to the prior art, from the perspective of a company wishing to start selling products through an online shopping mall, there was a problem in that it was difficult to conduct a customized search engine optimization analysis corresponding to the online shopping mall they wanted to use. In response to this, there is a need to develop technology to provide consulting that can develop in the long term by providing consulting services based on the characteristics of the company and the online shopping mall.

The above-mentioned technology is technical information that the inventor possessed for deriving the present invention or acquired in the process of deriving the present invention, and does not necessarily indicate known technology disclosed to the general public before filing the application for the present invention.

Registered Patent Publication No. 10-2396491 (2022.05.12)

Based on the above-described discussion, this disclosure provides a device and method for providing consulting services for product sales to companies wishing to sell products through an online shopping mall using comparative information provided from a shopping mall server. to provide.

In addition, the present disclosure expands the scope of products to be compared in the consulting service provision system and provides an apparatus and method for proposing product sales conditions based on the transaction history of the compared products.

Additionally, the present disclosure provides an apparatus and method for suggesting tags used for product search in an online shopping mall based on product information, company information, and comparison information in a consulting service provision system.

Additionally, the present disclosure provides an apparatus and method for proposing the configuration of contents listed on a product description page in an online shopping mall in a consulting service provision system.

According to various embodiments of the present disclosure, a method of operating a consulting service device that provides consulting services to a company selling products through an online shopping mall includes receiving, from a corporate terminal, corporate information about the company, and products sold by the company. receiving product information about the product, selecting a plurality of comparative products related to the product information from among a plurality of products sold through the online shopping mall, and comparing applied to a sales page of the plurality of compared products from a shopping mall server. Receiving comparative information about contents and transaction details of the plurality of comparative products, using the transaction details of the plurality of comparative products, generating sales condition information about the sales price and sales time of the product , using the product information, the company information, and comparison information, to generate listing information used for advertising the product through the online shopping mall, and to the enterprise terminal, the listing information and the sales condition information. It may include transmitting the included consulting information.

According to another embodiment, the product information includes the color, specifications, producer, and production location of the product, and the step of selecting a plurality of comparison products related to the product information includes any of the elements included in the product information. Generating expanded product information by changing one, extracting at least one of products related to the product information in the shopping mall to determine a first comparative product group, among products related to the expanded product information in the shopping mall It may include extracting at least one to determine a second comparison product group, and selecting a plurality of comparison products using the first comparison product group and the first comparison product group.

According to another embodiment, the step of generating the sales condition information includes setting a recommended sales price for the product based on the sales volume for the first comparison product group and the number of scheduled purchases for the second comparison product group. It may include a step of calculating, and a step of determining a recommended sales time using the difference between the sales volume distribution for the first comparison product group and the sales volume distribution for the second comparison product group.

According to another embodiment, the step of generating the listing information includes extracting keywords from the comparison content and calculating a keyword vector indicating the importance of each of the keywords based on the frequency of the keywords, the keyword Using the vector and the product information, generating tag information used for searching for the product in the online shopping mall, using the keyword vector, the company information, and the comparison information, the performance and It may include generating sales content that describes a review, and generating listing information including the tag information and the sales content.

Various respective aspects and features of the invention are defined in the appended claims. Combinations of the features of the dependent claims may be combined with the features of the independent claims as appropriate, not just those explicitly set out in the claims.

Additionally, one or more features selected from any one embodiment described in this disclosure may be combined with one or more features selected from any other embodiments described in this disclosure, and alternatives to these features may be used. A combination of the above may at least partially alleviate one or more technical problems discussed in this disclosure, or at least partially alleviate technical problems that can be discerned by a person skilled in the art from this disclosure, and further provide the features of the embodiments ( Unless such a particular combination or permutation of embodiment features is understood by those skilled in the art to be incompatible, the combination is possible.

In any described example implementation of this disclosure, two or more physically distinct components may alternatively be integrated into a single component if such integration is possible, so forming a single component. If the same function is performed by , integration is possible. Conversely, a single component of any embodiment described in this disclosure may alternatively, where appropriate, be implemented as two or more separate components that achieve the same functionality.

It is an object of certain embodiments of the present invention to solve, alleviate or eliminate, at least in part, at least one of the problems and/or disadvantages associated with the prior art. Certain embodiments aim to provide at least one of the advantages described below.

The apparatus and method according to various embodiments of the present disclosure enable consulting services on product sales tailored to the company's needs to be provided to companies that wish to sell products through an online shopping mall using comparison information provided from a shopping mall server.

In addition, the apparatus and method according to various embodiments of the present disclosure expands the range of products subject to comparison in the consulting service provision system, thereby making it possible to recommend sales conditions for the corresponding product according to the transaction history of the expanded comparison products. .

