Bidding document data management system

Abstract

The invention discloses a bid invitation document data management system, which belongs to the technical field of bid invitation document data management, and comprises a platform end and a user end, the platform end comprises a bid invitation information module; the user side comprises a bidding information module, a qualification management module and a bidding module; the bid invitation information module is used for collecting bid invitation data in real time, generating a corresponding bid invitation information table for the corresponding user enterprise according to the bidding requirement of each user enterprise, and sending the bid invitation information table to the corresponding user side; the bidding information module is used for a user enterprise to perform bidding analysis to obtain a target project; the qualification management module is used for acquiring bidding qualification data of a user enterprise in real time; storing the bidding qualification data; identifying a target project in real time, and obtaining project qualification data according to the target project; the bidding module is used for the user enterprise to perform bidding management, bidding submission data is set according to the bidding qualification data, and the bidding submission data is submitted to a corresponding bidding party; and bid invitation state information is obtained in real time.

Description

Technical Field

[0001] The present invention belongs to the technical field of tender document data management, and specifically relates to a tender document data management system. Background Art

[0002] A tender document data management system is an information tool for centrally managing and processing various documents and data, and its core functions and designs need to focus on improving efficiency, ensuring compliance, and enhancing transparency.

[0003] However, most of the current tender management systems in the market are oriented towards the needs of the tenderer, focusing on the standardization of the tender process and regulatory compliance, while ignoring the management needs of the bidder. For example, bidders have accumulated a large amount of data in historical projects (such as quotation distribution, winning reasons, highlights of technical solutions), but the existing systems do not provide data analysis tools, resulting in the inability to precipitate experience into knowledge assets; most of the existing systems operate independently and cannot be integrated with internal enterprise ERP, CRM and other systems, resulting in bidders having to repeatedly enter basic information such as qualifications and performance.

[0004] Therefore, for bidders, there is also a need to use a tender document data management system. Based on this, the present invention provides a tender document data management system. Summary of the Invention

[0005] In order to solve the problems existing in the above solutions, the present invention provides a tender document data management system.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A tender document data management system includes a platform side and a user side; The platform side includes a tender information module; The tender information module is used to collect tender data in real time, and generate a corresponding tender information table for each user enterprise according to the tender requirements of each user enterprise. The tender information table includes tender project information and tender scores of tender data that meet the tender requirements; and sends the tender information table to the corresponding user side.

[0007] Further, generating a tender information table for a user enterprise according to the tender requirements includes: Screening the tender data according to the tender requirements to obtain tender data that meets the tender requirements of the corresponding user enterprise, and identifying the corresponding tender project information according to the tender data; Identifying the tenderer of the tender data, and determining the tender score of the tender data relative to the user enterprise according to the tenderer; supplementing the tender project information and tender score corresponding to each tender data into a preset tender information table.

[0008] Further, screening the tender data according to the tender requirements includes: Obtain the bidding requirements of the user enterprise, and set the bidding collection items according to the bidding requirements; Perform feature recognition on the bidding data according to the bidding collection items to obtain the bidding requirement analysis data of the bidding data; Calibrate the bidding requirement analysis data of each bidding data according to the bidding requirements, and eliminate the bidding data with unqualified calibration results.

[0009] Furthermore, calibrating the bidding requirement analysis data of each bidding data according to the bidding requirements includes: Establish a requirement calibration model, and the expression of the requirement calibration model is: ; In the formula: (V, B) is the input data, V represents the bidding requirement analysis data, and B represents the bidding requirement; V→B means that the corresponding bidding requirement analysis data meets the bidding requirement; the output data is the calibration value, and the calibration value is 1 or 0; Analyze the bidding requirement analysis data through the requirement calibration model to obtain the calibration value of the bidding data; When the calibration value is 1, the calibration result is qualified calibration; When the calibration value is 0, the calibration result is unqualified calibration.

