KR102181950B1 - Method for providing big data based insolvency stock transaction service - Google Patents

Abstract

Big data-based unused stock transaction service provision method is provided, the step of uploading unused stock data from at least one seller's terminal, requesting quality verification of unused stock of the uploaded unused stock data to the agency's server for test analysis and approval Collecting data, mapping and storing unused inventory data, test analysis and licensing data, collecting production data including products produced, raw materials and requirements from at least one purchaser terminal, and searching, inquiries, and purchasing , And collecting buyer data including an inquiry log, matching unused stock data and buyer data using a pre-built big data platform, and generating a marketing strategy based on the matched result. .

Description

Big data-based unused stock trading service method {METHOD FOR PROVIDING BIG DATA BASED INSOLVENCY STOCK TRANSACTION SERVICE}

The present invention relates to a method of providing a service for trading unused stocks based on big data, and provides a method of verifying the quality of unused stocks and mediating transactions using big data.

The B2B e-commerce market, which is leading the e-commerce market, has been developing at a rapid pace with the rapid growth of the Internet medium, and under the circumstances, it is possible to maintain mutually cooperative transactions between companies participating in B2B e-commerce and increase the price competitiveness of companies. There was a need for a plan. In the case of parts or products with a short life cycle, when a large amount of inventory is held by a store company in the marketplace, the number of unused inventory increases. Therefore, it is required to develop a plan for resolving unused inventory by sharing inventory between companies.

At this time, a method of performing inventory replacement as a method of resolving unused inventory has been researched and developed in the pharmaceutical field.In this regard, Korean Patent Publication No. 2012-0021603 (published on March 9, 2012), a prior art, provides By receiving a list of used drugs and providing them to each pharmacy, a list of prepared drugs used for a certain period of time from the pharmacy billing program installed at each pharmacy is provided so that drugs can be sold or purchased from each other to easily dispose of unused inventory. Receiving, sorting the list of prepared drugs by each drug, and storing the information on the pharmacy in a database, receiving search information for selling unused stock or purchasing drugs from the pharmacy, and specifying the name of the drug extracted from the product search information. Based on this, it searches for pharmacies that use medicines in the database, sends the information on the pharmacies retrieved from the database to the terminal of the pharmacy that has applied for education, and initiates a configuration that closes the transaction by accepting the subscription and the subscription.

The reason that many unused stocks occur every year is due to the short product life cycle, as well as by mass purchase of raw materials in order to lower the unit price of raw materials. There is a growing need for a system that can effectively reduce the unused inventory of each company through effective brokerage.

An embodiment of the present invention predicts unused inventory of each company based on big data so that unnecessary raw materials are not imported and produced from the stage of import and production, and matches and price adjustments based on big data for inventory that have already occurred The seller can dispose of the inventory without going through ancillary procedures such as promotion or price adjustment by simply registering the product, and the buyer can purchase raw materials locally rather than foreign trade. Since it is possible to produce products with a competitive edge, it is possible to provide a method of providing a big data-based unused stock transaction service that can provide a plan for mutual growth between sellers and buyers. However, the technical problem to be achieved by the present embodiment is not limited to the technical problem as described above, and other technical problems may exist.

Step of uploading unused stock data from at least one seller terminal, requesting quality verification of unused stock of uploaded unused stock data to the agency server to collect test analysis and licensing data, unused stock data and test analysis And mapping and storing the license data, collecting production data including products produced, raw materials and requirements from at least one purchaser terminal, and collecting purchaser data including search, inquiry, purchase, and inquiry logs. And matching the unused stock data and the buyer data using a pre-built big data platform, and generating a marketing strategy based on the matched result.

According to any of the above-described problem solving means of the present invention, it is possible to prevent unused stocks from being resolved through stock sharing between companies, increasing price competitiveness by inducing active sales through stock sharing between companies, and providing maximum independence of participating companies. By doing so, it can create a synergy effect of the entire platform, and the seller can dispose of the inventory without going through ancillary procedures such as promotion or price adjustment by simply registering the product, and the buyer can dispose of raw materials locally, not foreign trade. Since it is possible to purchase a product with price competitiveness, it is possible to provide a way for a seller and a buyer to coexist with each other.

