KR20170141166A - Platform System for Matching between Bidding Expert and Bidding Participant and Method thereof - Google Patents

Abstract

The present invention relates to a matching platform system which matches a bidding expert and a bidder, and by which the matched expert provides the bidder with a predicted contract price as a bidding price, and to a method thereof. The matching platform system according to the present invention comprises: an expert management unit for setting and receiving a license and a region of a bid in which an expert can participate, and managing set information; a simulation bid unit for registering and receiving a predicted contract price of the expert for a simulation bid; an expert matching unit for matching the expert who corresponds to the license and the region of the bid of a bidder, and has a ranking higher than a preset reference ranking, registering and receiving the predicted contract price from the matched expert, and providing the registered predicted contract price as a bidding price of the bidder; and an expert ranking unit for calculating a successful bid rate for the simulation bid, and a predicted contract price registered in the bid of the bidder, and determining the ranking of the calculated successful bid rate. According to the present invention, a bidding expert is introduced to a bidder by matching, so a predicted contract price predicted by the expert is provided for the bidder, and the bidder participates in a bid with the provided predicted contract price of the expert to increase the probability for a successful bid.

Description

Field of the Invention < RTI ID = 0.0 > [0006] < / RTI > A Platform Platform for Matching Bidding Expert and Bidding Participant and Method &

The present invention relates to a matching technique of a bidding expert, and more particularly to a matching platform system and method for fostering a bidding expert, evaluating the qualification of the bidding expert, and matching the bidding expert with the bidding participant.

Public bidding (for example, G2B), which is organized by government offices such as the Public Procurement Service (PPS) and infrastructure, is an electronic bidding system that uses a random number system. The random number system gives bidders a fair chance to become a winner. Public bidding is a method in which the planned price of the winning bid is randomly selected and the bidder who is the same or closest to the planned price becomes the winning bidder.

The conventional auction prediction system based on the prediction algorithm performs prediction by analyzing patterns of past bid information and auction history, but it is not enough to predict a bid price based on a random number system.

However, the successful bid rate by the bidding expert is superior to the conventional auction prediction system. This is because experts analyze wicked information according to their own specialized experience and know-how, and utilize the human ability to predict and expertise that can not be analyzed by the mechanical ability of the winning bid prediction system.

 For example, there is a bidding specialist who shows excellent winning results according to a specific region and a specific license. Here, the bidding specialist is a person who sets up a service for providing a bid price (rate of assessment) to a bid participant. The amount of the winning bid predicted by the experts is analyzed from the past vending information, and not only the bid amount of money with a high winning bid rate is predicted by the winning bid amount, but also an arbitrary amount of money interval which can not be predicted from the past winning bid pattern can be designated and can be predicted by winning bid amount have. On the contrary, if a professional predicts a winning bid amount based on past statistical information, the bidder's competition is predicted to be low. Therefore, Predict.

Therefore, there is a need for a system that matches bidders with excellent bidding results to those who participate in public bidding.

Korean Patent Laid-Open No. 10-2009-0026912 (March 16, 2009)

It is an object of the present invention to provide a platform system and a method for matching a bidding expert having excellent bidding achievement with a participant participating in a public bidding.

Another object of the present invention is to nurture a bidding expert, evaluate the qualifications and rankings of the developed bidding expert, and allow the bidding participant who received the information of the evaluated expert to select a suitable expert.

According to an aspect of the present invention, there is provided a matching platform system of a bidding expert and a bidding participant, the bidding expert system comprising: a specialist management unit for setting a license and an area for bidders in which experts can participate; A simulated bidding unit for registering a predictor of a successful bidder for a simulated bid request of an expert; An expert matching unit for matching the bidders' bids with the licensees and the regions, the experts having rankings higher than the set reference rankings, registering the winning bids from the matched experts, and providing the registered bidding predictions to the bidders; And an expert ranking unit for calculating a winning bid rate for the bid predictions and the winning bid estimates registered in the bidding of the bidder, and ranking the calculated winning percentage.

In the present invention, the matching platform system may further include a database (DB) in which actual bidding information is collected and stored, and the simulation bidding unit manages bidding information of the DB, Process wicket of simulation bid.

Preferably, the expert ranking unit comprises:

The following equation

N1 = Participation  Number of companies X ("winning bid" = 1 or "missing" = 0)

N2 = Participation  Number of companies X ("winning bid" = 1 or "missing" = 0)

N3 = Participation  Number of companies X ("winning bid" = 1 or "missing" = 0)

...

Nk = participation  Number of companies X ("winning bid" = 1 or "missing" = 0)

P = Σ Nk / n * 100

P = Winning rate ( % )

n = number of criteria for calculating professional rankings

To calculate the winning rate (P).

In addition, the expert matching unit may perform the simulated bidding more than the standard number of ranking calculation after the expert is initially registered as a specialist in the preliminary expert, match the bidders with the ranked experts of the auction rate, Save to DB.

Further, the expert matching unit automatically matches and matches the experts to the bids selected by the bidders or the entire bids collected to match the license and the region set by the bidders, or matches the bidders' selected experts with respect to the bids.

Further, the expert matching unit limits the total matching frequency of individual experts to a preset frequency or less, and matches the expert to the bidder's bid within a limited matching frequency.

Here, according to the automatic matching request of the bidder, experts having rankings higher than the setting rankings are selected, and the selected experts are automatically matched to the bidders.

According to one aspect of the present invention, the matching platform system is configured to receive a request for qualification of an expert, register applicant information as preliminary expert information, provide step-by-step simulated bidding for registered preliminary experts, , A preliminary expert management unit for registering the qualifications of the experts.

Here, the preliminary expert management unit compares the condition information of the number of bids and the auction rate set for each individual step of the simulation bidding with the simulation bidding information of the preliminary expert, and the preliminary expert satisfying the condition is compared with the preliminary expert .

According to another aspect of the present invention, the matching platform system generates a distribution of the winning bid estimates of the experts who bid on the simulation bids and the bidding predictions registered by the specialists at the request of the member company, to the bidders, And a simulated bid distribution provider for providing a winning bid estimate of the expert selected in the distribution chart according to a bid request of the bidder and for setting a part of the purchase amount to an expert.