[0010] Furthermore, determining the bidding score of the bidding data relative to the user enterprise according to the tenderer includes: Identify the historical bidding records of the tenderer of the bidding data, identify each historical bidding project of the tenderer according to the historical bidding records, obtain various qualification collection items, perform feature recognition on the historical bidding projects according to the qualification collection items to obtain the historical project feature set of the corresponding historical bidding projects; perform feature recognition on the bidding data according to the qualification collection items to obtain the project feature set of the bidding data; determine the bidding reference project of the bidding data according to the project feature set and each historical project feature set; Obtain the bidding qualification data of the user enterprise, and determine the bidding qualification category of the user enterprise according to the bidding qualification data; Collect the bidding-related data of the bidding reference project by the platform side, evaluate the bias score of the bidding reference project relative to the bidding qualification category according to the bidding-related data, and use the bias score as the bidding score of the bidding data relative to the user enterprise.

[0011] Furthermore, determining the bidding score of the bidding data relative to the user enterprise according to the tenderer includes: Identify the historical bidding records of the tenderer in the tender invitation data, identify each historical tender invitation project of the tenderer according to the historical bidding records, obtain various qualification collection items available, identify the characteristics of the historical tender invitation projects according to the qualification collection items, and obtain the historical project characteristic set of the corresponding historical tender invitation projects; Classify and merge the historical tender invitation projects according to the historical project characteristic set, and obtain the corresponding tender invitation classification and classification scope; Obtain the tendering qualification data of the user enterprise, and determine the tendering qualification category of the user enterprise according to the tendering qualification data; Obtain the historical bidding records corresponding to the tender invitation classification, and determine the prejudice score of the tender invitation classification for the tendering qualification category according to the historical bidding records; Identify the project characteristic set corresponding to the tender invitation data, match the corresponding tender invitation classification according to the project characteristic set, and use the prejudice score corresponding to the tender invitation classification as the tendering score of the tender invitation data relative to the user enterprise.

[0012] Further, the determination of the tendering qualification category includes: The management personnel of the user enterprise designate several enterprises as similar enterprises, identify the tendering qualification data of the similar enterprises, and form the tendering qualification category according to the tendering qualification data.

[0013] The user terminal includes a tendering information module, a qualification management module, and a tendering module; The tendering information module is used for the user enterprise to conduct tendering analysis, obtain the tender invitation information form sent by the platform terminal, determine the tender invitation projects that need to be tendered according to the tender invitation information form, and mark them as target projects.

[0014] The qualification management module is used to obtain the tendering qualification data of the user enterprise in real time; store the tendering qualification data; Identify the target project in real time, obtain the tender invitation data of the target project, obtain the project qualification data from the stored tendering qualification data according to the tender invitation data, and send the project qualification data to the tendering module.

[0015] Further, the acquisition of the tendering qualification data includes: Identify the industry field to which the user enterprise belongs, determine various qualification data required for tendering according to the historical tender invitation data in the industry field, set corresponding qualification collection items according to the types of the corresponding qualification data, and dynamically update the qualification collection items; Conduct real-time data collection on the user enterprise according to each qualification collection item to obtain the single-item collection data of the corresponding qualification collection item; integrate each single-item collection data into the tendering qualification data.

[0016] The bidding module is used for the user enterprise to conduct bidding management, obtain bidding qualification data, set corresponding bidding submission data according to the bidding qualification data, and submit the bidding submission data to the corresponding tenderer; and obtain the bidding status information in real time and display the bidding status information to the user enterprise in real time.

[0017] Compared with the prior art, the beneficial effects of the present invention are: Through the mutual cooperation among various modules, the present invention realizes intelligent auxiliary management of various tender data that meet the bidding requirements by the tenderer, improves the bidding efficiency and winning bid rate of the tenderer; makes full use of the resource data of the platform party to provide detailed analysis services for each user enterprise, helps the user enterprise intuitively understand the details of each bidding project, and avoids invalid bidding; at the same time, automatically synchronizes and shares basic information such as qualifications and performance, and the tenderer does not need to repeatedly enter data, greatly reducing the manual operation cost and time consumption, and at the same time avoiding errors and risks caused by data inconsistency. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a principle block diagram of the present invention. Detailed Embodiments

[0020] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0021] As Figure 1 shown, a tender document data management system includes a platform side and a user side; The platform side is used by the platform party and is communicatively connected with the user sides of each user enterprise, and is used to provide tender services for each user enterprise by using the sufficient resources of the platform party.

