KR102632756B1 - Integrated management method for global e-commerce supportting the function of periodically updating product information using product attribute information and buyer activity information of the product and integrated management system for the same - Google Patents

Abstract

A global e-commerce integrated management method and system that supports the function of periodically updating product information using product attribute information and buyer activity information is disclosed. The integrated management method includes receiving product data of a product from a source shopping mall server in a first country; Receiving at least one product registration template from a target shopping mall server in a second station; Creating a standard registration template using the at least one product registration template; Converting the product data according to the standard registration template to generate product information of the product; registering the product by transmitting the product information to the target shopping mall server; and updating the product information at a set update time using product attribute information and buyer activity information of the product.

Description

A global e-commerce integrated management method and system that supports the ability to periodically update product information using product attribute information and buyer activity information ATTRIBUTE INFORMATION AND BUYER ACTIVITY INFORMATION OF THE PRODUCT AND INTEGRATED MANAGEMENT SYSTEM FOR THE SAME}

The examples below are technologies related to integrated management methods and systems for global e-commerce, and more specifically, global e-commerce integration that supports the function of periodically updating product information using product attribute information and buyer activity information. It is about management methods and systems.

In general, e-commerce is a general term for the act of buying or selling products using a computer communication network (Internet). The e-commerce market is where producers, intermediaries, and consumers transact with each other using a digital communication network. It also refers to a virtual market or E-market, which is contrasted with the physical market.

Meanwhile, Marketplace refers to a market, and E-Market Place refers to an online version of an existing traditional market. In other words, taking the case of a traditional market as an example, there is a certain area called a market (e.g. Namdaemun Market, Dongdaemun Market), sellers open stores in that market to sell products, and buyers, who are general consumers, can purchase products. It was made to be so. In comparison, an e-marketplace refers to an online market where various sellers register and sell products on a single site registered online, and a program is organized so that various buyers can purchase the products. In the domestic case, examples include Coupang, WeMakePrice, Auction, Timon, 11th Street, Interpark, and G Market, and in the overseas case, examples include Amazon, eBay, Q10, and Lazada.

Recently, as transactions through e-commerce have become more active around the world, the number of Korean consumers purchasing overseas products directly is increasing because they can purchase overseas products easily and inexpensively over the Internet. This activity is called ‘direct purchase’, which is an abbreviation for ‘overseas direct purchase’ and is a new word that refers to the act of consumption of purchasing directly from overseas through the Internet. In addition, as the Korean Wave, including K-pop and K-Drama, spreads around the world, overseas consumers are also purchasing Korean products directly at domestic online shopping malls. This behavior is called reverse direct purchasing, and the reverse direct purchasing market is expanding as the number of purchases of domestic cosmetics, baby food, etc. from overseas increases due to the influence of the Korean Wave. Meanwhile, not only consumers but also sellers are taking advantage of e-commerce, which has a low barrier to entry, to become sellers in not only domestic but also overseas e-commerce.

This global e-marketplace has lower barriers to entry than the physical market, and the number of products shown and exposed in the online market is much more diverse and competitive than the number of products to be sold in the physical market. Accordingly, sellers are seeking ways to register and expose many products of various compositions (varieties) in order to secure operating profits.

Looking at the current overseas online open market structure, each seller in the overseas open market records product image, price, content, inventory, etc. according to the product registration format (Format) required by the overseas open market seller account management system (Seller Central). Product information is registered in the relevant overseas open markets (e.g., Amazon USA, Amazon Japan, Q11 Singapore, Q11 Japan, 11th Street Malaysia, Elevenia Indonesia, Lazada, eBay USA, etc.). For this purpose, the seller must register each You must visit the open market to register and modify product information one by one. In other words, each seller logs into the seller account management system of each overseas open market where they wish to sell a product and registers the product on the product registration page, or downloads the product registration format and enters the product image and product price according to the regulations of the product registration format. Product information including, etc. has been registered and used in the relevant overseas open market. Afterwards, when a consumer orders a product through the Internet site or app of a specific overseas open market, the open market that received the product order from the consumer delivers the order form/invoice to the seller. At this time, the order form/invoice delivery method may be text, e-mail, etc. Afterwards, the seller requests a delivery company (e.g., EMS, overseas courier company, USPS, DHL, etc.) to deliver the product, and the delivery company (courier company) receives the product and delivers it to the customer.

In other words, the current reality is that when sellers register products they wish to sell by entering overseas open markets, they must individually match the product registration format required by each overseas open market with different requirements.

For example, if company A wants to sell cell phone cases to general, unspecified customers by participating in multiple overseas open markets, company A must fill out different product registration formats required by each overseas open market. You have to accept the inefficiency of having to input and record product information such as cell phone case images, prices, features, and inventory individually.

In this way, corporations, sole proprietorships, and individuals who want to run an online shopping mall business must enter product information (image, price, features, etc.) they wish to sell one by one into each overseas open market where they wish to sell. The product registration format is also different, causing inconvenience. Even so, all problems do not end once product registration is completed in all overseas open markets. If there is a change in product information (inventory change, price change, etc.), you have to visit multiple overseas open markets one by one to make changes.

Problems like these reduce the opportunities for exports through online overseas open markets for many domestic companies seeking to advance overseas, and furthermore, act as a cause of a decrease in export volume nationally, and from the perspective of companies that have already entered the market, it is difficult to register and modify products, etc. There is a problem in that it takes a lot of man-hours, which leads to inefficient use of manpower and a decrease in sales in business operations.

The matters described in this background art section are written to improve understanding of the background of the invention, and may include matters that are not prior art already known to those skilled in the art in the field to which this technology belongs.

The following embodiments were designed to solve the above-mentioned problems, and product data received from the source shopping mall server is converted according to the product registration template received from the target shopping mall server to generate product information, and the generated product information is sent to the target shopping mall server. The purpose is to provide a product information registration solution that registers on a server and updates product information at a period determined according to product attribute information and buyer activity information.

In addition, in one embodiment of the present invention, by operating to manage product information based on such NFT, it provides a means to prevent theft or unauthorized copying of product information and at the same time provides ownership to other sellers who need their own unique product information. Provides a means of transferring or permitting use for a certain period of time.

In addition, in one embodiment of the present invention, NFT-based product information is confirmed in advance based on this metaverse and a decision is made on whether to purchase ownership or allow use, so that anyone can easily verify and check product information in advance from the buyer's perspective. The purpose is to provide the means.

The problems to be solved by one embodiment are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

One embodiment for achieving the above object is an integrated management method for global e-commerce performed in an integrated management server, comprising: receiving product data of a route product from a source shopping mall server in a first country; Receiving at least one product registration template from a target shopping mall server in a second station; Creating a standard registration template using the at least one product registration template; Converting the product data according to the standard registration template to generate product information of the product; registering the product by transmitting the product information to the target shopping mall server; and updating the product information at a set update cycle using product attribute information and buyer activity information of the product, wherein the standard registration template is composed of essential product configuration data and optional product configuration data, and the product information The creation step can provide an integrated management method for global e-commerce that generates the essential product composition data of the product information using a product data estimation model, which is an artificial neural network model.

One embodiment further includes deleting the product data according to whether or not the product can be imported, which is determined using a product customs clearance model that is an artificial neural network model, and the product information generating step includes converting the product information into a language translation model. By inputting, the text of the product information is translated into the language used by the target shopping mall, and the language translation model may be composed of a grammatical language translation model and an informational language translation model.