Additionally, the apparatus and method according to various embodiments of the present disclosure enable the consulting service providing system to recommend tags used for product search in an online shopping mall based on product information, company information, and comparison information.

Additionally, the apparatus and method according to various embodiments of the present disclosure enable the consulting service providing system to recommend the configuration of contents listed on the product description page in the online shopping mall.

The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

The accompanying drawings, which are included as part of the detailed description to aid understanding of the embodiments, provide various embodiments and together with the detailed description describe technical features of the various embodiments.
1 illustrates a consulting service providing system according to various embodiments of the present disclosure.
FIG. 2 illustrates the configuration of a consulting service device in a consulting service providing system according to various embodiments of the present disclosure.
FIG. 3 illustrates an example of a sales page with contents listed in a consulting service provision system according to various embodiments of the present disclosure.
FIG. 4 illustrates a schematic diagram of a process for generating consulting information in a consulting service provision system according to various embodiments of the present disclosure.
FIG. 5 illustrates a flowchart of a method of operating a consulting service providing system according to various embodiments of the present disclosure.
FIG. 6 illustrates a flowchart of a method of operating a consulting service device in a consulting service providing system according to various embodiments of the present disclosure.

Terms used in the present disclosure are merely used to describe specific embodiments and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions, unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as generally understood by a person of ordinary skill in the technical field described in this disclosure. Among the terms used in this disclosure, terms defined in general dictionaries may be interpreted to have the same or similar meaning as the meaning they have in the context of related technology, and unless clearly defined in this disclosure, have an ideal or excessively formal meaning. It is not interpreted as In some cases, even terms defined in the present disclosure cannot be interpreted to exclude embodiments of the present disclosure.

In various embodiments of the present disclosure described below, a hardware approach method is explained as an example. However, since various embodiments of the present disclosure include technology using both hardware and software, the various embodiments of the present disclosure do not exclude software-based approaches.

Hereinafter, this disclosure relates to a system that provides consulting services to companies that want to sell products through an online shopping mall. Specifically, this disclosure describes a technology for providing consulting services for product sales customized to companies to companies using data provided from a shopping mall server.

Below, various embodiments will be described in detail with reference to the attached drawings so that those skilled in the art can easily implement them. However, since the technical idea of the present disclosure can be modified and implemented in various forms, it is not limited to the embodiments described in this specification. In describing the embodiments disclosed in this specification, if it is determined that detailed description of related known technologies may obscure the gist of the technical idea of the present disclosure, detailed descriptions of the known technologies will be omitted. Identical or similar components will be assigned the same reference number and duplicate descriptions thereof will be omitted.

In this specification, when an element is described as being "connected" to another element, this includes not only the case of being "directly connected" but also the case of being "indirectly connected" with another element in between. When an element is said to “include” another element, this means that it does not exclude another element in addition to the other element, but may further include another element, unless specifically stated to the contrary.

Some embodiments may be described in terms of functional block configurations and various processing steps. Some or all of these functional blocks may be implemented as any number of hardware and/or software configurations that perform specific functions. For example, the functional blocks of the present disclosure may be implemented by one or more microprocessors, or may be implemented by circuit configurations for certain functions. Functional blocks of the present disclosure may be implemented in various programming or scripting languages. The functional blocks of this disclosure may be implemented as algorithms running on one or more processors. Functions performed by a functional block in the present disclosure may be performed by a plurality of functional blocks, or functions performed by a plurality of functional blocks in the present disclosure may be performed by a single functional block. Additionally, the present disclosure may employ conventional technologies for electronic environment setup, signal processing, and/or data processing.

In addition, in the present disclosure, the expressions greater than or less than are used to determine whether a specific condition is satisfied or fulfilled, but this is only a description for expressing an example and excludes descriptions of more or less. It's not about doing it. Conditions written as ‘more than’ can be replaced with ‘more than’, conditions written as ‘less than’ can be replaced with ‘less than’, and conditions written as ‘more than and less than’ can be replaced with ‘greater than and less than’.

FIG. 1 illustrates a consulting service providing system 100 according to various embodiments of the present disclosure.

The consulting service providing system 100 instructs a system that provides consulting information to increase sales to companies that want to sell products through an online shopping mall. Specifically, companies can register and sell products at online shopping malls, and online shopping malls can mediate product transactions between sellers and buyers by receiving information related to product sales from companies and uploading them to the online shopping mall. Here, the consulting service provider suggests the sales price or sales period for the product the company wants to sell, suggests the composition of content displayed on the online shopping mall sales page, or recommends tags for buyers to search for the company's products. Consulting services can be provided. In addition, consulting service providers can perform various consulting services, such as market research and analysis of products, uploading products to online shopping malls, and operation management support. According to an embodiment of the present disclosure, the consulting service providing system 100 may include an enterprise terminal 110, a shopping mall server 130, a consulting service device 150, and a network 170.

