KR20220037683A - Platform system for matching global fashion demand and supply - Google Patents

Abstract

The present invention relates to a platform system for matching global fashion supply and demand. According to the present invention, provided is a platform system for matching global fashion supply and demand. The system comprises: an input unit for receiving an image reflecting a user's needs from a user terminal; a recommendation unit for extracting, from a fabric DB, at least one fabric image matching the input image and providing the same as a recommended fabric list on the user terminal; an information providing unit for displaying and providing detailed fabric information in response to a fabric image viewed by the user from the recommended fabric list; and a control unit for, when a fabric image for an order is selected by the user from the recommended fabric list, generating fabric production order information corresponding to the selected fabric image and transmitting the generated information to a company terminal of a manufacturer. According to the present invention, a global fashion consumer and a product supplier can be matched and connected on the basis of an online platform. Accordingly, the present invention is capable of: systematically connecting fashion consumers and supplies on the basis of contactless on an online platform; greatly reducing the time and costs required for the examination and selection of target products; and allowing an order for production to be placed easily online.

Description

Global fashion demand and supply matching platform system {Platform system for matching global fashion demand and supply}

The present invention relates to a global fashion demand and supply matching platform system, and more particularly, to a global fashion demand and supply matching platform system that can match and connect between global fashion consumers and product suppliers based on an online platform.

In the conventional case, when the consumer wants to purchase the fabric, the request must be communicated by e-mail through a separate agency or an intermediate company contracted with an overseas brand, or a meeting has to be conducted through a direct visit to the manufacturer.

In the case of this conventional method, there is a problem in that the overall cost and time consumption are large, and in the case of a product not connected to an actual order, there is a problem that it is discarded or left as a stock in a warehouse and occupies space.

In addition, the dependence on internet platforms is increasing across industries due to the recent corona virus. Therefore, in line with the untact era, there is a need for a new service platform that can select and provide only items that meet the needs of buyers on an online platform and can increase accessibility.

The technology that is the background of the present invention is disclosed in Korean Patent Application Laid-Open No. 10-2017-0116289 (published on October 19, 2017).

An object of the present invention is to provide a global fashion demand and supply matching platform system that can match and connect between global fashion consumers and product suppliers based on an online platform.

The present invention includes an input unit that receives an image reflecting user needs from a user terminal, and a recommendation unit that extracts at least one far-end image matching the input image from a far-end DB and provides it as a recommended far-end list on the user terminal; , an information providing unit that displays and provides detailed fabric information in response to a fabric image searched by a user from the recommended fabric list, and a selected fabric image when a fabric image to be ordered is selected by the user from the recommended fabric list It provides a global fashion supply and demand matching platform system including a control unit for generating fabric production order information corresponding to the manufacturer and transmitting it to the manufacturer's terminal.

In addition, the recommendation unit may learn feature information included in a plurality of far-end images stored in the far-end DB based on artificial intelligence to recommend and provide at least one far-end image matching the input image.

In addition, the characteristic information may include at least one of a color, a pattern, and a pattern shape in the fabric image.

In addition, the image to which the user needs are reflected may include at least one of an image stored in the storage of the user terminal and an image currently captured by the user terminal.

In addition, the global fashion demand and supply matching system may further include a storage unit for constructing the fabric DB based on the fabric image and the fabric detailed information for each fabric registered from a plurality of company terminals.

In addition, the detailed fabric information may include at least one of the fabric material, material content, texture, weight, price, color, pattern, washing type, stretch or not, fabric identification number, manufacturer, and country of manufacture.

In addition, the input unit further receives at least one keyword related to an item in the far-end detailed information from the user terminal, and the recommendation unit filters only a list matching the input keyword among the recommended far-end list for secondary processing One recommended fabric list may be additionally presented to the user terminal.

According to the present invention, it is possible to match and connect a global fashion consumer and a product supplier based on an online platform. Accordingly, the present invention has the advantage of being able to systematically connect fashion consumers and suppliers based on untact on an online platform, greatly reducing the time and cost required for review and selection of target products, and enabling convenient production orders online.

The present invention not only enables a quick search for fabrics that meet the needs of the consumer and a convenient production order, but also provides a customized recommendation to the user with a fabric list matching the user's needs through AI-based big data learning can do.

