Project cost income management system and method

Abstract

The invention discloses a project cost income management system and method, and the system comprises a data integration and analysis system, a cost budget and control system, an income management and optimization system, and a financial four-calculation application and visual report and decision support system, and the data integration and analysis system comprises data integration, big data analysis and artificial intelligence technologies. The beneficial effects of the invention are that: 1, the management efficiency is improved: through an intelligent and refined management means, the efficiency of project cost income management is improved; 2, the cost risk is reduced: the project cost expenditure condition is monitored in real time, the project cost is ensured to be controlled within a budget range, and the risk of hyper-cost is reduced; 3, the profitability is improved, wherein the profitability of the project is improved through optimization of an income structure and fine management; 4, decision support is provided, wherein visual and understandable visual reports and decision support suggestions are provided, and a project manager and a decision maker are helped to make a more intelligent decision.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to a project cost-revenue management system and method. Background Art

[0002] With the increasing complexity of project management, project cost and revenue management has become a key factor in determining the success of a project. Traditional project cost and revenue management methods often rely on manual accounting and forecasting, and have problems such as low efficiency and poor accuracy. With the continuous advancement of technology, modern project management requires more intelligent and sophisticated cost and revenue management tools. Summary of the invention

[0003] The object of the present invention is to provide a project cost and revenue management system and method to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a project cost and revenue management system, including a data integration and analysis system, a cost budget and control system, a revenue management and optimization system, four financial calculation applications and a visual report and decision support system, the data integration and analysis system includes data integration, big data analysis and artificial intelligence technology, the cost budget and control system includes cost budget formulation and real-time monitoring and adjustment, the revenue management and optimization system includes contract management, invoice and accounts receivable management and revenue optimization strategy, the four financial calculation applications include preliminary estimate stage, budget stage, accounting stage and final settlement stage, and the visual report and decision support system includes visual report and decision support suggestions.

[0005] Preferably, data integration: build a unified data platform to integrate multi-dimensional data such as project cost, revenue, budget, and progress. Through API interface or data warehouse technology, extract data from various business systems in real time, and clean, integrate and standardize it; big data analysis: use big data analysis technology to conduct in-depth mining and analysis of integrated data, and through data mining algorithms, discover the correlation and patterns between data to provide data support for project cost forecasting and revenue forecasting; artificial intelligence technology: use artificial intelligence technology, such as machine learning and deep learning, to build a prediction model, improve the accuracy of the prediction by training the model, and provide a decision-making basis for project cost revenue and budget control.

[0006] Preferably, cost budget formulation: formulate a detailed cost budget plan based on the actual situation and demand analysis of the project, combined with historical data and market trends. The budget plan should cover all stages and links of the project, including labor costs, material costs, equipment costs and other expenses; real-time monitoring and adjustment: through the real-time monitoring system, the project cost expenditure is monitored in real time. When the actual cost deviates from the budget plan, the system automatically triggers the early warning mechanism and provides adjustment suggestions. The project team can adjust the cost control strategy in time according to the actual situation to ensure that the project cost is controlled within the budget.

[0007] Preferably, contract management: establish a sound contract management system to ensure the accuracy and completeness of contract information, strictly review the contract terms, and ensure that the project revenue rights and interests are protected; invoice and accounts receivable management: through the invoice management system, real-time record the issuance and collection of project invoices, collect overdue payments, reduce bad debt risks, and at the same time, optimize collection strategies and improve capital recovery efficiency through accounts receivable analysis; revenue optimization strategy: by analyzing market demand, competitive situation and other factors, formulate targeted revenue optimization strategies, such as adjusting product pricing, expanding sales channels, improving product quality, etc., to improve the profitability of the project.

[0008] Preferably, the preliminary estimate stage: at the project start-up stage, preliminary cost and revenue estimates are made according to the preliminary planning and needs of the project to provide a preliminary basis for project decision-making; the budget stage: at the project planning stage, detailed cost budget and revenue budget plans are formulated in combination with the actual situation and needs of the project to provide clear guidance for the implementation and control of the project; the accounting stage: during the implementation of the project, real-time accounting of project costs and revenues is carried out, and deviations are discovered and corrected in a timely manner by comparing and analyzing actual costs and budgeted costs, actual revenues and budgeted revenues; the final settlement stage: after the project is completed, the final settlement of project costs and revenues is made, and the lessons learned from the project are summarized to provide reference for future projects.