In the product information updating step of one embodiment, the update cycle may be set to the previous update cycle * (value of the product attribute information / value of the buyer activity information).

One embodiment includes generating the product information as learning data for the product data estimation model using product attribute information of the product and the buyer activity information; And it may include training the product data estimation model using the learning data.

Before generating the product information, generating the product information as learning data for the product data estimation model using product attribute information of the product and the buyer activity information; And it may further include training the product data estimation model using the learning data.

Before or after the step of generating the product information, a registration request containing the seller's address, original product information, and the maximum usage period corresponding to the original product information is received from the user terminal of the seller who wishes to uniquely register his or her product information. receiving; And in response to the received registration request, a unique token identifier corresponding to the original product information is commonly assigned, and a plurality of non-fungible tokens corresponding to the maximum usage period divided by a preset period are assigned. It may further include generating on a blockchain.

After generating the plurality of non-fungible tokens on a blockchain, encrypting and storing the original product information and metadata corresponding to the original product information in an internal or external storage; Generating a hash value accessible to stored metadata; And it may further include matching the generated hash value and the token identification symbol assigned to the generated non-fungible tokens and storing them in the blockchain.

Another aspect of the present invention for achieving the above object provides a non-transitory recording medium on which a program for executing the integrated management method is recorded and can be read by a computer.

Another aspect of the present invention for achieving the above object is to provide a computer program recorded on a non-transitory recording medium to execute the integrated management method in an integrated management server.

Another aspect of the present invention to achieve the above object provides an integrated management server for global e-commerce based on Metaverse and NFT.

The integrated management server includes at least one processor; and a memory storing instructions that instruct the at least one processor to perform at least one operation.

The at least one operation may include receiving product data of a product from a source shopping mall server in a first station; Receiving at least one product registration template from a target shopping mall server in a second station; Creating a standard registration template using the at least one product registration template; Converting the product data according to the standard registration template to generate product information of the product; registering the product by transmitting the product information to the target shopping mall server; and updating the product information at a set update cycle using product attribute information and buyer activity information of the product, wherein the standard registration template is composed of essential product configuration data and optional product configuration data, and the product information In the generation step, the essential product configuration data of the product information is generated using a product data estimation model, which is an artificial neural network model.

Another aspect of the present invention to achieve the above object provides an integrated management system for global e-commerce based on Metaverse and NFT.

The integrated management system includes a source shopping mall server that operates a source shopping mall in a first country; a target shopping mall server that operates the target shopping mall in a second country; A user terminal of a seller who wishes to register a product registered in the source shopping mall in the target shopping mall; and an integrated management server that provides an integrated product management service to the user terminal in conjunction with the source shopping mall server and the target shopping mall server.

The integrated management server includes at least one processor; and a memory storing instructions that instruct the at least one processor to perform at least one operation.

The at least one operation may include receiving product data of a product from a source shopping mall server in a first station; Receiving at least one product registration template from a target shopping mall server in a second station; Creating a standard registration template using the at least one product registration template; Converting the product data according to the standard registration template to generate product information of the product; registering the product by transmitting the product information to the target shopping mall server; and updating the product information at a set update cycle using product attribute information and buyer activity information of the product, wherein the standard registration template is composed of essential product configuration data and optional product configuration data, and the product information In the generation step, the essential product configuration data of the product information is generated using a product data estimation model, which is an artificial neural network model.

According to the embodiments described above, from the perspective of a corporation, individual business owner, or individual wishing to run an online shopping mall business, the inconvenience and hassle of having to individually enter product information to be sold in each of the multiple open markets to be sold. It has the advantage of enabling mass collection and mass registration of products, and real-time price synchronization.

In addition, in one embodiment of the present invention, by operating to manage product information based on such NFT, it provides a means to prevent theft or unauthorized copying of product information and at the same time provides ownership to other sellers who need their own unique product information. A means of transferring or permitting use for a certain period of time may be provided.

In addition, in one embodiment of the present invention, NFT-based product information is confirmed in advance based on this metaverse and a decision is made on whether to purchase ownership or allow use, so that anyone can easily verify and check product information in advance from the buyer's perspective. We can provide the means.

In addition, according to one embodiment, even when there is a change in product information and the product information needs to be updated, multiple open markets are automatically opened according to a certain cycle according to the characteristics of a single product, without the need to manually search and modify multiple open markets. There is an advantage in that it is possible to update product information about the market.

The effects of one embodiment are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description below.

Figure 1 is a configuration diagram of an integrated management system for global e-commerce according to an embodiment.
Figure 2 is a diagram for explaining the operation of an integrated management server according to an embodiment.
Figure 3 is a diagram for explaining the product information registration step according to one embodiment.
Figure 4 is a configuration diagram of an integrated management server according to an embodiment.
Figure 5 is a configuration diagram of a control unit according to an embodiment.
Figure 6 is a diagram for explaining a method of collecting product data according to an embodiment.
Figure 7 is a diagram illustrating product data according to an embodiment.
Figure 8 is a diagram for explaining a product customs clearance model according to an embodiment.
Figure 9 is a diagram for explaining a method of collecting product registration templates according to an embodiment.
Figure 10 is a diagram illustrating a product registration template according to an embodiment.
Figure 11 is a diagram illustrating a standard registration template according to an embodiment.
Figure 12 is a diagram for explaining a product data estimation model according to an embodiment.
Figure 13 is a diagram for explaining a language translation model according to an embodiment.
Figure 14 is a diagram for explaining a method of generating product information according to an embodiment.
Figure 15 is a diagram for explaining an integrated management method for global e-commerce according to an embodiment.
Figure 16 is a flowchart of a method for updating product information according to an embodiment.
Figure 17 is a conceptual diagram illustrating the operation of ensuring the uniqueness of product information using NFT in an integrated management server according to an embodiment.
Figure 18 is a conceptual diagram to explain a method of viewing product information according to an embodiment based on the metaverse.
Figure 19 is a configuration diagram of a user terminal according to an embodiment.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless clearly specifically defined.

Hereinafter, embodiments will be described in detail with reference to the attached drawings.

Figure 1 is a configuration diagram of an integrated management system 10 for global e-commerce according to an embodiment.

Referring to FIG. 1, the integrated management system 10 for global e-commerce according to an embodiment includes an integrated management server 100, a source shopping mall server 200, a target shopping mall server 210, and a user terminal 300. It can be included.

Communication between various entities included in the integrated management system 10 for global e-commerce can be performed through wired/wireless networks. Wired/wireless networks may use standard communication technologies and/or protocols.

The integrated management server 100, source shopping mall server 200, target shopping mall server 210, and user terminal 300 in the integrated management system 10 for global e-commerce are, for example, a computer, UMPC (Ultra Mobile PC) ), workstations, net-books, PDAs (Personal Digital Assistants), portable computers, web tablets, wireless phones, mobile phones, smart phones. It is one of electronic devices such as a phone) and a portable multimedia player (PMP), and may include any electronic device capable of installing and executing an application related to an embodiment. The electronic device can perform overall service operations, such as configuring a service screen, inputting data, transmitting and receiving data, and storing data, under the control of an application.

The source shopping mall server 200 is a server of a source shopping mall operating in a first country, and can transmit product data of products registered and sold in the source shopping mall to the integrated management server 100.