According to an aspect of the present invention, there is provided a matching platform method for a matching platform executed by a matching platform system, the matching platform method comprising the steps of: (a) setting a license and an area of a bid An expert management step of managing the set information; (b) a simulated bidding stage in which an expert's bidder's predictor is registered for an expert's simulated bid request; (c) an expert who matches the bidders 'bids with licenses and regions, matches the experts with rankings higher than the set reference rankings, registers the winning bidding predictors from matching experts, and provides the registered bidding predictors at the bidders' bids Matching step; And (d) an expert ranking step of calculating an auction rate for the auction bidding and the auction winning bid registered in the bidding of the bidders, and ranking the calculated winning bid rates.

The present invention can contribute to creating an innovative bidding ecosystem that can win-win by matching bidders with excellent bidding results to participants participating in public bidding.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate preferred embodiments of the invention and, together with the description of the invention below, And should not be construed as interpretation.
1 is a schematic block diagram of a matching platform system according to an embodiment of the present invention.
FIG. 2 is a schematic internal structure of the bid matching server of FIG. 1. FIG.
FIG. 3 is an exemplary view of a number of bids / number of bids / licenses collected by the bid matching server of FIG. 1; FIG.
FIG. 4 is a diagram illustrating an example in which the bid matching server of FIG. 1 manages upgrading of a preliminary expert.
FIG. 5 is a diagram illustrating an example in which the bid matching server of FIG. 1 calculates the winning rate of an expert.
6 is an exemplary view of expert information managed by the bid matching server of FIG.
Figure 7 is an illustration of an expert distribution of the simulated bidding provided by the bid matching server of Figure 1;
Figure 8 is a schematic flow diagram of a matching platform method in accordance with an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary terms, and the inventor should appropriately interpret the concepts of the terms appropriately It should be interpreted in accordance with the meaning and concept consistent with the technical idea of the present invention based on the principle that it can be defined.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention and do not represent all the technical ideas of the present invention. Therefore, It is to be understood that equivalents and modifications are possible.

1 is a schematic block diagram of a matching platform system 1 according to an embodiment of the present invention.

The matching platform system 1 according to an embodiment of the present invention includes a bid matching server 2 for matching an expert with a bidder (bid participant) using a wired or wireless network. The matching platform system 1 may further include an expert terminal 3 for predicting and providing a bid price to participate in the bid by the bidder and a bidder terminal 4 receiving the bid price predicted by the expert.

The wired and wireless networks in the present invention typically include all communication networks capable of data communication using various protocols such as a mobile communication network, a wired and wireless public network such as the Internet, and a private network.

The bid matching server 2 provides the bid matching service of the present invention to the expert terminal 3 and the bidder terminal 4 connected to the home page 200. [ The home page 200 may support desktop and mobile connections. In addition, the home page 200 may provide a bid matching service for an application installed in a mobile terminal.

The bid matching service fosters experts, estimates the winning rate of the experts by calculating the winning rate, calculates the ranking of the winning bids by the experts, matches the experts to the bids of the bidders using the calculated ranking information, And provides the bidder with the winning bid estimate. Then, the bidder participates in the bid with the bidder of the expert's winning bid.

The expert terminal 3 corresponds to a computer terminal or a smart terminal capable of accessing the home page 200 and does not have any particular restriction as long as the terminal is an Internet connection. After the user accesses the home page 200 by using the user terminal, he / she is qualified as a preliminary expert when applying for an expert qualification. For the sake of simplicity, it is explained below that the specialist applies for the expert qualification as the expert terminal (3) and receives the qualification of the preliminary expert. The expert of the expert terminal 3 participates in the simulated bidding provided by the home page 200 as the qualification of the preliminary expert, and when the plurality of steps are passed all, the expert of the expert terminal 3 is qualified as the promoted expert in the preliminary expert. When promoted to an expert, the home page 200 is entitled to match the bid of the bidder.

The bidder terminal 4 corresponds to a computer terminal or a smart terminal capable of accessing the home page 200 and does not have any particular restriction as long as the terminal is an Internet connection. The member company participating in the public bidding is a bidding participant, the employee executes the bidders terminal 4 to register in the home page 200, and sets a bid matching method. Then, according to the bid matching method, the bidder terminal 4 is provided with an automatic matching service or a manual matching service. In the passive matching service, the bidders terminal 4 can select an expert from the bidder. For reference, a bidder may set a service policy by selecting one expert per license. Of course, the bidder terminal 4 pays the bid matching service from the bid matching server 2, and the bid matching server 2 deducts the service fee from the bidder, and the remaining amount is settled to the expert.

2 is a schematic internal structure of the bid matching server 2 of Fig. 3 to 7 are exemplary views of data and processing of the bid matching server 2 of FIG. Hereinafter, description will be given with reference to Figs. 2 to 7. Fig.

The bid matching server 2 according to an embodiment of the present invention includes a professional management unit 21 for managing information of experts, a simulation bidding unit 22 for conducting simulated bidding of experts, an expert for matching the bidders' And a professional ranking unit 24 for ranking the winning bid rate according to the matching unit 23 and the winning result of the specialist.

Here, the bid matching server 2 may further include a preliminary expert management unit 201 and a simulated bid distribution provision unit 202.

The preliminary expert management unit 201 qualifies the preliminary expert as a stage before becoming an expert when the expert terminal 3 applies for the qualification of the bidding expert. The preliminary expert management unit 201 manages the preliminary experts step by step. The preliminary expert management unit 201 sets up the stage management information including the number of the bidding standards and the auction rate for each stage and promotes the preliminary experts meeting the set stage management conditions to the upper stage. In other words, the preliminary experts participate in the simulated bidding more than the standard number of each step and record the standard bidding rate for the participating mock bidding case, the conditions are satisfied and the promotion is promoted to the upper level.