1 is a view for explaining a system for providing a service for trading unused stocks based on big data according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a server for providing an unused stock transaction service included in the system of FIG. 1.
3 is a diagram for explaining an embodiment in which a big data-based unused stock transaction service according to an embodiment of the present invention is implemented.
4 is a diagram illustrating an embodiment in which a non-member purchaser searches for an item among the services of FIG. 3.
FIG. 5 is a diagram illustrating an embodiment in which a member purchaser searches for an item among the services of FIG. 3.
6 is a diagram for explaining that the service of FIG. 3 is driven based on big data.
7 is a flowchart illustrating a method of providing a big data-based unused stock transaction service according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included, and one or more other features, not excluding other components, unless specifically stated to the contrary. It is to be understood that it does not preclude the presence or addition of any number, step, action, component, part, or combination thereof.

The terms "about", "substantially" and the like, as used throughout the specification, are used in or close to the numerical value when manufacturing and material tolerances specific to the stated meaning are presented, and are used in the sense of the present invention. To assist, accurate or absolute figures are used to prevent unfair use of the stated disclosure by unscrupulous infringers. As used throughout the specification of the present invention, the term "step (to)" or "step of" does not mean "step for".

In the present specification, the term "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, or two or more units may be realized using one hardware.

In this specification, some of the operations or functions described as being performed by the terminal, device, or device may be performed instead in a server connected to the terminal, device, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed by a terminal, device, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal means mapping or matching the unique number of the terminal or the identification information of the individual, which is the identification information of the terminal. Can be interpreted as.

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

1 is a diagram illustrating a system for providing a service for trading unused stocks based on big data according to an embodiment of the present invention. Referring to FIG. 1, a system for providing a big data-based unused stock transaction service 1 includes at least one buyer terminal 100, a unused stock transaction service providing server 300, at least one seller terminal 400, and at least one It may include an agency server 500 of. However, since the big data-based unused stock transaction service providing system 1 of FIG. 1 is only an embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1.

In this case, each component of FIG. 1 is generally connected through a network 200. For example, as shown in FIG. 1, at least one purchaser terminal 100 may be connected to the unused stock transaction service providing server 300 through the network 200. In addition, the unused stock transaction service providing server 300 may be connected to at least one buyer terminal 100, at least one seller terminal 400, and at least one agency server 500 through the network 200. . In addition, at least one seller terminal 400 may be connected to the unused stock transaction service providing server 300 through the network 200. In addition, the at least one agency server 500 may be connected to at least the unused inventory transaction service providing server 300 through the network 200.

Here, the network refers to a connection structure in which information exchange is possible between respective nodes such as a plurality of terminals and servers, and examples of such networks include RF, 3rd Generation Partnership Project (3GPP) network, and Long Term (LTE). Evolution) network, 5GPP (5rd Generation Partnership Project) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network) , Personal Area Network (PAN), Bluetooth (Bluetooth) network, NFC network, satellite broadcasting network, analog broadcasting network, Digital Multimedia Broadcasting (DMB) network, and the like, but are not limited thereto.

In the following, the term “at least one” is defined as a term including the singular number and the plural number, and even if the term “at least one” does not exist, each component may exist in the singular or plural, and may mean the singular or plural. It will be self-evident. In addition, it will be possible to change according to the embodiment that each component is provided in a singular or plural.

At least one purchaser terminal 100 requests a purchase using a web page, app page, program or application related to a big data-based unused stock transaction service, searches for purchase, or directly purchases raw materials produced by its own company. It may be a terminal that attaches a site URL to be input or automatically crawled. At this time, the at least one purchaser terminal 100 may be a terminal that requests price adjustment or arbitration to the unused stock transaction service providing server 300 when searching for a desired raw material, or when the transaction method is auction, the auction price is It may be a terminal that is described and provided to the unused stock transaction service providing server 300. In addition, at least one purchaser terminal 100 may use prepayment, postpayment, escrow service, etc. when performing payment for purchase, and when payment is completed, the information on order order and delivery is not used, and stock transaction service is provided. It may be a terminal receiving from the server 300.