The target shopping mall server 210 is a server of a target shopping mall operating in a second country, and can transmit a product registration template for registering a product in the target shopping mall to the integrated management server 100.

In this specification, the first country is the United States, the source shopping mall is an online shopping mall operating in the United States, and the second country is Korea, and the target shopping mall is an online shopping mall operating in Korea. This is not limited to the present invention. No.

The user terminal 300 is a terminal of a user who wishes to register a product registered and sold in a source shopping mall to a target shopping mall. The user terminal 300 can provide the user with an interface to select a source shopping mall and a target shopping mall, Identification information of the selected source shopping mall and target shopping mall may be transmitted to the integrated management server 100.

The integrated management server 100 may receive product data from the source shopping mall server 200.

The integrated management server 100 may receive a product registration template from the target shopping mall server 210 and create a standard registration template.

The integrated management server 100 may generate product information by converting product data according to the created standard registration template.

The integrated management server 100 may register the generated product information in the target shopping mall server 210.

The integrated management server 100 may update product information at a period determined according to product attribute information and buyer activity information.

FIG. 2 is a diagram for explaining the operation of the integrated management server 100 according to an embodiment. FIG. 2 shows the operation of the integrated management server 100 performing an integrated management method for global e-commerce according to an embodiment. This is a drawing to explain.

Referring to FIG. 2, the integrated management server 100 according to an embodiment collects product data from the source shopping mall server 200, generates product information using the product data, and sends the generated product information to the target shopping mall server. You can register at (210).

The integrated management server 100 may include one or more processors for performing an integrated management method for global e-commerce, and may include memory for storing data regarding the integrated management method for global e-commerce.

A method of operating the integrated management server 100 according to an embodiment may include collecting product data from the source shopping mall server 200.

The source shopping mall of one embodiment is a source shopping mall operated in a first country. The source shopping mall is an online shopping market where various products are registered and sold. The source shopping mall may be, for example, an online open market.

The integrated management server 100 may transmit the first user account information of the source shopping mall to the source shopping mall server 200. The first user account may be a seller account of the source shopping mall, and the integrated management server 100 connects to the source shopping mall server 200 using the first user account to collect data of products registered in the source shopping mall. can be accessed.

Product data in one embodiment is product-related data registered in the source shopping mall. The product data may include at least one product composition data that is product attribute data, and the product composition data includes product URL, product name, product price, product introduction, and product composition data. May include images, etc.

The integrated management server 100 can collect product data from the source shopping mall server 200 through various methods. For example, the integrated management server 100 may collect product data by crawling the Internet pages of the source shopping mall, and receive product data through an API (Application Programming Interface) provided by the source shopping mall server 200. It is possible to receive a batch file (Patch File) provided by the source shopping mall server 200 and extract product data from the batch file.

According to one embodiment, the method of operating the integrated management server 100 may further include generating product information using collected product data of the source shopping mall.

The target shopping mall of one embodiment is a target shopping mall operated in a second country. The target shopping mall is an online shopping market where various products are registered and sold. For example, the target shopping mall may be an online open market.

The integrated management server 100 may create a required registration template using the product registration template received from the target shopping mall server 210 and generate product information by converting product data according to the required registration template.

Since users of the source shopping mall are users of the first country and users of the target shopping mall are users of the second country, the languages used in the source shopping mall and the target shopping mall may be different. In this case, the integrated management server 100 can translate the text of the product data from the language of the first country to the language of the second country using a language translation model. The integrated management server 100 may generate product information using translated product data.

For example, if the first country is the United States and the source shopping mall is operated in English, the text of product data collected from the source shopping mall server 200 may be written in English. Additionally, if the second country is Korea and the target shopping mall is operated in Korean, the text of product information for registration in the target shopping mall server 210 must be written in Korean. In this case, the integrated management server 100 can translate the text of product data from English to Korean using a language translation model, and can generate product information written in Korean using the translated product data.

Product information in one embodiment is product-related data for registering a product in a target shopping mall. The product information may include at least one piece of product composition information that is product attribute data. The product composition information may include product URL, product name, product price, and product composition information. It can include introduction, product images, etc.

According to one embodiment, the operating method of the integrated management server 100 may further include registering the generated product information in the target shopping mall server 210.

The integrated management server 100 may transmit the second user account information of the target shopping mall to the target shopping mall server 210. The second user account may be a seller account of the target shopping mall, and the integrated management server 100 may access the target shopping mall server 210 using the second user account to register products in the target shopping mall. there is.

The integrated management server 100 can register product information on the target shopping mall server 210 through various methods. For example, the integrated management server 100 may transmit product information to the target shopping mall server 210 through an API (Application Programming Interface) provided by the target shopping mall server 210, and store product information in a batch file (Patch File). The product can be registered by converting it to and sending the batch file to the target shopping mall server 210.

Figure 3 is a diagram for explaining the product information registration step according to one embodiment.

Referring to FIG. 3, the integrated management server 100 may transmit product information to a plurality of target shopping mall servers 210.

As described later, product information is created using a required registration template, and the required registration template can be created using a product registration template, which is a data form required for product registration in multiple target shopping mall servers 210. .

Accordingly, since the product information includes all the essential data required for product registration in the multiple target shopping mall servers 210, the integrated management server 100 uses one product information to connect the multiple target shopping mall servers 210. You can register the product in .

Figure 4 is a configuration diagram of the integrated management server 100 according to one embodiment.

Referring to FIG. 4, the integrated management server 100 according to one embodiment includes a communication unit 110, an input unit 120, an output unit 130, a memory 140, a power supply unit 150, and a control unit 160. It can be included.

The configurations shown in FIG. 4 are illustrative diagrams for implementing embodiments of the present invention, and appropriate hardware/software configurations that are obvious to those skilled in the art may be additionally included in the integrated management server 100.

The communication unit 110 can communicate with external devices through various communication methods. For example, the communication unit 110 may communicate with the source shopping mall server 200, the target shopping mall server 210, and the user terminal 300 to transmit and receive various data.

The input unit 120 may receive various inputs from an operator who is a user of the integrated management server 100 and transmit them to the control unit 160. In particular, the input unit 120 may include a touch sensor, a (digital) pen sensor, a pressure sensor, a key, or a microphone. The touch sensor may use at least one of, for example, a capacitive type, a resistive type, an infrared type, or an ultrasonic type. The (digital) pen sensor may be, for example, part of a touch panel or may include a separate recognition sheet. Keys may include, for example, physical buttons, optical keys, or keypads. The microphone is configured to receive the operator's voice and may be installed inside the integrated management server 100, but this is only an example. It is provided outside the integrated management server 100 and can be used with the integrated management server 100. Can be electrically connected.

The output unit 130 can provide various screens.

Memory 140 may store commands or data related to at least one other component of integrated management server 100. In particular, the memory 140 may be implemented as non-volatile memory, volatile memory, flash-memory, hard disk drive (HDD), or solid state drive (SSD). The memory 140 is accessed by the control unit 160, and the control unit 160 can read/write/modify/delete/update data. In the present invention, the term memory refers to memory 140, ROM (not shown), RAM (not shown) in the control unit 160, or a memory card (not shown) mounted on the integrated management server 100 (e.g., micro SD card, memory stick). Additionally, the memory 140 may store programs and data for configuring various screens to be displayed in the display area of the output unit 130.

The power supply unit 150 receives external power and internal power under the control of the control unit 160 and supplies power necessary for the operation of each component.