The corporate terminal 110 indicates an electronic device operated by a company selling products. A company is a general term for a natural person or corporation that sells products, and can prepare for online shopping mall sales using the company terminal 110. The corporate terminal 110 can generate information necessary for entry into and sales management of an online shopping mall based on input from the company and transmit it to an external device through the network 170. According to an embodiment of the present disclosure, the enterprise terminal 110 may include a fixed terminal implemented as a computer device or a mobile terminal. Specifically, the corporate terminal 110 can point to a smart phone, mobile phone, navigation, computer, laptop, digital broadcasting terminal, personal digital assistants (PDA), portable multimedia player (PMP), and tablet PC.

The shopping mall server 130 indicates a server device operated by a shopping mall company that provides online e-commerce services. Shopping mall companies direct companies that intermediary between sellers and buyers so that product transactions can take place online. A shopping mall company may operate a shopping mall server 130 that stores information to support e-commerce services in the database 140, and the shopping mall server 130 communicates through the network 170 to provide commands, codes, files, It may be implemented as a computer device or a plurality of computer devices that provide content, services, etc.

When a company wants to sell products through an online shopping mall, the consulting service device 150 instructs a device that provides consulting services to support the company's successful online shopping mall sales. The consulting service device 150 may receive sales information about a number of products from the shopping mall server 130 and perform consulting through comparative analysis of the company's products from the sales information. According to an embodiment of the present disclosure, the consulting service device 150 may include a fixed terminal implemented as a computer device or a mobile terminal.

As shown in FIG. 1, components of the consulting service providing system 100 may be connected through a network 170. According to an embodiment of the present disclosure, the network 170 refers to a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers. Examples of such networks include RF, 3GPP (3rd generation partnership project) network, LTE (long term evolution) network, 5GPP (5th generation partnership project) network, WIMAX (world interoperability for microwave access) network, Internet, LAN (local area network), Wireless LAN (wireless local area) network), WAN (wide area network), PAN (personal area network), Bluetooth network, NFC network, satellite broadcasting network, analog broadcasting network, DMB (digital multimedia broadcasting) network, etc., but are not limited thereto. .

According to the consulting service providing system 100, the consulting service device 150 receives company information and product information from the company terminal 110, and compares products expected to compete with the company's corresponding product from the shopping mall server 130. You can receive sales information about them. Afterwards, the consulting service device 150 can use the received information to calculate the recommended sales time and recommended sales price for the product, and determine the tag information and content structure for the buyer to search for the product. By providing this to companies, consulting services can be provided. Below, the specific configuration and operation of the consulting service device 150 will be described in detail.

FIG. 2 illustrates a configuration 200 of the consulting service device 150 in the consulting service providing system 100 according to various embodiments of the present disclosure.

Terms such as '... unit' and '... unit' used hereinafter refer to a unit that processes at least one function or operation, which can be implemented through hardware, software, or a combination of hardware and software. there is. The consulting service device 150 may include a memory 210, a processor 220, a communication unit 230, an input/output interface 240, and a display unit 250.

The memory 210 temporarily or permanently stores data such as basic programs, applications, and setting information for the operation of the consulting service device 150. The memory 210 may include a non-permanent mass storage device such as random access memory (RAM), read only memory (ROM), and a disk drive, but the present invention is not limited thereto. These software components may be loaded from a computer-readable recording medium separate from the memory 210 using a drive mechanism. Such separate computer-readable recording media may include computer-readable recording media such as floppy drives, disks, tapes, DVD/CD-ROM drives, and memory cards. Depending on the embodiment, software components may be loaded into the memory 210 through the communication unit 230 rather than a computer-readable recording medium. Additionally, the memory 210 may provide stored data upon request from the processor 220. According to an embodiment of the present disclosure, the memory 210 may store company information, product information, and comparison information about comparative products.

The processor 220 controls overall operations of the consulting service device 150. For example, the processor 220 may control signals to be transmitted and received through the communication unit 230. Additionally, the processor 220 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Commands may be provided to the processor 220 by the memory 210 or the communication unit 230. For example, processor 220 may be configured to execute received instructions according to program code stored in a recording device such as memory 210. For example, the processor 220 may control the consulting service device 150 to perform operations according to various embodiments described later.

