KR100892290B1 - Components recommendation system for online order and the methode thereof - Google Patents

Abstract

A component recommendation system for an online order and a method thereof are provided to enable a purchaser to select only compatible components when purchasing components for final manufacturing production through online. An internet service unit(11) provides an online purchasing service of an accessed purchaser, and a component recommending unit(12) recommends an optimized compatible components based on a compatible component evaluation score for the components indicated in component order sheet details. A storage unit(13) stores at least one kind of a compatible component evaluation reference information which includes compatible component evaluation score. A compatible component evaluator(14) calculates the compatible component evaluation score for the compatible components and the components included in the component order sheet details, and stores the calculated score at the storage unit.

Description

COMPONENTS RECOMMENDATION SYSTEM FOR ONLINE ORDER AND THE METHODE THEREOF}

The present invention relates to an online shopping mall, and more particularly, recommends an optimum compatible part for parts of an order form created upon purchase of an item using an online shopping mall after previously registering and storing evaluation information for each part in an online shopping mall. A component recommendation system and method for online ordering.

It is no exaggeration to say that all of the off-line commerce is being done online according to the development of internet communication technology. Products through an online shopping mall that allows consumers to purchase home appliances, miscellaneous goods, books, computers, finished products, and assembled products in an online shopping mall. Purchasing services are provided.

Typical examples include online computer shopping shopping, which allows you to purchase assembled PCs online. WWW.HACKER.CO.KR, WWW.POPS4U.CO .KR and so on.

In the case of the two online computer sales sites described above, a purchaser can select and purchase computer parts when he wants to assemble his own computer. To do this, the purchaser performs an estimate for the assembly of the computer by selecting the parts suitable for the computer of the desired specification. In this case, the selection of each part is generally determined by inputting a product name of a product to be purchased, a part, and the like to search for product information, and then using information such as a price or reviews of other buyers.

During the part quotation process, the computer sales site outputs the parts that are compatible with the first selected part for the part selected after the first part based on the first part selected when the buyer selects the part. It is possible to minimize problems such as delayed assembly of PCs and delivery procedures due to replacement caused by the purchase of parts.

However, the above-described online parts sales site of the related art may indicate whether the computer is compatible or not, but may not recommend the best compatible parts according to the evaluation of each part.

For this reason, the purchaser also has a problem that the purchase of all the compatible parts can be a finished product of the desired performance, but only the parts must be purchased to manufacture the finished product to find out the defect of the parts order.

In the event of a defect in the finished product, it may take a long time for an expert to figure out which part has a problem. Moreover, if the purchaser is a non-expert who does not have expertise on the product, There is a problem that it is impossible to identify the cause of the defect quickly, such that it is impossible to identify itself so that the cause can be found only by taking follow-up actions such as inquiring a product purchase site.

In addition, since the delivery procedure for the replacement of parts is performed even after such a problem is found, it takes a long time to complete the product, as well as an additional cost.

In addition, in the case of a conventional online parts sales site, a buyer cannot perform a part purchase because the buyer cannot select another compatible part if the selected part is not for sale, and the seller cannot There is also a problem that can not be sold.

Problems that occur during the purchase of parts of the prior art, the same occurs not only at the purchase of computer-related parts but also at the purchase of all parts, such as building materials, automotive supplies, RC kits.

Therefore, the present invention is to solve the above-mentioned problems of the prior art, the online order to store the evaluation information for each part in the online purchase of parts for the finished product, and then to recommend the best compatible parts when ordering the buyer's parts It is an object of the present invention to provide a component recommendation system and method thereof.

Component recommendation system for on-line ordering of the present invention for achieving the above object, the Internet service unit for providing an online purchase performance service of the buyer connected via a communication network; A component recommending unit for recommending an optimum compatible part by referring to a compatible parts evaluation score for the parts included in the purchase order of the parts order inputted through the Internet service unit; A storage unit for storing the parts information including the compatible parts evaluation score and the compatible parts evaluation criteria information for recommending the optimum compatible parts for the parts; And a compatible parts evaluation unit for calculating compatible parts evaluation scores for parts compatible with each other by referring to the compatible parts evaluation criteria information and storing the compatible parts evaluation scores in the storage unit.

