KR102856312B1 - Textile product collaboration management server and textile product collaboration management method using it - Google Patents

Abstract

The present invention relates to a textile product collaboration management server and a textile product collaboration management method using the same, and more particularly, to a textile product collaboration management server and a textile product collaboration management method using the same, which receives textile product requirement information from a buyer terminal and current order quantity information from a manufacturer terminal, analyzes the information using AI (Artificial Intelligence) to determine whether textile products can be produced, and provides information on manufacturers capable of producing to the buyer terminal to select a manufacturer, thereby matching buyers and manufacturers.

Description

Textile Product Collaboration Management Server and Textile Product Collaboration Management Method Using It

The present invention relates to a textile product collaboration management server and a textile product collaboration management method using the same, and more particularly, to a textile product collaboration management server and a textile product collaboration management method using the same, which receives textile product requirement information from a buyer terminal and current order quantity information from a manufacturer terminal, analyzes the information using AI (Artificial Intelligence) to determine whether textile products can be produced, and provides information on manufacturers capable of producing to the buyer terminal to select a manufacturer, thereby matching buyers and manufacturers.

In general, the textile industry has a horizontal division of labor/collaboration structure between companies, making it difficult to grasp the status of companies in the textile production field. Small and medium-sized brands, fashion companies, and new designers are utilizing textile industry-related converters to source new fabric materials for buyers. In addition, producers who rely on bulk orders are operating production operations centered on small quantities of a variety of products, increasing the need for small-quantity production and short-term delivery.

In the textile industry, if there is a mismatch between buyers and producers, the order volume decreases, problems arise in receiving orders, it is difficult to find new business partners, information on ordering companies changes as sales staff move around, and communication limitations arise between converters and companies.

Therefore, manufacturing companies need a smart collaboration system that can appropriately handle the diverse needs of buyers.

Korean Patent No. 10-0306664 {Title of the invention: Internet-based trade transaction system and method thereof}

Accordingly, the present invention has been made with the above points in mind, and the purpose of the present invention is to provide a textile product collaboration management server and a textile product collaboration management method using the same, which can improve the competitiveness of poor textile companies by enabling smart collaboration between buyers and manufacturers in the textile industry.

In order to achieve the above object, a textile product collaboration management server according to an embodiment of the present invention is characterized by including: a requirement information management unit configured to receive textile product requirement information from a purchaser terminal, transmit the textile product requirement information to manufacturer terminals, and transmit a current textile product order quantity information request signal to the manufacturer terminals; a manufacturer order quantity information receiving unit configured to receive current textile product order quantity information from the manufacturer terminals; a textile product production possibility determination unit configured to analyze the textile product requirement information and the current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile products can be produced by each manufacturer; a production possibility information providing unit configured to select a production possibility manufacturer based on the determined textile product production possibility information by manufacturer, and to provide information on the selected production possibility manufacturer to the purchaser terminal; and a production order information providing unit configured to receive manufacturer selection information from the purchaser terminal and to provide textile product production order information to the selected manufacturer terminal.

In the textile product collaboration management server according to the above embodiment, the textile product requirement information may include a purchase item, a quantity for each purchase item, and a delivery date for each purchase item, and the textile product order quantity information may include an order quantity for each ordered item.

In the textile product collaboration management server according to the above embodiment, the textile product production possibility determination unit may determine whether textile product production is possible for each manufacturing company by inputting the received textile product requirement information and current textile product order quantity information into an artificial neural network machine-learned using a dataset of textile product requirement information, textile product order quantity information, and textile product production possibility information to determine whether textile product production is possible.

In order to achieve the above object, a textile product collaboration management method according to another embodiment of the present invention is characterized by including: a step in which a textile product collaboration management server receives textile product requirement information from a purchaser terminal, transmits the textile product requirement information to manufacturer terminals, and transmits a request signal for current textile product order quantity information to the manufacturer terminals; a step in which the textile product collaboration management server receives current textile product order quantity information from the manufacturer terminals; a step in which the textile product collaboration management server analyzes the textile product requirement information and the current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile products can be produced by each manufacturer; a step in which the textile product collaboration management server selects a manufacturer capable of production based on the determined information on whether textile products can be produced by each manufacturer, and provides information on the selected manufacturer capable of production to the purchaser terminal; and a step in which the textile product collaboration management server receives manufacturer selection information from the purchaser terminal, and provides textile product production order information to the selected manufacturer terminal.