According to an embodiment of the present disclosure, the processor 220 receives company information about the company and product information about products sold by the company from the corporate terminal, and selects a product from among a plurality of products sold through an online shopping mall. Select a plurality of comparison products related to information, receive comparative content applied to the sales page of the plurality of comparison products, and comparative information about the transaction details of the plurality of comparison products from the shopping mall server, and receive comparison information about the transaction history of the plurality of comparison products. Using transaction history, we create sales condition information about the sales price and sales period of the product, and use product information, company information, and comparison information to create listing information used to advertise products through online shopping malls. , It can be controlled to transmit consulting information including listing information and sales condition information to the enterprise terminal.

The communication unit 230 performs functions for transmitting and receiving signals through a wireless channel. All or part of the communication unit 230 may be referred to as a transmitting unit, a receiving unit, or a transmitting/receiving unit. The communication unit 230 may provide a function for the consulting service device 150 and at least one other node to communicate with each other through a communication network. According to an embodiment of the present disclosure, when the processor 220 of the consulting service device 150 generates a request signal according to a program code stored in a recording device such as the memory 210, the request signal is transmitted to the communication unit 230. Depending on the control, it may be transmitted to at least one other node through a communication network. Conversely, control signals, commands, content, files, etc. provided according to the control of the processor of at least one other node may be received by the consulting service device 150 through the communication unit 230. According to an embodiment of the present disclosure, the communication unit 230 receives company information, sales information, and comparison information from the enterprise terminal 110, and receives comparison information related to the sale of a plurality of comparison products from the shopping mall server 130. can do.

The input/output interface 240 may be a means for interfacing with an input/output device (not shown). At this time, the input device may be, for example, a device such as a keyboard or mouse, and the output device may be provided in the form of a device such as a display unit for displaying images. As another example, the input/output interface 240 may be a means for interfacing with a device that integrates input and output functions, such as a touch screen. Specifically, the processor 220 of the consulting service device 150 processes the commands of the computer program loaded in the memory 210, and provides a service screen or content constructed using data provided by the server through the input/output interface 240. It can be displayed on the display through . According to an embodiment of the present disclosure, the input/output interface 240 may include means for interfacing with the display unit 250. The input/output interface 240 may receive a user input for a web browsing window displayed on the display unit 250, and output data to be output through the display unit 250 in response to the above-described user input from the processor 220. It can be delivered. According to an embodiment of the present disclosure, the input/output interface 240 may receive a control signal to control the generation of consulting information.

The display unit 250 indicates a display module including one or more displays. Each of the one or more displays included in the display unit 250 may individually display independent content, and the one or more displays described above may be combined to display a single content. According to an embodiment of the present disclosure, one or more displays included in the display unit 250 may include multiple physically separated displays, or may be multiple physically combined displays, and one screen may be divided and used. It may be a display that can be used. According to an embodiment of the present disclosure, the display unit 250 may display the creation status of consulting information on the display.

The consulting service device 150 expands the scope of products that the company wants to sell, extracts comparative products, and conducts sales analysis on the comparative products. Here, the consulting service device 150 can collect data about the content of comparative products displayed on the sales page in the online shopping mall and the transaction history of the comparative products from the shopping mall server, and use the collected information to compare the company's products. You can establish the necessary sales strategy to gain a competitive advantage over other products. Additionally, the consulting service device 150 may generate tag recommendations for searching for a company's product within a shopping mall and consulting information on a listing strategy that instructs the composition of content to be displayed on the product's sales page.

FIG. 3 illustrates an example 300 of a sales page with contents listed in the consulting service providing system 100 according to various embodiments of the present disclosure.

The sales page of an online shopping mall is configured and arranged with at least one content to display a description of the product. Listing refers to the overall process of setting tags for product search and setting the contents and arrangement of contents that make up a sales page, and listing information can indicate configuration information needed when listing a product. The consulting service device 150 generates listing information to rebuild keywords for a company's tag search, configure content for search engine optimization, suggest images to improve purchase conversion rate, configure content for product description, and promote the company. Consulting to increase sales can be performed, including storytelling and comparative analysis of competitors.

Figure 3 illustrates a case where a plurality of contents are listed to form a product sales page. Referring to Figure 3, the sales page includes a first area 301 where the name or summary of the product is written, a second area 302 where product images are written, a third area 303 where product options are written, and a product description. It may include a fourth area 304 where events are written, a fifth area 305 and a sixth area 306 where events are written, and a seventh area 307 where detailed product descriptions are written.

Figure 3 only shows an example of a case where the contents of a sales page are listed, and the composition and arrangement of the contents may be determined differently. That is, the consulting service device 150 can generate sales content and tag information to be displayed on the product sales page, and the sales page for the product can be configured differently depending on the listing information.