The storage unit stores each of the stored data in the form of a database (DB). Specifically, an Internet service database for storing software and data information such as HTML, XML, CGI, etc. for Internet services such as component recommendation (Internet Service DB); A commodity database (commodity DB) that stores information on commodities or finished products sold online; A parts database (part DB) for storing part information constituting each product or finished product and a compatible part evaluation score for the part; A parts order database (part order DB) for storing an order form for previously performed parts; A compatible parts evaluation criteria database (compatible parts evaluation criteria DB) for storing compatible parts evaluation criteria information for calculating a compatible parts evaluation score for each compatible part; It has a member and seller database (member and seller DB) that stores member and seller information.

In addition, the component recommendation part of the system for recommending parts for online ordering of the present invention recommends the best compatible part based on a compatible parts evaluation score pre-registered in the parts DB. In this case, the parts recommendation part may be configured to recommend a part to be sold having the same specification or a certain grade range as a replacement part when the optimum compatible part is not a part to be sold. In addition, the component recommendation unit may be configured to output the feature information of the recommended optimum compatible component, and in this case, the example of the output of the component feature information, in the case of memory, "EK6400 memory has a heat sink." In the case of the motherboard, "Dencom's P35 board has built-in graphics capabilities." And the like.

The compatible parts evaluating unit may include: a part evaluation for giving evaluation scores for parts by parts sold, information retrieved, and number of vendors for parts compatible with each other among parts stored in the storage unit; A member evaluation for giving evaluation scores of parts for each member class when the buyer is a registered member; A purchase count evaluation for assigning an evaluation score of parts according to a conventional number of parts purchased by a buyer stored in the storage unit; Another member's opinion evaluation that gives a score reflecting the evaluation score of each compatible part registered by the other member for each compatible part; The evaluation score for the part is given by performing at least one of the evaluations. At this time, the other member's opinion evaluation step may be performed by referencing the parts order of the buyer and the member or the buyer to evaluate the compatibility, price, performance, etc. of the parts included in the order and assign a compatibility evaluation score. have.

In addition, the compatible parts evaluation unit, the price evaluation for assigning a score for each predetermined grade according to the price difference of the replaceable parts for each part of the parts order; A performance evaluation for assigning a score according to the performance difference between the finished product corresponding to the parts of the order and the finished product in the case of applying other parts replacing the parts; May be configured to calculate at least one of the compatible parts evaluation scores for the parts.

Next, a component recommendation method for an online order of the present invention for achieving the above object is a component recommendation for an online order including an Internet service unit, a component recommendation unit, a storage unit, and a compatible component evaluation unit. A system comprising: a compatible part evaluation information storing step of storing a compatible part evaluation score generated by performing a compatible part evaluation for each part and compatible part evaluation reference information for generating a compatible part evaluation score; A part order receiving step of receiving an order form through a part order form form provided to the online access buyer by the Internet service unit; And a component recommendation step of comparing the parts of the order received in the component order receiving step with the compatible component evaluation information to detect an optimum compatible part and recommending the detected compatible part. do.

The evaluation of the compatible parts for assigning the compatible parts evaluation score in the compatible part evaluation information storage step of the above-described processing is performed on the parts evaluation, member evaluation, purchase count evaluation, other member opinion evaluation, price performed by the compatible part evaluation unit. Evaluation and performance evaluation are performed in the same manner as assigning a compatible parts evaluation score for each compatible part.

Next, the component recommendation step of the above-described processing is performed by the component recommendation unit, and the optimum compatible component detection step of detecting a component having the highest compatible component evaluation score in the purchaser's parts order as the most compatible component; An optimum compatible part recommendation step of outputting a part detected in the optimum compatible part detection step as a recommended part; A purchasing decision step of allowing a buyer to select whether to purchase a part or rewrite a part order for the parts recommended in the optimum compatible part recommendation step; When the purchaser selects a purchase in the purchase decision step, a part order storing step of storing part order information after performing a payment procedure for purchasing parts according to the parts order details;

In the detecting of the optimum compatible part for recommending the part, the first part selected from the parts of the part order is used as a reference part, and the parts selected later have the highest compatible part evaluation score among the parts compatible with the reference part. It can be configured to detect.