[0022] The platform side includes a tender information module; The tender information module is used to collect tender data in real time, and generate corresponding tender information tables for respective user enterprises according to the tender requirements of each user enterprise. The tender information tables include tender project information and tender scores of the tender data that meet the tender requirements; and send the tender information tables to the tender information modules of the corresponding user terminals.

[0023] The tender data includes various relevant data such as tenderer information, tender requirements, tender documents, etc.

[0024] In one embodiment, generating a tender information table for a user enterprise according to the tender requirements includes: Screen the tender data according to the tender requirements to obtain the tender data that meets the tender requirements of the user enterprise, identify the corresponding tender project information according to the tender data. The tender project information is the summary information of the tender data, which is convenient for users to quickly understand the tender project, and includes links, channels, etc. for quickly accessing the complete tender data.

[0025] Identify the tenderer of the tender data, and determine the tender score of the tender data relative to the user enterprise according to the tenderer; supplement the tender project information and tender scores corresponding to each tender data into a preset tender information table.

[0026] In one embodiment, screening the tender data according to the tender requirements includes: Obtain the tender requirements of the user enterprise. If the user enterprise has not set them, form the tender requirements with the requirements that meet the tender qualification data of the user enterprise. The user can make adjustments on the basis of the tender qualification data, such as adding relevant restrictive requirements such as region, amount, output value, time, etc.; form corresponding tender collection items according to each requirement corresponding to the tender requirements, and use them to collect the characteristic data of the tender requirements in the tender data.

[0027] Collect various tender data in real time, perform characteristic identification on the tender data according to the tender collection items, and obtain the tender requirement analysis data corresponding to the corresponding tender data; Calibrate the tender requirement analysis data of each tender data according to the tender requirements, eliminate the tender data with the calibration result of unqualified calibration, and output the tender data with the calibration result of qualified calibration.

[0028] In one embodiment, calibrating the tender requirement analysis data of each tender data according to the tender requirements can be performed in accordance with the existing method.

[0029] In one embodiment, calibrating the tender requirement analysis data of each tender data according to the tender requirements includes: Establish a requirement calibration model, and the expression of the requirement calibration model is: ; Where: (V, B) is the input data, V represents the tender requirement analysis data, and B represents the tender requirement; V→B means that the corresponding tender requirement analysis data meets the tender requirement; the corresponding training set is set through the corresponding historical tender data for training; the output data is the calibration value, and the calibration value is 1 or 0; The tender requirement analysis data is analyzed by the requirement calibration model to obtain the calibration value of the corresponding tender data; When the calibration value is 1, the calibration result is qualified calibration; When the calibration value is 0, the calibration result is unqualified calibration.

[0030] In one embodiment, the tender data is determined according to the tenderer to be equivalent to the tender score of the user enterprise. It is to evaluate the tender score according to the historical tender data of the corresponding tenderer and the situation of the user enterprise. The tender score intuitively shows the tenderer's recognition, prejudice, success rate, etc. of the user enterprise. For example, if a tender enterprise has certain prejudice or non-recognition of enterprises of the same type as the user enterprise, its tender score will be lower than the standard line, and vice versa higher than the standard line. The tender score can also be set according to the normal tender success rate; the scoring standard is specifically determined according to the actual needs of the enterprise, and then the existing method is used for scoring; such as common intelligent algorithms based on AI technology, machine learning, etc. for intelligent evaluation.

[0031] In one embodiment, determining the tender score of the tender data relative to the user enterprise includes: Identifying the historical tender records of the tenderer of the tender data, identifying each historical tender project of the tenderer according to the historical tender records, obtaining various qualification collection items, identifying the characteristics of the historical tender projects according to the qualification collection items, and obtaining the historical project feature set of the corresponding historical tender project; identifying the characteristics of the tender data according to the qualification collection items to obtain the project feature set of the tender data; determining the historical tender projects that have a reference role for the tender of the tender data according to the project feature set and each historical project feature set, and marking them as tender reference projects; Obtaining the tender qualification data of the user enterprise, and determining the tender qualification class to which the user enterprise belongs according to the tender qualification data, that is, under normal circumstances, the tender effects within this tender qualification class are regarded as the same. The tender qualification class can be set by the platform party. Because the tender qualification data of the user enterprise changes little, it can be manually set by professionals; the platform party can also preset various tender qualification classes and match them according to the tender qualification data of the user enterprise; subsequently, according to the tender qualification class, it can be determined whether the winning bidder of the tender reference project belongs to this tender qualification class, which is convenient for prejudice analysis.