The consulting service device 150 may generate sales condition information and listing information using information received from the enterprise terminal 110 and information received from the shopping mall server 130. Thereafter, the consulting service device 150 may generate consulting information for providing consulting services by combining sales condition information and listing information. Below, the specific creation process of consulting information is described.

FIG. 4 illustrates a schematic diagram 400 of a process for generating consulting information 406 in the consulting service providing system 100 according to various embodiments of the present disclosure.

The consulting service device 150 generates listing information from product information 401 and company information 402, and generates sales condition information 404 using comparison information 403. Thereafter, the consulting service device 150 may generate consulting information 406 by combining the sales condition information 404 and the listing information 405, and transmit the generated consulting information to the enterprise terminal 110.

Specifically, the consulting service device 150 receives product information 401 about products sold by the company and company information 402 about the company from the company terminal 110. Here, corporate information is information related to the characteristics of the company and may include the company's name, sales volume, number of employees, location, consulting goals, and company introduction for storytelling. Additionally, product information 401 may include product type, color, specifications, producer, and production location. In order to receive consulting services, a company can input information related to the characteristics of the company and product into the company terminal 110, and the consulting service device 150 can obtain this from the company terminal 110.

In response to receiving the product information 401, the consulting service device 150 selects a plurality of comparison products related to the product information 401 from among a plurality of products sold through an online shopping mall. The consulting service device 150 can extract comparative products to check how competitive the company's products are compared to other companies' products. That is, the consulting service device 150 can expand the scope of the product according to the product information 401 and extract comparative products that are expected to compete with the product.

A plurality of comparative products may indicate popular products whose sales volume is above a certain amount or which are frequently exposed within the shopping mall page. Here, the page may indicate all pages provided by the online shopping mall, such as a product search page, event page, and homepage.

According to an embodiment of the present disclosure, the consulting service device 150 may generate extended product information by changing any one of the elements included in product information. Thereafter, the consulting service device 150 extracts at least one of the products related to the product information 401 from among the products sold in the shopping mall to determine a first comparison product group, and at least one of the products related to the extended product information is extracted to determine the second comparison product group, and a plurality of comparison products can be selected using the first comparison product group and the first comparison product group. For example, for products sold in an online shopping mall, the consulting service device 150 selects a preset number of products in order of highest sales volume among the same products with the same type, color, specifications, producer, and production location. By extracting, the first comparison product group can be determined. In addition, the consulting service device 150 provides a preset number of products in order of highest sales volume among expanded products in which any one of the type, color, specifications, producer, and production location of the product is different for products sold in an online shopping mall. By extracting these, a second comparison product group can be determined.

When a buyer wants to purchase a product, he or she decides whether to purchase it by considering not only the same product but also extended products, such as a different color or slightly different performance. For example, if a buyer wants to purchase a white smartphone with a capacity of 128GB, the buyer may consider a smartphone with a capacity of 256GB or a black smartphone with a capacity of 128GB. Considering these patterns of buyers, the consulting service device 150 is expected to compete by extracting not only a first comparison product group for the same product, but also a second comparison product group for the expanded product by expanding the range of products. You can select comparable products. These comparative products can be used later to determine sales condition information 404.

After selecting a plurality of comparison products, the consulting service device 150 receives comparison information 403 from the shopping mall server 130. The consulting service device 150 may receive comparison information 403, which is sales data for comparative products, from the shopping mall server 130. Here, the comparison information 403 may include comparison content applied to the sales page of a plurality of comparison products, and transaction details of the plurality of comparison products. According to an embodiment of the present disclosure, the comparison information 403 indicates a set of sales information corresponding to each of a plurality of comparison products, and includes the name, summary, title, image, option information, and event for each of the comparison products. , may include detailed description content, reviews, number of purchase reservations, satisfaction, total sales volume, and distribution of sales volume by period.

The consulting service device 150 uses the comparison information 403 to generate sales condition information 403 for recommending the sales price and sales time of the corresponding product. The consulting service device 150 may suggest a sales price and sales time for a product using transaction details of a plurality of comparative products included in the comparison information 403. Here, the consulting service device 150 may distinguish a first comparison product group for the same product and a second comparison product group for expanded products, and calculate a recommended sales price using the characteristics of each. According to an embodiment of the present disclosure, the consulting service device 150 calculates a recommended sales price for a product based on the sales volume for the first comparison product group and the number of scheduled purchases for the second comparison product group, and The recommended sales timing can be determined using the difference between the sales volume distribution for the first comparison product group and the sales volume distribution for the second comparison product group.