In the textile product collaboration management method according to the other embodiment, the textile product requirement information may include a purchase item, a quantity for each purchase item, and a delivery date for each purchase item, and the textile product order quantity information may include an order quantity for each ordered item.

In the textile product collaboration management method according to the other embodiment, the step of determining whether or not textile product production is possible may include a step of inputting the textile product requirement information and the current textile product order quantity information received by the textile product collaboration management server into an artificial neural network machine-learned by a dataset of textile product requirement information, textile product order quantity information, and textile product production possibility information to determine whether or not textile product production is possible.

According to a textile product collaboration management server according to an embodiment of the present invention and a textile product collaboration management method using the same, the textile product requirement information is received from a purchaser terminal, the textile product requirement information is transmitted to the production company terminals, and a current textile product order quantity information request signal is transmitted to the production company terminals to receive the current textile product order quantity information, the textile product requirement information and the current textile product order quantity information are analyzed by AI (Artificial Intelligence) to determine whether textile products can be produced by each production company, and a production company capable of production is selected based on the determined textile product production possibility information by each production company, and information on the selected production company capable of production is provided to the production company terminal to receive production company selection information, and textile product production order information is provided to the selected production company terminal, thereby enabling smart collaboration between the purchaser and the production company in the textile industry, thereby having the excellent effect of promoting the improvement of the competitiveness of poor textile companies.

FIG. 1 is a block diagram of a textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention.
Figure 2 is a flowchart for explaining a textile product collaboration management method using the textile product collaboration management server of Figure 1.

In describing embodiments of the present invention, if a detailed description of a known technology related to the present invention is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, the terms described below are terms defined in consideration of their functions in the present invention, and this may vary depending on the intention or custom of the user or operator. Therefore, the definitions should be made based on the contents throughout this specification. The terms used in the detailed description are only for the purpose of describing embodiments of the present invention and should never be construed as limiting. Unless clearly used otherwise, the singular form includes the plural form. In this description, expressions such as "comprises" or "having" are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, and should not be construed to exclude the presence or possibility of one or more other features, numbers, steps, operations, elements, parts or combinations thereof other than those described.

In each system depicted in the drawings, elements may in some cases have the same reference number or different reference numbers, indicating that the depicted elements may be different or similar. However, the elements may operate with any or all of the systems shown or described herein, with different implementations. Various elements depicted in the drawings may be the same or different. Which one is referred to as a first element and which one as a second element is arbitrary.

In this specification, the phrase “transmitting,” “delivering,” or “providing” data or a signal from one component to another component includes not only the component directly transmitting the data or signal to another component, but also the component transmitting the data or signal to another component via at least one other component.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

FIG. 1 is a block diagram of a textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention.

A textile product collaboration management system including a textile product collaboration management server according to an embodiment of the present invention is configured such that, as illustrated in FIG. 1, a purchaser terminal (M1) and multiple production company terminals (M2) are connected to the textile product collaboration management server (100) wired or wirelessly, and the communication method is not particularly limited.

The purchaser terminal (M1) is a terminal (e.g., a smartphone, tablet PC, laptop, netbook, etc. can be used) possessed by a purchaser (buyer) who purchases and sells textile products, and stores a textile product collaboration management app downloaded from the textile product collaboration management server (100).

The production company terminal (M2) is a terminal (e.g., a smartphone, tablet PC, laptop, netbook, etc. can be used) possessed by an employee of a company that produces textile products for which production has been requested by a purchaser terminal (M1), and stores a textile product collaboration management app downloaded from the textile product collaboration management server (100).

The textile product collaboration management server (100), as illustrated in FIG. 1, includes a requirements information management unit (110), a manufacturer order quantity information receiving unit (120), a textile product production possibility determination unit (130), a production possibility manufacturer information providing unit (140), and a production order information providing unit (150).

