KR102645427B1 - System for trading pc - Google Patents

Abstract

The present invention relates to a PC parts trading system. The problem to be solved is to purchase and sell used PC parts at an appropriate price through bidding competition, and to use an artificial intelligence algorithm based on big data on used PC parts trading. Our goal is to provide a service that allows you to make reasonable purchases by providing information on optimal used or new PC parts.
For example, a used PC parts purchase and sales transaction department that provides bidding and purchase progress services between buyers and sellers of used PC parts through a shopping mall, and provides sales and purchase transaction services between sellers and buyers; And when a finished PC is assembled from used PC parts selected by the buyer, level ratings for executable computer programs and games and compatibility information between the used PC parts are provided based on big data on used PC parts transactions in shopping malls; PC parts trading, including a PC finished product information provision section that provides finished product PC recommendation information that combines PC parts according to the buyer's profit conditions based on input information for the buyer's purchase of finished PCs and big data on used PC parts transactions in shopping malls Start the system.

Description

PC parts trading system{SYSTEM FOR TRADING PC}

Embodiments of the present invention relate to a PC parts trading system.

Major computer components include CPU, Main Board, RAM, Graphic card, Case, Power Supply, SSD, HDD, Cooler, Keyboard, Mouse, etc. The conventional used PC business involves the combination of these major computer components and major components. There are two business models for selling finished PCs.

The used price of a finished PC is determined by the performance and specifications of the main components. It is not simply the used price of one computer, but the individual used prices of each major component are added to form the final used price.

In order to operate a business that purchases or sells conventional used PC parts or finished PCs, a computer parts price information provision system has been established, but in general, the existing computer parts price information provision system has an acquisition system that is too outdated. . For example, only by directly visiting the business you are interested in can you meet a computer parts importer who has computer parts and hear the price information directly. Additionally, because they do not receive standardized information, problems often arise after the fact due to mutual communication errors.

In addition, even if there is an investment in the price of the part you are interested in, there are many cases where you can only get information verbally, either over the phone or by visiting in person. First of all, as the exchange of parts price information relies on verbal discussions or in-person visits, there are many cases in which people are biased toward making momentary judgments and end up missing the timing.

Additionally, due to an imbalance in the supply of information that is not provided in a timely manner to where it is needed, too much time and economic power may be spent on marketing.

In addition, considering the fact that the prices of computer parts are not constant, it is natural for wholesalers and retailers who need access to a lot of price information to be provided with this opportunity, but the system they receive is provided by acquaintances, visiting websites, providing fax information, etc. These are all things you have to visit and do in person to get information.

To overcome this, in the Internet era, many B2B-type websites have been created to sell new computer parts. If you want to obtain information, you must visit the website directly and search for the information you are looking for.

However, all existing related websites either use a bulletin board format that simply lists general information or add a simple search function to find text information and simply list it again. In addition, all information is immediately and actively distributed according to the recipient. Rather than searching and moving, it is structured in a simple arrangement, so members have to go through several steps to find appropriate information or find customized information that suits them. In other words, under the system of obtaining information by searching directly or visiting a website, it is not as advanced as acquiring information in the general field, and there are more cases of missing the time. This can happen if you miss the right time during the information organizing stage or miss your important information during the search process.

In addition, the level between importers who enter information and companies or customers seeking information cannot move beyond the simple act of exchanging information, so active and active sales activities cannot even play the role of being filtered out in the previous stage of the sales office. It is impossible to escape the method of having to search for each item individually.

In addition, the existing method of exchanging information face-to-face inevitably wastes time for both brokers and customers.

Publication of Patent No. 10-2002-0030237 (Publication date: April 24, 2002) Registered Patent Publication No. 10-0618137 (registration date: August 23, 2006)

In an embodiment of the present invention, it is possible to purchase and sell used PC parts at an appropriate price through a bidding competition, and to obtain optimal used or new PC parts information through an artificial intelligence algorithm based on big data on used PC parts transactions. We provide a PC parts trading system that provides services to enable reasonable purchasing.

The PC parts trading system according to an embodiment of the present invention provides bidding and purchasing services between buyers and sellers of used PC parts through a shopping mall, and provides sales and purchase transaction services between sellers and buyers. Parts Purchase and Sales Department; And when a finished PC is assembled from used PC parts selected by the buyer, level ratings for executable computer programs and games and compatibility information between the used PC parts are provided based on big data on used PC parts transactions in shopping malls; It includes a PC finished product information provision section that provides finished product PC recommendation information with a combination of PC parts according to the buyer's profit conditions based on input information for the buyer's purchase of a finished PC and big data on used PC parts transactions in shopping malls.