Since the products in the first comparison product group refer to the same product, the market size of the product can be estimated based on the total sales volume of the same products. Additionally, since the products in the second comparison product group indicate expanded products, the sales potential of the corresponding product can be estimated based on the number of purchase reservations for the expanded products. In other words, the more the same product is sold, the larger the market size for that product is, and the greater the number of purchase reservations for an expanded product, the higher the likelihood of sales by encouraging purchases of that product rather than the expanded product. Accordingly, the consulting service device 150 can determine the recommended sales price by determining the basic sales price using the sales volume of the first comparison product group and determining the variable price by checking the number of purchase reservations of the second comparison product group. there is.

For example, the consulting service device 150 determines the basic sales price as the total sales amount of products in the first comparison product group divided by the total sales volume, and determines the basic sales price from a pre-stored table regarding the relationship between the number of purchase reservations and the variable price. The variable price can be determined by extracting the variable amount, and the recommended sales price can be determined by applying the variable price to the basic sales price.

Additionally, the consulting service device 150 generates a difference distribution indicating the difference between the sales volume distribution over time of the first comparison product group and the sales volume distribution over time of the second comparison product group, and recommends a sales timing from the difference distribution. can be decided. Each product has a season in which it is sold a lot depending on its purpose, and the sales probability of the product is high in a section where the sales volume of the same product is high. Additionally, the lower the sales of an expanded product in a section with high sales volume, the higher the likelihood of sales of that product. Accordingly, the consulting service device 150 generates a first sales volume distribution by adding up the sales volume of products by period in the first comparison product group, and creates a second sales volume distribution by summing the sales volume by period of products in the second comparison product group. can be created. Thereafter, the consulting service device 150 specifies a candidate section in the first sales volume distribution where the sales volume is greater than or equal to a preset critical sales volume, extracts a section in the candidate section where the difference between the first distribution volume and the second distribution volume is greater than or equal to the critical difference, and recommends sales. You can decide when. Thereafter, the consulting service device 150 may generate sales condition information 404 including the recommended sales price and recommended sales time.

The consulting service device 150 generates listing information 405 using product information 401, company information 402, comparison information 403, and sales condition information 404. Here, listing information 405 may include information for advertising the product through an online shopping mall. According to an embodiment of the present disclosure, the listing information 405 includes tag information used as a search attraction keyword for the product in the online shopping mall, and the corresponding It may include sales content displayed in the detailed description of the product's sales page.

To this end, the consulting service device 150 may use keywords frequently mentioned in comparative content for a plurality of comparison products included in the comparison information 403. Specifically, the consulting service device 150 extracts keywords by extracting text from comparative content for a plurality of comparative products and selecting keywords commonly mentioned in comparative content at a certain ratio or more compared to all comparative content. You can create a keyword list by doing this. Thereafter, the consulting service device 150 may calculate a keyword vector indicating the importance of each keyword in the keyword list based on the frequency of the keywords. Here, the keyword frequency excludes the frequency used in the meaning of the preamble of all keywords. In order to classify keywords used in the meaning of advertising, the content can be divided by paragraph and the detection frequency of the keyword for each content paragraph can be considered, The keyword vector can be determined as in <Equation 1>.

Referring to < _Equation 1> _{, KD} The number of occurrences of keyword x in the ith paragraph, S _x , indicates the number of paragraphs containing word x.

In other words, the content service device 150 determines that keyword By assigning it, a vector value that is the result of quantifying the importance of the keyword can be calculated. The consulting service device 150 can calculate a vector value using <Equation 1> for each keyword, thereby calculating a keyword vector with vector values corresponding to each keyword as elements.

The consulting service device 150 may use the keyword vector and product information 401 to generate tag information used for searching for products in an online shopping mall. The consulting service device 150 may calculate tag information by extracting keyword vector values in order of their size. That is, the consulting service device 150 extracts keywords of popular comparative products and uses keywords related to the product according to the product information 401 as tag information, thereby attracting buyers to the company's product sales page.

Additionally, the consulting service device 150 may generate sales content including the company's brand story using keyword vectors, company information 402, and comparison information 403. The corporate information 402 includes a corporate introduction for corporate storytelling, and the consulting service device 150 divides keywords into keywords relating to the seller's perspective and keywords relating to the buyer's perspective, each with a high keyword value. You can create content by extracting and adding it to the company introduction. Specifically, since the comparative information 403 includes a description of the product and a purchase review, the consulting service device 150 divides the keywords extracted from the detailed description into keywords related to the seller's position, and keywords extracted from the reviews are used to describe the buyer's position. It can be classified by keywords related to. Accordingly, keywords related to the seller's position may indicate keywords related to the performance of the product, and keywords related to the seller's position may indicate keywords related to satisfaction with the product. Afterwards, the content service device 150 combines text content explaining the product using keywords related to the seller's position and text content explaining product reviews using keywords related to the buyer's position, through storytelling of the corporate information 402. By adding this to your company introduction, you can create sales content that explains product performance and reviews.