The requirement information management unit (110) receives textile product requirement information (including purchase specifications of textile products such as purchase items, quantity of each purchase item, and delivery date of each purchase item) from a purchaser terminal (M1), transmits the received textile product requirement information to the manufacturer terminals (M2), and also transmits a request signal for information on current textile product order quantity (a signal requesting information including the order quantity of each item of textile products ordered from the relevant manufacturers) to the manufacturer terminals (M2).

The production company order quantity information receiving unit (120) receives current textile product order quantity information from production company terminals (M2).

The textile product production feasibility determination unit (130) uses AI (Artificial Intelligence) to analyze textile product requirement information received from the purchaser terminal (M1) and current textile product order quantity information received from the manufacturer order quantity information reception unit (120) to determine whether textile products can be produced by each manufacturer.

Specifically, the method for determining whether a textile product can be produced by each manufacturer by the textile product production possibility determination unit (130) is explained. The textile product requirement information received from the purchaser terminal (M1) and the current textile product order quantity information received from the manufacturer order quantity information reception unit (120) are input into an artificial neural network machine-learned by a dataset of textile product requirement information, textile product order quantity information, and textile product production possibility information to determine whether a textile product can be produced.

The production feasibility information provider (140) selects a production feasibility manufacturer based on the information on the possibility of production of textile products by each production company determined by the textile product production feasibility decision unit (130), and provides information on the selected production feasibility manufacturer to the purchaser terminal (M1).

Information about the selected potential producers includes the producer's historical information (e.g., company information such as company status, company overview, financial information, and delivery performance) and integrated evaluation score information (score information calculated by weighting delivery history, reliability, and delivery price).

The production order information provision unit (140) receives information on the selection of a final selected manufacturer from the purchaser terminal (M1) and provides textile product production order information to the terminal (M2) of the selected manufacturer.

Hereinafter, a method for managing collaboration in textile products using a collaboration management server for textile products according to an embodiment of the present invention configured as described above will be described.

Fig. 2 is a flowchart for explaining a textile product collaboration management method using the textile product collaboration management server of Fig. 1, where S represents a step.

First, the textile product collaboration management server (100) receives textile product requirement information from a purchaser terminal (M1) (S10), transmits the textile product requirement information to multiple production company terminals (M2), and also transmits a current textile product order quantity information request signal to multiple production company terminals (M2) (S20).

Next, the textile product collaboration management server (100) receives current textile product order quantity information from the production company terminals (M2) (S30).

Next, the textile product collaboration management server (100) analyzes the textile product requirement information and the current textile product order quantity information received from steps (S10) and (S30) using AI (Artificial Intelligence) to determine whether textile products can be produced by each manufacturer (S40).

Next, the textile product collaboration management server (100) selects a manufacturer capable of producing textile products based on the information on whether each manufacturer can produce textile products determined in step (S40) (S50), and provides information on the selected manufacturer capable of producing textile products (including the manufacturer's history information and integrated evaluation score information) to the purchaser terminal (M1) (S60).

Next, the textile product collaboration management server (100) receives manufacturer selection information (meaning information on the manufacturer finally selected by the buyer terminal) from the buyer terminal (M1) (S70) and provides textile product production order information to the selected manufacturer terminal (M2) (S80).

Meanwhile, the above step (S60) is described in detail as follows.

First, the textile product collaboration management server (100) collects information (including history information of the manufacturer, delivery history information, reliability information, and delivery price information) of selected manufacturers from a database (existing in the server itself or separately existing externally) (S61).

Next, the textile product collaboration management server (100) calculates an integrated evaluation score for each manufacturer by assigning weights to the delivery history information, reliability information, and delivery price information collected in step (S61) (S63).

Next, the textile product collaboration management server (100) matches the history information of each manufacturer [information collected in step (S63)] and the integrated evaluation score information [information calculated in step (S63)] for each manufacturer, and provides the matched information to the purchaser terminal (M1) (S65).