Referring to FIG. 3, a license / region bidding count table of bid information is shown. Bidding is divided into 'license' and 'area'. Public bidding allows bidders to place bidding licenses and bidding areas, allowing bidding for bidders whose bids match their licenses and locations. For example, for the "electricity" license, the number of bids in the "competition" area is counted as "2374".

The inventors of the present invention are made up of preliminary experts and experts who have been promoted from the preliminary experts. The management of the preliminary expert processed by the preliminary expert management unit 201 is illustrated in the following 1 to 5.

1. All members can apply for professional participation, and those who participate in professional courses are referred to as preliminary experts. If you are not a member, you can not participate in the preliminary experts.

2. The preliminary expert is qualified as a preliminary expert upon completion of the application procedure after agreeing to the application for professional participation and the terms of use.

3. When registering the preliminary expert, the use of the pseudonym (nickname) is the principle (the use of the real name is recognized), and profile information must be input.

4. The preliminary expert participates in the simulated bidding process and goes through the upgrade process in five steps.

5. The preliminary expert who has completed step 5 can request an expert upgrade and can issue a working certificate of electronic bidding on the homepage (200).

Here, the simulated bidding management of the preliminary expert to be processed by the simulated bidding unit 22 is as follows.

One. Preliminary expert simulation bidding announcement

A. The home page 200 is basically to provide announcements that are bid closing days on the day of G2B as simulated bidding announcements of the preliminary experts.

B. However, after 18:00, the deadline for bidding for all announcements will expire, and there will be no announcement to participate.

C. The Administrator shall provide a maximum of 200 simulated bid announcements based on the "A" above.

2. Configure preliminary expert mock bidding

A. The preliminary professional mock bidding consists of a plurality of stages (eg 5 stages).

B. The contents of each step are as shown in FIG. 4, and are commonly applied to the step-by-step preliminary experts.

C. Steps 1 and 2 can be taken to the next step if only the basic number is met. For example, a first-tier specialist will be promoted to a second-tier expert if he / she participates in a bid of "100" standards.

D. In the third to fifth steps, it is necessary to be equal to or more than the winning rate set in FIG. Of course, the number of criteria and the winning rate can be set at various levels.

3. Participate in mock bidding

A. Preliminary experts can participate in up to 100 simulated bids a day. (0 to 100 cases a day)

B. The preliminary specialist can be promoted to the next stage after satisfying the step-by-step condition and performing the " result confirmation " as illustrated in Fig.

C. All simulation bids can be found in the results of the mock bidding, and the results can be viewed on the progress and results pages.

D. Preliminary experts who have completed step 5 may request an expert upgrade.

The process of calculating the ranking of the preliminary experts participating in the simulated bidding according to the result of the auction after the opening of the bid for the simulation bidding is determined and the winning bid is confirmed, is as follows.

One. Ranking of preliminary experts is determined by winning percentage.

2. The winning rate is calculated based on the total number of participations. The formula for calculating the winning rate is shown in Table 1 below.

N1 = Number of Participants X ("Win" = 1 or "Drop Out" = 0)%
N2 = Number of Participants X ("Win" = 1 or "Drop Out" = 0)%
N3 = Number of Participants X ("Win" = 1 or "Drop Out" = 0)%
...
Nk = number of participating companies X ("winning bid" = 1 or "missing" = 0)%

Success rate (P) = ΣNk / n%
n = standard number of preliminary professional ranking calculation

3. N, "the number of criteria for calculating the preliminary professional ranking" for calculating the preliminary professional winning bid rate is based on the number of simulated bids for each stage. For reference, when the expert ranking section 24 calculates the ranking of the experts, n in Table 1 is replaced with "the number of criteria of professional ranking calculation."

4. Although the number of total announcements participated should reach "n" and "the number of criteria for calculating the preliminary expert rankings", the ranking rankings of the preliminary experts are generated. In other words, since the preliminary expert's bid rate is based on 100 simulated bidding steps, 100 bid bids must be completed for each step.

5. The number of criteria for calculating the rankings is based on the concept of 'time series', and new announcements are included when new witnesses are introduced over time, and the standard number is kept as the latest announcements are released in time. In other words, the number of ranking criteria can be calculated by only 100 recent auctions.

A. The preliminary experts apply the time series concept when calculating the winning rate of 3, 4, and 5 steps.

B. In other words, if the winning bid rate is 100, and the winning bid rate has not exceeded 100%, the bidder will continue to execute the bid until the winning bid rate exceeds 100%. In this case, the time series concept is applied, As the announcement is delayed, the number of preliminary experts will be kept at 100, which is the standard for ranking.

6. The winning percentage of the preliminary experts is calculated and ranked at 00:00 every day based on the "number of criteria for calculating the ranking of the preliminary experts" after completion of participation in each step of the preliminary expert mock bidding.

7. The preliminary professional rankings expose rankings in the order of highest winning bid rate. (The higher the higher the rank)

The expert management unit 21 sets the license / region information for participating in the bidding for the promoted experts in the qualifications of the preliminary experts, and manages the qualifications, ranking, etc. of the experts.

In this case, of the persons who have completed the 5th step of the preliminary experts, the experts are upgraded through the deliberation of experts, the experts are educated according to the contract procedure, and when the offline contract is completed, Register in DB. When the expert's qualification information is registered, the expert management unit 21 can separately provide the profile screen of the expert to the users requesting the expert information.

The specialist management unit 21 manages the following policies. Experts are promoted and managed from the preliminary experts by policy.

The experts obtain a good reputation and ability by selecting a person who has passed the preliminary specialist process and who has been verified with a winning bid through a fair organization called an expert verification committee. Expert verification committee recommends licensed experts with high winning bid or ranking in order to classify the results of the simulated bids accumulated in the preliminary expert course into experts and experts. In other words, the Expert Verification Committee consists of people who examine experts.

Examples of the management of the license experts by the expert management unit 21 are as follows.

One. The specialist is licensed and is entitled to bid on the bidding of the license. Therefore, the specialist management unit 21 must set a license from the experts outlined in FIG. 3 that the user wants to be active.