The consulting service device 150 can generate listing information 405 including tag information and sales content, and includes listing information 405 and sales condition information 404 in consulting information 406 to provide information to companies. Consulting services can be provided.

FIG. 5 illustrates a flowchart 500 of a method of operating the consulting service providing system 100 according to various embodiments of the present disclosure.

Referring to FIG. 5 , in step 501, the corporate terminal 110 transmits corporate information 402 and product information 401 to the consulting service device 150. The corporate terminal 110 may transmit corporate information 402 explaining the current status of the company and product information 401 regarding the product the company wishes to sell to the consulting service device 150 .

In step 503, the consulting service device 150 selects a plurality of comparison products. The consulting service device 150 can use the product information 401 to select comparative products that are expected to compete with the product the company wants to sell. Here, comparative products may include the same product and expanded products.

In step 505, the consulting service device 150 requests comparison information 403 related to the sale of a plurality of comparative products. The consulting service device 150 may select comparison products and request related sales information from the shopping mall server 130.

In step 507, the shopping mall server 130 transmits comparison information 403 to the consulting service device 150. The shopping mall server 130 may provide comparison information 403 about a plurality of comparison products to the consulting service device 150 in response to a request from the consulting service device 150 .

In step 509, the consulting service device 150 uses the comparison information 403 to generate sales condition information 404. The consulting service device 150 may generate sales condition information 404 regarding the recommended sales time and recommended sales price using the transaction details of comparative products included in the comparison information 403.

In step 511, the consulting service device 150 generates listing information 405 used for advertising through an online shopping mall. The consulting service device 150 may generate listing information 405 related to the configuration of a sales page using product information 401, company information 402, and comparison information 403.

In step 513, the consulting service device 150 generates consulting information 406. The consulting service device 150 may generate consulting information 406 using sales condition information 404 and listing information 405.

In step 515, the consulting service device 150 transmits consulting information 406 to the enterprise terminal 110. The consulting service device 150 may provide consulting services by transmitting consulting information 406 including sales condition information 404 and listing information 405 to the enterprise terminal 110.

FIG. 6 illustrates a flowchart 600 of a method of operating the consulting service device 150 in the consulting service providing system 100 according to various embodiments of the present disclosure.

Referring to FIG. 6, in step 601, the consulting service device 150 receives company information 402 about the company and product information 401 about products sold by the company from the company terminal 110. . According to an embodiment of the present disclosure, product information may include product color, specifications, producer, and production location.

In step 603, the consulting service device 150 selects a plurality of comparison products related to product information 401 from among a plurality of products sold through an online shopping mall.

According to an embodiment of the present disclosure, the consulting service device 150 generates extended product information by changing any one of the elements included in the product information 401, and at least one of the products related to the product information in the shopping mall Determine a first comparison product group by extracting, determine a second comparison product group by extracting at least one of the products related to extended product information in the shopping mall, and use the first comparison product group and the first comparison product group You can select multiple comparison products.

In step 605, the consulting service device 150 receives, from the shopping mall server 130, comparative content applied to the sales page of a plurality of comparison products, and comparative information 403 about the transaction details of the plurality of comparison products. Receive. The consulting service device 150 may receive sales information about comparative products that are competitive products.

In step 607, the consulting service device 150 uses transaction details of a plurality of comparative products to generate sales condition information 404 about the sales price and sales time of the product.

According to an embodiment of the present disclosure, the consulting service device 150 calculates a recommended sales price for a product based on the sales volume for the first comparison product group and the number of scheduled purchases for the second comparison product group, The recommended sales timing can be determined using the difference between the sales volume distribution for the first comparison product group and the sales volume distribution for the second comparison product group.

In step 609, the consulting service device 150 uses the product information 401, company information 402, and comparison information 403 to create listing information 405 used for advertising products through an online shopping mall. creates .

According to an embodiment of the present disclosure, the consulting service device 150 extracts keywords from comparison content, calculates a keyword vector indicating the importance of each keyword based on the frequency of the keywords, keyword vector, and product Using the information, tag information used to search for products in an online shopping mall is created, keyword vectors, company information, and comparison information are used to create sales content that explains product performance and reviews, and tag information , listing information containing sales content can be created.