The control unit 160 is electrically connected to the communication unit 110, input unit 120, output unit 130, memory 140, and power supply unit 150, and controls the overall operation and functions of the integrated management server 100. can do. In particular, the control unit 160 can provide functions described later using various modules stored in the memory 140.

Various operations on the integrated management server 100 described below may be performed under the control of the control unit 160.

Detailed operations of the control unit 160 will be described together with the configuration diagram of the control unit 160 according to an embodiment of FIG. 5.

Figure 5 is a configuration diagram of the control unit 160 according to one embodiment. Figure 6 is a diagram for explaining a method of collecting product data according to an embodiment.

Referring to FIG. 5, the control unit 160 according to one embodiment includes a product data collection unit 161, a product customs clearance model unit 162, a standard registration template creation unit 164, a product information creation unit 164, and a product It may include an information estimation model unit 165, a product information registration unit 166, and a product information update unit 167.

The product data collection unit 161 may collect product data 400 from the source shopping mall server 200.

Referring to FIG. 6 , the product data collection unit 161 may transmit the first user account information of the source shopping mall to the source shopping mall server 200.

In one embodiment, the first user account may be a seller account of the source shopping mall, and the integrated management server 100 may access the source shopping mall server 200 using the first user account.

The product data collection unit 161 may connect to the source shopping mall server 200, access data on products registered in the source shopping mall, and collect product data 400.

The product data collection unit 161 can collect product data from the source shopping mall server 200 through various methods. For example, the integrated management server 100 may collect product data 400 by crawling Internet pages running on the source shopping mall server 200, and may collect product data 400 and provide API (Application API) provided by the source shopping mall server 200. The product data 400 can be received through a programming interface, and the product data 400 can be extracted from the batch file by receiving a batch file provided by the source shopping mall server 200.

Product data 400 in one embodiment is product-related data registered in the source shopping mall.

Figure 7 is a diagram illustrating product data 400 according to one embodiment.

Referring to FIG. 7, product data 400 according to an embodiment may include at least one piece of product composition data that is product attribute data.

The product data 400 shown in the drawing includes a plurality of product configuration data, and the product configuration data includes country, shopping mall name, product sales URL, product name, product image, product price, shipping cost, product description, return fee, and return deadline. , inventory quantity, and sales period.

The product customs clearance model unit 162 can confirm whether the product of the product data 400 can be imported into a second country by inputting the product data 400 into a product customs clearance model composed of an artificial neural network. To this end, the product customs clearance model unit 162 can learn a product customs clearance model.

The product customs clearance model unit 162 can delete product data 400 of products that cannot be imported.

Figure 8 is a diagram for explaining a product customs clearance model 162-1 according to an embodiment.

Referring to FIG. 8, the product customs clearance model unit 162 may include a product customs clearance model learning unit 162-1 and a product customs clearance model 162-2. The product customs clearance model learning unit 162-1 and the product customs clearance model 162-2 are divided according to the functions of the product customs clearance model unit 162. All of the corresponding functions can be performed in the product customs clearance model unit 162. I'd say it's self-explanatory.

An artificial neural network may be used as the product customs clearance model 162-2 in one embodiment. An artificial neural network is a prediction model implemented in software or hardware that imitates the computational ability of a biological system using a large number of artificial neurons (or nodes).

The product customs clearance model 162-2 can be supervised and learned using learning data by the product customs clearance model learning unit 162-1. At this time, supervised learning refers to learning to find an output value according to a given input value by using data with input values and corresponding output values as learning data, and refers to learning that takes place when the correct answer is known. The set of input and output values given to supervised learning is called training data. That is, the above-mentioned product data 400 is an input value, and the product importability information is an output value, and can be used as training data for supervised learning of the product customs clearance model 162-2.

For example, the product customs clearance model learning unit 162-1 converts the product data 400 into a unique first one-hot vector to generate an input value and information on whether the product can be imported. After converting to a unique second one-hot vector to generate an output value, the product customs clearance model (162-2) can be supervised learning using the generated input and output values. Here, the first one-hot vector and the second one-hot vector may be vectors in which one of the component values constituting the vector is '1' and the remaining component values are '0'.

In one example, the product customs clearance model 162-2 receives input values, has an input layer having nodes corresponding to the number of components of the first one-hot vector, and provides a connection strength (or weight) for each output value of the input layer. One or more hidden layers that multiply and output the result by adding a bias; And it may include an output layer that multiplies each output value of the hidden layer by a connection strength (or weight) and outputs the result using an activation function. Here, the activation function may be a LeRU function or a Softmax function, but is not limited thereto. Connection strengths and biases can be continuously updated by supervised learning.

Specifically, the product customs clearance model 162-2 will be supervised so that the output value of the loss function according to the given input value (first one-hot vector) and output value (second one-hot vector) is minimized. You can. For example, the loss function (H(Y, Y')) can be defined as Equation 1 below.

In Equation 1, Ym is the mth component of the second one-hot vector, and Y`m may be the mth component of the output vector output by receiving the first one-hot vector from the product customs clearance model (162-2). there is.

The more training data there is, the more supervised learning can be performed on the product customs clearance model 162-2, thereby increasing the accuracy of the product customs clearance model 162-2.

An artificial neural network may be used in the product customs clearance model 162-2. For example, the product customs clearance model 162-2 may be implemented with Bi-LSTM (Bidirectional LSTM) or Convolutional Neural Network (CNN).

Returning to FIG. 5, the standard registration template creation unit 164 may generate a standard registration template.

The standard registration template in one embodiment is a list of data required to register products in all target shopping malls. The standard registration template may consist of required product configuration data and optional product configuration data. Mandatory product composition data may be product composition data essential for registering a product in the target shopping mall, and optional product composition data may be product composition data that is not essential for registering a product in the target shopping mall.

The standard registration template creation unit 164 may create a standard registration template using a product registration template. To this end, the standard registration template creation unit 164 may collect product registration templates from the target shopping mall server 210.

Figure 9 is a diagram for explaining a method of collecting product registration templates according to an embodiment.

Referring to FIG. 9 , the standard registration template creation unit 164 may transmit the second user account information of the target shopping mall to the target shopping mall server 210.

As described above, the second user account in one embodiment may be a seller account of the target shopping mall, and the standard registration template generator 164 may access the target shopping mall server 210 using the second user account.

The standard registration template generator 164 may connect to the target shopping mall server 200 and receive the product registration template 500 of the target shopping mall.

The product registration template 500 in one embodiment is a list of data required to register a product in one target shopping mall server 210. The product registration template 500 may be composed of required product configuration data and optional product configuration data. Required product composition data is product composition data set to allow products to be registered in the target shopping mall only if the corresponding data is present. For example, it may be product name, product image, and product price, while optional product composition data is set to allow the product to be registered in the target shopping mall even if the corresponding data is not present. This is product configuration data set to enable product registration, and may include product description, return fee, return deadline, sales period, etc.

The standard registration template generator 164 may generate the standard registration template 600 using the product registration template 500.

The standard registration template generator 164 may generate the standard registration template 600 to include all product configuration data included in at least one product registration template 500.

And, if the product composition data of the standard registration template 600 is essential product composition data in at least one product registration template 500, the standard registration template generator 164 generates the corresponding product composition data into the standard registration template 600. ), and if it is optional product configuration data in at least one product registration template (500), the product configuration data can be set as optional product configuration data in the standard registration template (600).