In addition, the used PC parts purchase and sale transaction unit includes a purchase information list creation unit that receives information on used PC parts to be purchased and purchase price information from a purchasing company, collects the registered purchase information, and creates a purchase information list; a purchase information provider that extracts purchase information with the highest purchase price n from the purchase information list and provides it to the seller; And purchase information provided through the purchase information provider is selected by the seller, information is exchanged between the purchaser and the seller for a transaction on the selected purchase information, and delivery service of used PC parts is supported, and when the transaction is concluded. It may include a purchase transaction processing unit that processes deposit payments according to purchase price information.

In addition, the PC finished product information providing unit includes a PC parts information selection unit that receives at least one part information from used PC parts and new PC parts from a buyer to assemble a finished PC; Using an artificial intelligence algorithm based on big data for used PC parts trading through shopping malls, executable computer programs and game information and execution of the game are provided when assembling a finished PC with a combination of PC parts selected through the PC parts information selection section. A preliminary analysis unit of finished PC performance that provides level rating information on performance; Using an artificial intelligence algorithm based on big data for used PC parts transactions through shopping malls, we provide compatibility result information between PC parts selected through the PC part information selection section and recommended used and new PC parts based on the compatibility result information. PC compatibility preliminary analysis department for finished products; A buyer information register that receives and registers information from the buyer about the buyer's age group, buyer's gender, purpose of PC use, and main program used; Using an artificial intelligence algorithm based on big data for used PC parts transactions through shopping malls, recommending at least one product among the lowest price, highest sales, and highest compatibility for finished PCs according to buyer information registered through the buyer information register. It may include a finished product PC recommendation information provision section that provides information.

In addition, the PC finished product information providing unit searches for component information with the lowest price compared to the same performance sold in a shopping mall for each PC component selected through the PC component information selection section, and reflects the searched component information in the selling price to increase the final selling price and savings. It may further include a finished product PC quotation information provision unit that provides cost information.

In addition, the big data applied to the finished product PC performance preliminary analysis unit and the finished product PC compatibility analysis unit include product data, order data, and purchase review data for used and new PC parts, and the finished product PC recommendation information provision unit. Big data applied to may include order data and purchase review data for used and new PC parts according to age and gender, and product data for used and new PC parts.

In addition, it may further include an open API service provider that provides the data platform provided through the used PC parts purchase and sales transaction department and the PC finished product information provider to online shopping mall companies in an open API method for trading used and new PC parts. there is.

According to the present invention, it is possible to purchase and sell used PC parts at appropriate prices through bidding competition, and provides optimal used or new PC parts information through an artificial intelligence algorithm based on big data on used PC parts transactions. We can provide a PC parts trading system that provides services to enable reasonable purchasing.

Figure 1 is a diagram showing the overall configuration of a PC parts trading system according to an embodiment of the present invention.
Figure 2 is a block diagram showing the overall configuration of a PC parts trading system according to an embodiment of the present invention.
Figure 3 is a block diagram showing the configuration of a used PC parts purchase and sales transaction department according to an embodiment of the present invention.
Figure 4 is a diagram showing the operational flow of a used PC parts purchase and sales transaction unit according to an embodiment of the present invention.
Figure 5 is a diagram showing a method of purchasing and selling used PC parts through a used PC parts purchase and sales transaction department according to an embodiment of the present invention.
Figure 6 is a block diagram showing the configuration of a PC finished product information providing unit according to an embodiment of the present invention.
Figure 7 is a diagram illustrating a level grading method using a big data-based artificial intelligence algorithm according to an embodiment of the present invention.
Figure 8 is a diagram showing programs and game information executable at level 80 according to an embodiment of the present invention.
Figure 9 is a diagram showing the status of game support according to level rating according to an embodiment of the present invention.
Figure 10 is a diagram illustrating a recommendation information service for each PC component through a big data-based artificial intelligence algorithm according to an embodiment of the present invention.
Figure 11 is a diagram illustrating a compatibility analysis service between PC parts through a big data-based artificial intelligence algorithm according to an embodiment of the present invention.
Figure 12 is a diagram illustrating a method of recommending PC component information through a big data-based artificial intelligence algorithm according to an embodiment of the present invention.
Figure 13 is a diagram illustrating the use of services through an open API service provider according to an embodiment of the present invention.

The terms used in this specification will be briefly explained, and the present invention will be described in detail.