In step 611, the consulting service device 150 transmits consulting information 406 including listing information 405 and sales condition information 404 to the enterprise terminal 110. The consulting service device 150 may transmit the generated consulting information 406 to the enterprise terminal 110 after including the listing information and sales condition information in the consulting information.

Methods according to embodiments described in the claims or specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software. The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium, and may be implemented as a computer program combined with hardware and stored in a computer-readable recording medium.

When implemented as software, a computer-readable storage medium that stores one or more programs (software modules) may be provided. One or more programs stored in a computer-readable storage medium are configured to be executable by one or more processors in an electronic device (configured for execution). One or more programs include instructions that cause the electronic device to execute methods according to embodiments described in the claims or specification of the present disclosure.

These programs (software modules, software) include random access memory, non-volatile memory including flash memory, read only memory (ROM), and electrically erasable programmable ROM. (electrically erasable programmable read only memory, EEPROM), magnetic disc storage device, compact disc-ROM (CD-ROM), digital versatile discs (DVDs), or other types of disk storage. It can be stored in an optical storage device or magnetic cassette. Alternatively, it may be stored in a memory consisting of a combination of some or all of these. Additionally, multiple configuration memories may be included.

In addition, the program may be distributed through a communication network such as the Internet, an intranet, a local area network (LAN), a wide area network (WAN), or a storage area network (SAN), or a combination thereof. It may be stored on an attachable storage device that is accessible. This storage device can be connected to a device performing an embodiment of the present disclosure through an external port. Additionally, a separate storage device on a communication network may be connected to the device performing an embodiment of the present disclosure.

In the specific embodiments of the present disclosure described above, elements included in the disclosure are expressed in singular or plural numbers depending on the specific embodiment presented. However, singular or plural expressions are selected to suit the presented situation for convenience of explanation, and the present disclosure is not limited to singular or plural components, and even components expressed in plural may be composed of singular or singular. Even expressed components may be composed of plural elements.

Meanwhile, in the detailed description of the present disclosure, specific embodiments have been described, but of course, various modifications are possible without departing from the scope of the present disclosure. Therefore, the scope of the present disclosure should not be limited to the described embodiments, but should be determined not only by the scope of the patent claims described later, but also by the scope of this patent claim and equivalents.

110 Corporate terminal 130 Shopping mall server
140 Database 150 Consulting Service Device
170 Network 210 Memory
220 Processor 230 Communication Department
240 input/output interface 250 display unit
301 to 307 first to seventh regions
401 Product Information 402 Company Information
403 Comparison information 404 Terms of sale information
405 Listing Information 406 Consulting Information

Claims (4)

In the method of operating a consulting service device that provides consulting services to companies selling products through an online shopping mall,
Receiving company information about the company and product information about products sold by the company from a company terminal;
selecting a plurality of comparison products related to the product information from among a plurality of products sold through the online shopping mall;
Receiving, from a shopping mall server, comparative content applied to a sales page of the plurality of comparative products and comparison information about transaction details of the plurality of comparative products;
Using transaction details of the plurality of comparative products, generating sales condition information about the sales price and sales time of the product;
Using the product information, the company information, and comparison information, generating listing information used for advertising the product through the online shopping mall; and
Transmitting consulting information including the listing information and the sales condition information to the enterprise terminal,
The product information includes the color, specifications, producer, and production location of the product,
The step of selecting a plurality of comparison products related to the product information is,
generating expanded product information by changing any one of the elements included in the product information;
extracting at least one of products related to the product information from the shopping mall and determining a first comparison product group;
extracting at least one of products related to the expanded product information from the shopping mall and determining a second comparison product group; and
Comprising the first comparison product group and selecting a plurality of comparison products using the first comparison product group,
The step of generating the listing information is,
extracting keywords from the comparative contents;
For each of the keywords, calculating a keyword vector related to whether it is frequently detected in the comparison contents and whether it is frequently detected in a presuppositional sense without relation to the content of the product;
Using the keyword vector and the product information, generating tag information used to search for the product in the online shopping mall;
generating sales content describing performance and reviews of the product using the keyword vector, the company information, and the comparison information; and
A step of generating listing information including the tag information and the sales content,
The keyword vector is determined based on Equation 1,
(Equation 1)

The KD _{x,i is} the vector value _of the keyword The number of occurrences of keyword x, where S _x indicates the number of paragraphs containing word x.
delete In claim 1,
The step of generating the sales condition information is,
calculating a recommended selling price for the product based on the sales volume for the first comparison product group and the number of planned purchases for the second comparison product group; and
A method comprising determining a recommended sales time using the difference between the sales volume distribution for the first comparison product group and the sales volume distribution for the second comparison product group.


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