Here, the at least one purchaser terminal 100 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a navigation system, a notebook equipped with a web browser, a desktop, a laptop, and the like. In this case, the at least one purchaser terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one purchaser terminal 100 is, for example, a wireless communication device with guaranteed portability and mobility, and includes navigation, personal communication system (PCS), global system for mobile communications (GSM), personal digital cellular (PDC), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) All types of handheld-based wireless communication devices such as terminals, smartphones, smartpads, and tablet PCs may be included.

The unused stock transaction service providing server 300 may be a server that provides a web page, an app page, a program, or an application for a big data-based unused stock transaction service. In addition, the unused stock transaction service providing server 300 may be a server that collects a list of unused materials held by individuals or companies from at least one seller terminal 400. At this time, the collection method can be manual or automatic, and in the case of automatic, information on the raw materials that produce the product can be collected through web crawling, etc. At this time, since the quantity, etc. are often not disclosed, only the quantity is manually entered separately. It may be a receiving method, but is not limited thereto. In addition, the unused stock transaction service providing server 300 may be a server that builds a database for each category or product group using unused stock registered in at least one seller terminal 400. And, when leaving a log such as searching for purchase or making a purchase request from at least one purchaser terminal 100, the unused stock transaction service providing server 300 builds the consumer's big data using the log. It can be a server that does. Of course, it is possible to construct big data or to run a big data algorithm in a separate interlocking server, but it is not excluded that it is performed in the unused stock transaction service providing server 300. In addition, the unused stock transaction service providing server 300 can perform targeted marketing to the corresponding customer base according to the purchase floor identified as big data and the product requested to purchase, and increase the width of the seller depending on which material is desired. It could be a server. In addition, the unused stock transaction service providing server 300 enables the user to adjust the amount of imports, etc. using an unused stock prediction algorithm so that unused stock does not occur, and for raw materials that have already been imported but may remain unused stock It may be a server that matches and does not remain in stock.

Here, the unused stock transaction service providing server 300 may be implemented as a computer that can access a remote server or terminal through a network. Here, the computer may include, for example, a navigation system, a notebook equipped with a web browser, a desktop, a laptop, and the like.

The at least one seller terminal 400 may be a terminal of a seller using a web page, an app page, a program, or an application related to a big data-based unused stock transaction service. In this case, the seller may be an individual or a company holding unused stock. In addition, the at least one seller terminal 400 may directly sell, but may be a terminal that commissions and mediates sales through the unused stock transaction service providing server 300. Accordingly, the at least one seller terminal 400 provides its own unused stock to the unused stock transaction service providing server 300 so that it can be sold, and by providing production volume, import volume, sales volume, etc. It may be a terminal that provides an input value so that the like can be derived. In addition, in the case of an auction transaction, the at least one seller terminal 400 selects a winner or provides a selection criterion to the unused stock transaction service providing server 300, and determines in advance to what extent the price adjustment request can be allowed. It may be a terminal to be set. However, it does not preclude direct sellers from making decisions without providing selection criteria.

Here, the at least one seller terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a navigation system, a notebook equipped with a web browser, a desktop, a laptop, and the like. In this case, the at least one seller terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one vendor terminal 400 is, for example, a wireless communication device that is guaranteed portability and mobility, and includes navigation, Personal Communication System (PCS), Global System for Mobile communications (GSM), Personal Digital Cellular (PDC), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) ) All types of handheld-based wireless communication devices such as terminals, smartphones, smartpads, and tablet PCs may be included.

At least one agency server 500, using a web page, app page, program, or application related to a big data-based unused inventory transaction service, disuse the test analysis results of the substance requested from the unused inventory transaction service providing server 300 It may be a server of an unused stock transaction service-related provider, such as providing it to the stock transaction service providing server 300 or providing a license and permission as feedback. At this time, the type of business is not limited, and any business linked to the platform according to an embodiment of the present invention is possible. In addition, it will be apparent that if the business is directly performed in the unused stock transaction service providing server 300, it can be formed integrally.

Here, the at least one agency server 500 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a navigation system, a notebook equipped with a web browser, a desktop, a laptop, and the like. In this case, the at least one agency company server 500 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one agency server 500, for example, as a wireless communication device that is guaranteed portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular) , PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband) Internet) terminal, smart phone (smartphone), smart pad (smartpad), such as a tablet PC (Tablet PC) may include all kinds of handheld-based wireless communication devices.