FIG. 10 is a diagram illustrating a product registration template 500 according to an embodiment, and FIG. 11 is a diagram illustrating a standard registration template 600 according to an embodiment.

Figure 10 (a) is a diagram showing the first product registration template 500 of the first target shopping mall. The first product registration template 500 configures the product name, product image, product description, product price, and shipping cost as essential products. As data, the return shipping cost, return deadline, and sales period are set as optional product configuration data.

Figure 10 (b) is a diagram showing the second product registration template 500 of the second target shopping mall. The second product registration template 500 requires product name, product image, product description, product price, shipping cost, and return fee. As product composition data, the return deadline, sales period, and sales quantity are set as optional product composition data.

Figure 10 (c) is a diagram showing the third product registration template 500 of the third target shopping mall. The third product registration template 500 includes product name, product image, product description, product price, shipping cost, and sales period. This is mandatory product configuration data, and return shipping cost, return deadline, and seller contact information are set as optional product configuration data.

The standard registration template generator 164 may generate the standard registration template 600 using the first to third product registration templates 500.

Referring to FIG. 11, the standard registration template generator 164 may generate the standard registration template 600 to include all product composition data included in the first to third product registration templates 500.

In addition, the standard registration template generator 164 converts essential product configuration data (e.g., product name, product image, product description, product price, shipping cost) commonly set in all of the first to third product registration templates 500 into a standard It can be set as the required product composition data of the registration template 600, and the return deadline, sales quantity, and sales contact information, consisting of optional product composition data in at least one product registration template 500, can be set as an optional product in the standard registration template 600. It can be set with configuration data.

The product information generator 164 may generate product information using the product data 400 of the source shopping mall and the standard registration template 600 of the target shopping mall.

The product information generator 164 may generate product information by converting the product data 400 according to the required registration template 600.

That is, the product information generator 164 may input product configuration data of the product data 400 into the required registration template 600 to generate product information.

However, the product data 400 may not include all product configuration data of the required registration template 600. In particular, if there is no product configuration data set as required product configuration data in the required registration template 600 in the product data 400, product information may not be automatically registered in the target shopping mall server 210. . Therefore, it is necessary to maintain automation performance by estimating essential product composition data that does not exist in the product data 400 and generating product information.

The product information estimation model unit 165 inputs first product information that does not include at least one essential product configuration data into a product data estimation model composed of an artificial neural network to generate second product information including all of the essential product configuration data. can be created. To this end, the product information estimation model unit 165 can learn a product data estimation model.

FIG. 12 is a diagram for explaining a product data estimation model 165-2 according to an embodiment.

Referring to FIG. 12, the product information estimation model unit 165 may include a product information estimation model learning unit 165-1 and a product information estimation model 165-2. The product information estimation model learning unit 165-1 and the product information estimation model 165-2 are divided according to the functions of the product information estimation model unit 165, and the corresponding functions are performed in the product information estimation model unit 165. It is self-evident that all of them are possible.

An artificial neural network may be used as the product information estimation model 165-2 in one embodiment. An artificial neural network is a prediction model implemented in software or hardware that imitates the computational ability of a biological system using a large number of artificial neurons (or nodes).

The product information estimation model 165-2 may be supervised by the product information estimation model learning unit 165-1 using training data. The first product information 700-1 is an input value, and the second product information 700-2 is an output value, and can be used as training data for supervised learning of the product information estimation model 165-2.

For example, the product information estimation model learning unit 165-1 generates an input value by converting the first product information 700-1 into a unique first one-hot vector, and a second After converting the product information 700-2 into a unique second one-hot vector to generate an output value, the product information estimation model 165-2 can be supervised using the generated input and output values. Here, the first one-hot vector and the second one-hot vector may be vectors in which one of the component values constituting the vector is '1' and the remaining component values are '0'.

In one example, the product information estimation model 165-2 receives an input value and sets the connection strength (or weight) for each of the input layer and the output value of the input layer having nodes corresponding to the number of components of the first one-hot vector. ) and output by adding a bias; And it may include an output layer that multiplies each output value of the hidden layer by a connection strength (or weight) and outputs the result using an activation function. Here, the activation function may be a LeRU function or a Softmax function, but is not limited thereto. Connection strengths and biases can be continuously updated by supervised learning.

Specifically, the product information estimation model 165-2 uses supervised learning to minimize the output value of the loss function according to the given input value (first one-hot vector) and output value (second one-hot vector). It can be. For example, the loss function (H(Y, Y')) can be defined as Equation 1 described above.

The more training data there is, the more supervised learning can be performed on the product information estimation model 165-2, thereby increasing the accuracy of the product information estimation model 165-2.

An artificial neural network may be used in the product information estimation model 165-2. For example, the product information estimation model 165-2 may be implemented as Bidirectional LSTM (Bi-LSTM) or Convolutional Neural Network (CNN).

And, if the languages used by the source shopping mall in the first country and the target shopping mall in the second country are different, the product information generator 164 uses a language translation model to translate the text of the product information 700 into the language used by the source shopping mall. It can be translated into the language used by the target shopping mall.

The product information generator 164 may input the second product information 700-2 into the language translation model to generate third product information 700-3 in which the product composition data is translated into the language used by the target shopping mall. there is.

For example, if the first country is the United States and the source shopping mall is operated in English, product data collected from the source shopping mall server 200 may be written in English. Additionally, if the second country is Korea and the target shopping mall is operated in Korean, product information to be registered in the target shopping mall server 210 must be written in Korean. In this case, the product information generator 164 can translate the text of the second product information 700-2 from English to Korean using a language translation model, and the third product including the translated product configuration data. Information (700-3) can be generated.

In particular, according to one embodiment, the language translation method may use a language translation model (LTM). A language translation model refers to a probability distribution for at least two consecutive word sequences (word sequence). In other words, it refers to a model that assigns probabilities to translation sequences of words in order to model the phenomenon of language. A language translation model calculates the probability that a translation sequence for a specific word will be used.

Figure 13 is a diagram for explaining a language translation model according to an embodiment.

In applying the language translation model according to one embodiment, two types of language translation models can be used in combination. Of the two types, one is a 'grammatical language translation model' that is learned from highly reliable sources to focus on grammaticality, and the other is a 'grammatical language translation model' to reflect the content in the 'extraction target document'. It is an ‘informative language translation model’.

Since the content of the ‘extraction target document’ itself may be a simple machine translation of the input text, grammatical reliability may not be high. Therefore, in one embodiment, it is proposed to use a ‘grammatical language translation model’ to analyze the grammaticality of a word translation sequence. Here, ‘extraction target document’ may mean second product information (700-2).

To this end, the product information generation unit 164 can extract ngrams (unigram, bigram, etc.) from the ‘extraction target document’ and learn a ‘grammatical language translation model’ based on the extracted content.

The ‘informative language translation model’ is a model that reflects the content within the ‘extraction target document’. This is to calculate the probability of how often a specific word translation sequence is used within the ‘extraction target document’. In other words, the analysis source of the ‘informative language translation model’ will be the ‘extraction target document’.

To this end, the product information generation unit 164 can extract ngrams from the ‘extraction target document’ and learn an ‘informative language translation model’ from this. Simply put, the ‘informative language translation model’ refers to a model learned based on the ‘extraction target document’.

