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KR-102710307-B9 - METHOD FOR PROVIDING ELECTRONIC BIDDING INFORMATION ANALYSIS SERVICE USING ELIGIBILITY EXAMINATION ENGINE

KR102710307B9KR 102710307 B9KR102710307 B9KR 102710307B9KR-102710307-B9

Abstract

A method for providing an electronic bidding information analysis service using a qualification evaluation engine is provided, comprising the steps of: configuring the qualification evaluation engine based on evaluation criteria and evaluation methods including an updated version by contracting authority with updated evaluation elements for each contracting authority within the bidding announcement, and an updated version by license; receiving license information and company information from a user terminal; extracting bidding announcements in which the license information and company information from the user terminal satisfy the evaluation criteria within the qualification evaluation engine; and transmitting the extracted bidding announcements to the user terminal.

Inventors

  • 조충환

Assignees

  • 주식회사 비드스코어

Dates

Publication Date
20260507
Application Date
20211027

Claims (10)

  1. In a method for providing analysis services executed on an analysis service providing server, A step of configuring a qualification assessment engine based on evaluation criteria and evaluation methods that include updated versions for each client and updated versions for each license, which update the evaluation elements for each client within the bid announcement; Step of receiving license information and company information from a user terminal; A step of extracting bid announcements in which the license information and company information of the above user terminal satisfy the evaluation criteria within the above qualification assessment engine; A step of transmitting the extracted bid announcement to the user terminal; and If the license information and company information of the user terminal input into the qualification screening engine do not satisfy at least one evaluation criterion, the method includes the step of displaying a message regarding the non-satisfaction of at least one evaluation criterion. The above updated versions for each ordering party are, It includes evaluation factors including performance and management status, and The above performance is a score calculated based on the maximum score standard and score calculation standard, and The above management status is a score calculated based on the maximum score standard and score calculation standard, and The renewal versions for each license mentioned above are, Including the earnings announcement date, the announcement date of average ratios by industry, and whether mutual entry is possible through license coding, The above mutual entry status is based on whether the business sector permits mutual market entry or whether a license permitting mutual market entry is held, and The above updated version is, Considering that the figures and scope reflecting the amended State Contract Act differ for each bid announcement, and that the elements to be evaluated vary by contracting authority, it refers to an updated version of each evaluation element for each bid announcement. The step of receiving license information and company information from the above user terminal is, The above license information includes the business period, construction capacity evaluation amount, and performance amount, and The above company information includes management status including credit rating, renewal period, debt ratio and current ratio, and the status of technical personnel 보유, and The message regarding the failure to meet at least one of the above evaluation criteria is, Includes uncalculated, eligibility verification, insufficient score, and unavailable for standalone, The step of extracting bid announcements in which the license information and company information of the above user terminal satisfy the evaluation criteria within the above qualification screening engine is, Using deep learning technology, 15 multiple preliminary prices are randomly generated within a range of ± 3% of the construction cost determined by the client; when each construction company submits a bid, two of the generated multiple preliminary prices are selected; after the bidding is completed, an estimated price is determined based on the four multiple preliminary prices most frequently selected; and the company that submitted the bid closest to the lower end of the estimated price is selected. By analyzing the randomness of this open competitive bidding method, patterns are identified, and bid amounts related to the winning bid amount are predicted and provided to the user terminal. After the step of transmitting the extracted bid notice to the user terminal, It further includes a step of proceeding with the price calculation process of the above-extracted bid announcement, and The above price calculation process calculates the price based on the value of A and the net construction cost, and The above value of A is the sum of the National Pension, Health Insurance, Retirement Severance Pay, Long-term Care Insurance for the Elderly, Industrial Safety and Health Management Costs, and Safety Management Costs, and After the step of receiving license information and company information from the above user terminal, It further includes a step of outputting a result report generated by the above-mentioned qualification assessment engine, and The above result report is, It is a report that compares scores based on items such as evaluation criteria, evaluation license, evaluation ratio, construction experience, management status, credibility, additional points, and other matters with the evaluation criteria, and The above construction experience includes points based on the actual amount and the recognition period, and The above management status includes the average current ratio evaluation criteria, the average debt ratio evaluation criteria, and scores based on the operating period, and The step of configuring the above-mentioned qualification screening engine is, In order to locate attached files and determine the criteria within each bid announcement, a macro bot is used to access the site and set the location coordinates (X,Y) of the cell corresponding to the bid announcement within the site according to the resolution; after clicking the cell at the location coordinates and pressing Enter to search for attached files, the searched attached files are downloaded; after executing the attached files, the keyword "qualification review" is searched for, and the symbol "" indicating the law is found to extract the criteria; then, the calculation formulas or evaluation factors already mapped to the criteria are applied to the qualification review engine to update the version. The step of transmitting the extracted bid announcement to the user terminal is: A method for providing an electronic bidding information analysis service using a qualification evaluation engine, characterized by transmitting to a user terminal an estimated price calculated from the multiple preliminary prices predicted by at least one artificial intelligence algorithm that has been trained and tested on big data built as a winning bid information database, along with the above-mentioned bid announcement and the above-mentioned bid amount.
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Description