2. The specialist management department (21) can provide a comprehensive evaluation of the simulated bids that have been performed at the stage of the previous preliminary expert, and recommend the region and the license to the experts who have been promoted as experts. However, the choice of license is left to expert selection.

3. Experts can hold a license immediately upon application but can not receive a referral notice from a member company (bidders) before entering each license + regional ranking.

4. The expert management unit 21 provides a unique interface for the request of the expert's license setting (new, addition, change, suspension, revocation). For example, it is possible to provide a screen interface such as a license management of a professional status management menu or an expert status management.

5. There are a maximum of 10 license limits, 18 areas (comprehensive and 17 major attempts), and the total number of experts + 180 licenses per region + license. Allowing irrelevant bidders to manage bidders can lead to lower winning rates and professionalism, and they manage professional expertise through licensing and local restrictions.

6. The specialist management unit 21 allows the experts who have achieved the "minimum number of ranking entries" for each license + region designated to be ranked in the respective professional license / regional expert rankings. In other words, if you are promoted to a professional qualification from a preliminary expert, then the promoted expert does not just predict your bid for the client's bid. The promoted experts must be ranked according to the combination of the bidding history of the preliminary experts and the bidding history of the experts, and in order to be ranked in the experts, they must participate in the simulation bids corresponding to the minimum number of ranking entries.

The simulated bidding unit 22 collects information on actual bids and conducts simulation bidding on the expert terminal 3 in the same manner as the collected bidding information. In actual bidding, the bidder participates in the auction, but in the simulated auction, the expert participates in the auction. The simulation bidding unit 22 stores the collected bid information in the DB and manages the stored bid information. The simulated bidding unit 22 registers the winning bid forecast value as a bid for the bid request of the preliminary expert and the expert, and processes the bid for the simulation bid with the successful bid information of the actual bid.

The expert ranking unit 24 calculates the winning rate shown in Table 1 for the expert who registers the winning bid estimate in the simulation bidding and the bid, and calculates the ranking of the calculated winning bid rate. Of course, when the expert ranking section 24 calculates the ranking of the experts, n in Table 1 is "the number of criteria for calculating expert rankings ". For example, as in the example of FIG. 5, the professional ranking section 24 calculates the winning rate for the latest bid match with the reference number among the bidding histories of the experts.

Here, the ranked ranking is the ranking rank of the preliminary experts and the ranking of the experts. Ranking information can be subdivided according to the area of license for each expert. For example, ranking information can be generated by subdividing into electric ranking (nationwide), electricity + Seoul ranking, and the like.

An example of ranking and ranking calculation processing of an expert to be processed by the expert ranking unit 24 is as follows.

One. The ranking of experts is determined by the winning rate in Table 1.

2. An application example of the winning rate is shown in Fig.

3. The number of participants for the ranking of experts is different for each license, license and region, and this is referred to as 'criteria for ranking'.

4. The actual bids or simulated bids of the bidder whose bidder has presented the predictor of the winning bid shall be reflected in the standard number of the ranking calculation every time the bid is witnessed.

5. The number of criteria for ranking is based on the highest competitiveness (number of participating companies) by license and region in the previous year. For fair professional rankings, licenses with a large number of participating companies calculate and apply the 'number of criteria for rankings calculation' proportional to the number of participating companies, and convert the number of participating companies to the number of participating companies.

6. However, the number of criteria for calculating the ranking can be reduced to a certain percentage for efficient professional operation. For example, it is possible to reduce the ranking to an efficient number of criteria that matches the selection criteria, since ranking is based on ranking and selecting experts with a high winning rate.

7. The number of criteria for calculating the rankings is based on the concept of "time series", and the new announcements are included when new witnesses are passed over time, and the latest announcements are omitted. .

8. In the case of announcements with two or more regions, it is permissible to duplicate the respective auction rates in each area.

9. The order of reflecting the announcement for the winning bidder calculation standard is as follows.

i. And the number of announcements is reflected in order.

ii. If multiple bidding predictions are presented in the same announcement number, the winning bid will be applied first, and the remainder will be random.

In addition, the ranking ranking entry by the professional ranking unit 24 is the same as the following 1-5. The expert ranking section 24 limits the minimum number of ranking entry for each license for the reliability of the professional ranking.

One. The minimum number of ranking entries is the minimum number of entries to enter the professional ranking, and no ranking is generated when the minimum number is not reached.

2. The minimum number of entry into the ranking is based on the previous year's license and the highest competition per region (number of participating companies), as well as the number of criteria for ranking.

3. The minimum number of ranking entries may also be reduced by a certain percentage of the criteria set out in paragraph 2 above for efficient professional operation. However, it can not exceed the standard number of ranking calculation.

4. How to meet the minimum number of ranking entries

A. Apply the license / area of the simulated bid announcement participating in the preliminary expert preliminary simulation mock bidding to the minimum number of ranking entry.

B. The number of deficiencies can be increased by a minimum number of ranking entries by experts participating in the simulated bidding.

For example, suppose that the minimum number of experts' ranking entry in the license / area of Seoul / Seoul is 50. As a preliminary expert, I participated in 40 bids for electricity / Seoul in mock bidding. After the promotion of experts, if you participate in the bidding for the announcement corresponding to the license + area of electricity / Seoul, 10 cases will be fulfilled, and the minimum number of entries of electricity / Seoul license + area will reach 50.

C. New licenses, areas must complete the minimum number of ranking entry through professional mock bidding

5. Set the minimum number of license / regional ranking entries

A. According to items 1 ~ 4 above, the minimum number of ranking entry is applied at the rate of 30% of the highest competition (number of participating companies).

B. If the minimum number of "licenses" is less than the "total" number of licenses, the minimum number of "licenses" should not exceed the minimum number of "total" licenses.

C. However, for licenses with low order volume, the minimum number of entry into the regional ranking is separately specified and applied in a lump sum.

In addition, examples of the ranking operation of the experts processed by the expert ranking section 24 are as follows.

One. The number of criteria for calculating the ranking is applied at a rate of 50% of the highest competition (number of participating companies).