The terms used in the present invention are general terms that are currently widely used as much as possible while considering the function in the present invention, but this may vary depending on the intention or precedent of a person working in the art, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the relevant invention. Therefore, the terms used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than simply the name of the term.

When it is said that a part "includes" a certain element throughout the specification, this means that, unless specifically stated to the contrary, it does not exclude other elements but may further include other elements. In addition, terms such as "... unit" and "module" used in the specification refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or as a combination of hardware and software. .

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts that are not related to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

1 is a diagram showing the overall configuration of a PC parts trading system according to an embodiment of the present invention, and FIG. 2 is a block diagram showing the overall configuration of a PC parts trading system according to an embodiment of the present invention. 3 is a block diagram showing the configuration of the used PC parts purchase and sale transaction unit according to an embodiment of the present invention, Figure 4 is a diagram showing the operation flow of the used PC parts purchase and sale transaction unit according to an embodiment of the present invention, and Figure 5 is It is a diagram shown to explain the method of purchasing and selling used PC parts through a used PC parts purchase and sales transaction department according to an embodiment of the present invention, and Figure 6 is a block diagram showing the configuration of a PC finished product information providing unit according to an embodiment of the present invention. 7 is a diagram illustrating a level grading method using a big data-based artificial intelligence algorithm according to an embodiment of the present invention, and FIG. 8 is a program executable at level 80 according to an embodiment of the present invention. and game information, Figure 9 is a diagram showing the game support status according to level rating according to an embodiment of the present invention, and Figure 10 is a diagram showing a PC through a big data-based artificial intelligence algorithm according to an embodiment of the present invention. Figure 11 is a diagram illustrating a compatibility analysis service between PC parts through a big data-based artificial intelligence algorithm according to an embodiment of the present invention, and Figure 12 is a diagram illustrating a recommendation information service for each component. It is a diagram shown to explain a method of recommending PC parts information through a big data-based artificial intelligence algorithm according to an embodiment of the invention, and Figure 13 is a diagram to explain the use of services through an open API service provider according to an embodiment of the present invention. This is the drawing shown.

Referring to Figures 1 and 2, the PC parts trading system 1000 according to an embodiment of the present invention includes a used PC parts purchase and sales transaction department 100, a PC finished product information provider 200, and an open API service provider ( 300) may include at least one of the following.

The used PC parts purchase and sales transaction department (100) conducts bidding and bidding between the purchaser (1) and the seller (2) for used PC parts through an online shopping mall for the sale of multiple PC parts linked to this system (1000). It provides purchase progress services and can provide sales and purchase transaction services between the seller (3) and the buyer (4).

To this end, the used PC parts purchase and sale transaction unit 100 may include at least one of a purchase information list creation unit 110, a purchase information provision unit 120, and a purchase transaction processing unit 130, as shown in FIG. 3. You can.

Referring to FIGS. 1 and 4, the purchase information list generator 110 registers used PC parts information and purchase price information to be purchased from the purchase company 1, collects the registered purchase information, and generates a purchase information list. You can. More specifically, through the purchase application page of the online shopping mall, the purchasing company (1) can register information about the used PC parts it wishes to purchase and the purchase price for each used PC part, and each information registered in this way is A purchase information list can be created by collecting them, and the created purchase information list can be exposed again on the purchase application page. In addition, as shown in FIG. 5, the purchase price and sale price of used PC parts can be exposed together by registering not only the purchase price but also the sale price of the product to be purchased. In addition, although not shown, the purchase price and sale price of used PC parts as well as the sales price of new products (new PC parts) can also be registered and exposed through an online shopping mall. Accordingly, the current used purchase price, used sale price, and new product sale price are displayed for various products (used goods, new products) in the online shopping mall, and before and after purchasing parts or quotation products, you can "display when clicking on the purchased product" or "view used price." It may be exposed when selected.

Referring to FIG. 4, the purchase information provider 120 may extract purchase information for the n highest purchase prices (for example, 3 is appropriate) from the purchase information list and provide the purchase information to the seller. Here, a bidding competition can take place between purchasing companies to determine the number of highest purchase prices, and n purchasing companies (1) registered with the highest price can be selected through bidding and the corresponding purchase information can be exposed to sellers through an online shopping mall. there is.

