Bidding process optimization method and system based on large model

Abstract

The invention relates to the technical field of large models, in particular to a bidding process optimization method and system based on a large model, and the method comprises the following steps: automatic bidding collection and intelligent screening, intelligent business opportunity analysis and priority ranking, automatic PMS system project establishment and document generation, intelligent bidding start meeting preparation and meeting optimization, and budget approval and optimization suggestion. Automatic bidding margin and application management, process global monitoring and intelligent early warning; the bidding process optimization method and system based on the large model have the beneficial effects that the bidding information can be automatically extracted and screened from a plurality of data sources through the large model, manual intervention is reduced, and the information collection time is shortened. Compared with a traditional manual mode, the efficiency is remarkably improved, and important information is not prone to being missed.

Description

Technical Field

[0001] The present invention relates to the technical field of large models, and in particular to a bidding process optimization method and system based on large models. Background Art

[0002] The existing bidding process faces a series of challenges, which stem from the inefficiency of information collection and processing, the subjectivity of business opportunity evaluation, the cumbersomeness of document generation and management, the complexity of process coordination and management, the inadequate compliance checks, the pressure of bidding costs and time, the barriers to communication and collaboration, and the lack of continuous optimization mechanisms.

[0003] These problems lead to delays in obtaining bid information, information overload, inaccurate decision-making, delays in process execution, increased compliance risks, and time urgency. There is an urgent need to optimize and improve them by introducing advanced technologies and methods to improve the overall performance of the bidding process and the market competitiveness of enterprises. Summary of the invention

[0004] The purpose of the present invention is to provide a bidding process optimization method and system based on a large model to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a bidding process optimization method based on a large model, the method comprising the following steps:

[0006] Automatic bidding information collection and intelligent screening: Natural language processing (NLP) technology is used to deeply analyze unstructured texts on web pages, emails, and announcements through big models, automatically identifying and accurately extracting bidding information; at the same time, the text classification and filtering capabilities of the big model are applied to intelligently classify and screen the collected bidding information to ensure the accuracy and relevance of the information;

[0007] Intelligent business opportunity analysis and priority sorting: Based on the data analysis capabilities of the big model, combined with historical bidding data, market trends, and dynamic multi-dimensional information of competitors, in-depth mining and prediction are carried out; a comprehensive report containing detailed analysis and evaluation results is generated to provide decision makers with intelligent business opportunity priority sorting suggestions, reduce the deviation of human decision-making, and improve the efficiency and accuracy of business opportunity management;

[0008] Automated PMS system project establishment and document generation: Using the natural language generation (NLG) technology of the large model, project establishment documents that meet the company's specifications and standards are automatically generated based on the project requirements and types provided by the user; at the same time, the project establishment process is automated;

[0009] Intelligent bidding kick-off meeting preparation and meeting optimization: Use large models to process and analyze large amounts of relevant data to generate competitive product analysis reports, risk assessment reports, and key meeting materials for project plans; use historical data to optimize team division of labor and time arrangements;

[0010] Budget approval and optimization suggestions: Based on the cost prediction capability of the big model, combined with historical data and market trends, preliminary budget estimates are automatically generated; by simulating cost changes under different scenarios, optimization suggestions are provided; the budget approval process is automated to improve approval speed and accuracy;

[0011] Automated bid bond and application management: Use big models to trigger the bid bond payment process and track payment status through system integration; automatically generate and submit relevant application documents, set up smart reminders, and ensure the smooth progress of the bid bond payment and application management process;

[0012] Global process monitoring and intelligent early warning: Use the big model to monitor each link of the bidding process in real time, process data from different sources, and generate dynamic process progress reports; identify potential problems in advance, send intelligent reminders, ensure that the process proceeds as planned, and reduce delays and accidents.

[0013] Preferably, the automatic bidding information collection and intelligent screening steps also include real-time updating and dynamic tracking of bidding information to ensure the timeliness and accuracy of the information.

[0014] Preferably, the intelligent business opportunity analysis and prioritization step also includes in-depth analysis and prediction of competitor strategies, providing decision makers with more comprehensive business opportunity analysis and decision support.

[0015] Preferably, the automated PMS system project establishment and document generation steps also include intelligent analysis and classification of project requirements, and automatic generation of project establishment document templates that meet specific project requirements.