FIG. 2 is a block diagram illustrating a server for providing unused stock transaction services included in the system of FIG. 1, and FIG. 3 is a block diagram illustrating an embodiment in which a big data-based unused stock transaction service is implemented according to an embodiment of the present invention. It is a diagram for explanation, and FIGS. 4 to 6 are diagrams showing each driving screen according to an embodiment of the present invention.

Referring to FIG. 2, the unused stock transaction service providing server 300 includes an upload unit 310, a collection unit 320, a storage unit 330, a log unit 340, a matching unit 350, and a generation unit ( 360). When describing FIG. 2, each configuration will be described with reference to FIG. 3.

At least one buyer terminal 100, at least one seller terminal 400, and at least one other server (not shown) operating in conjunction with the unused stock transaction service providing server 300 according to an embodiment of the present invention When transmitting a big data-based unused stock transaction service application, program, app page, web page, etc. to the agency server 500 of, at least one buyer terminal 100, at least one seller terminal 400, and at least One agency server 500 may install or open a big data-based unused stock transaction service application, program, app page, web page, and the like. In addition, a service program may be driven in at least one purchaser terminal 100, at least one seller terminal 400, and at least one agency server 500 by using a script executed in a web browser. Here, the web browser is a program that enables you to use the web (WWW: world wide web) service, and refers to a program that receives and displays hypertext described in HTML (hyper text mark-up language). For example, Netscape , Explorer, chrome, etc. In addition, the application means an application on the terminal, and includes, for example, an app that is executed on a mobile terminal (smartphone).

Referring to FIG. 2, the upload unit 310 may upload unused stock data from at least one seller terminal 400. At this time, the upload unit 310, when receiving the unused inventory data from the at least one seller terminal 400, the at least one seller terminal 400 of COA (Certificate Of Analysis) and PSS (Pre-shipment Sample) Data can be collected. Here, COA (Certificate Of Analysis) means a test report for a product. In general, after providing a test report when delivering a chemical product, a sample request is made if the specification meets the requirements of the purchaser. Or, the test result of the product that the purchaser inquires after purchase to find out whether it meets the purpose of use is data proving all necessary information on a specific substance, and is performed for quality control of individual batches for each product (consistent with the specification). It may be the actual result of the tested test. At this time, PSS (Pre-shipment Sample) means a foresight sample, and a sample taken from a product production lot is first provided to a buyer, a customer, and delivery is proceeded for the lot that has received quality approval. Accordingly, by extracting parameters or feature values included in the transaction and allowing data on the corresponding product to be posted, inconvenience that a user must manually input can be reduced, and the product can be proved.

At this time, files such as Excel can of course be uploaded, and at this time, the upload unit 310 may extract a list of items, quantity, etc. from the file and automatically fill them in a preset layout. For example, when the X area in the article posting page is previously set that the quantity of the article should be input, the text extracted from the quantity area in the Excel file may be input to the corresponding X area. Of course, the method of automatically filling each layout may vary, so it is obvious that it is not limited to the listed ones.

The collection unit 320 may request quality verification of the uploaded unused stock data to the agency server 500 to collect test analysis and licensing data. At this time, it is possible to collect the results of quality verification, test analysis, and quality inspection on the condition of raw materials, so that buyers can trust and purchase, and a lot of time and manpower are devoted to licensing or test analysis. You do not have to do.

The storage unit 330 may map and store unused inventory data and test analysis and licensing data. In this case, the unused stock data includes currently generated unused stock data, but the predicted unused stock data may also be mapped and stored with the timing of inventory occurrence. For example, it includes, of course, the amount of unused inventory currently held by the seller, but you can predict that inventory will occur in a few months, and you can predict when inventory will occur and the amount of inventory. In this case, futures, options, etc. Since the goods can be traded, the seller may not have inventory of the goods a few months later.