[0032] Obtain the tender-related data of the tender reference project by using the resources of the platform party. The tender-related data includes various relevant data for the passing of different bidders' tenders, such as the winning bidder's characteristic data, the associated relationship data between the tenderer and the winning bidder, the comparison data, the bidder evaluation data, the evaluation data of the platform party's professional personnel, and the tendency of the bidder group for tendering qualifications. Evaluate the bias score of the tender reference project relative to the tendering qualifications based on the tender-related data, and use the obtained bias score as the tender score of the tender data relative to the user enterprise.

[0033] In one embodiment, determine the historical tender projects that have a reference effect on the tender of the tender data according to the project feature set and each historical project feature set. It can be determined from the way of measuring tender differences such as calculating similarity. For example, consider the historical tender projects with a similarity greater than the preset value as the tender reference projects. It is also possible to preset the reference project standard and directly calibrate according to the reference project standard.

[0034] In one embodiment, evaluate the bias score of the tendering qualifications relative to the reference project based on the tender-related data. It can be evaluated based on the existing methods, such as: Determine the scoring dimensions and indicators Winning bidder association dimension Indicator: Whether there is an equity association, cross-appointment of senior executives, etc. between the tenderer and the winning bidder.

[0035] Scoring rule: If the proportion of winning bidders with an associated relationship in a certain type of project exceeds a certain proportion of the industry average level (such as 20%), points will be deducted for this type of project. The higher the proportion, the more points will be deducted. For example, for every 10% exceeding the industry average level, 5 points will be deducted. If the proportion exceeds 40% of the industry average level, 20 points will be deducted for this dimension.

[0036] Bidder participation dimension Indicator: The number of enterprises participating in the tender, the balance of the distribution of the qualifications of the tendering enterprises, and the dispersion degree of the tender offers.

[0037] Scoring rule: If the number of enterprises participating in the tender in a certain type of project is lower than a certain proportion of the industry average level (such as 30%), points will be deducted; if the qualifications of the tendering enterprises are concentrated in a few types or the tender offers are too concentrated (such as the standard deviation is lower than a certain proportion of the industry average level), points will also be deducted. For example, if the number of enterprises participating in the tender is 30% lower than the industry average level, 10 points will be deducted, 5 points will be deducted for concentrated qualifications, and 5 points will be deducted for concentrated offers.

[0038] Winning bidder characteristic dimension Indicator: The distribution of characteristics such as the scale, nature, and geographical distribution of the winning bidder enterprise.

[0039] Scoring Rules: If the winning bidders of a certain type of project are mostly enterprises of a specific type (for example, the proportion of local large enterprises exceeds a certain percentage of the industry average), points will be deducted. For example, if the winning bid proportion of local large enterprises exceeds 25% of the industry average, 15 points will be deducted.

[0040] Tendering Process Dimension Indicators: Whether the release time of the tender announcement complies with the regulations, whether there is an interest connection between the members of the evaluation committee and the winning bidder, etc.

[0041] Scoring Rules: If the release time of the tender announcement is too short (less than 80% of the specified minimum time), points will be deducted; if there is an interest connection between the members of the evaluation committee and the winning bidder, points will be deducted. For example, if the release time of the tender announcement is too short, 10 points will be deducted, and if there is an interest connection between the members of the evaluation committee and the winning bidder, 15 points will be deducted.

[0042] Setting the Base Score and Scoring Range Base Score Setting: Taking 60 points for no bias as the base score.

[0043] Scoring Range Determination: Set the upper and lower limits of scoring. For example, the scoring range is 0 - 100 points. When all indicators show no bias, 60 points are obtained; if there are obvious factors favoring bidders within the tender qualification category, the score is higher than 60 points; if there are obvious factors not favoring bidders within the tender qualification category (i.e., having bias against other bidders), the score is lower than 60 points.