The parts recommendation method for the online order of the present invention described above may also be configured to replace other compatible parts if the buyer ordered parts is not for sale. In this case, the selection of the replacement part may be configured to replace and recommend a part having an evaluation point having the same compatible parts evaluation score or a predetermined value or more by the component recommendation unit.

To this end, the component recommendation step of the present invention includes, after the component order receiving step, a sales target determining step of determining whether to sell the parts included in the received component order part; If it is determined that the object is not for sale in the selling target determination step, the replacement part recommendation step of recommending the sales target parts having the same specifications as a replacement part; may be further included.

The optimum compatible part recommendation step and the replacement part recommendation step performed by the part recommendation unit may be configured to output the feature information of the recommended part. In this case, an example of the output part feature information is "EK6400" in the case of a memory. The memory has a heat sink. "In the case of the motherboard," The D & D P35 board has integrated graphics. " And the like.

According to the present invention having the above-described configuration, when a purchaser connects to a corresponding purchase site for online purchase of parts, such as assembly of a PC, and creates a part order for purchase, the corresponding purchase site is included in the parts order. Evaluation and analysis will be performed to detect and recommend the best compatible parts. Accordingly, the purchaser can easily select and purchase the best compatible parts when purchasing the online parts for the manufacture of the finished product such as the assembly of the PC.

The present invention, which performs the configuration and operation as described above, enables the purchaser to select only compatible parts when purchasing online parts for the manufacture of a finished product, such as assembling a PC, thereby facilitating ordering of parts and allowing the orderer to achieve optimum compatibility. It is possible to select a part, thereby preventing the purchase of incompatible parts, thereby providing the effect of reducing the time and cost associated with the replacement of the wrongly purchased parts.

In addition, the present invention provides an effect of significantly lowering the possibility of a finished product manufacturing failure, such as PC assembly of the buyer.

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

In the description of the present invention, the compatible parts evaluation score is a relative value set between the parts compatible with each other, and the compatible parts evaluation scores for the two compatible parts have the same value with respect to each other. Therefore, different compatible part evaluation scores may be given when different compatible parts are compared.

1 is a block diagram of a parts sales server 10 as an embodiment in which a component recommendation system for an online order of the present invention is configured as a server, and FIG. 2 is a storage unit 13 of the parts sales server 10 of FIG. 1. 3 is a diagram illustrating a state in which the parts sales server 10 of FIG. 1 is implemented on the Internet through a communication network, and FIG. 4 is an Internet service unit 11 of the parts sales server 10 of FIG. A diagram showing an interface screen for ordering parts and recommending parts performed by).

As shown in FIGS. 1 and 3, the parts sales server 10 as an example of the parts promotion system for online ordering of the present invention includes a purchaser terminal 20 connected to a communication network 50 including an internet network. An internet service unit 11 for providing an online component purchase and execution service of a buyer connected through a communication network 50 using the internet service unit 11; The part recommendation part recommending a part having the highest compatible part evaluation score for each part stored in the storage part 13 for the parts included in the parts order history of the buyer entered through the Internet service part 11 as the best compatible part. 12); A storage unit 13 for storing product, parts, and order evaluation criteria information and member information for component recommendation; Includes a compatible parts evaluation unit 14 to store a compatible part evaluation score for each of the parts compatible with each other according to the product sales volume, number of views, performance, price, number of purchases, membership grade for each part to be sold; In addition, a CPU as a central processing unit, a communication connection unit such as a LAN card for connection with the communication network 50, an input device such as a keyboard, a scanner for inputting user control commands and data, and a driving state A general server including a display unit for outputting a monitor, an output device for outputting data to an external printer, and the like, and a volatile memory device, an optical disk device, a floppy disk device, etc. for loading and storing data in a storage unit. It is implemented in the form of.

In the configuration of the parts sales server 10 described above, the Internet service unit 11 is implemented using various programming languages such as XML, HTML, CGI, PHP, and the like, such as Internet Explorer, Netscape, etc. configured in buyers, sellers, and member terminals. It provides a two-way internet communication service to members, buyers, and sellers by using interface data implemented to provide a two-way communication interface screen by being executed in a browser. It is implemented as a server module for internet services such as Apache server module and IIS server module. do.