1 is a diagram showing the configuration of a global fashion supply and demand matching platform system according to an embodiment of the present invention.
FIG. 2 is a view showing a detailed configuration of the platform server shown in FIG. 1 .
3 is a view exemplarily explaining the detailed information of the far end provided in the embodiment of the present invention.

Then, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art can easily carry out the present invention. However, the present invention may be implemented in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . Also, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

1 is a diagram showing the configuration of a global fashion supply and demand matching platform system according to an embodiment of the present invention As shown in FIG. 1 , the global fashion supply and demand matching platform system according to an embodiment of the present invention is fashion supply and demand matching. It includes a platform server 100 , a user terminal 200 , and a company terminal 300 .

The global fashion demand and supply matching platform server 100 (hereinafter, platform server) connects a plurality of user terminals 200 and a plurality of company terminals 300 and a wired network, a wireless network, or a network combined with a wire and wireless, respectively. They can be connected to each other to communicate with each other and send and receive data.

The platform server 100 may register, store, and manage user information and needs information from each network-connected user terminal 200 , respectively. In addition, the platform server 100 provides the network-connected user terminal 200 with a service platform implemented as a mobile app (Application) or web (Web) in which registration and inquiry of various information, membership registration, etc. are made. can

The service platform may be an application program driven in a mobile app or web environment, and the application program may be operated or provided by the platform server 100 . Embodiments of the present invention mainly illustrate mobile apps.

Of course, the platform server 100 can register, store, and manage company information and serviceable far-end information from each network-connected company terminal 300, and an online service platform composed of a unique format and menu suitable for each user and company. can be provided individually.

The user terminal 200 and the company terminal 300 are devices capable of exchanging information by connecting to a wired or wireless network, such as a PC, a desktop, a smart phone, a tablet, and a notebook, respectively. may include Embodiments of the present invention mainly illustrate a wireless network.

Each of the user terminal 200 and the company terminal 300 is connected to the platform server 100 through the user's app and the company's app installed in the terminal to transmit, receive, and express various data, and the platform server 100 on the app ) can be provided with related services provided by

Here, the user terminal 200 corresponds to a consumer-side terminal such as a designer who orders and purchases a fabric, and the company terminal 300 corresponds to a supplier-side terminal such as a manufacturer that processes and manufactures the fabric. At this time, consumers and suppliers do not distinguish between domestic and foreign countries. An embodiment of the present invention provides an online platform that can match and connect a global fashion consumer and a product supplier in consideration of the consumer's needs.

In an embodiment of the present invention, the platform server 100 selects a fabric image that meets the user's needs from the DB and provides a recommendation, and enables the production order of the fabric to the manufacturer corresponding to the fabric image selected by the user from among them. Based on untact online, it enables one-stop operation from creating a list of fabrics suitable for user needs, providing detailed fabric information, and ordering and purchasing products.

FIG. 2 is a view showing a detailed configuration of the platform server shown in FIG. 1 .

As shown in FIG. 2 , the global fashion demand and supply matching platform server 100 according to an embodiment of the present invention includes an input unit 110 , a recommendation unit 120 , a providing unit 130 , a control unit 140 , and a storage unit. (150). Here, the operation and data flow of the respective units 110 , 120 , 130 , and 150 may be controlled by the controller 140 .

First, the user terminal 200 may access a platform operation site according to an embodiment of the present invention and receive related services. For example, the user terminal 200 may be network-connected to the platform server 100 through executing a mobile app to transmit/receive information.

The input unit 110 receives the user's needs data from the network-connected user terminal 200 . Specifically, the input unit 110 receives an image reflecting the user's needs from the user terminal.

Here, the image reflecting the user's needs includes not only images stored in the internal storage of the user terminal 200 (eg, image gallery of the smartphone), but also images obtained by shooting on the fly through the current user terminal 200 can do.

In this case, the image stored in the storage of the user terminal 200 may include an image captured or stored through a medium such as the Internet, as well as an image personally owned.