[0044] Weight Allocation According to the influence degree of each dimension on tender bias, allocate weights to each dimension. For example, the winning bidder connection dimension has a greater influence on bias, and 30% of the weight can be allocated; the bidder participation dimension is allocated 25% of the weight; the winning bidder characteristic dimension is allocated 20% of the weight; the tendering process dimension is allocated 25% of the weight.

[0045] Calculating the Bias Score For each tender project category, score each indicator according to the above scoring rules, and then calculate the bias score of this type of project according to the weights. The calculation formula is: Bias Score = 60 + (Score of Winning Bidder Connection Dimension × 30% + Score of Bidder Participation Dimension × 25% + Score of Winning Bidder Characteristic Dimension × 20% + Score of Tendering Process Dimension × 25%). Among them, the scores of each dimension are calculated according to the point deduction rules and can be negative.

[0046] Verification and Adjustment Expert Verification: The platform invites experts in the field of tender procurement to verify the scoring system, check whether the scoring dimensions, indicators, rules, and weights are reasonable, and whether they can accurately reflect the degree of bias of the tenderer towards the bidders.

[0047] Actual data verification: Use historical data to test the scoring system and check whether the scoring results match the actual situation. If a large deviation is found between the scoring results and the actual situation, adjust the scoring system, such as modifying the scoring rules, adjusting the weights, etc.

[0048] Continuous update With the changes in industry policies and regulations, market environment, and the emergence of new bias phenomena, continuously update the scoring system to ensure that it can accurately evaluate the degree of bias of the tenderer towards the bidder.

[0049] It is also possible to establish an intelligent model for evaluation based on machine learning, deep learning algorithms, etc. The platform party establishes a corresponding training set for training. The training set includes input data and output data. The input data is tender-related data, and the output data is the bias score; evaluate through the successfully trained intelligent model.

[0050] In one embodiment, the determination of the tender qualification category includes: The management personnel of the user enterprise specify several enterprises as similar enterprises, identify the tender qualification data of the similar enterprises, and form a tender qualification category according to the tender qualification data.

[0051] The tender qualification category determined in this way is more accurate because the user enterprise can consider more potential classification factors, such as social relationships, etc.

[0052] In one embodiment, based on the previous embodiment, enterprises with a similarity greater than the threshold X1 to each tender qualification data within the tender qualification category are marked as candidate enterprises. After being determined by the user enterprise, the candidate enterprises are marked as similar enterprises, and then the tender qualification category is supplemented.

[0053] In one embodiment, when determining the tender scoring of the tender data relative to the user enterprise according to the tenderer, it can also be evaluated in other ways, such as directly evaluated by the professional personnel of the platform party, evaluated in combination with artificial intelligence technology, etc.

[0054] In one embodiment, when determining the tender scoring of the tender data relative to the user enterprise according to the tenderer, it includes: Identify the historical tender records of the tenderer of the tender data, identify each historical tender project of the tenderer according to the historical tender records, obtain various qualification collection items, identify the characteristics of the historical tender projects according to the qualification collection items, and obtain the historical project feature set of the corresponding historical tender projects; Classify and merge the historical tender projects according to the historical project feature set to obtain the corresponding tender classification and classification scope; classification can be carried out according to the determination of the tender reference project; the classification scope is the tender project scope corresponding to the tender classification, which is composed of the scope corresponding to the project feature set; Obtain the tender qualification data of the user enterprise, and determine the tender qualification category of the user enterprise according to the tender qualification data; Obtain the historical tender records corresponding to the tender classification, that is, the summary of the historical tender records corresponding to the project feature set within the tender classification; determine the bias score of the tender classification for the tender qualification category according to the historical tender records; Identify the project feature set corresponding to the tender data, match the corresponding tender classification according to the project feature set, and use the bias score corresponding to the tender classification as the tender score of the tender data relative to the user enterprise.

[0055] In one embodiment, the historical tender projects can be classified and merged according to the historical project feature set. The merging can be based on the existing clustering algorithm or the classification method of machine learning, such as decision tree, support vector machine, neural network, etc.; the classification standard is to classify according to the degree of bias towards different bidders. For example, if the biases are the same, they are classified into one category.