The purchase transaction processing unit 130 receives purchase information provided through the purchase information provider 120 selected from the seller, and provides information between the purchase company 1 and the seller 2 for a transaction on the selected purchase information. exchange, support delivery services for used PC parts, and process deposit payments based on purchase price information when a transaction is completed. That is, as shown in Figure 4, when the seller (2) selects any purchase information desired among the purchase information exposed to the seller (2) through the online shopping mall, the purchasing company (1) that has registered the selected purchase information Information is provided to the seller (1), and the purchasing company (1) can also receive information about the seller (2). Accordingly, after communication for a transaction between the purchasing company (1) and the seller (2), a delivery service can be provided to deliver the transaction product (used PC parts) of the seller (2) to the purchasing company (1). After confirming the marketability or condition of the used PC parts delivered to the company (1), payment processing services can be provided through deposit to the seller (2).

When assembling a finished PC using used PC parts selected by the buyer, the PC finished product information providing unit 200 provides level ratings and Provides compatibility information between used PC parts and provides recommended finished PCs with a combination of PC parts according to the buyer's profit conditions based on input information for the buyer's purchase of finished PCs and big data on used PC parts transactions in shopping malls. can do.

For this purpose, as shown in FIG. 6, the PC finished product information providing unit 200 includes a PC parts information selection unit 210, a finished product PC performance preliminary analysis unit 220, a finished product PC compatibility preliminary analysis unit 230, and buyer information. It may include at least one of a registration unit 240, a finished product PC recommendation information provision unit 250, and a finished product PC quotation information provision unit 260.

The PC parts information selection unit 210 may receive from the purchaser 4 at least one part information selected from used PC parts and new PC parts for assembling a finished PC. For example, the buyer (4) purchases the CPU, Main Board, Memory, and Graphic Card to create a finished PC through the used and/or new PC parts sales page provided by the seller (3), as shown in Figure 7. , you can select specific models for SSD, Case, Power Supply, etc.

The finished product PC performance preliminary analysis unit 220 uses an artificial intelligence algorithm based on big data for used PC parts transactions through an online shopping mall to assemble a finished PC with a combination of PC parts selected through the PC parts information selection unit. Information on executable computer programs and games and level rating information on the execution performance of the game can be provided. Here, big data may include product data, order data, and purchase review data for used and new PC parts.

More specifically, as shown in Figure 7, when the buyer (4) selects a specific model for CPU, Main Board, Memory, Graphic Card, SSD, Case, Power Supply, etc. for assembling a finished PC, based on big data By entering the information on the parts selected by the buyer (4) into the artificial intelligence algorithm built in advance, information on what programs can be run and what games can be played when the finished PC is assembled with the selected parts is shown in FIG. 8. It can provide results as shown. In addition, as shown in Figure 7, level ratings can be assigned to games that can be played when a finished PC is assembled with optional parts, and as shown in Figure 9, compatibility and performance for each game type according to the level rating By providing high and low information, even beginners can estimate the level of compatibility and performance of various programs and games with the PC parts they have selected before assembling a PC.

The finished product PC compatibility preliminary analysis unit 230 uses an artificial intelligence algorithm based on big data for used PC parts transactions through an online shopping mall to obtain compatibility results between PC parts selected through the PC parts information selection unit 210. It can provide recommendations for used and new PC parts based on the information and their compatibility results. Here, big data may include product data, order data, and purchase review data for used and new PC parts.

More specifically, as shown in Figure 10, when the buyer (4) selects a specific model for CPU, Main Board, Memory, Graphic Card, SSD, Case, Power Supply, etc. for assembling a finished PC, based on big data By entering the information on the parts selected by the purchaser (4) into a pre-built artificial intelligence algorithm, the compatibility between each part can be evaluated and analyzed when the finished PC is assembled with the selected parts. The evaluation and analysis results for compatibility may be provided as negative or positive results. In the case of a negative result, as shown in Figure 10, "The selected motherboard is not compatible with the CPU. The selected memory is not compatible with the motherboard. It is possible to recommend the more compatible part information for these two parts while providing negative result information about compatibility, such as "The compatibility is not correct." In addition, in the case of a positive result, positive result information about compatibility can be provided, such as "This is the most common combination recently. More than 00 units are traded on average per month."

The buyer information register 240 can be registered by receiving information from the buyer 4 about the age of the buyer 4, the buyer's gender, the purpose of using the PC, and the main program used, and this is a finished product PC recommendation, which will be described later. It is transmitted as an input value to the information provider 250 and can provide information about optimal PC parts or a finished PC combined with them according to the information of the buyer 4.