And, in the case of an image taken on the spot through the user terminal 200, for example, a natural capture image of flowers, sea, forest, etc., and various articles containing a pattern, color, picture, or pattern that the user is interested in or prefers. (eg, clothes, bags, picture frames, interior products, automobiles, fashion items, etc.)

Here, of course, the input unit 110 may support an editing function for an image loaded from the memory of the user terminal 200 or a currently captured (photographed) image. Through image editing, it may be possible to cut out, focus, enlarge, and reduce a specific part of an image. In this way, an image reflecting user needs is registered.

The recommendation unit 120 extracts at least one far-end image matching the image registered through the input unit 110 from the far-end DB and provides it as a recommended far-end list on the user terminal 200 .

Here, the fabric DB holds fabric information provided by a plurality of registered fabric manufacturers. The far-end information includes a far-end image for each far-end registered from the plurality of company terminals 300 and detailed information on the far-end.

At this time, the registered company is a manufacturer whose registration and qualification approval from the server 100 have been completed, and the company accesses the online platform provided by the server 100 through the company terminal 300 to input company information, sign up and qualify. You can proceed with authentication and registration of fabric information that is a target of revenue generation. Through this, it is possible to receive fabric information such as various materials and concepts from a plurality of manufacturers and secure fabric-related big data.

The storage unit 150 may build the far-end DB based on the far-end information registered from the terminal 300 of the plurality of companies as described above, and the recommendation unit 120 may include an image input by the user from among the far-end images held in the far-end DB. It is possible to extract and provide a fabric image having characteristics matching with .

Here, the recommendation unit 120 learns feature information included in a plurality of far-end images stored in the far-end DB based on artificial intelligence, and recommends and provides at least one far-end image matching the image input by the user. In this case, the characteristic information may include at least one of a color, a pattern, and a pattern shape in the fabric image.

Accordingly, the recommendation unit 120 can extract the characteristic information of the input image and quickly derive far-end images analyzed as having high similarity to the far-end DB from the far-end DB.

As such, the recommendation unit 120 may recommend and provide at least one far-end image matching the image currently input by the user. That is, it is possible to extract a fabric image of a concept that meets user needs through artificial intelligence image scanning.

Here, of course, the recommendation unit 120 may learn a recommendation model (algorithm) through machine learning to recommend a fabric image having characteristics similar to the input image reflecting the user's needs. For example, the recommendation model may be trained to recommend and provide at least one fabric image having a design, material, and color matching the image input from the user terminal 200 .

In this way, the recommendation unit 120 builds big data based on previously registered information for each company, and AI scans at least one fabric image that meets the needs of the currently connected user based on the built big data. It can be extracted through , and provided as a recommended list. Through this, based on untact, a list of fabrics suitable for user needs is quickly derived and provided.

The information providing unit 130 expresses and provides detailed fabric information about the corresponding fabric in response to the fabric image inquired by the user in the recommended fabric list. In this case, the detailed fabric information may include all possible detailed information, such as an attribute, a material, and a manufacturer of the fabric.

3 is a view exemplarily explaining the detailed information of the far end provided in the embodiment of the present invention.

As shown in FIG. 3 , the detailed fabric information may include at least one of the material of the fabric, material content, texture, weight, price, color, pattern, washing type, whether stretch or not, fabric identification number, manufacturer, and country of manufacture.

In the case of FIG. 3, among them, the description including material or pattern information (DESCRIPTION), the supplier corresponding to the manufacturer information (SUPPLIER), the supplier number (SUPPLIER REF#), which is a company identification number, and the fabric number (FABCON) which is a fabric identification number REF#), the season of the fabric (SEASON), the content related to the constituent material of the fabric and the content ratio by material (CONTENTS), the width of the fabric (WIDTH), the weight (WEIGHT), the washing finish (FINISH), and the price (PRICE) contains

Of course, detailed information of the fabric provided in the embodiment of the present invention is not limited to that shown in FIG. 3 . In addition, it is possible to provide information in various forms including at least one of tables, images, texts, and graphs so that the user can intuitively grasp the information, as well as change the configuration combination of detailed items.

When the target fabric image to be ordered is finally selected by the user from the recommended fabric list provided to the user terminal 200, the controller 140 generates fabric production order information corresponding to the selected fabric image and transmits it to the manufacturer's terminal. do.