[0009] Preferably, visual reports: through data visualization technology, project cost and income data are presented in the form of charts, reports, etc., to help project managers and decision makers intuitively understand the financial status of the project; decision support suggestions: based on data analysis results, provide targeted decision support suggestions, such as cost control strategies and income optimization strategies, to help project teams make more informed decisions.

[0010] A project cost-revenue management method comprises the following steps:

[0011] A. Carry out cost estimation, cost budget, revenue forecast and cost-revenue analysis after the project starts;

[0012] B. Make decisions and make adjustments after conducting risk assessment and management;

[0013] C. Through cost control measures, revenue enhancement strategies, project audits and evaluations;

[0014] D. The project ends after completion and summary.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] 1. Improve management efficiency: Improve the efficiency of project cost and revenue management through intelligent and refined management methods; 2. Reduce cost risks: Monitor project cost expenditure in real time to ensure that project costs are within the budget and reduce the risk of cost overruns; 3. Improve profitability: Improve project profitability by optimizing revenue structure and refined management; 4. Provide decision support: Provide intuitive and easy-to-understand visual reports and decision support suggestions to help project managers and decision makers make more informed decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on 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.

[0019] See also Figure 1 A project cost and revenue management system includes a data integration and analysis system, a cost budget and control system, a revenue management and optimization system, a financial four-calculation application, and a visual report and decision support system. The data integration and analysis system includes data integration, big data analysis, and artificial intelligence technology. The cost budget and control system includes cost budget formulation and real-time monitoring and adjustment. The revenue management and optimization system includes contract management, invoice and accounts receivable management, and revenue optimization strategies. The financial four-calculation application includes the preliminary estimate stage, the budget stage, the accounting stage, and the final settlement stage. The visual report and decision support system includes visual reports and decision support suggestions.

[0020] Data integration: Build a unified data platform to integrate multi-dimensional data such as project cost, revenue, budget, and progress. Through API interfaces or data warehouse technology, extract data from various business systems in real time, and clean, integrate, and standardize data. Big data analysis: Use big data analysis technology to conduct in-depth mining and analysis of integrated data. Through data mining algorithms, discover the correlation and patterns between data to provide data support for project cost forecasting and revenue forecasting. Artificial intelligence technology: Use artificial intelligence technology, such as machine learning and deep learning, to build prediction models. By training models, the accuracy of predictions can be improved to provide a decision-making basis for project cost, revenue, and budget control.

[0021] Cost budget formulation: Based on the actual situation and demand analysis of the project, combined with historical data and market trends, formulate a detailed cost budget plan. The budget plan should cover all stages and links of the project, including labor costs, material costs, equipment costs and other expenses; Real-time monitoring and adjustment: Through the real-time monitoring system, the project cost expenditure is monitored in real time. When the actual cost deviates from the budget plan, the system automatically triggers the early warning mechanism and provides adjustment suggestions. The project team can adjust the cost control strategy in time according to the actual situation to ensure that the project cost is controlled within the budget.

[0022] Contract management: Establish a sound contract management system to ensure the accuracy and completeness of contract information, strictly review contract terms, and ensure that project revenue rights and interests are protected; Invoice and accounts receivable management: Through the invoice management system, the issuance and collection of project invoices are recorded in real time, and overdue payments are collected to reduce bad debt risks. At the same time, through accounts receivable analysis, collection strategies are optimized to improve capital recovery efficiency; Revenue optimization strategy: By analyzing market demand, competitive situation and other factors, formulate targeted revenue optimization strategies, such as adjusting product pricing, expanding sales channels, improving product quality, etc., to improve project profitability.

[0023] Preliminary estimate stage: At the project start-up stage, preliminary cost and revenue estimates are made based on the preliminary planning and needs of the project to provide a preliminary basis for project decision-making; Budget stage: At the project planning stage, detailed cost budget and revenue budget plans are formulated in combination with the actual situation and needs of the project to provide clear guidance for project implementation and control; Accounting stage: During the project implementation process, real-time accounting of project costs and revenues is carried out, and deviations are discovered and corrected in a timely manner by comparing and analyzing actual costs and budgeted costs, actual revenues and budgeted revenues; Final settlement stage: After the project is completed, final settlement of project costs and revenues is carried out, and the project experiences and lessons are summarized to provide reference for future projects.

[0024] Visual report: Through data visualization technology, project cost and revenue data are presented in the form of charts, reports, etc., to help project managers and decision makers intuitively understand the financial status of the project; Decision support suggestions: Based on data analysis results, provide targeted decision support suggestions, such as cost control strategies and revenue optimization strategies, to help project teams make more informed decisions.