The finished product PC recommendation information provision unit 250 uses an artificial intelligence algorithm based on big data for used PC parts transactions through online shopping malls to provide finished product PCs according to buyer information registered through the buyer information register 240. At least one product recommendation information among the lowest price, highest sale, and highest compatibility can be provided. Here, big data may include order data and purchase review data for used and new PC parts according to age and gender, and product data for used and new PC parts.

More specifically, as shown in Figure 11, first, the first big data artificial intelligence algorithm is performed based on the age information (20s) and gender information (female) of the purchaser (4) included in the membership registration information. Analyzing the types, specifications, purchase reviews, uses, etc. of used or new PC parts traded to manufacture finished PCs mainly purchased by the relevant age group and gender (analyzing the average propensity to purchase parts according to the relevant age group and gender) Thus, the result can be derived. Afterwards, the purchaser (4) receives information about the intended use (office use) and main program (MS Office, Internet search) of the finished PC he or she wishes to purchase, and analyzes the secondary big data artificial intelligence algorithm based on the selected information. The results can be derived. In this way, when information about the results (PC parts information) is derived through an artificial intelligence algorithm based on primary and secondary big data, the product most suitable for women in their 20s is selected based on the lowest price, maximum sales, and compatibility based on the derived information. Product information can be provided and recommended. In this way, recommended product information can be extracted based on big data by using the buyer's (2) basic information (age group, gender) and information on usage (main program) or purpose as input values, and these products By providing parts recommendation information to enable optimal selection based on three criteria (lowest price, maximum sales, and compatibility), the closest optimal product to the buyer can be recommended.

The finished product PC quotation information providing unit 260 searches for component information with the lowest price compared to the same performance sold in an online shopping mall for each PC component selected through the PC component information selection unit 210, and provides the searched component information. Final selling price and savings cost information can be provided by reflecting it in the selling price.

More specifically, as shown in Figure 12, when the buyer (4) selects a specific model for CPU, Main Board, Memory, Graphic Card, SSD, Case, Power Supply, etc. for assembling a finished PC, based on big data By entering the information on the parts selected by the purchaser (4) into the pre-built artificial intelligence algorithm, evaluation and analysis information on the selected parts can be provided to obtain cost-effective results when assembling a finished PC with the selected parts. there is. For example, in the case of graphics cards and SSDs, artificial intelligence recommended product information such as "Changing the graphics card to a product from company 00 will provide better cost-effectiveness. Changing the SSD to 00G will still be suitable for the intended use" can be provided. By calculating how much can be saved based on the total selling price of the parts selected by the buyer (4) and providing the calculated information, a basis for increased cost-effectiveness can be presented.

The open API service provider 300 uses the data platform provided through the used PC parts purchase and sales transaction department 100 and the finished PC product information provider 200 to trade used and new PC parts through an open API method. It can be provided to shopping mall companies.

More specifically, the open API service provider 300 provides used/new PC parts using the logic and results provided through the used PC parts purchase and sales transaction department 100 and the finished PC product information provider 200 in an open API format. It can be provided as an online shopping mall company for trading. This open API service provider 300 determines the value or purpose that sellers and buyers of used/new PC parts want to obtain based on information provided through accumulated big data and artificial intelligence algorithm analysis based on the big data. This allows us to create an environment where acquisition is possible through fair opportunities. Here, Logic is the process of purchasing and selling used/new PC parts at appropriate prices through bidding competition, the results of that process, and an artificial intelligence algorithm based on big data on used/new PC parts transactions. Through this, you can receive optimal used or new PC parts information and include the process and results of providing services to enable reasonable purchases. In addition, the results may include values (e.g., product level rating, etc.) analyzed through AI algorithms on big data such as PC component sales price, purchase price, and product order purchase reviews.

The open API service provider 300 provides an API environment that can be developed in an embedded manner, such as an Internet shopping mall, and allows Internet shopping mall companies to obtain various services desired through the API. For example, as shown in Figure 13, the open API service provider 300 provides product price information API, product level rating API, product information (specification) API, product compatibility check API, order data information API, and C/S. It is possible to provide an environment where online shopping mall companies can selectively provide and use various services desired, such as reception and processing information API.

What has been described above is only one embodiment for implementing the PC parts trading system according to the present invention, and the present invention is not limited to the above embodiment, and the gist of the present invention is summarized as claimed in the following patent claims. Without departing from this, anyone with ordinary knowledge in the field to which the invention pertains will say that the technical spirit of the present invention exists to the extent that various modifications can be made.