In this case, at least one fabric image may be selected from the list of recommended fabrics by the user, and production order information for the corresponding fabric may be generated. In this case, when there are a plurality of selected far-end images and the far-end companies are different from each other, related order information may be generated and transmitted for each company.

In addition, the final selection of the fabric image may include actions such as product selection, order information input, delivery address, and payment information input. Accordingly, in the case of fabric production order information, the unit quantity, area, requesting customer information, delivery address information, payment information, etc. of the corresponding fabric may be further included.

Meanwhile, in the embodiment of the present invention, the input unit 110 may further receive at least one keyword related to an item in the far-end detailed information from the user terminal 200 .

For example, at least one of a preferred manufacturer, pattern, material, material content, and texture may be input from the user terminal 200 . In this case, keywords may be directly input from the user terminal 200 as text, various keyword options selectable for each item may be provided, and a desired keyword may be selected through a check box function.

In this case, the recommendation unit 120 filters only the list matching at least one keyword input by the user from among the list of recommended fabrics previously provided by artificial intelligence analysis, and performs secondary processing, and the secondary processed list of recommended fabrics. may be additionally presented to the user terminal 200 . For example, when a specific company name and a stripe pattern are input as keywords, only a fabric list satisfying at least one of a company name and a stripe pattern among the recommended fabric lists may be filtered and provided.

As such, in the case of the present invention, an artificial intelligence-based recommended fabric list is primarily provided through feature analysis of an input image, and, if necessary, a secondary filter function using keywords is supported to narrow and review the list. time can be greatly reduced.

According to the present invention as described above, it is possible to match and connect the global fashion consumers and product suppliers based on the online platform. Accordingly, the present invention has the advantage of being able to systematically connect fashion consumers and suppliers based on untact on an online platform, greatly reducing the time and cost required for review and selection of target products, and enabling convenient production orders online.

The present invention not only enables a quick search for fabrics that meet the needs of the consumer and a convenient production order, but also provides a customized recommendation to the user with a fabric list matching the user's needs through AI-based big data learning can do.

Although the present invention has been described with reference to the embodiment shown in the drawings, which is only exemplary, those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: fashion supply and demand matching platform server
110: input unit 120: recommendation unit
130: providing unit 140: control unit
150: storage unit 200: user terminal
300: company terminal

Claims (7)

an input unit for receiving an image in which user needs are reflected from a user terminal;
a recommendation unit extracting at least one far-end image matching the input image from the far-end DB and providing it as a recommended far-end list on the user terminal;
an information providing unit for displaying and providing detailed fabric information in response to a fabric image searched by a user in the recommended fabric list; and
When a fabric image to be ordered is selected by the user from the recommended fabric list, a global fashion supply and demand matching platform including a control unit that generates fabric production order information corresponding to the selected fabric image and transmits it to the manufacturer's terminal system. The method according to claim 1,
The recommendation is
A global fashion supply and demand matching platform system that learns feature information included in a plurality of fabric images stored in the fabric DB based on artificial intelligence to recommend and provide at least one fabric image matching the input image. 3. The method according to claim 2,
The characteristic information is
A global fashion supply and demand matching platform system including at least one of a color, a pattern, and a pattern shape in the fabric image. The method according to claim 1,
The image reflecting the user needs,
A global fashion supply and demand matching platform system including at least one of an image stored in the storage of the user terminal and an image currently captured and acquired by the user terminal. The method according to claim 1,
The global fashion demand and supply matching platform system further comprising a storage unit for building the fabric DB based on the fabric image and the fabric detailed information for each fabric registered from a plurality of company terminals. 6. The method according to claim 1 or 5,
The fabric details are,
A global fashion supply and demand matching platform system that includes at least one of the fabric material, material content, texture, weight, price, color, pattern, washing type, stretch or not, fabric identification number, manufacturer, and country of manufacture. 7. The method of claim 6,
The input unit,
receiving at least one keyword related to an item in the far-end detailed information from the user terminal;
The recommendation is
A global fashion demand and supply matching platform system that filters only the list matching the input keyword among the recommended fabric list and additionally presents a secondary processed recommended fabric list to the user terminal.

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