2. The minimum number of ranking entries is 30% of the highest competition (number of participating companies).

3. Experts who have completed the minimum number of entry in the first ranking and entered the ranking will accumulate the number of cases until they reach the standard number of ranking calculation. For example, experts who entered the ranking after completing the minimum number of 84 entries in Busan / Building Ranking will accumulate the standard number until the number of criteria for ranking is reached to 140.

4. The number of 'regional' criteria for each license does not exceed the number of criteria for 'comprehensive'.

When the expert ranking unit 24 calculates the ranking information of the experts, it provides a search service of ranking information according to a request of the user, and the search service is as follows.

One. Only experts who meet the minimum number of ranking entries will be searched and exposed to member companies.

2. Member Zone ZONE The administrator can set the default professional values exposed to the expert rank among the main menu, expert selection, expert ZONE main menu. When the member company receives a screen for selecting a specialist, the default specialist is assured of exposure opportunity to the member company as a default specialist until the member company selects a specialist. The ranking order of the professional rankings is based on the total rank of each license.

3. The following criteria are searched in the expert rankings.

A. At least one expert will provide an unconditional ranking.

B. If there is no expert in the searched condition value

i. Text: "I am preparing the license / local expert".

ii. Provide comprehensive ranking for each license.

After promotion, the professional may be required to participate in the simulated bidding provided by the simulated bidding unit 22 to meet the minimum number of ranking entry and the standard number of ranking calculation.

The simulated bidding process performed by the simulated bidding unit 22 is as follows.

One. Expert Mock Tender Announcement

A. It is a principle that the simulation bidding unit 22 collects the information of the actual bidding announcements and provides it as a simulation bidding notice.

B. In contrast to the mock bidding notice provided to the preliminary experts until the tender deadline (the following day after 18:00), the expert mock bidding notice further includes the request notification of the member company, thus providing the request notice and the automatically collected notice.

C. There is no limit to the quantity, unlike the preliminary expert mock bidding.

For reference, in the preliminary expert simulation bidding, the maximum number of announcements in the daily mock bidding is 200, and the preliminary expert can participate in the maximum of 100 mock bids per day. On the other hand, professional mock bidding does not place such restrictions.

2. Participate in mock bidding

A. Experts can enter license / regional rankings or change rankings through professional mock bidding.

B. Until the day before the tender deadline, one bidder can present one winning bid forecast.

C. Even if the announcement is an announcement commissioned by a member company, the winning bid estimate can be presented in the expert simulated bidding.

3. The predictive winning bid of the mock bidders participated by the experts is reflected in ranking of the experts according to the number of criteria of the ranking calculation based on the "time series" according to the result of the wicket, and the simulation distribution 202 of the bid distribution is reflected in the future prediction distribution. For reference, the predicted future distribution is the price distribution of the predictor of the winning bid that the expert mocked in the simulated bid case.

4. When a mock bidding notice is corrected or canceled

A. It is not reflected in the results of ranking calculation.

B. However, it is reflected in the number of ranking entry criteria.

The expert matching unit 23 matches the bidders requesting the matching of the expert and the expert calculated with the rankings and provides the bidding predictor of the expert to the bidder of the bidders. If the bidder sets a bid requiring matching of the experts, the expert matching unit 23 matches the license and the license of the bidder of the bidder set and the expert who sets the same license and region.

Here, the expert matching unit 23 provides two services, an automatic matching service and a manual matching service. The automatic matching service automatically matches the bidders to the experts. For example, if the bidders set the license / area, the bids matching the set information are collected as "biddable announcements". Then, within the top 3% of experts who have entered the license / local expert rank for the collected bids, they are randomly selected and matched by the automatic matching service.

Of course, the manual matching service is the bidders 'choice of the experts by the bidders' setting. For example, a bidder selects a professional for a bid for a "biddable announcement" collected by setting a license / region.

The matching management between the specialist and the member company processed by the expert matching unit 23 is as follows.

One. The expert matching unit 23 generates professional rankings for each license / region based on 00:00:00 every day, and matches experts and member companies according to the following services.

2. When there is a change in the license change, suspension, termination, etc. of the expert, the expert management unit 21 reflects the changed information in the DB in real time.

3. The ranking information of the experts who have newly entered the ranking is stored in the DB by the professional ranking unit 24 in the winning rate and ranking ranking.

The "top 3% expert special advisory service" matching of the expert matching that corresponds to the automatic matching service processed by the expert matching unit 23 is as follows.

One. "Top 3% Expert Special Advisory Service" is a commodity that relies on experts to collect the "available bidding notice". The bidder subscribes to the "Top 3% Expert Special Advisory Service" and sets the license / area. The simulation bidding unit 22 collects the bid information and stores it in the DB. The bidding information matching the bidders 'license / area among the bidding information stored in the DB is subject to the bidders' request to the bidders to bid.

2. In principle, the experts who have entered the ranking shall receive a bid request from the bidder for a maximum of 5 bids per license / area (including comprehensive, nationwide). Experts can receive a total of five bid requests based on automatic matching service. To limit the number of bidders' bidding requests for one license / area, the specialists are required to restrict their participation in bids indiscriminately, and experts should carefully register their bidding predictors to maintain professionalism. That is, experts can receive referral notices from up to five member companies per license / region.

3. "Top 3% Expert Special Advisory Service" - Automatic Matching

A. It provides automatic matching service to the member companies who apply for the "Top 3% Expert Special Advisory Service" of professional matching.

B. When an expert enters the top 3% of each license / region's rankings, it automatically matches the member using the "Top 3% Expert Special Advisory Service" - automatic matching service. However, the maximum number of companies is limited to five according to Paragraph 2 above.

C. At 00:00 every day, the ranking is newly calculated by the professional ranking unit 24, and the expert matching unit 23 processes the automatic matching of the calculated ranking experts and the member candidates.

D. The 3% standard is the number of experts in the ranking × 3%, and the application is determined as follows.

i. If the top 3% is less than 1 person, it matches with 1 expert (ex: Expert 3 ~ 33, 1 ranked expert is automatically matched with member company)

ii. If the top 3% exceeds the decimal point, add 1 person (ex: 2 for expert 34 and 3 for expert 67)

E. The criteria for automatic matching is licensed, and in the case of a region, priority is given to the ranking of the regions> overall ranking> other regions. In other words, the license / area set by the bidder is matched to the license priority.