To this end, demand planning (DP), which accurately predicts demand and reflects it in a company's production plan and logistics plan, is closely linked to customer demand through sales and marketing activities. In addition to using suitable techniques that reflect characteristics of the electronics industry to make predictions, it is important to effectively collect and analyze the data used for predictions. Accordingly, an embodiment of the present invention can quantitatively analyze the relationship between the accuracy of demand forecasting and the inventory level in the electronics industry. The low accuracy of demand forecasting results in high levels of inventory and excess inventory, which means that the company's profits may deteriorate. Therefore, by expressing the relationship between the accuracy of the demand forecast and the inventory level in a mathematical technique, it is possible to prevent companies from generating unused inventory due to mass production, or by executing pre-order sales for goods that are already imported and expected to be in stock. Make it possible to efficiently perform inventory management.

At this time, the forecasting methods used are supply chain management (SCM) and demand planning (DP), demand chain planning (DCP), time series model and ARIMA intervention model for tourism demand prediction, stepwise regression model, and Winters exponential smoothing. Models, ARIMA models, ARIMA intervention models, algorithms for predicting power demand using CMDH, and statistical prediction models may be used, but it is obvious that they are not limited to the above and may be changed according to various embodiments or situations.

The log unit 340 may collect production data including products produced, raw materials, and requirements from at least one purchaser terminal 100, and collect purchaser data including search, inquiry, purchase, and inquiry logs. . In this case, in the case of using web search traffic information of users per search word, it can be used to predict the near future through a search trend recently searched with interest by users. You can check the number of times searched by the search engine in relative and absolute numbers, and you can check the interest and demand of users using the search engine by time. Considering that the accessibility and easy to obtain web search traffic information data information is effective for prediction in fields regardless of elasticity, inelasticity, and liquidity, an embodiment of the present invention provides purchaser data to be registered by members and non-members. Big data may be collected from all search sites, including the site of the present invention, or may be collected by limiting to the search history of members and non-members on the site of the present invention.

The matching unit 350 may match unused inventory data and purchaser data using a pre-built big data platform. For example, if Seller A's B unused stock occurs 3 months later, and B raw materials of C buyers are needed 3 months later, Seller A may be introduced to Seller C or matched to broker a transaction. Alternatively, companies X, Y, and Z can be matched to promote the inventory to companies such as X, Y, and Z that need Seller A's B unused stock.

The matching unit 350 may match the unused stock data and the purchaser data using a pre-built big data platform, and then transmit the matching result to at least one purchaser terminal 100. In this case, the at least one purchaser terminal 100 may be driven based on a blind service that activates and outputs a matching result based on membership registration and authentication. In addition, the matching unit 350 transmits the matching result to at least one purchaser terminal 100, and then makes payment from at least one purchaser terminal 100 using any one of prepayment, escrow service, and postpayment. In the case of performing, ordering data including data of an item for which payment has been performed may be transmitted to the seller terminal 400. At this time, the unused stock transaction between the seller terminal 400 and the at least one buyer terminal 100 includes a general transaction and an auction transaction, and the fee for the unused stock transaction is the seller terminal 400 and at least one buyer terminal 100 ) Can be applied in different ways.

The matching unit 350, when matching the unused stock data and buyer data using a pre-built big data platform, collects one enemy unused stock data and at least one buyer data, and collects at least one unused stock data and Raw data including buyer data are stored in parallel and distributed, unstructured data, structured data and semi-structured data included in stored raw data are refined, and metadata Pre-treatment including classification as can be performed. In addition, the matching unit 350 analyzes the pre-processed data to predict items and occurrences of the seller's unused stock data, and the purchase list of the buyer, including data mining, and visualizes the analyzed data and outputs it. have. At this time, in data mining, classification (Classification), which predicts a class of new data by learning a training data set with a known class by searching for an intrinsic relationship between preprocessed data, or clustering that group data based on similarity without class information ( Clustering) may be included. The big data may be built in advance, or it may be built later, and if it is built in advance, it may be updated in a way that is relearned as the transaction proceeds or logs are accumulated.

The generation unit 360 may generate a marketing strategy based on the matched result. At this time, the generation unit 360 selects a list of expected buyers that require unused stock data and a list of sales items based on the matched result, the selected list of expected buyers, and a list of expected buyers who wish to purchase sales items Can be extracted. In other words, in addition to providing services to current members, brokerage services can be expanded by advertising or promoting to individuals or companies who are not members but who want to dig up the product, and individuals or companies who want to purchase the product.