1000: PC parts trading system
100: Used PC parts purchase and sales transaction department
110: Purchase information list generation unit
120: Purchase information provision unit
130: Purchase transaction processing department
200: PC finished product information provision section
210: PC component information selection unit
220: Finished PC performance preliminary analysis unit
230: Finished product PC compatibility preliminary analysis unit
240: Buyer information register
250: Finished PC recommendation information provision section
260: Finished product PC quotation information provision section
300: Open API service provision department

Claims (6)

A used PC parts purchase and sales department that provides bidding and purchase services between buyers and sellers of used PC parts through a shopping mall, and provides sales and purchase transaction services between sellers and buyers; and
When a finished PC is assembled from used PC parts selected by the buyer, level ratings for executable computer programs and games and compatibility information between the used PC parts are provided based on big data on used PC parts transactions in shopping malls, and the buyer Based on input information for purchasing finished PCs and big data on used PC parts transactions in shopping malls, we provide recommended finished PCs with a combination of PC parts according to the buyer's profit conditions.
PC finished product information provision department,
a PC parts information selection unit that receives information on at least one of used PC parts and new PC parts from a buyer for assembling a finished PC;
Using an artificial intelligence algorithm based on big data for used PC parts trading through shopping malls, executable computer programs and game information and execution of the game are provided when assembling a finished PC with a combination of PC parts selected through the PC parts information selection section. A preliminary analysis unit of finished PC performance that provides level rating information on performance;
Using an artificial intelligence algorithm based on big data for used PC parts transactions through shopping malls, we provide compatibility result information between PC parts selected through the PC part information selection section and recommended used and new PC parts based on the compatibility result information. PC compatibility preliminary analysis department for finished products;
A buyer information register that receives and registers information from the buyer about the buyer's age group, buyer's gender, purpose of PC use, and main program used;
Using an artificial intelligence algorithm based on big data for used PC parts transactions through shopping malls, recommending at least one product among the lowest price, highest sales, and highest compatibility for finished PCs according to buyer information registered through the buyer information register. Includes a finished product PC recommendation information provision section that provides information,
The highest compatibility refers to compatibility evaluated as high, medium, and low compatibility according to the type of game that can be played on a finished PC,
The big data applied to the finished product PC performance preliminary analysis unit and the finished product PC compatibility analysis unit includes product data, order data, and purchase review data for used and new PC parts,
The big data applied to the finished product PC recommendation information provision section includes order data and purchase review data for used and new PC parts according to age and gender, and product data for used and new PC parts,
The finished product PC recommendation information provision department,
The primary big data artificial intelligence algorithm is performed based on the buyer's age and gender information to determine the type, specifications, purchase reviews, and usage of used or new PC parts traded to produce a finished PC purchased by that age group and gender. After deriving the results by conducting an analysis based on the average propensity to purchase parts according to age and gender, the buyer is asked to select the intended use and main program information of the finished PC they wish to purchase, and based on the selected information, Analysis using secondary big data artificial intelligence algorithms is performed to derive results, and product data is recommended based on the derived results.
The finished product PC compatibility preliminary analysis department,
In the case of a negative result on compatibility, it provides negative result information on compatibility and recommends part information with relatively better compatibility than the PC part selected through the PC part information selection unit, and in the case of a positive result on compatibility, it recommends part information on compatibility. A PC parts trading system comprising a PC finished product information provision unit that provides positive result information and information on the average monthly transaction number.
According to claim 1,
The used PC parts purchase and sales department is,
a purchase information list creation unit that registers information on used PC parts to be purchased and purchase price information from a purchasing company, collects the registered purchase information, and creates a purchase information list;
a purchase information provider that extracts purchase information with the highest purchase price n from the purchase information list and provides it to the seller; and
Purchase information provided through the purchase information provision section is selected by the seller, information is exchanged between the purchaser and the seller for a transaction on the selected purchase information, delivery service for used PC parts is supported, and purchase price is provided upon completion of the transaction. A PC parts trading system comprising a purchase transaction processing unit that processes deposit payments according to information.
delete According to claim 1,
The PC finished product information provision department,
Finished PC quotation information that searches for the lowest price component information for the same performance sold in shopping malls for each PC component selected through the PC component information selection section, and reflects the searched component information in the selling price to provide final selling price and savings cost information. A PC parts trading system further comprising a provision unit.
delete According to claim 1,
Characterized by further comprising an open API service provider that provides the data platform provided through the used PC parts purchase and sale transaction department and the PC finished product information provider to online shopping mall companies in an open API method for trading used and new PC parts. PC parts trading system.