According to a textile product collaboration management server and a textile product collaboration management method using the same according to an embodiment of the present invention, textile product requirement information is received from a purchaser terminal, and a request signal for the corresponding textile product requirement information and current textile product order quantity information is transmitted to production company terminals to receive current textile product order quantity information, the textile product requirement information and the current textile product order quantity information are analyzed by AI (Artificial Intelligence) to determine whether textile products can be produced by each production company, and a production company capable of production is selected based on the determined textile product production possibility information by each production company, and information on the selected production company capable of production is provided to the purchaser terminal to receive production company selection information, and textile product production order information is provided to the selected production company terminal, thereby enabling smart collaboration between purchasers and production companies in the textile industry, thereby helping to improve the competitiveness of poor textile companies.

The drawings and specification disclose optimal embodiments, and while specific terminology may be used, it is solely for the purpose of describing embodiments of the present invention and is not intended to limit the meaning or scope of the invention as defined in the claims. Therefore, those skilled in the art will understand that various modifications and equivalent embodiments are possible. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

M1: Buyer Terminal
M2: Manufacturer terminal
100: Textile Product Collaboration Management Server
110: Requirements Information Management Department
120: Production company order quantity information reception unit
130: Department to determine whether textile products can be produced
140: Information on potential manufacturers
150: Production Order Information Provider

Claims (6)

A requirement information management unit (110) configured to receive textile product requirement information from a purchaser terminal (M1), transmit the textile product requirement information to manufacturing terminals (M2), and transmit a request signal for current textile product order quantity information to the manufacturing terminals;
A production company order quantity information receiving unit (120) configured to receive current textile product order quantity information from the above production company terminals;
A textile product production feasibility determination unit (130) configured to input the above textile product requirement information and current textile product order quantity information into an artificial neural network machine-learned by a dataset of textile product requirement information, textile product order quantity information, and textile product production feasibility information to determine whether textile products can be produced by each manufacturing company;
A production-capable manufacturer information providing unit (140) configured to select a production-capable manufacturer based on information on whether the determined production company can produce textile products and to provide information on the selected production-capable manufacturer to the purchaser terminal; and
It includes a production order information providing unit (150) configured to receive manufacturer selection information from the purchaser terminal and provide textile product production order information to the selected manufacturer terminal;
The information on the above-mentioned selected production potential manufacturers includes the history information of the manufacturers and integrated evaluation score information, and the integrated evaluation score information is score information calculated by weighting the delivery history, reliability, and delivery price.
The above textile product requirements information includes the items to be purchased, the quantity of each item to be purchased, and the delivery date of each item to be purchased.
The above textile product order quantity information is a textile product collaboration management server that includes the order quantity for each ordered item.
delete delete A method for managing collaboration of textile products using a collaboration management server of textile products described in Article 1,
A step in which a textile product collaboration management server (100) receives textile product requirement information from a purchaser terminal (M1) and transmits a request signal for the textile product requirement information and current textile product order quantity information to manufacturing company terminals (M2);
A step in which the above textile product collaboration management server receives current textile product order quantity information from the above production company terminals;
A step in which the above textile product collaboration management server analyzes the above textile product requirement information and the current textile product order quantity information using AI (Artificial Intelligence) to determine whether textile products can be produced by each manufacturing company;
A step in which the above textile product collaboration management server selects a manufacturer capable of producing textile products based on the information on whether each manufacturer can produce the determined textile product, and provides information on the selected manufacturer capable of producing the selected textile product to the purchaser terminal; and
A textile product collaboration management method, comprising: a step in which the textile product collaboration management server receives manufacturer selection information from the purchaser terminal and provides textile product production order information to the selected manufacturer terminal.
In paragraph 4,
The above textile product requirements information includes the items to be purchased, the quantity of each item to be purchased, and the delivery date of each item to be purchased.
The above textile product order quantity information is a textile product collaboration management method including the order quantity for each ordered item.
In paragraph 4,
A method for managing collaboration between textile products, wherein the step of determining whether the textile product can be produced comprises a step of inputting the textile product requirement information and the current textile product order quantity information received by the textile product collaboration management server into an artificial neural network machine-learned by a dataset of textile product requirement information, textile product order quantity information, and textile product production possibility information to determine whether the textile product can be produced.