[0025] A project cost-revenue management method comprises the following steps:

[0026] A. Carry out cost estimation, cost budget, revenue forecast and cost-revenue analysis after the project starts;

[0027] B. Make decisions and make adjustments after conducting risk assessment and management;

[0028] C. Through cost control measures, revenue enhancement strategies, project audits and evaluations;

[0029] D. The project ends after completion and summary.

[0030] 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 project cost and revenue management system, including a data integration and analysis system, a cost budget and control system, a revenue management and optimization system, a financial four-calculation application, and a visual report and decision support system, characterized by: The data integration and analysis system includes data integration, big data analysis and artificial intelligence technology. The cost budget and control system includes cost budget formulation and real-time monitoring and adjustment. The revenue management and optimization system includes contract management, invoice and accounts receivable management and revenue optimization strategy. The four financial calculation applications include the preliminary estimate stage, budget stage, accounting stage and final settlement stage. The visual report and decision support system includes visual reports and decision support suggestions.

2. A project cost and income management system according to claim 1, characterized in that: Data integration: Build a unified data platform to integrate multi-dimensional data such as project cost, revenue, budget, and progress. Through API interfaces or data warehouse technology, extract data from various business systems in real time, and clean, integrate, and standardize data. Big data analysis: Use big data analysis technology to conduct in-depth mining and analysis of integrated data. Through data mining algorithms, discover the correlation and patterns between data to provide data support for project cost forecasting and revenue forecasting. Artificial intelligence technology: Use artificial intelligence technology, such as machine learning and deep learning, to build prediction models. By training models, the accuracy of predictions can be improved to provide a decision-making basis for project cost, revenue, and budget control.

3. A project cost and income management system according to claim 1, characterized in that: Cost budget formulation: Based on the actual situation and demand analysis of the project, combined with historical data and market trends, formulate a detailed cost budget plan. The budget plan should cover all stages and links of the project, including labor costs, material costs, equipment costs and other expenses; Real-time monitoring and adjustment: Through the real-time monitoring system, the project cost expenditure is monitored in real time. When the actual cost deviates from the budget plan, the system automatically triggers the early warning mechanism and provides adjustment suggestions. The project team can adjust the cost control strategy in time according to the actual situation to ensure that the project cost is controlled within the budget.

4. A project cost and income management system according to claim 1, characterized in that: Contract management: Establish a sound contract management system to ensure the accuracy and completeness of contract information, strictly review contract terms, and ensure that project revenue rights and interests are protected; Invoice and accounts receivable management: Through the invoice management system, the issuance and collection of project invoices are recorded in real time, and overdue payments are collected to reduce bad debt risks. At the same time, through accounts receivable analysis, collection strategies are optimized to improve capital recovery efficiency; Revenue optimization strategy: By analyzing market demand, competitive situation and other factors, formulate targeted revenue optimization strategies, such as adjusting product pricing, expanding sales channels, improving product quality, etc., to improve project profitability.

5. A project cost and income management system according to claim 1, characterized in that: Preliminary estimate stage: At the project start-up stage, preliminary cost and revenue estimates are made based on the preliminary planning and needs of the project to provide a preliminary basis for project decision-making; Budget stage: At the project planning stage, detailed cost budget and revenue budget plans are formulated in combination with the actual situation and needs of the project to provide clear guidance for project implementation and control; Accounting stage: During the project implementation process, real-time accounting of project costs and revenues is carried out, and deviations are discovered and corrected in a timely manner by comparing and analyzing actual costs and budgeted costs, actual revenues and budgeted revenues; Final settlement stage: After the project is completed, final settlement of project costs and revenues is carried out, and the project experiences and lessons are summarized to provide reference for future projects.

6. A project cost and income management system according to claim 1, characterized in that: Visual report: Through data visualization technology, project cost and revenue data are presented in the form of charts, reports, etc., to help project managers and decision makers intuitively understand the financial status of the project; Decision support suggestions: Based on data analysis results, provide targeted decision support suggestions, such as cost control strategies and revenue optimization strategies, to help project teams make more informed decisions.

7. A project cost and income management method, characterized by: The following steps are involved: A. Carry out cost estimation, cost budget, revenue forecast and cost-revenue analysis after the project starts; B. Make decisions and make adjustments after conducting risk assessment and management; C. Through cost control measures, revenue enhancement strategies, project audits and evaluations; D. The project ends after completion and summary.

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