Specific example of the above-described interface screen, Figure 4 is an example of the interface screen 60 is provided by the Internet service unit 11 is applied to the Internet shopping mall that performs the sale of the assembly PC is provided for parts order creation and parts recommendation As shown in FIG. 4, a component selection window 61 for generating a part order and a compatible parts display window 62 displaying a part compatible with the selected part are provided. The compatible parts display window 62 is selected. A reference part display window 63 for displaying the first selected part among the parts as a reference part; For the parts selected after the reference part, an optimum compatible part display window 64 for outputting a part given the highest compatible part evaluation score by evaluation of the compatible part with the reference part is provided. At this time, a part order including a part selected by the purchaser but not shown in the drawing is generated separately.

Next, the parts recommendation unit 12 of the above-described parts sales server 10 allows the purchaser to create a parts order, extracts a compatible part from the storage unit 13 with respect to the reference part among the parts order, and then evaluates the compatible parts. The highest component is recommended as the recommended component, and the result of such a component recommendation is output to the optimum compatible component display window 64 on the screen of FIG. In this case, the component recommendation part 12 may be configured to recommend a part to be sold having the same specification or a certain grade range as a replacement part when the optimum compatible part is not a part to be sold. In addition, the component recommendation unit may be configured to output the feature information of the recommended component together. In this case, the example of the output of the component feature information, in the case of memory, "EK6400 memory has a heat sink." The "Dencomcom P35 board includes built-in graphics capabilities." And the like.

Next, the storage unit 13 is a data recommendation service to the Internet service unit 11 and the two-way Internet communication interface data by the Internet service unit 11, member information, product and parts information, parts order information And storing the evaluation information and providing data for driving the Internet service unit 11, the component recommendation unit 12, and the compatible component evaluation unit 13, and storing the stored data in the form of a database (DB). Save it.

The configuration of the storage unit 13 will be described in more detail with reference to FIG. 2. As shown in FIG. 2, the storage unit 13 stores software and data information such as HTML, XML, and CGI for Internet services. An Internet service database (Internet service DB) 13a; A commodity database (commodity DB) 13b which stores information on the target commodity or the finished products sold online; A parts database (part DB) 13c which stores parts information constituting each product or finished product and compatible parts evaluation scores for the parts; A part order database (part order DB) 13d for storing a part order for a previously performed part order; A compatible parts evaluation criteria database (compatible parts evaluation criteria DB) 13e for storing compatible parts evaluation criteria information for calculating compatible parts evaluation scores for each part; And a member and seller database (member and seller DB) 13f for storing information of members and sellers.

Here, the compatible part evaluation criteria DB 13e stores an algorithm for calculating a compatible part evaluation score for the part, wherein the algorithm for assigning the compatible part evaluation score is a compatible part among the parts stored in the storage unit 13. A parts evaluation algorithm for assigning a compatible parts evaluation score to each part by sales amount, information search number, and number of sales companies; A membership evaluation algorithm for assigning a compatible component evaluation score of parts by membership class when the purchaser is a registered member; A purchase frequency evaluation algorithm for assigning evaluation scores of parts according to a conventional number of purchases of a buyer stored in the storage unit 13; A feedback evaluation algorithm of another member which assigns a compatible parts evaluation score to reflect the evaluation score registered by another member; A price evaluation algorithm for assigning a compatible parts evaluation score according to the price difference between the parts replaceable for each part of the parts order; And a performance evaluation algorithm for assigning a compatible parts evaluation score according to the performance difference with the finished product when a replaceable part is applied to each part when the finished product is manufactured from the parts of the parts order.

Here, the member includes all visitors who perform activities such as writing on a bulletin board by visiting a shopping mall site without a purchaser or a purchase intention, in addition to those who have subscribed to a shopping mall site to which the present invention is applied.

An example of an algorithm for assigning each of the above-mentioned compatible parts evaluation scores will be described below.

First, as an example of a part evaluation algorithm, the sales amount X 5 of parts, the product information number X 3 of the parts, the number of vendors X 2 for each part of the parts order may be implemented to sum them. That is, after searching all the parts that can be replaced for one part, the sales volume X 5 of the parts, the product information number X 3 of the parts, and the number of vendors X 2 are added to each of the searched parts, and then the sums of the two parts are compared. The same compatible parts evaluation score calculated for the two parts is given.