[0056] In one embodiment, to determine the bias score of the tender classification for the tender qualification category according to the historical tender records, the bias situation can be determined by summarizing the corresponding winning bid rate, number of winning bids, proportion, etc., and then the bias score can be determined. For example, if the winning bid rate, number of winning bids, proportion, etc. are at the normal level or average level in the historical winning bids, it is regarded as having no bias, 60 points. If it is higher or lower than the average level, corresponding points will be added or deducted according to the degree of being higher or lower.

[0057] The user terminal includes a tender information module, a qualification management module, and a tender module; The tender information module is used for the user enterprise to conduct tender analysis, obtain the tender information form sent by the platform terminal, determine the tender projects that need to be tendered according to the tender information form, and mark them as target projects.

[0058] Generally determined by the management personnel of the user enterprise.

[0059] The qualification management module is used to obtain the tender qualification data of the user enterprise in real time; store the tender qualification data; Identify the target project in real time, obtain the tender data of the target project, and obtain the project qualification data required for the target project from the stored tender qualification data according to the tender data, that is, determine which qualification data are required for the target project according to the tender data, and then extract them correspondingly from the stored tender qualification data; send the project qualification data to the tender module.

[0060] The tender qualification data includes various information required for a user enterprise to participate in tenders, such as business license, organization code certificate, tax registration certificate, legal representative's identity certificate, industry license, project team members' certificates, technical ability certificates (patents, software copyrights, CMA, CNAS certifications), financial status certificates, credit records (AAA-level credit enterprise certificates), and other relevant information.

[0061] In one embodiment, the acquisition of tender qualification data includes: Identifying the industry field to which the user enterprise belongs, determining various qualification data required for tendering based on the historical tender data of that industry field, setting corresponding qualification collection items according to the types of corresponding qualification data, and dynamically updating the qualification collection items based on the corresponding historical tender data; Performing real-time data collection on the user enterprise according to each qualification collection item to obtain single-item collection data for the corresponding qualification collection item; integrating each single-item collection data into tender qualification data.

[0062] The tender module is used for the user enterprise to conduct tender management, obtain tender qualification data, and let the user enterprise set corresponding integrated data such as investment qualification data, tender documents, and other auxiliary materials according to the tender qualification data, mark it as tender submission data, and submit the tender submission data to the corresponding tenderer; and obtain tender status information in real time. The tender status information refers to information related to the target project announced by the tenderer; and display the tender status information to the user enterprise in real time.

[0063] In one embodiment, the tender module manages information collection, display, etc. in the tender process according to existing tender management requirements. For example, through this tender module, it can directly connect to the tenderer's tender system for data upload and data collection.

[0064] In one embodiment, for the preparation of tender documents, it can be directly prepared by the user enterprise, or relevant data on the successful tender of the tender reference project can be obtained from the platform side to facilitate the user enterprise to prepare tender documents targeted.

[0065] The above formulas are all calculated by removing the dimension and taking their numerical values. The formulas are obtained by software simulation of a large amount of collected data to get a formula closest to the actual situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation of a large amount of data.

[0066] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A tender document data management system, characterized in that, It includes a platform side and a user side; The platform side includes a tender information module; the user side includes a bid information module, a qualification management module, and a bidding module; The tender information module is used to collect tender data in real time and generate a corresponding tender information table for each user enterprise according to the bidding requirements of each user enterprise. The tender information table includes tender project information and bid scores of the tender data that meet the bidding requirements; Send the tender information table to the corresponding user side; The bid information module is used for user enterprises to conduct bid analysis, obtain the tender information table sent by the platform side, determine the tender projects that need to be bid according to the tender information table, and mark them as target projects; The qualification management module is used to obtain the bid qualification data of user enterprises in real time; Store the bid qualification data; Identify the target project in real time, obtain the tender data of the target project, obtain the project qualification data from the stored bid qualification data according to the tender data, and send the project qualification data to the bidding module; The bidding module is used for user enterprises to conduct bid management, obtain the bid qualification data, set the corresponding bid submission data according to the bid qualification data, and submit the bid submission data to the corresponding tenderer; And obtain the bid status information in real time, and display the bid status information to the user enterprise in real time.