[0016] Preferably, the global monitoring and intelligent early warning steps of the process also include intelligent monitoring and risk assessment of key nodes in the bidding process, providing targeted optimization suggestions and improvement measures to ensure the smooth progress and successful implementation of the bidding process.

[0017] A bidding process optimization system based on a large model is applied to a bidding process optimization method based on a large model, and the system includes:

[0018] Automatic bidding information collection module, used to scan web pages, emails, and announcements, automatically identify and extract bidding information;

[0019] Text classification module, used to classify and filter the collected information;

[0020] Business opportunity analysis module, used to analyze historical bidding success rates, market trends, competitor dynamics, and generate comprehensive reports;

[0021] Project establishment document generation module, used to automatically generate standardized project establishment documents;

[0022] Bidding kick-off meeting support module, used to generate competitive product analysis reports, risk assessments, and project plans;

[0023] The budget review and approval module is used to make cost forecasts based on historical data, automatically generate preliminary budget estimates, and provide optimization suggestions;

[0024] The bid bond management module is used to trigger the payment process of the bid bond, track the payment status, and automatically generate and submit relevant application documents;

[0025] The process monitoring module is used to monitor each link of the bidding process in real time, generate dynamic process progress reports, and identify potential problems in advance.

[0026] Preferably, the automatic information collection module further includes natural language processing (NLP) technology for processing and understanding natural language text.

[0027] Preferably, the business opportunity analysis module further includes data analysis and prediction algorithms for performing multi-dimensional analysis.

[0028] Preferably, the project document generation module further includes natural language generation (NLG) technology for generating document content that complies with company specifications.

[0029] Preferably, the budget approval module further includes a cost prediction model for simulating cost changes under different scenarios;

[0030] The bid bond management module further includes a payment status tracking mechanism to ensure the smooth progress of the bid bond payment process;

[0031] The process monitoring module further includes real-time data processing and analysis functions for generating dynamic process progress reports.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The bidding process optimization method and system based on the big model proposed in the present invention can automatically extract and filter bidding information from multiple data sources through the big model, reduce manual intervention, and shorten the time for information collection. Compared with the traditional manual method, the efficiency is significantly improved and it is not easy to miss important information.

[0034] Business opportunity evaluation based on big models relies on historical data and real-time market information, and is analyzed through complex algorithms to provide more scientific decision support. Compared with traditional methods that rely on experience, decisions are more accurate and objective, reducing human bias. Predicting bidding success rates and project profits helps decision makers better select and prioritize high-value projects.

[0035] The big model integrates an automated process management system that can coordinate the work of each link, ensure the smooth operation of the process, and reduce manual intervention and coordination burden. Compared with the traditional decentralized process management method, the overall efficiency and coordination are significantly improved. Management can monitor the progress of the process in real time through the global view of the big model, identify problems in time and make adjustments, reducing process delays and uncertainties.

[0036] The big model automatically performs compliance checks when generating documents and executing processes to ensure compliance with relevant laws and regulations, contract terms and internal company policies, thereby reducing compliance risks. Compared with traditional manual checks, it reduces the risk of missed inspections and misjudgments.

[0037] The big model can learn from process execution, continuously optimize the process, identify bottlenecks and inefficient links, and make suggestions for improvement. This continuous improvement mechanism makes the process more and more efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flow chart of the method of the present invention;

[0039] Figure 2 This is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose and technical solution of the present invention clearly and completely described, and the advantages more clearly understood, the embodiments of the present invention are further described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present invention, rather than all of the embodiments, and are only used to explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention. All other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] For example, see Figure 1 The present invention provides a technical solution: a bidding process optimization method based on a large model, the method comprising the following steps:

[0042] The bidding process usually includes collecting bidding information, establishing business opportunities, PMS system project establishment, bidding kick-off meeting, budget approval, bidding deposit and bidding application. Only after the bidding application is approved can the bidding be carried out in compliance with regulations. In order to improve bidding efficiency, big model technology is used to optimize from the following aspects:

[0043] 1. Automatic bidding information collection and screening

[0044] Technology used: Natural Language Processing (NLP): The big model is good at processing and understanding natural language texts, and can extract key information from various unstructured texts. Using NLP technology, the big model can scan web pages, emails, announcements, etc., automatically identify and extract bidding information. Using the text classification capabilities of the big model, the collected bidding information is classified and filtered to ensure that only relevant bidding information is selected.

[0045] Optimization effect: Automated bidding information collection and screening speeds up bidding information discovery and reduces the burden of manual screening.

