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KR-102765449-B9 - METHOD FOR PROVIDING DIAGNOSING SERVICE AND SUBSCRIBING SERVICE USING BIDSCORE

KR102765449B9KR 102765449 B9KR102765449 B9KR 102765449B9KR-102765449-B9

Abstract

The present invention relates to a method for diagnosing bidding tendencies and providing a subscription service using bid scores, which generates a bid score for a period or company selected by a user and provides information necessary for bidding utilizing the bid score to a user who requires analysis of electronic bidding information. The method involves constructing a winning bid information database by collecting data including at least one participating company name and multiple preliminary prices from at least one winning bid result, receiving a bid score subscription request from a user terminal including an announcement number and a predetermined subscription period information, collecting at least one participating company name that participated in the said announcement number, extracting multiple preliminary prices previously mapped and stored to at least one participating company name to set a bid score, analyzing the user's bidding tendencies based on the set bid score, calculating an optimal bid amount such that a bid score of 1.5 to 2 times the average bid score is produced according to the results of the bidding tendency analysis, and providing the set bid score information and the calculated optimal bid amount. By means of this method, the invention can suggest improvement methods based on bidding tendencies to increase the probability of winning a bid in a desired bidding announcement. The effect of providing a method for diagnosing bidding tendencies and offering subscription services is derived.

Inventors

  • 조충환

Assignees

  • 주식회사 비드스코어

Dates

Publication Date
20260512
Application Date
20220411

Claims (10)

  1. In a method for diagnosing bidding tendencies and providing subscription services using bid scores executed on a service provider server, A step of constructing a winning bid information database by collecting data including at least one participating company name and multiple preliminary prices from at least one winning bid result; A step of receiving a bidscore subscription request from a user terminal, including an announcement number and information on a predetermined subscription period; A step of collecting the name of at least one participating company that participated in the above announcement number; A step of extracting multiple preliminary prices that are already mapped and stored to at least one participating company name and loading 1,365 multiple preliminary prices; A step of setting the number of multiple reserve prices obtained from the user terminal among the above 1,365 multiple reserve prices as the bid score; A step of analyzing the user's bidding tendency based on the bid score set above; A step of calculating an optimal bid amount such that a bid score of 1.5 to 2 times the average bid score is calculated based on the above bid tendency analysis results; and The method includes the step of providing the set bid score information and the calculated optimal bid amount to the user terminal in response to a bid score subscription request during the aforementioned predetermined subscription period; The step of setting the above bead score is, A method for diagnosing bidding tendencies and providing a subscription service using a bid score, characterized by setting the number of multiple reserve prices obtained from the user terminal as the bid score, which corresponds to the number of multiple reserve prices located between the highest reserve price of a specific company in the winning bid ranking and the highest reserve price of the next-ranked company among the 1,365 multiple reserve prices mentioned above.
  2. In Article 1, The above-mentioned analysis step is, A method for diagnosing bidding tendencies using bid scores and providing a subscription service, wherein, in the step of constructing the above-mentioned winning bid information database, the past bidding history of at least one user is collected from the database constructed, and bid scores are identified for announcements included in the collected past bidding history, and the correlation with the average bid score is provided as an analysis result.
  3. In Article 2, The above-mentioned analysis step is, A method for diagnosing bidding tendencies using bid scores and providing a subscription service, based on the previously collected bidding history, classifying bidding tendencies into at least one score grade according to the difference between the optimal bid amount calculated for each announcement included in the past bidding history and the actual bid amount.
  4. In Article 2, The step of calculating the optimal bid amount above is, A method for providing a bid propensity diagnosis and subscription service using a bid score, which calculates the optimal bid amount by combining variables regarding industry, region, performance, number of bids, winning bid results, and bidding propensity.
  5. In Article 1, The steps provided above are, A method for providing a bid tendency diagnosis and subscription service using bid scores, comprising providing bid score-related statistical information including at least one of an average bid score, a first-place bid score, a bid score of a specific company, information on the trend of bid score changes over a predetermined period, and a list of a predetermined number of high-scoring bid score companies.
  6. In Article 1, The step of receiving the above-mentioned bidscore subscription request is, Further receiving predetermined period information from the above user terminal, and The steps provided above are, A method for providing a bid tendency diagnosis and subscription service using bid scores, which provides bid score statistics of bid participation announcements in which the user participated during the aforementioned input period.
  7. In Article 1, The steps provided above are, A method for providing bidding tendency diagnosis and subscription services using a bid score, which provides bidding-related statistical information including at least one of a first-ranked bidder list, the number of participating bids, the probability of competition in participating bids, the distribution of estimated prices in participating bids, the distribution of winning bids in participating bids, and the distribution of participation in participating bids for a bid with a bid score subscription request number.
  8. In Article 1, The step of receiving the above subscription request is, Receive a BidScore subscription request including subscription period setting information, and The steps provided above are, A method for providing a bid tendency diagnosis and subscription service using a bid score, wherein bid score information is provided to the user terminal at each subscription period included in the bid score subscription request.
  9. In Article 1, The above user terminals are multiple user terminals of different participating companies, and After the step of receiving the BidScore subscription request, A step of securing the bid prices entered by the plurality of user terminals for the bid of the above announcement number, and counting the number of participating companies of the plurality of user terminals; A step of calculating the average bid score by dividing 1365 by the number of the aforementioned counted participating companies; A step of setting the number of multiple reserve prices secured by the first-ranked participating company as the first-ranked bid score when it matches or is immediately above the lower limit of the winning bid among the above 1,365 multiple reserve prices; and A method for diagnosing bidding tendencies using bid scores and providing a subscription service, further comprising the step of visualizing the above average bid score and the above first-ranked bid score.
  10. In Article 1, The step of calculating the optimal bid amount above is, A method for diagnosing bidding tendencies and providing a subscription service using a bid score, wherein the estimated price (Reservation Price) calculated from the above multiple preliminary prices is predicted by at least one artificial intelligence algorithm trained and tested on big data built in the above winning bid information database.