F. For licenses that can not be identified based on the minimum number of checks per license, the total ranking by license shall be applied.

G. The automatic matching by license according to the license / region of the member company is as follows.

i. Member area + license (ex: Seoul Electric 3% / 50 members in the electricity ranking, 2 experts are selected as auto-matching experts)

ii. Comprehensive + license (ex: Comprehensive Electricity 3% / When there are 100 people in the electricity ranking, 3 experts are selected as experts in automatic matching)

iii. Other area + license (ex: Seoul Electricity is 3% closed, if there is a gender in the posting of the match, it matches the posting of the game)

In this case, ask the member company's consent. The order of the other regions is nationwide> Seoul> Gyeonggi> Busan> Daegu> Incheon> Gwangju> Daejeon> Ulsan> Gangwon> Gyeongbuk> Gyeongnam> Jeonnam> Jeonbuk> Jeju> Chungnam> Chungbuk> Sejong.

iv. If there is a quota, the automatic matching will be succeeded at 00:00 the next day by the region + license according to the priority A> B> C> D.

Here, the capacity refers to the number of members who can match with experts who can automatically match by license / region. For example, if there is one expert in the top three percent of Seoul / Seoul, the capacity is set to five members. At this time, succession of the garden means that the second member company succeeds the automatic matching service by replacing the first member company as one member out of the five member companies already matched to the expert withdraws from the automatic matching service.

H. One expert is matched to five member companies, and if the top 3% of experts are two or more, a randomly selected expert is matched to the member company.

i. The random method sequentially matches member companies to a plurality of experts. For example, if there are only 5 member companies, they will be matched to the 1st place specialist of the region + license. If 6 member companies match, 3 will be matched first to 1st place and 2nd place.

ii. The matching order of the member companies is based on the contract date. Matches with a randomly selected professional from a long-standing member.

4. "Top 3% Expert Special Advisory Service" - Manual Matching

A. The expert matching unit 23 may receive a request to change the automatic matching from the member company provided with the expert matching service to manual matching.

B. When the manual matching is changed, the expert matching unit 23 directly selects an expert from the member company. However, you will have to choose the experts who have the remaining capacity / area. Expert licenses / regional gardens are five members.

For example, if there is a room left in the top 3% of experts in Seoul + electricity experts, you can manually select and the number of matching members of the selected experts is deducted by 1.

The "expert group consulting service of 10 or more persons " corresponding to the manual matching service processed by the expert matching unit 23 is as follows.

One. "Consultation service of 10 or more professional group" is a commodity that the member company selects and requests for the bid and the expert. The member company selects the announcement to be billed during the entire announcement, and the expert matching unit 23 directly selects the expert from the member company for the selected bidding case and provides the expert matching service.

2. Since the member company only requests some of the announcements of the entire announcement to the experts, it is excluded from the expert matching capacity, and there is no limit to the number of notifications.

For example, if an A specialist within the top 3 percent already has five members, then the member A must select the A expert by the group advisory service, and the A expert must respond to that choice.

3. Until the member changes the specialist, the matching remains unchanged.

The expert matching unit 23 receives the bidding predicted value from the specialist in response to the bidding request of the bidder, and provides the registered bidding predictor to the bidder terminal 4. Here, the registration of the winning bidder's prediction by an expert is as follows.

One. The specialist must present the winning bid forecast by the 'due date' for the bidder's request.

2. If it is not possible to do so by unavoidable circumstances, the expert shall notify the matching platform system (1) at least one day in advance.

3. If it is not possible to perform the long-term business, the system should agree with the supplier of the system (1) and stop the matching after completing presentation of the winning bid for the announced request.

4. Failure to do so will result in compensation for the Professional.

The following is a sample of the fee incurred by the matching service between the expert and the bidder.

One. If the announcement participating in the e-bidding after the bidding predictor proposed by the expert is provided to the bidder terminal 4 of the member company is awarded as a first prize through the wicket or the senior company is eliminated and determined as the final successful bidder, A consulting service fee will be incurred in accordance with the contract of the matching service concluded between member companies.

Here, the commission fee is imposed on the member who has confirmed the predicted winning bid that the member company has proposed, and intends to participate in the bid with the amount of the deliberate change of the amount, and is awarded.

2. If the consulting service fee is incurred in accordance with the above 1, but the member company has given reasons such as abandonment or cancellation of construction contract, corporate bankruptcy, or can not be collected, the matching platform system (1) You can choose.

3. The system (1) provides all the progress from advisory service fees to final results to experts in real time and transparently.

The matching platform system 1 can issue a bid related service by issuing a bead coin corresponding to cyber money. The bead coin settlement is as follows.

One. The bead coin can be used when a member company inquires about a future prediction distribution provided by the simulated bid distribution distributor 202, purchases a predicted price of an expert, or requests matching of an expert. 1 Coin is the same as the Korean Won 1 won. Referring to FIG. 7, the member company can select a specific point of the future prediction distribution chart and request purchase of the selected winning bidder. Before purchasing, only part of the forecast price (eg, only to the second decimal point) can be viewed on the distribution chart, and the buyer is provided with a fully publicized forecast price by purchase.

2. The bead coin is divided into a service coin provided by the service provider used for activating the transaction and a purchase coin purchased and used by the member company directly. The settlement of the bead coin is limited to the purchase coin.

3. Settlement of future forecast distribution

A. Future forecast distributions can be purchased by member companies only when a certain number of experts announce their winning bid estimates.

B. The subject of settlement of the future forecast distribution chart purchased by the member company is a proposal of a successful bidder through a simulation bidding. The proposal of the bidder for the bidder's bidding request shall be excluded from the settlement. This is because the request of the bidder can expect the commission fee of the advisory service. Since the mock bidding is an active participation of the experts to change the ranking, the settlement is compensated by this.