Method for Providing Electronic Bidding Information Analysis Service Using an Eligibility Examination Engine The present invention relates to a method for providing an electronic bidding information analysis service using a qualification screening engine. It provides a method that updates the qualification screening engine by each contracting authority and license, and then provides guidance on whether a participating company can pass the qualification screening and, if ineligible, the reason for ineligibility. Generally, when the government or public institutions procure goods or implement public projects, they select the bidder with the lowest price through competitive bidding. However, various forms of procurement auctions are also used, such as determining the winning bidder by considering factors other than price, such as the company's capabilities or the quality of goods and services. In Korea, the method of selecting the winning bidder through competitive bidding is stipulated in Article 42, Paragraph 1 of the Enforcement Decree of the Act on Contracts to Which the State is a Party. According to this provision, for competitive bidding in public procurement that imposes a burden on the national treasury, the qualification review system is applied with the utmost priority. This system determines the winning bidder by evaluating contract performance capabilities in the order of the lowest bids submitted below the estimated price. This method determines the winning bidder by comprehensively evaluating scores based on non-price factors, such as production capacity, and price scores based on the bid price. At this time, a method was researched and developed to analyze whether a company is eligible to participate based on eligibility evaluation criteria upon receipt of a bid announcement. In this regard, prior art, specifically Korean Registered Patent No. 10-1517966 (published May 7, 2015) and Korean Published Patent No. 2007-0089326 (published August 31, 2007), automatically analyzes and provides to companies the bid participation status—including eligibility, requirement for agreement, or ineligibility—based on eligibility evaluation criteria. To provide real-time analysis information on bid participation for each bid announcement, it collects company information including region, license, construction capacity evaluation amount, construction experience, operating period, and credit rating; determines eligibility for eligibility evaluation using performance evaluation or search terms in the bid announcement; calculates average standard values for eligibility evaluation items, including construction experience and management status, for all ongoing bid announcements; and determines eligibility for agreement For joint contracting cases, a configuration is disclosed that additionally calculates the standard construction capacity evaluation amount, calculates the performance value of each company for the evaluation items of each bid announcement subject to qualification review, and calculates the evaluation result by comparing the company's performance value and the evaluation standard value for each evaluation item; and a configuration is disclosed that, after entering user information for a qualification score diagnosis request on a user terminal, runs a qualification diagnosis report program to determine whether the user is eligible to participate in the bid. However, the aforementioned configuration only provides the results of the eligibility evaluation and fails to inform the user which specific items were underscored or deemed ineligible in cases of failure to meet requirements or satisfy the score. Furthermore, since the licenses, number of technicians, and evaluation criteria required for each bid announcement are not identical, evaluations must be conducted according to different standards for each announcement; however, the aforementioned configuration does not disclose a structure for applying these different standards. Accordingly, research and development are required for a platform that utilizes an eligibility evaluation engine to input user information of participating companies, determines eligibility, and presents the relevant items to the user if they fall short or are ineligible. FIG. 1 is a diagram illustrating an electronic bidding information analysis service provision system using a qualification screening engine according to an embodiment of the present invention. Figure 2 is a block diagram illustrating an analysis service provider server included in the system of Figure 1. FIGS. 3 and 4 are drawings for explaining an embodiment in which an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention is implemented. FIG. 5 is an operation flowchart illustrating a method for providing an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the