Description

Method for Providing Bidding Tendency Diagnosis and Subscription Service Using BidScore The present invention relates to a method for diagnosing bidding tendencies using bid scores and providing a subscription service, and more specifically, to a method for diagnosing bidding tendencies using bid scores and providing a subscription service to a user who requires electronic bidding information analysis, by generating a bid score for a period or company selected by the user and providing information necessary for bidding utilizing the bid score. In public works projects funded by state resources, the estimated price serves as the basis for contract conclusion and execution, and has a significant impact on ensuring the quality of the work and revitalizing the contractor's business conditions. The estimated price refers to a value prepared and kept on file in advance prior to bidding or contract conclusion to serve as a standard for determining the successful bidder and the contract amount, as stipulated in Article 8 of the Enforcement Decree of the State Contract Act. There are two methods for determining the estimated price: the single preliminary price method and the multiple preliminary price method. The multiple preliminary price method is a method in which multiple preliminary prices are generated based on a base amount, and the estimated price is determined by calculating the arithmetic mean of several preliminary prices selected by lottery. Currently, Korean government agencies, the Public Procurement Service, and public institutions apply a multiple preliminary price system rather than a single preliminary price system. This system is implemented to prevent the estimated price from being known in advance, as knowing the estimated price beforehand would give a bidder a significant advantage. At this time, research and development were conducted on methods for automatically bidding in the public procurement market by analyzing electronic bidding methods and big data. In this regard, prior art Korean Patent Publication No. 2003-0030140 (published April 18, 2003) and Korean Patent Publication No. 2017-0069907 (published June 21, 2017) disclose configurations that simultaneously process electronic bidding and document bidding using the Internet in e-commerce between the government, public institutions, and companies, enable the automatic transfer of bidding-related fees and bid security deposits through authentication by an accredited certification authority, and allow the bidding process conducted by the Public Procurement Service—including bidding information, specification drafting, joint venture agreements, bid documents, and announcements—to be executed through authentication and security. Additionally, configurations are disclosed that collect data from a bidding server, calculate the bidding time and predicted bid price based on big data when option information is selected on a user terminal, and provide an estimated bid price. However, the former holds no significance beyond converting offline bidding to electronic bidding, and the latter, composed of predictions regarding advertising exposure rankings or bid prices, is far removed from public procurement bidding. Prior to the 2000s, contract managers created 10 preliminary prices and determined the estimated price by calculating the arithmetic mean of three randomly selected from them on the day of bidding. However, since 2000, with the advancement of information technology, the Public Procurement Service and various ordering agencies have established their own electronic bidding systems, allowing contract managers to automatically calculate the estimated price through these systems. Most ordering agencies adopt a method where 15 preliminary prices are randomly selected within a certain range centered on a base amount, and the estimated construction price is determined by calculating the arithmetic mean of four values randomly drawn from among them on the day of bid opening. Accordingly, research and development of a platform capable of counting the number of matching multiple preliminary prices among participating companies and providing this as a bid score is required. FIG. 1 is a diagram illustrating a method for diagnosing bidding tendencies and providing a subscription service using a bid score according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating the configuration of a service providing server according to an embodiment of the present invention. FIGS. 3a to 4d are illustrative diagrams for explaining a method for diagnosing bidding tendencies and providing a subscription service using a bid score according to an embodiment of the present invention. FIG. 5 is a flowchart of a method for diagnosing bidding tendencies and providing subscription services using a bid score according to an embodiment of the present invention. It should be noted that the technical terms used in this invention are used merely to