Next, as an example of the evaluation evaluation algorithm, the members and sellers of the member and seller DB 13f stored in the storage unit 13 are classified into A, B, and C grades, respectively, and the parts evaluation algorithm and the phrase recovery evaluation algorithm. The compatible parts evaluation scores of the two comparable parts calculated by the other evaluation algorithm, the price evaluation algorithm, and the performance evaluation algorithm are X 3 for Class A members and X 2 for Class B members. In the case of a C-class member, X 1 can be implemented to give a compatible parts evaluation score.

Here, as an example of classifying a member's grade, a method of evaluating on the basis of online activity through the parts sales server 10 of a member who is already subscribed may be applied, and a parts sales server ( 10) is implemented in detail as an example, the user's use, shopping story, after-sales, comments on parts, Q & A reviews, discussion boards, free board, PC assembly recommendation, PC assembly, DIY (Do It Yourself) & Tuning, Overclock Information Exchange, Notebook Experience Group, Your Own Know-how about Post Information, Writing, Comments, Technical Questions, etc. It is calculated by integrating the retrieval and the like, which are classified by various classification methods by the service provider.

In the case of the sale site of the software of the game, the member classification criteria as described above are game screenshots, writing on game videos, comments, the number of recommendations, the number of recommendations, etc., and in the case of automobiles, writing of car courses, test cars, etc. , Comments, number of recommendations, number of times of recommendation, etc.In the case of writing, commenting, number of times of recommendation, number of times of recommendation, and blog service for daily general posts, blog activity is used as a standard and applied to various fields. do.

Next, if a purchaser evaluation algorithm has purchased a part in the past, the purchaser evaluation algorithm detects the corresponding information from the parts order DB 13d, reflects the information in the membership classification, and gives each of the above-mentioned compatible parts evaluation scores. The weighted score is assigned to the compatible parts evaluation scores calculated by the algorithm and assigned to the two comparable parts. For example, after classifying the number of existing parts orders of the parts purchasing member into A, B, and C grades, It may be a method of assigning an evaluation score by X 3, X 2, X 1 for each grade to the compatible parts evaluation score given by the algorithm for assigning the compatible parts evaluation score of the.

Next, the feedback evaluation algorithm of another member assigns the compatible parts evaluation score of the other member as the compatible parts evaluation score of the corresponding parts for each part of the parts order stored in the parts order DB 13d of the storage unit 13. That's the way it is. At this time, other members may be members, sellers, visitors who do not register.

Next, the price valuation algorithm is implemented to assign a favorable part evaluation score according to the price difference between the parts of the parts order and the replaceable parts.

Next, the performance evaluation algorithm assigns the compatible parts evaluation score according to the performance difference with the finished product when the replaceable parts are applied to each part in the finished product manufactured by the parts of the parts order. At this time, the target of the performance evaluation is the data for the score evaluation is the data evaluated by the pre-assembled products such as boot speed, internal data processing speed, power consumption, system stability, etc. for the assembly PC. On the other hand, in the case of products other than the assembled PC, the performance evaluation target may be calculated by items such as durability and ease of maintenance according to each product characteristic. In this case, it is preferable that each component is given the same score.

The above-described evaluation algorithms may be applied independently or overlapped with each other. An example of the overlapping application may be a combination of a member evaluation algorithm with another member evaluation algorithm, a price evaluation algorithm, and a performance evaluation algorithm. That is, the compatible parts evaluation scores of the parts calculated by each evaluation algorithm may be overlapped by multiplying the weights for each grade of members, and only specific algorithms among the above-described algorithms may be selected and applied to assigning the compatible parts evaluation scores.

Next, the compatible parts evaluation unit 14 of the parts sales server 10 of FIG. 1 is compatible for each part to be sold using the compatible parts evaluation criteria algorithm stored in the compatible parts evaluation criteria DB 13e of the storage unit 13. The part evaluation score is given to the parts evaluation by the parts evaluation algorithm, the membership evaluation by the member evaluation algorithm, the purchase count evaluation by the purchase recovery evaluation algorithm, the other member feedback evaluation by the other member evaluation algorithm, and the price evaluation algorithm. At least one of the evaluation, such as price evaluation by the performance evaluation algorithm, performance evaluation by the performance evaluation algorithm is performed to generate a compatible parts evaluation score for the parts that can be replaced with each other.