[0046] 2. Intelligent business opportunity analysis and priority assessment

[0047] Technology used: The big model can perform complex data analysis and prediction based on historical data and current market information. For example, it can analyze historical bidding success rates, market trends, competitor dynamics, etc. It can generate comprehensive reports through multi-dimensional analysis to help decision makers prioritize business opportunities.

[0048] Optimization effect: Provide intelligent business opportunity analysis and priority assessment, reduce human decision-making bias, and improve business opportunity management efficiency.

[0049] 3. Intelligent PMS system project establishment

[0050] Technology used: Based on the project requirements and types provided by the user, the big model can automatically generate standardized project documents. This relies on the natural language generation (NLG) capabilities of the big model, which can generate document content that meets company specifications.

[0051] Optimization effect: Accelerate the generation of project documents, reduce manual input errors, and ensure the integrity and consistency of information.

[0052] 4. Preparation and support for the smart bidding kick-off meeting

[0053] Technology used: Use big models to generate key materials needed for kick-off meetings, such as competitive product analysis reports, risk assessments, and project plans. Big models process large amounts of relevant data to generate accurate and insightful reports. Optimize team division of labor and time scheduling based on historical data to ensure efficient use of resources.

[0054] Optimization effect: Reduce meeting preparation time and improve the pertinence and effectiveness of meetings.

[0055] 5. Budget approval and optimization

[0056] Technology used: It can make cost forecasts based on a large amount of historical data and automatically generate preliminary estimates. The model can also simulate cost changes under different scenarios, provide optimization suggestions, and automatically submit for approval through the integrated system.

[0057] Optimization effect: Improve the accuracy of budget estimates and the speed of approval, and reduce human errors.

[0058] 6. Automated bid bond and application management

[0059] Technology used: The big model can trigger the payment process of the bid deposit and track the payment status through system integration. Based on the application requirements, the big model can automatically generate and submit relevant application documents and set intelligent reminders at the process nodes.

[0060] Optimization effect: Ensure the smooth progress of bid deposit payment and application management process, and reduce human delays.

[0061] 7. Global process monitoring and intelligent reminders

[0062] Technology used: Real-time data processing and analysis: The big model can monitor all aspects of the bidding process in real time, process data from different sources, and generate dynamic process progress reports. It can identify potential problems in the process in advance and send reminders to prevent delays or errors.

[0063] Optimization effect: Achieve global visualization of the process to ensure that the process proceeds as planned and reduce delays and accidents.

[0064] Embodiment 2, based on embodiment 1, proposes a bidding process optimization system based on a large model, which is applied to the bidding process optimization method based on a large model. The system includes:

[0065] The automatic bidding information collection module is used to scan web pages, emails, and announcements to automatically identify and extract bidding information; it further includes natural language processing (NLP) technology to process and understand natural language text.

[0066] Text classification module, used to classify and filter the collected information;

[0067] The business opportunity analysis module is used to analyze historical bidding success rates, market trends, competitor dynamics, and generate comprehensive reports; it further includes data analysis and prediction algorithms for multi-dimensional analysis.

[0068] The project document generation module is used to automatically generate standardized project documents; it further includes natural language generation (NLG) technology to generate document content that complies with company specifications.

[0069] Bidding kick-off meeting support module, used to generate competitive product analysis reports, risk assessments, and project plans;

[0070] The budget approval module is used to make cost forecasts based on historical data, automatically generate preliminary budget estimates, and provide optimization suggestions; it further includes a cost forecasting model to simulate cost changes under different scenarios.

[0071] The bid bond management module is used to trigger the payment process of the bid bond, track the payment status, and automatically generate and submit relevant application documents; it further includes a payment status tracking mechanism to ensure the smooth progress of the bid bond payment process.

[0072] The process monitoring module is used to monitor each link of the bidding process in real time, generate dynamic process progress reports, and identify potential problems in advance; it further includes real-time data processing and analysis functions to generate dynamic process progress reports.