The product information generation unit 164 can perform language translation by considering both the ‘grammatical language translation model’ and the ‘informative language translation model’. If the two types of models are considered together, it will be possible to perform language translation that considers both grammaticality and frequency of occurrence. In one embodiment, it is proposed to utilize 'pointwise KL (kullback) divergence' to utilize the two types of models together. However, using 'pointwise KL (kullback) divergence' is only an example, and the present invention is not limited to this method.

The product information generator 164 may generate product information 700 using the above-described language translation model.

Figure 14 is a diagram for explaining a method of generating product information according to an embodiment.

The product information generator 164 may input the second product information 700-2 into a language translation model and generate third product information 700-3 translated into the language of the second country.

The product information generator 164 may determine the translated third product information 700-3 as product information 700.

The product information registering unit 166 may register the generated product information 700 in the target shopping mall server 210.

Figure 15 is a diagram for explaining an integrated management method for global e-commerce according to an embodiment.

Referring to FIG. 15 , the product information registering unit 166 may transmit the second user account information of the target shopping mall to the target shopping mall server 210. The second user account may be a seller's account of the target shopping mall, and the product information register 166 may access the target shopping mall server 210 using the second user account to register a product in the target shopping mall.

The product information registering unit 166 can register product information 700 in the target shopping mall server 210 through various methods. For example, the product information register 166 may transmit product information 700 to the target shopping mall server 210 through an API (Application Programming Interface) provided by the target shopping mall server 210, and send the product information 700 to the target shopping mall server 210. The product can be registered by converting it into a batch file and sending the patch file to the target shopping mall server 210.

Accordingly, products from the source shopping mall are registered in the target shopping mall, and users of the target shopping mall can purchase products from the source shopping mall.

However, since the prices and inventory of products in the source shopping mall may change, it is necessary to update the changed product information in the target shopping mall.

To this end, the product information update unit 167 may update the product information 700 of the product at a period determined according to product attribute information and buyer activity information.

Figure 16 is a flowchart of a method for updating product information according to an embodiment.

16 shows that the method of updating product information according to an embodiment may include a step of generating product attribute information (S100), a step of receiving buyer activity information (S110), a step of determining an update cycle (S120), and a step of updating product information (S130). there is.

First, in the product attribute information generation step (S100), the product information update unit 167 may generate product attribute information using the product information 700.

Product attribute information in one embodiment may mean the number of product configuration data whose size exceeds a threshold value individually set for each type of product configuration data in the product information 700.

For example, the size of product configuration data may be the number of characters in the product description or the number of product images, and the corresponding threshold may be a preset number of characters or a preset number of images.

The more product composition data that exceeds the threshold, the more product information 700 may mean that the product composition data is more faithful.

Then, in the buyer activity information generation step (S110), the product information update unit 167 may receive buyer activity data for the product from the target shopping mall server 210.

Buyer activity data in one embodiment may be at least one of the number of buyers who purchased the product, the number of clicks, and the number of shares of the product.

The product information update unit 167 may use the buyer activity data to generate the increase/decrease rate of the purchase activity data relative to the first unit of time as the buyer activity information.

Then, in the update cycle determination step (S120), the product information update unit 167 can change the product information update cycle in real time using product attribute information and buyer activity information.

For example, the product information update unit 167 can change the product information update cycle according to Equation 2 below.

In Equation 2, Tb is the currently set update cycle (corresponding to the earliest preset initial value), LH is the increase/decrease rate of purchase activity data relative to the first unit time, and NT is the size of product configuration data. (700) This is the number of product configuration data that exceeds the threshold value set individually for each type of product configuration data, and k is a preset attenuation constant value for the number (NT) of product configuration data.

Then, in the product information update step (S130), the product information update unit 167 may update the product information 700 through the above-described product information 700 creation and registration method according to the changed update cycle.

Accordingly, the update cycle can be changed in real time for each product registered in the target shopping mall, and the product information update unit 167 can update the product information 700 according to the update cycle that changes in real time for each product. there is.

Additionally, using the product attribute information and buyer activity information generated by the product information update unit 167, learning data for the product information estimation model 165-2 described above can be generated.

For example, the learning data of the product information estimation model 165-2 may be product information 700, and the product information estimation model unit 165 may generate product information whose product attribute information and buyer activity information exceed preset standards. (700) can be set as learning data for the product information estimation model (165-2).

Accordingly, the product information estimation model unit 165 can learn the product information estimation model 165-2 using the generated training data.

Figure 17 is a conceptual diagram illustrating the operation of ensuring the uniqueness of product information using NFT in an integrated management server according to an embodiment.

Meanwhile, in recent online shopping malls, product information registered by others has been indiscriminately stolen or copied and used on their product sales pages, causing many disputes.

NFT (Non-Fungible Token, Non-Fungible Token) is a digital token using blockchain technology, and each token is given a unique recognition value and is configured to have values and characteristics that cannot be replaced.

In one embodiment of the present invention, by operating to manage original product information based on such NFT, it provides a means to prevent theft or unauthorized copying of product information, and at the same time provides a means to prevent theft or unauthorized copying of product information to other sellers who need their own original product information. It provides a means of transferring ownership or permitting use for a certain period of time.

Specifically, the integrated management server 100 receives the seller address (here, the seller address may be a unique identification address previously assigned to the seller), the original work, from the user terminal 300 of the seller who wishes to uniquely register his/her product information. A registration request containing product information and a maximum usage authorization period corresponding to the original product information may be received. Here, the original product information may include at least one of a product image and a product description created directly by the seller.

The integrated management server 100, in response to the received registration request, is assigned a unique token identifier corresponding to the original product information, and a plurality of replacements corresponding to the number divided by the maximum usage permission period by a preset period. Impossible tokens can be created on the blockchain. Here, blockchain is transaction information distributed and managed by each node according to the proof-of-work and consensus algorithm of multiple nodes, and since it can be easily understood by a person skilled in the art, detailed explanation will be omitted.

At this time, the integrated management server 100 may set the owner address of the generated non-fungible tokens to the seller address of the user terminal 300 that provided the original product information.

The number of non-fungible tokens created here corresponds to the license period during which other sellers can purchase them. For example, if the preset period is 1 week and the maximum permission period is 16 weeks, 16 non-fungible tokens assigned the same token identifier are created on the blockchain. At this time, if another seller purchases one non-fungible token, he or she may be granted permission to use it for a period corresponding to a preset period. Meanwhile, if another seller purchases all non-fungible tokens to which the same token identifier is assigned, ownership of the original product information corresponding to the token identifier may be granted to the seller who purchased all of the non-fungible tokens. .

That is, in one embodiment of the present invention, non-fungible tokens are created and managed on a blockchain in multiple numbers for the same token identification symbol, and are used as a means of purchasing a usage permit period and also as a means of transferring ownership.

In addition, the integrated management server 100 encrypts and stores original product information and metadata corresponding to the original product information in an internal or external storage, and generates a hash value (Hash) that can access the stored metadata. . For example, metadata may include the location where the original product information is stored, the electronic signature of the seller who provided the original product information, and the seller's address.

The integrated management server 100 may match the generated hash value and the token identification symbol assigned to the generated non-fungible tokens and store them in the blockchain. Therefore, when the integrated management server 100 receives a token identification symbol from the owner of non-fungible tokens, it can obtain a hash value matching the provided token identification symbol through the blockchain, and the hash value obtained here Since the original product information can be obtained by accessing the metadata, the original product information can be safely obtained through blockchain even if the owner of the NFT changes.