C. The method of settlement of future forecast distribution is to set 50% of professional settlement 50% by dividing the professional settlement rate by 1 / n as the number of experts participating. That is, the system will have 50% of the bidder's purchase price, and the remaining 50% will be settled to the experts. For example, in the announcement A, if the profits of the future forecast distribution are 10,000 won, and 5 experts who participated in the mock bidding are 5,000 won / 5 persons, 1,000 won will be settled to each participant.

4. Bead coin settlement paid at the time of commissioning of specialist announcement

A. The member company shall pay 1,000 coins for the bid coin (service coin or purchase coin) when requesting the announcement.

B. The service coin shall be excluded from settlement for the purpose of increasing the commission of advisory services by commissioning many announcements.

For example, service coins used at the time of purchasing a service coin or future forecast distribution chart used by a member company of a special advisory service, a group advisory service, etc., are excluded from the criteria for settlement with an expert.

C. The subject of the settlement of the bead coin is 50% of the amount paid by the member company for the purchase coin.

An example of the compensation of the expert to be processed by the expert matching unit 23 is as follows.

One. The system (1) imposes on the expert the following monetary damages if the expert does not present the winning bid forecast by the due date.

A. 20,000 won per request for the first day only

B. In case of 2 occurrences per day, compensation of 30,000 won per request

C. In case of 3 occurrences on the date, 50,000 won for each notified notice and suspension of professional qualification

2. This does not apply when a member cancels a request before the commission of correction, cancellation, or posting of the request is made or before the bid prediction is presented.

3. The compensation is deducted from the professional account.

The professional settlement payment processing by the expert matching unit 23 is exemplified in the following 1 to 4.

One. The system (1) issues the consultation service fee and the bid coin from the first day of the month to the end of the month, and issues a settlement of accounts for the service fee on the 10th day of the following month. Pay to your account

2. Advisory service fees and bead coin amounts include VAT and are reflected in the payment.

3. The settlement reflects the collection of collected advisory service fees, bead coin settlement, and expert compensation.

4. If the professional does not register as a business operator, the VAT and business income tax of 3.3% will be paid from the settlement account. If the specialist will submit the tax invoice according to the settlement to the company, the settlement will be paid .

The professional status management provided by the expert management unit 21 is as follows.

One. Experts can manage their professional status at a glance and have immediate access to necessary parts through professional status management.

2. Professional status management allows strategists to strategically change the rankings of licenses / regions. It is possible for experts to change rankings by changing the license / region information in the professional status management or participating in the simulated bidding.

3. Expert status management is shown in FIG.

4. If the specialist has less than 10 licenses, you can click on Add License (+) and the license selection window pops up and you can add your license right away.

-> Do not display only the number of licenses in the license field, but provide 10 fields to encourage experts to have 10 licenses.

 The expert status provided by the expert management unit 21 is as follows.

One. The expert management unit 21 provides a screen for confirming the number of experts who are active in the ranking of each region according to the license according to the inquiry request (excluding the number of experts who are not in the ranking).

2. Here, the number of experts who entered ranking by license + region can be reflected in real time.

The ranking status of the expert status management provided by the expert management unit 21 is as follows.

One. Each expert can check the status of entry into the license + regional ranking.

2. When not ranking

A. It is expressed as a non-entry.

B. Failed to enter the ranking due to failure to meet the number of entry in the license + area.

C. Upon mouse over, the number of announcements participating in the license + region and the number of announcements available for mock bidding.

3. When entering the ranking

A. It is expressed as the number of experts in the area + the license / area in the license + area.

B. When I rollover, I get my winning rate in the license + area and the number of available simulated bids.

4. When you click on each license + area, you move to the list of available simulation bids.

Management of the professional status provided by the professional management unit (21) - The status of the member company is as follows 1 ~ 2.

One. By license + region, each expert can know the number of matching members.

2. When you mouse over each license + area, you can see the number of members matching each product.

Figure 8 is a schematic flow diagram of a matching platform method in accordance with an embodiment of the present invention.

The bid matching server 2 sets various standard and policy data for providing services such as expert management, simulated bidding, calculation of a winning rate, generation of a future prediction distribution chart, and expert matching from an administrator and stores them in a DB.

The bid matching server 2 is requested to acquire expert qualification from the expert terminal 3 connected to the homepage 200, qualifies as a preliminary expert, and provides a step-by-step upgrade service of the preliminary expert (S21). The applicant who applied for the professional qualification is promoted from the initial stage of the preliminary expert to the higher level according to the step-by-step upgrade standard including the standard number and the winning rate shown in FIG.

When all of the preliminary expert stages have been completed, the bid matching server 2 informs the expert terminal 3 of the acquisition of the expert qualification, sets the license / area from the expert terminal 3 and stores it as expert information in the DB (S22) . The bid matching server 2 can register the winning bid estimate from the expert terminal 3 only for the announced bid of the license / region set for the expert. The bid matching server 2 calculates the winning bid for the winning bid predicted by the expert, and ranks the professional ranking according to the calculated winning bid.

Here, the bid matching server 2 requests the experts to participate in the simulated bidding in order to secure expertise of the expert in terms of the minimum number of successful winning rankings and the number of ranking criteria. In other words, a user who has obtained professional qualification registers as a winning bidder in a mock bidding and accumulates experience as a professional participating in a bid. When the experienced professional meets the above criteria, ranking information is calculated and disclosed to the bidders.

When the expert terminal 3 requests participation in the simulated bidding, the bid matching server 2 registers the winning bid estimate from the expert terminal 3 with respect to the requested bid request (S31). For this purpose, the bid matching server 3 collects the information of the open bid to be announced, and proceeds the mock bidding to the same as the actual bidding. The first professional qualification users participate in the simulated bidding for entry and calculation of the ranking, and the experts who already have the ranking participate in the simulated bidding as necessary to change the ranking ranking.