2. The data management system for tender documents according to claim 1, wherein Generate a tender information table for user enterprises according to the bidding requirements, including: Screen the tender data according to the bidding requirements, obtain the tender data that meets the bidding requirements of the corresponding user enterprise, and identify the corresponding tender project information according to the tender data; Identify the tenderer of the tender data, and determine the bid score of the tender data relative to the user enterprise according to the tenderer; supplement the tender project information and bid scores corresponding to each tender data into a preset tender information table.

3. The data management system for tender documents according to claim 2, characterized in that, Screen the tender data according to the bidding requirements, including: Obtain the bidding requirements of the user enterprise, and set the tender collection items according to the bidding requirements; Conduct feature recognition on the tender data according to the tender collection items to obtain the bid requirement analysis data of the tender data; Calibrate the bid requirement analysis data of each tender data according to the bidding requirements, and eliminate the tender data with a calibration result of unqualified calibration.

4. The data management system for tender documents according to claim 3, characterized in that, Calibrate the bid requirement analysis data of each tender data according to the bidding requirements, including: Establish a requirement calibration model, and the expression of the requirement calibration model is: ； In the formula: (V, B) is the input data, V represents the bid requirement analysis data, B represents the bidding requirements; V→B means that the corresponding bid requirement analysis data meets the bidding requirements; the output data is the calibration value, and the calibration value is 1 or 0; Analyze the bid requirement analysis data through the requirement calibration model to obtain the calibration value of the tender data; When the calibration value is 1, the calibration result is qualified calibration; When the calibration value is 0, the calibration result is unqualified calibration.

5. The data management system for tender documents according to claim 3, characterized in that, Determine the bid score of the tender data relative to the user enterprise according to the tenderer, including: Identify the historical bidding records of the tenderer for the tender data, identify each historical bidding project of the tenderer according to the historical bidding records, obtain various qualification collection items available, identify the characteristics of the historical bidding projects according to the qualification collection items, and obtain the historical project feature sets of the corresponding historical bidding projects; identify the characteristics of the tender data according to the qualification collection items, and obtain the project feature set of the tender data; determine the tender reference project of the tender data according to the project feature set and each historical project feature set; Obtain the tender qualification data of the user enterprise, and determine the tender qualification category of the user enterprise according to the tender qualification data; The platform party collects the tender-related data of the tender reference project, evaluates the bias score of the tender reference project relative to the tender qualification category according to the tender-related data, and uses the bias score as the tender score of the tender data relative to the user enterprise.

6. The data management system for tender documents according to claim 3, wherein Determine the tender score of the tender data relative to the user enterprise according to the tenderer, including: Identify the historical bidding records of the tenderer for the tender data, identify each historical bidding project of the tenderer according to the historical bidding records, obtain various qualification collection items available, identify the characteristics of the historical bidding projects according to the qualification collection items, and obtain the historical project feature sets of the corresponding historical bidding projects; Classify and merge the historical bidding projects according to the historical project feature sets to obtain the corresponding tender classification and classification scope; Obtain the tender qualification data of the user enterprise, and determine the tender qualification category of the user enterprise according to the tender qualification data; Obtain the historical bidding records corresponding to the tender classification, and determine the bias score of the tender classification for the tender qualification category according to the historical bidding records; Identify the project feature set corresponding to the tender data, match the corresponding tender classification according to the project feature set, and use the bias score corresponding to the tender classification as the tender score of the tender data relative to the user enterprise.

7. A tender document data management system according to claim 5 or 6, characterized in that, The determination of the tender qualification category includes: The management personnel of the user enterprise designate several enterprises as similar enterprises, identify the tender qualification data of the similar enterprises, and form a tender qualification category according to the tender qualification data.

8. The data management system for tender documents according to claim 1, wherein The acquisition of the tender qualification data includes: Identify the industry field to which the user enterprise belongs, determine various qualification data required for tendering according to the historical tender data in the industry field, set corresponding qualification collection items according to the corresponding qualification data types, and dynamically update the qualification collection items; Conduct real-time data collection on the user enterprise according to each qualification collection item to obtain the single-item collection data of the corresponding qualification collection item; integrate each single-item collection data into the tender qualification data.

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