Meanwhile, the unused stock transaction service providing server 300 builds a database for unused stock data of at least one seller terminal 400 and buyer data of at least one buyer terminal 100, and markets for each product group of unused stock. Analysis, adjust transaction unit price, and manage the expiration date.

Hereinafter, an operation process according to the configuration of the unused stock transaction service providing server of FIGS. 2 and 3 will be described in detail with reference to FIGS. 4 to 6 as an example. However, it will be apparent that the embodiment is only any one of various embodiments of the present invention, and is not limited thereto.

4 is a diagram illustrating an embodiment in which a non-member purchaser searches for an item among the services of FIG. 3. Referring to FIG. 4A, a non-member may also search for an item, but may search using a product name or number, and operators such as AND, NOT, and OR may also be provided. At this time, when a search word is entered and a search is performed, information such as content, country of origin, packing, quantity, etc. is displayed on a screen as shown in FIG. In addition, referring to FIG. 4C, when an icon of unused stock (chemical) is selected as an AND condition in all search results of FIG. 4B, only products corresponding to unused stock (chemical) among all the search results can be searched. In addition, when an icon of unused stock (non-chemical) is selected, all search results AND results of unused stock (non-chemical) are output as shown in FIG. 4D. If there is no search result, the list may not be output. In addition, when an icon of an affiliate product is selected as shown in FIG. 4E, all search results AND results of the affiliate product may be displayed.

FIG. 5 is a diagram illustrating an embodiment in which a member purchaser searches for an item among the services of FIG. 3. In the case of signing up as a member, all information may be output as shown in FIG. 5A, and all information on the reason for the out of stock, quantity, packing, and origin may be checked. Referring to FIG. 5B, selecting an additional search word from the search option is the same as that of FIG. 4C. Referring to FIG. 5C, when clicking icons corresponding to a plurality of categories in the result of FIG. 5B, products of the corresponding category are It can be calculated, extracted, and output. Further, referring to FIG. 5D, an embodiment of a result screen after a search result is shown, and it can be seen that sorting or filtering may be performed by company name or category.

6 is a diagram for explaining that the service of FIG. 3 is driven based on big data. Referring to FIG. 6, it can be seen that big data accumulated through unused stock transactions can be used as marketing data for sales. In other words, it is possible to expand customers without regional restrictions, to establish a virtuous cycle structure in which diversification of items and transactions of unused stocks are possible at the same time, and by solving the problem of unused stocks, in addition to generating new profits, sales of existing industries can be increased .

The matters not described for the method of providing the big data-based unused stock transaction service of FIGS. 2 to 6 are the same as or from the description of the method of providing the big data-based unused stock transaction service through FIG. Since it can be easily inferred, the following description will be omitted.

FIG. 7 is a diagram illustrating a process of transmitting and receiving data between components included in the system for providing a big data-based unused stock transaction service of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process in which data is transmitted/received between each component will be described through FIG. 7, but the present application is not limitedly interpreted as such an embodiment, and is illustrated in FIG. 7 according to various embodiments described above. It is apparent to those skilled in the art that the process of transmitting and receiving data may be changed.

Referring to FIG. 7, the unused stock transaction service providing server receives unused stock data from at least one seller terminal (S7100) and requests quality verification for unused stock of the uploaded unused stock data to the agency server for test analysis. And collecting license data (S7200).

In addition, the unused stock transaction service providing server maps and stores unused stock data and test analysis and licensing data (S7300), and collects production data including products produced, raw materials and requirements from at least one purchaser terminal, and Collects buyer data including search, inquiry, purchase, and inquiry logs (S7400), and matches unused stock data and buyer data using a pre-built big data platform (S7500). Finally, the unused stock transaction service providing server generates a marketing strategy based on the matched result (S7600).

The order between the above-described steps S7100 to S7600 is only an example and is not limited thereto. That is, the order of the above-described steps (S7100 to S7600) may be mutually changed, and some of the steps may be executed or deleted at the same time.

The matters not described with respect to the method of providing the big data-based unused stock transaction service of FIG. 7 are the same as or from the description of the method of providing the big data-based unused stock transaction service through FIGS. 1 to 6 above. Since it can be easily inferred, the following description will be omitted.