Here, during the process of the simulation bidding, the bid matching server 2 generates the future prediction distribution diagram of Fig. 7 by using the winning bid estimator of the bidders in the simulation bidding, and calculates the distribution map generated at the request of the bidder terminal 4 (S32). The bid matching server 2 selects a specific distribution location from the bidder terminal 4 on the distribution map and publishes the winning bidder's predicted value corresponding to the selected position according to the bidder's purchase request. That is, the accurate winning bid forecast is not disclosed on the distribution map, and the bid matching server 2 provides an accurate winning bid estimate to the bidder terminal 4 that has completed the purchase.

Meanwhile, the bid matching server 2 is requested to join the expert matching service from the bidder terminal 4 according to the request of the bidder corresponding to the member company, and registers the service setting information (S41). The bid matching server 2 sets an automatic matching service and a manual matching service to the bidder and receives various condition information and the like suitable for the set service. The bidder is provided with the bid information matching the service setting and the expert information matching with the bid information.

The bid matching server 2 matches the bidders' participating bids with the experts according to the automatic matching service and the manual matching service (S42). First, the bid matching server 2 may collect bidding information according to the bidders 'service set license / area and determine the bidders' participation bid. Of course, it is also possible for the bidder to select the participating bid information from all the bidding information corresponding to the license / area.

Here, if the bidding information is determined or selected, the expert matching is an automatic matching service, the bid matching server 2 randomly selects the experts in the set upper rank and provides the selected expert information to the bidder terminal 4 . If the service is a manual matching service, the bid matching server 2 provides the bidder information to the bidder terminal 4, and the bidder selects an expert from the bidder.

When the bidding case and the decision or selection of the expert are completed, the bid matching server 2 notifies the bidding request of the bidder to the expert terminal 3, registers the winning bidder from the expert terminal 3, To the bidder terminal 4 (S43).

When the opening of the bid for the bid is started, the bid matching server 2 collects the winning result, calculates the winning rate shown in Table 1 for the winning bid estimated by the expert's simulated bid and the bid request based on the collected winning information, (S51). That is, the registration of the winning bidder is stored as a history, and it is evaluated as the winning bid rate and the ranking regardless of whether the bidder buys it or not.

Every time you witness a bid. The rankings of the experts are changed, and the changed information is reflected in real time in the ongoing mock bidding case and expert matching service. In other words, the bidder can purchase the expert's bid predictor through the future prediction distribution of the simulated bid, and the bidder subscribed to the expert matching service is provided with the expert's bid predictor according to automatic matching or manual matching.

If the winning bidder of the expert is actually awarded, the bid matching server 2 sets the predetermined fee according to the set policy to the expert who predicted the winning bid price.

In the above-described embodiment, the term "part" is not used as a term for the hardware classification of the bid matching server 2. Accordingly, a plurality of constituent parts may be integrated into one constituent part, and one constituent part may be divided into a plurality of constituent parts. The constituent unit may mean a constituent part of hardware, but may also mean a constituent part of software. Therefore, it should be understood that the present invention is not particularly limited by the term "part ".

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It goes without saying that various modifications and variations are possible within the scope of equivalence of the scope.

2: Bid matching server 200: Home page
3: Expert terminal 4: Bidder terminal

Claims (9)

A preliminary expert management unit for registering the qualification of the expert, receiving the qualification of the expert, registering the applicant information as the preliminary expert information, providing the preliminary simulated bids to the registered preliminary experts, and passing the entire steps of the provided simulated bids;
A specialist management section for setting a license and an area of the bids in which the registered experts can participate, and managing the set information;
A simulated bidding unit for registering a predictor of a successful bidder for a simulated bid request of an expert;
An expert matching unit for matching the bidders' bids with the licensees and the regions, the experts having rankings higher than the set reference rankings, registering the winning bids from the matching experts, and providing the registered bidding predictions to the bidders; And
A winning ranking calculation unit for calculating a winning bid rate for the winning bid registered in the simulation bid and the bid price of the bidder and for calculating a ranking of the calculated winning bid rate,
Wherein the matching platform system comprises: The method according to claim 1,
And a DB (DataBase) in which actual bidding information is collected and stored,
Wherein the simulated bidding unit manages bidding information of the DB and processes the simulated bidding wick in the same manner as actual bidding with the stored bidding information. The method according to claim 1,
The expert ranking unit,
The following equation
N1 = number of participating companies X ("winning" = 1 or "missing" = 0)
N2 = Number of participating companies X ("winning bid" = 1 or "missing" = 0)
N3 = Number of Participants X ("Winning" = 1 or "Dropped" = 0)
...
Nk = number of participants X ("winning" = 1 or "missing" = 0)
P =? Nk / n * 100
P = Success rate ( % )
n = number of criteria for calculating professional rankings
To calculate a winning rate (P). The method according to claim 1,
Wherein the expert-
The expert is firstly registered as a specialist in the preliminary expert and then the simulated bidding is performed on the number of the standard number of the ranking calculation or more to match the bidders with the ranked experts of the winning bid rate and the matched information is stored in the DB Matching platform system. The method according to claim 1,
Wherein the expert-
Wherein the automatic bidding system automatically matches and matches the bidders to the bidders selected by the bidders or the entire bidders collected to match the license and the region set by the bidders, or matches the bidders' selected experts with respect to the bidders. The method according to claim 1,
Wherein the expert-
Limits the total number of matching of individual experts to a predetermined number of times or less and matches the bidders' bids within a limited number of matching times. The method according to claim 1,
Wherein the expert-
Selects an expert having a ranking higher than the set ranking according to a request of automatic matching of the bidder, and automatically matches the selected expert to the bidder. The method according to claim 1,
The preliminary expert management unit,
Wherein the comparison unit compares the condition information of the number of bids and the winning percentage set for each individual step of the simulated bid with the simulated bidding information of the preliminary expert and registers the preliminary expert satisfying the condition as the preliminary expert at the upper level, Platform system. The method according to claim 1,
The distribution of the winning bid estimates of the experts who bid on the simulated bids and the distribution of the winning bid estimates distributed by the experts at the request of the member company is generated as a winning bid forecast distribution chart and is provided to the bidders. And a simulation bidding distribution unit for calculating a part of the purchase amount to an expert.

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