The parts sales server 10 of FIG. 1 having the above-described configuration of FIGS. 1 and 2 includes a purchaser terminal 20, a seller terminal 30, and a member terminal 40 via a communication network 50 as shown in FIG. 3. It is configured on the Internet so that it can be accessed through the communication network 50, and recommends the optimum parts that are compatible when ordering parts to the buyers who purchase parts by connecting to the parts purchase server 10 through the communication network (50).

 At this time, it can be configured to output the feature information of the recommended parts, in this case, the example of the output of the feature information of the output of the memory "EK6400 memory has a heat sink." With built-in graphics capabilities. " And the like.

5 to 7 is a recommendation for parts for an online order comprising an Internet service unit 11, a component recommendation unit 12, a storage unit 13, compatible component evaluation unit 14 of the present invention As a flowchart illustrating a process of a component recommendation method for an online order by the system, a process of the component recommendation method for an online order of the present invention will be described in more detail with reference to FIGS. 1 to 7.

First, FIG. 5 shows the entire process of the component recommendation method for on-line order of the present invention, and the above-described algorithms for evaluating the compatible parts for the respective parts forming the finished product by the compatible parts evaluation unit 14 are duplicated. Alternatively, by selectively applying the compatible parts evaluation score for each of the parts according to the compatibility between the parts and store them (S10).

Thereafter, when the buyer connects to the parts sales server 10 through the communication network 50 using the purchaser terminal 20 to purchase parts for manufacturing the finished product, the Internet service unit 11 enters the intro screen to the purchaser terminal. As such, the interface screen set as the initial screen is transmitted to the purchaser terminal 20 and output. When the initial screen is output to the purchaser terminal 20, the purchaser performs an appropriate authentication procedure so as to perform a purchase and logs in to the parts sales server 10 (S20).

When the purchaser selects the purchase of parts in the logged-in state as described above, the Internet service unit 11 of the parts sales server 10 may select a part with the purchaser terminal 20 to create a parts order. The interface screen to be transmitted and outputted, the buyer selects the parts through the interface screen output to the buyer terminal 20 to create a parts order (S30).

When the purchaser creates a part order, the parts recommendation unit 12 is driven to extract parts from the storage unit 13 that are optimally compatible with the part order entered by the purchaser (S40).

After the search for the best compatible parts, it is determined whether the part having the best compatible parts evaluation score is not the part to be sold (S50).

If the result of the determination is not a part to be sold, the component recommendation unit 12 searches the storage part again, searches a compatible part evaluation score, and then determines whether the part is to be sold again, and recommends it as a replacement part when the part is sold ( S60).

The S40 and S60 processes may be configured to output the feature information of the recommended component in performing the optimum compatible component recommendation and the replacement component recommendation. In this case, the example of the outputted component feature information may be referred to as "EK6400 memory. Has a heat sink. "In the case of the motherboard," The D & D P35 board has built-in graphics capabilities. " And the like.

When the parts recommendation procedure is completed by the above-described process, it is determined whether there is an input of a purchase order or a reorder creation command for reordering by the purchaser (S70).

If it is determined that the reorder command is input, the process returns to step S30 and the process is performed again. In contrast, when a purchase selection signal is input, a purchase execution procedure such as online payment and shipping address registration is performed (S80).

When the purchase execution procedure is completed by the above-described processing, the purchase history is stored in the storage unit and the processing is terminated (S90).

The present invention is not limited to the above-described embodiments of the present invention, and may be variously modified and implemented within the scope of the technical idea and the claims of the present invention.

1 is a block diagram of a parts sales server 10 as an embodiment in which the online order evaluation system of the present invention is configured as a server;

2 is a block diagram of the storage unit 13 of the parts sales server 10 of FIG.

3 is a view showing a state in which the parts sales server 10 of FIG. 1 is implemented on the Internet through a communication network;

4 is a diagram illustrating an example of an interface screen provided by an internet service unit 11;

5 to 7 are flowcharts showing the processing procedure of the online order evaluation method of the present invention.