The method for providing a big data-based unused stock transaction service according to an embodiment described with reference to FIG. 7 may also be implemented in the form of a recording medium including instructions executable by a computer such as an application executed by a computer or a program module. I can. Computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Further, the computer-readable medium may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The method for providing a service for trading unused stocks based on big data according to an embodiment of the present invention described above is provided by an application basically installed on a terminal (this may include a program included in a platform or operating system basically mounted on the terminal). It may be executed, and may be executed by an application (ie, a program) directly installed on the master terminal by a user through an application providing server such as an application store server, an application, or a web server related to the service. In this sense, the method for providing a big data-based unused stock transaction service according to an embodiment of the present invention described above is implemented as an application (i.e., a program) installed basically on a terminal or directly installed by a user, and is implemented on a computer such as a terminal. It can be recorded on a readable recording medium.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

Claims (10)

In the method of providing the unused stock trading service executed in the unused stock trading service providing server,
Receiving unused stock data from at least one seller terminal;
Collecting test analysis and licensing data by requesting a quality verification of the uploaded unused stock data to an agency server for quality verification;
Mapping and storing the unused stock data and test analysis and licensing data;
Collecting production data including products produced, raw materials and requirements from at least one purchaser terminal, and collecting purchaser data including search, inquiry, purchase, and inquiry logs;
Matching the unused stock data and the purchaser data using a pre-built big data platform; And
Generating a marketing strategy based on the matched result;
Including,
The step of matching the unused stock data and the buyer data using a pre-built big data platform may include collecting at least one unused stock data and at least one buyer data, the at least one unused stock data and the buyer data Parallel and distributed storage of raw data including, unstructured data, structured data, and semi-structured data included in the stored raw data, and meta data Performing pre-processing including classification as, analyzing the pre-processed data to predict items and occurrences of the seller's unused stock data, purchase list of the seller, including data mining, and the analyzed data Visualizing and outputting,
In the data mining, classification (Classification) for predicting a class of new data by searching for an intrinsic relationship between the pre-processed data and learning a training data set with a known class, or clustering that group data based on similarity without class information ( Clustering),
In the step of mapping and storing the unused inventory data and test analysis and licensing data, the accuracy of demand forecasting and the accuracy of demand forecasting based on demand planning (DP) that accurately predicts demand and reflects it in the production plan and logistics plan of the company. Quantitatively interpret the relationship between inventory levels,
The purchaser data includes that the number of times a search engine searches for each time based on web search traffic information per search word is collected by time.
The method of claim 1,
The step of uploading unused stock data from at least one seller terminal,
Collecting data of a Certificate Of Analysis (COA) and Pre-shipment Sample (PSS) from the at least one seller terminal;
That includes, big data-based unused stock trading service providing method.
The method of claim 1,
Generating a marketing strategy based on the matched result,
Selecting a list of expected buyers and a list of sales items that require the unused stock data based on the matched result; And
Extracting the selected list of expected buyers and a list of expected buyers who wish to purchase the sales item;
That includes, big data-based unused stock trading service providing method.
The method of claim 1,
After the step of matching the unused stock data and the buyer data using a pre-built big data platform,
Transmitting the matching result to the at least one purchaser terminal;
Including more,
The at least one purchaser terminal is driven based on a blind service that activates and outputs the matching result on condition of membership registration and authentication.
The method of claim 4,
After the step of transmitting the matching result to the at least one purchaser terminal,
Transmitting order data including data of an item on which payment has been performed to the seller terminal when payment is performed using any one of prepayment, escrow service, and post-payment from the at least one purchaser terminal;
The method of providing a big data-based unused stock transaction service further comprising a.
The method of claim 1,
The unused stock transaction between the seller terminal and at least one buyer terminal includes a general transaction and an auction transaction,
The fee for the transaction of the unused stock is charged by differentially applied to the seller terminal and the at least one purchaser terminal, respectively.
The method of claim 1,
The unused stock transaction service providing server,
Build a database for unused inventory data of the at least one seller terminal and buyer data of the at least one buyer terminal,
Analyzing the market for each product group of the unused stock, adjusting the transaction unit price and managing the expiration date, big data-based unused stock trading service providing method.
delete delete A computer-readable recording medium in which a program for performing the method for providing the big data-based unused stock transaction service according to any one of claims 1 to 7 is recorded.

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