The integrated management server 100 provides original product information for which non-fungible tokens are generated in the above manner to the user terminals 300, so that each seller of the user terminals 300 can determine whether to use the original product information. Let it happen. At this time, the original product information may be configured so that each seller of the user terminals 300 can check and experience the original product information based on the metaverse. A detailed explanation will be provided later.

The integrated management server 100 may receive a request for use permission from the user terminal 300 of a seller who wishes to use the original product information among the user terminals 300. At this time, the request for permission to use includes the number of non-fungible tokens corresponding to the original product information desired to be used and a token identification symbol commonly assigned to the non-fungible tokens.

The integrated management server 100 uses the token identifier included in the request for permission to use, identifies owner addresses of non-fungible tokens with the corresponding token identifier, and stores user terminals of sellers corresponding to each of the identified owner addresses. Based on the sales prices provided by 300, sellers who will sell the non-fungible tokens can be determined.

At this time, the integrated management server 100 compares the seller information of each of the determined sellers with the seller information of the seller of the user terminal 300 (which may be referred to as the first seller) that transmitted the request for permission to use, and determines the seller. Determine the competitive sales rate between each of them and the seller of the user terminal that transmitted the usage permit request, and proceed with or cancel the usage permit procedure for the user terminal 300 that transmitted the usage permit request based on the determined competitive sales rate. .

That is, the integrated management server 100 may cancel the usage permit procedure when the determined competitive sales rate exceeds a preset threshold, and transmit a message instructing the first seller to cancel the usage permit, and the competitive sales rate may be set in advance. If it is within the threshold, the use authorization process can continue.

For example, the competitive sales rate may be determined according to Equation 3 below based on the product name, product description, and product image registered in the target shopping mall by each of the first seller and the determined sellers.

In Equation 3, upt is the quantity of products registered in the target shopping mall by the seller (first seller) of the user terminal 300 that transmitted the request for permission to use, and ups is the quantity of products registered in the target shopping mall among the determined sellers to be compared. This is the quantity of the registered product, n is the quantity of the product with the same product name among the products registered in the target shopping mall by the seller being compared to the first seller, and sim(k) is the product description for the kth product with the same product name. is the number of synonyms and similar words, and imgsmr(k) is the similarity of the product image for the kth product with the same product name.

For example, the similarity of product images can be calculated as follows. The integrated management server 100 corrects the size of the product image of the first seller for the k-th product and the product image of the seller being compared to be the same, and differentiates the two corrected product images in pixel units to produce a difference image. can be created. Here, the difference image may be an image composed of pixel values obtained by differentiating the pixel values of two product images targeting the same pixel position. The integrated management server 100 may calculate a summed value by adding up all the pixel values constituting the difference image, and determine the resulting value of multiplying the reciprocal of the calculated summed value by a predefined proportionality constant as the similarity of the product image.

When continuing the use authorization process, the integrated management server 100 determines the cryptocurrency corresponding to the transaction price corresponding to each of the determined sellers in the electronic wallet of the seller of the user terminal 300 that transmitted the request for permission to use the cryptocurrency. It can be transferred to each seller’s electronic wallet.

When payment is completed through this, the integrated management server 100 changes the owner addresses of the non-fungible tokens owned by the determined sellers to the seller address of the seller who wants to use the original product information, and records the change history in the block. By storing them on chain, ownership of the non-fungible tokens is transferred to the seller who purchased them.

In addition, the integrated management server 100 calculates the total quantity of non-fungible tokens assigned the same token identification symbol as the transferred non-fungible tokens, and when the number of transferred non-fungible tokens is less than the calculated total quantity, The usage period corresponding to the number of non-fungible tokens transferred is calculated.

When the calculated usage permission period elapses, the integrated management server 100 refers to the change history previously stored in the blockchain and transfers the owner addresses of the transferred non-fungible tokens to the seller addresses of the sellers who sold the non-fungible tokens. It is automatically restored and the restored history is stored in the blockchain. In other words, when the usage permit period of the seller who purchased a certain number of non-fungible tokens expires, the non-fungible tokens are automatically transferred to the original owner, ensuring temporary use within the usage permit period.

That is, the integrated management server 100 calculates the total quantity of non-fungible tokens assigned the same token identification symbol as the transferred non-fungible tokens, and only when the calculated total quantity is equal to the number of transferred non-fungible tokens. It supports both temporary use and permanent ownership change through non-fungible tokens by carrying out complete ownership transfer of non-fungible tokens and, if not, operating to automatically restore ownership after a certain usage permission period.

Figure 18 is a conceptual diagram to explain a method of viewing product information according to an embodiment based on the metaverse.

The integrated management server 100 according to an embodiment of the present invention places original product information in which non-fungible tokens are generated on a pre-configured virtual metaverse space, and allows the user terminal 300 to access the metaverse space. It can be configured to:

Here, each of the original product information placed in the Metagos space is reorganized to include the product image, product description, and product name that are displayed when the actual buyer purchases, and the seller of the user terminal 300 receives the original product information reconstructed in this way. It is implemented so that you can view each in the metaverse space and decide which original product information you most want to purchase.

At this time, when the seller of the user terminal 300 accesses the metaverse space through the user terminal 300, the integrated management server 100 creates an avatar corresponding to the seller address of the connected seller, and the user Dynamic motion transmitted from the terminal 300 can be reflected.

Specifically, the integrated management server 100 may control the movement of the avatar based on the user's dynamic motion. The integrated management server 100 may control the movement of the avatar based on image data acquired through at least two cameras that photograph the seller of the user terminal 300 and depth data acquired through at least two depth detection sensors. there is. The image data may include RGB information, and the depth data may include a depth map having depth information.

Based on the depth data, the integrated management server 100 may perform stereo registration of images acquired by the at least two cameras (eg, multi-view cameras) and obtain 3D information of the connected seller. The integrated management server 100 may extract feature points about the seller's human skeletal structure over time based on the acquired 3D information about the seller and motion sensing information about the seller's movements. In other words, the integrated management server 100 stores the seller's motion vector obtained through RGB information of image data, the relative distance obtained through depth information, the 3D joint coordinates obtained through skeletal structure information, and the angular velocity according to the skeletal structure. Based on the above, the feature points can be extracted.

The integrated management server 100 may group the extracted feature points into a plurality of clusters according to the seller's human body structure. The integrated management server 100 calculates a motion vector for each of the plurality of clusters, and adds the calculated motion vector to the plurality of clusters. Based on this, the coordinates of the vertices constituting the avatar can be changed, and the movement of the seller's avatar can be controlled based on the changed coordinates of the vertices.

Figure 19 is a configuration diagram of a user terminal 300 according to an embodiment.

Hereinafter, we will look at the components that make up the user terminal 300 shown in FIG. 19 in turn.

The wireless communication unit 310 may include one or more components that perform wireless communication between the user terminal 300 and the wireless communication system or wireless communication between the user terminal 300 and the network in which the user terminal 300 is located. . For example, the wireless communication unit 310 may include a broadcast reception module 311, a mobile communication module 312, a wireless Internet module 313, a short-range communication module 314, and a location information module 315. .

The broadcast reception module 311 receives broadcast signals and/or broadcast-related information from an external broadcast management server through a broadcast channel. Here, broadcast channels may include satellite channels and terrestrial channels. Meanwhile, broadcast-related information can also be provided through a mobile communication network, and in this case, it can be received by the mobile communication module 312.