[0073] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A bidding process optimization method based on a large model, characterized by: The method comprises the following steps: Automatic bidding information collection and intelligent screening: Natural language processing (NLP) technology is used to deeply analyze unstructured texts on web pages, emails, and announcements through big models, automatically identifying and accurately extracting bidding information; at the same time, the text classification and filtering capabilities of the big model are applied to intelligently classify and screen the collected bidding information to ensure the accuracy and relevance of the information; Intelligent business opportunity analysis and priority sorting: Based on the data analysis capabilities of the big model, combined with historical bidding data, market trends, and dynamic multi-dimensional information of competitors, in-depth mining and prediction are carried out; a comprehensive report containing detailed analysis and evaluation results is generated to provide decision makers with intelligent business opportunity priority sorting suggestions, reduce the deviation of human decision-making, and improve the efficiency and accuracy of business opportunity management; Automated PMS system project establishment and document generation: Using the natural language generation (NLG) technology of the large model, project establishment documents that meet the company's specifications and standards are automatically generated based on the project requirements and types provided by the user; at the same time, the project establishment process is automated; Intelligent bidding kick-off meeting preparation and meeting optimization: Use large models to process and analyze large amounts of relevant data to generate competitive product analysis reports, risk assessment reports, and key meeting materials for project plans; use historical data to optimize team division of labor and time arrangements; Budget approval and optimization suggestions: Based on the cost prediction capability of the big model, combined with historical data and market trends, preliminary budget estimates are automatically generated; by simulating cost changes under different scenarios, optimization suggestions are provided; the budget approval process is automated to improve approval speed and accuracy; Automated bid bond and application management: Use big models to trigger the bid bond payment process and track payment status through system integration; automatically generate and submit relevant application documents, set up smart reminders, and ensure the smooth progress of the bid bond payment and application management process; Global process monitoring and intelligent early warning: Use the big model to monitor each link of the bidding process in real time, process data from different sources, and generate dynamic process progress reports; identify potential problems in advance, send intelligent reminders, ensure that the process proceeds as planned, and reduce delays and accidents.

2. The bidding process optimization method based on a large model according to claim 1 is characterized by: The automatic bidding information collection and intelligent screening steps also include real-time updating and dynamic tracking of bidding information to ensure the timeliness and accuracy of the information.

3. The bidding process optimization method based on a large model according to claim 1 is characterized in that: The intelligent business opportunity analysis and prioritization steps also include in-depth analysis and prediction of competitor strategies, providing decision makers with more comprehensive business opportunity analysis and decision support.

4. The bidding process optimization method based on a large model according to claim 1 is characterized in that: The automated PMS system project establishment and document generation steps also include intelligent analysis and classification of project requirements, and automatic generation of project establishment document templates that meet specific project requirements.

5. The bidding process optimization method based on a large model according to claim 1 is characterized in that: The global process monitoring and intelligent early warning steps also include intelligent monitoring and risk assessment of key nodes in the bidding process, providing targeted optimization suggestions and improvement measures to ensure the smooth progress and successful implementation of the bidding process.

6. A bidding process optimization system based on a large model, applied to the bidding process optimization method based on a large model according to any one of claims 1 to 5, characterized in that: The system comprises: Automatic bidding information collection module, used to scan web pages, emails, and announcements, automatically identify and extract bidding information; Text classification module, used to classify and filter the collected information; Business opportunity analysis module, used to analyze historical bidding success rates, market trends, competitor dynamics, and generate comprehensive reports; Project establishment document generation module, used to automatically generate standardized project establishment documents; Bidding kick-off meeting support module, used to generate competitive product analysis reports, risk assessments, and project plans; The budget review and approval module is used to make cost forecasts based on historical data, automatically generate preliminary budget estimates, and provide optimization suggestions; The bid bond management module is used to trigger the payment process of the bid bond, track the payment status, and automatically generate and submit relevant application documents; The process monitoring module is used to monitor each link of the bidding process in real time, generate dynamic process progress reports, and identify potential problems in advance.

7. The bidding process optimization system based on a large model according to claim 6 is characterized by: The automatic information collection module further includes natural language processing (NLP) technology for processing and understanding natural language text.

8. The bidding process optimization system based on a large model according to claim 6 is characterized by: The business opportunity analysis module further includes data analysis and prediction algorithms for multi-dimensional analysis.

9. The bidding process optimization system based on a large model according to claim 6 is characterized by: The project document generation module further includes natural language generation (NLG) technology, which is used to generate document content that complies with company specifications.

10. The bidding process optimization system based on a large model according to claim 6 is characterized by: The budget approval module further includes a cost forecasting model to simulate cost changes under different scenarios; The bid bond management module further includes a payment status tracking mechanism to ensure the smooth progress of the bid bond payment process; The process monitoring module further includes real-time data processing and analysis functions for generating dynamic process progress reports.

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