Description of the main symbols in the drawings

10: Parts Sales Server

11: Internet service department 12: parts recommendation department

13: storage unit 14: compatible parts evaluation unit

20: buyer terminal

30: seller terminal 40: member terminal

50: network

Claims (14)

An internet service unit for providing an online purchase service of a buyer connected through a communication network; A component recommending unit for recommending an optimum compatible part by referring to a compatible parts evaluation score for the parts included in the purchase order of the parts order inputted through the Internet service unit; A storage unit storing part information including a compatible part evaluation score and at least one compatible part evaluation standard information among a part evaluation, a member evaluation, a purchase count evaluation, and another member opinion evaluation for recommending an optimum compatible part for the parts; A compatible parts evaluation unit for calculating a compatible parts evaluation score for the parts compatible with the parts included in the parts order details using one or more compatible parts evaluation criteria information stored in the storage unit, and storing the compatible parts evaluation scores in the storage unit; Component recommendation system for online ordering, characterized in that configured to include. The method of claim 1, wherein the storage unit, An internet service database (Internet service DB) for storing software and data information for an internet service including a component recommendation; A commodity database (commodity DB) that stores information on commodities or finished products sold online; A parts database (part DB) for storing part information constituting each product or finished product and a compatible part evaluation score for the part; A parts order database (part order DB) for storing an order form for previously performed parts; A compatible parts evaluation criteria database (compatible parts evaluation criteria DB) for storing compatible parts evaluation criteria information for calculating a compatible parts evaluation score for each compatible part; And a member and seller database (member and seller DB) for storing information of members and sellers. The system of claim 2, wherein the component recommendation unit recommends an optimum compatible component based on a compatible component evaluation score pre-registered in the component DB. The system of claim 3, wherein the component recommendation unit is configured to recommend a replacement part for sale when the optimum compatible part is not for sale. The system of claim 1, wherein the component recommendation unit is configured to output component feature information of a recommended component. delete The method according to any one of claims 1 to 5, wherein the compatible component evaluation unit, A price evaluation for giving a compatible parts evaluation score for each of the predetermined grades according to the price difference with the replaceable parts for each of the parts of the parts order details; A performance evaluation for giving a compatible parts evaluation score by comparing the performance of the parts with other parts that can be replaced with respect to the finished products corresponding to the parts of the parts order details; And further performing at least one or more of the evaluations to assign the evaluation scores to the compatible evaluation scores for the parts. In the parts recommendation system for online ordering comprising an Internet service unit, a component recommendation unit, a storage unit, and a compatible component evaluation unit, The compatible parts evaluator evaluates one or more compatible parts among the parts stored in the storage, a member evaluation, a member evaluation, a purchase count evaluation, another member opinion evaluation, a price evaluation, and a performance evaluation with respect to compatible parts among the parts stored in the storage. A compatible part evaluation information storage step of storing a compatible part evaluation score generated by performing evaluation using reference information as compatible part evaluation information; A part order receiving step of receiving an order form through a part order form form provided to the online access buyer by the Internet service unit; And a component recommendation step of comparing the parts of the order received in the component order receiving step with the compatible component evaluation information to detect an optimum compatible part and recommending the detected compatible part. How to recommend parts for online ordering. delete The method of claim 8, wherein the part recommendation step, An optimum compatible part detection step of detecting a part having the highest compatible part evaluation score in the purchaser's parts order as an optimum compatible part; An optimum compatible part recommendation step of outputting a part detected in the optimum compatible part detection step as a recommended part; A purchasing decision step of allowing a buyer to select whether to purchase a part or rewrite a part order for the parts recommended in the optimum compatible part recommendation step; When the purchaser selects a purchase in the purchase decision step, a part order storing step of storing parts order information after performing a payment procedure for purchasing parts according to the order details; Recommended way. The method of claim 10, wherein the recommendation of the optimum compatible part outputs feature information of a recommended part. The method of claim 10, wherein the detecting of the optimum compatible part comprises: selecting a part that is first selected among the parts of the part order as a reference part, and then selecting parts having the highest compatible part evaluation score among parts compatible with the reference part. Component recommendation method for an online order, characterized in that for detecting the. The method of claim 8, wherein the component recommendation step comprises: A sales target determination step of determining whether to sell the parts included in the received parts order after the parts order receiving step; And a replacement part recommending step of recommending a sale target part having the same specification as a replacement part when it is determined that the sale target is not a sale target. The method of claim 13, wherein the recommendation of the replacement part outputs feature information of the recommended part.

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