Additionally, the mobile communication module 312 transmits and receives wireless signals with at least one of a base station, an external terminal, and a server on a mobile communication network. Here, the wireless signal may include various types of data according to voice call signals, video call signals, or text/multimedia message transmission and reception.

The wireless Internet module 313 refers to a module for wireless Internet access and may be built into or external to the user terminal 300.

The short-range communication module 314 refers to a module for short-range communication. As short-range communication technologies, Bluetooth, RFID (Radio Frequency Identification), infrared data association (IrDA), UWB (Ultra Wideband), ZigBee, etc. can be used.

Additionally, the location information module 115 is a module for confirming or obtaining the location of the user terminal 300. An example is a GPS (Global Position System) module. The GPS module receives location information from multiple satellites. Here, the location information may include coordinate information expressed in latitude and longitude.

Meanwhile, the A/V (Audio/Video) input unit 320 is for inputting audio or video signals, and may include a camera 321 and a microphone 322. The camera 321 processes image frames, such as still images or moving images, obtained by an image sensor in video call mode or shooting mode. And, the processed image frame can be displayed on the display unit 351.

The image frame processed by the camera 321 may be stored in the memory 360 or transmitted externally through the wireless communication unit 310. Two or more cameras 321 may be provided depending on the configuration of the user terminal 300.

The microphone 322 receives external sound signals through a microphone in call mode, recording mode, voice recognition mode, etc., and processes them into electrical voice data. Additionally, the processed voice data can be converted into a form that can be transmitted to a mobile communication base station through the mobile communication module 312 and output when in call mode. The microphone 322 may implement various noise removal algorithms to remove noise generated in the process of receiving an external acoustic signal.

The user input unit 330 receives an input action from the user and generates input data for controlling the operation of the user terminal 300.

The sensing unit 340 detects the current state of the user terminal 300, such as the location of the user terminal 300, presence or absence of user contact, orientation of the user terminal 300, acceleration/deceleration of the user terminal 300, etc. Generates a sensing signal to control the operation of the terminal 300.

The interface unit 370 serves as an interface with all external devices connected to the user terminal 300. For example, wired/wireless headset ports, external charger ports, wired/wireless data ports, memory card ports, ports for connecting devices equipped with identification modules, audio I/O (Input/Output) ports, A video I/O (Input/Output) port, an earphone port, etc. may be included.

The output unit 350 is for outputting an audio signal, a video signal, or an alarm signal, and may include a display unit 351, an audio output module 352, an alarm unit 353, etc.

The display unit 351 displays and outputs information processed by the user terminal 300. For example, when the terminal is in call mode, it displays a user interface (UI) or graphic user interface (GUI) related to the call. And, when the user terminal 300 is in a video call mode or a shooting mode, the captured and/or received video, UI, or GUI is displayed.

Meanwhile, as described above, when the display unit 351 and the touch pad form a layered structure to form a touch screen, the display unit 351 can be used as an input device in addition to an output device. The display unit 351 includes a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, and a three-dimensional display ( 3D display). And, depending on the implementation type of the user terminal 300, there may be two or more display units 351. For example, the user terminal 300 may be equipped with an external display unit (not shown) and an internal display unit (not shown) at the same time.

The audio output module 352 outputs audio data received from the wireless communication unit 310 or stored in the memory 360 in call signal reception, call mode or recording mode, voice recognition mode, broadcast reception mode, etc. Additionally, the sound output module 352 outputs sound signals related to functions performed in the user terminal 300 (eg, call signal reception sound, message reception sound, etc.). This sound output module 352 may include a speaker, buzzer, etc.

The alarm unit 353 outputs a signal to notify the occurrence of an event in the user terminal 300. Examples of events that occur in the terminal include receiving a call signal, receiving a message, and inputting a key signal.

The memory 360 may store programs for processing and controlling the control unit 380 and has a function for temporarily storing input/output data (e.g., phone book, messages, still images, videos, etc.). It can also be done.

The memory 360 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory, etc.), and RAM. (RAM, Random Access Memory) SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) magnetic memory, magnetic disk, It may include at least one type of storage medium among optical disks.

The control unit 380 typically controls the overall operation of the terminal. For example, it performs related control and processing for voice calls, data communications, video calls, etc. Additionally, the control unit 380 may be equipped with a multimedia module 181 for multimedia playback. The multimedia module 381 may be implemented within the control unit 380 or may be implemented separately from the control unit 380.

The control unit 380 controls various operations of the terminal to implement the integrated management method for global e-commerce described above.

The power supply unit 290 receives external power and internal power under the control of the control unit 280 and supplies power necessary for the operation of each component.

Meanwhile, at least some or all of the operations of the integrated management server 100 described above may be implemented in the user terminal 300. At this time, an application for communicating with the integrated management server 100 and performing the operations of the integrated management server 100 described above may be pre-installed on the user terminal 300.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

Claims (1)

It is a global e-commerce integrated management method that is performed on an integrated management server and supports the function of periodically updating product information using product attribute information and buyer activity information.
Receiving product data of a product from a source shopping mall server in a first country;
Receiving at least one product registration template from a target shopping mall server in a second station;
Creating a standard registration template using the at least one product registration template;
Converting the product data according to the standard registration template to generate product information of the product;
registering the product by transmitting the product information to the target shopping mall server; and
Comprising: updating the product information at a set update cycle using product attribute information and buyer activity information of the product,
The standard registration template is:
It consists of essential product configuration data and optional product configuration data,
The step of generating the product information is,
Using a product data estimation model, which is an artificial neural network model, to generate the essential product configuration data of the product information,
Before or after the step of generating the product information,
Receiving a registration request including a seller address, original product information, and a maximum usage period corresponding to the original product information from a user terminal of a seller who wishes to uniquely register his/her product information;
In response to the received registration request, a unique token identifier corresponding to the original product information is commonly assigned, and a plurality of non-fungible tokens corresponding to the maximum usage period divided by a preset period are block. Creating on chain;
Encrypting and storing the original product information and metadata corresponding to the original product information in an internal or external storage;
Generating a hash value accessible to stored metadata;
Matching the generated hash value and the token identification symbol assigned to the generated non-fungible tokens and storing them in the blockchain; and
At least owner addresses corresponding to at least some of the non-fungible tokens corresponding to the original product information based on a usage permission request received from the user terminal of the first seller who wants to use the original product information. Including changing from a second seller to the first seller,
Changing owner addresses corresponding to the at least some non-fungible tokens to the first seller includes:
If the total quantity of non-fungible tokens assigned the same token identification as the at least some non-fungible tokens and the quantity of the at least some non-fungible tokens are not the same, correspond to the number of the at least some non-fungible tokens When the usage authorization period expires, automatically restoring owner addresses corresponding to the at least some non-fungible tokens to the at least one second seller,
The step of updating the product information is performed according to an update cycle according to the following equation,

In Equation 2, Tb is the currently set update cycle (corresponding to the earliest preset initial value), LH is the increase/decrease rate of purchase activity data relative to the first unit time, and NT is the size of product configuration data. It is the number of product composition data exceeding the individually set threshold for each type of my product composition data, and k is the product attribute information and buyer activity information of the product, which is a preset attenuation constant value for the number (NT) of product composition data. A global e-commerce integrated management method that supports the function of periodically updating product information.