Intelligent tax risk assessment and early warning system

Abstract

The invention provides an intelligent tax risk assessment and early warning system, and belongs to the technical field of tax risk assessment. Comprising a data acquisition and integration module used for automatically acquiring and efficiently integrating tax data and providing a solid data basis for subsequent risk assessment and analysis, and a risk assessment module used for performing multi-dimensional and deep analysis on the tax data of an enterprise, identifying potential tax risk points and providing a risk assessment result for the enterprise. And quantitative evaluation is carried out according to the severity of the risk, so that a visual and accurate risk evaluation result is provided for an enterprise. By arranging the data acquisition and integration module, the risk assessment module and the risk early warning module, tax data can be acquired, the acquired data can be analyzed, the data can be subjected to risk assessment, meanwhile, early warning information is sent out according to a risk assessment result, a traditional management mode is effectively replaced, loss of an enterprise is avoided, and use requirements are met.

Description

Technical Field

[0001] The present invention relates to the technical field of tax risk assessment, and more particularly, to an intelligent tax risk assessment and early warning system. Background Art

[0002] In the wave of the digital age, enterprise tax management is facing unprecedented challenges and opportunities. With the increasing complexity of tax policies and the continuous strengthening of tax supervision, and the large and constantly updated tax laws and regulations system, enterprises may commit violations with a slight oversight in tax declaration, tax payment, etc. The traditional tax management mode is difficult to meet the needs of enterprises for high efficiency, accuracy, and compliance. Tax risks may bring huge financial losses to enterprises. For example, if an enterprise fails to evaluate and control tax risks in a timely manner, once a tax problem occurs, it may need to pay huge amounts of tax supplements, fines, etc., which will have a serious impact on the enterprise's cash flow and financial situation, and even lead to a series of serious problems such as enterprise bankruptcy. Therefore, we propose an intelligent tax risk assessment and early warning system to solve the above problems. Summary of the Invention

[0003] To make up for the above deficiencies, the present invention provides an intelligent tax risk assessment and early warning system that overcomes the above technical problems or at least partially solves the above problems.

[0004] The present invention is implemented as follows:

[0005] The present invention provides an intelligent tax risk assessment and early warning system, including:

[0006] A data collection and integration module for automatically collecting and efficiently integrating tax data to provide a solid data foundation for subsequent risk assessment and analysis;

[0007] A risk assessment module for multi-dimensional and in-depth analysis of an enterprise's tax data, identifying potential tax risk points, and quantitatively evaluating them according to the severity of the risks to provide intuitive and accurate risk assessment results for the enterprise;

[0008] A risk early warning module for sending risk early warning prompts to the enterprise's tax management personnel and relevant responsible persons, and the early warning information includes the type and level of the risk;

[0009] A decision-making module for providing comprehensive decision-making support and risk response strategies for the enterprise and giving suggestions to the enterprise.

[0010] In a preferred embodiment, the data collection and integration module includes a data collection module and an integration module. Data collection includes financial statement data, invoice data, tax declaration data, bank statement data, etc. of the enterprise, all of which will be collected, integrated, and standardized. The data collection module also includes a storage module for saving the collected data, and historical data can also be retrieved from the storage module.

[0011] In a preferred embodiment, the integration module includes an internal data integration module, an external data access module, and a data quality management module. The data integration module is used to extract, clean, and transform tax-related data from different business systems within the enterprise (such as financial systems, ERP systems, sales systems, etc.), and uniformly store it in a data warehouse to achieve centralized management of data, providing comprehensive and accurate data support for subsequent analysis and early warning.

[0012] In a preferred embodiment, the external data access module is used to connect to external data sources, such as tax authority websites, industry data platforms, macroeconomic data websites, etc., to obtain external information such as tax policies and regulations, industry tax burden standards, and economic situation data, and combine it with the enterprise's internal data to enrich the data dimension and improve the accuracy and comprehensiveness of risk early warning. The data quality management module is used to monitor and manage the quality of the integrated data, including checking the accuracy, integrity, and consistency of the data, promptly discovering and correcting errors and anomalies in the data, and ensuring that the data quality meets the requirements of the risk early warning system.

[0013] In a preferred embodiment, the risk assessment module includes a risk feature extraction and modeling module and a real-time risk assessment and monitoring module. The risk feature extraction and modeling module uses artificial intelligence algorithms such as data mining and machine learning techniques to extract feature variables related to tax risks from the preprocessed data, and input these feature variables into a risk assessment model for training and optimization to construct a model that can accurately identify and assess tax risks. The real-time risk assessment and monitoring module is used for the system to continuously conduct risk assessment and monitoring on the enterprise's real-time tax data based on the constructed risk assessment model. Once data anomalies or risk indicators exceed the preset thresholds, the system will immediately trigger a risk early warning mechanism.

[0014] In a preferred embodiment, the risk warning module includes a model establishment module, a training module, and a risk level module. The model establishment module uses machine learning algorithms such as decision trees, random forests, support vector machines, etc. to establish a tax risk assessment model, and uses a large amount of historical data to train and optimize the model so that the model can accurately identify different types of tax risk patterns. During the training process, the parameters and structure of the model are continuously adjusted to improve the accuracy and generalization ability of the model. Historical data is used and real-time data from the Internet is input into the system for modeling to form a system model.

[0015] In a preferred embodiment, the training module is used based on the established model. The real-time data of the enterprise is input into the established risk assessment model. The system will integrate and analyze the data in the model, output the risk assessment result through the model, and the risk level will also participate in the work. By matching the output risk assessment result with the risk level, such as risk level, risk probability, etc., for enterprises with a higher risk level, the system automatically issues a warning signal to remind the enterprise management and tax personnel to pay attention and provides corresponding risk response suggestions.

[0016] In a preferred embodiment, the decision-making module includes a data support module, a risk analysis module, a strategy generation module, and a decision evaluation module. The data support module further includes a data mining and analysis module. The data mining and analysis module uses data mining techniques such as association rule mining, clustering analysis, anomaly detection, etc. to deeply analyze the massive data, discover the hidden patterns, trends, and relationships in the data, extract valuable information and features, and provide data support for tax risk decision-making.

[0017] In a preferred embodiment, the risk analysis module further includes a risk identification module. The risk analysis module uses a preset risk identification model and algorithm to scan and analyze the collected data, identify various tax risks that the enterprise may face, such as value-added tax risks, corporate income tax risks, invoice risks, etc., determine the specific manifestation forms of the risks and the possible impacts, and the strategy generation module generates targeted tax risk response strategies and solutions according to the results of the risk analysis, combined with factors such as the enterprise's business objectives, financial status, and tax planning needs, using technologies such as expert systems and intelligent algorithms, such as adjusting the business process, optimizing the tax planning plan, and strengthening internal management.

[0018] In a preferred solution, the decision evaluation module is used in cooperation with the policy generation module. The decision evaluation module evaluates the implemented risk response strategies and decision-making effects. By comparing the changes in risk indicators, financial data, compliance situations, etc. before and after the decision, it analyzes whether the decision has achieved the expected risk control objectives and effectively reduced tax risks. According to the evaluation results, it timely feedbacks the problems and deficiencies existing in the decision implementation process, provides lessons for subsequent decisions, and adjusts and optimizes the relevant parameters, models, and strategies of the decision module to improve the scientificity and effectiveness of the decision.

[0019] The beneficial effects of an intelligent tax risk assessment and early warning system provided by the present invention include:

[0020] By setting up a data collection and integration module, a risk assessment module, and a risk early warning module, tax data can be collected, the collected data can be analyzed, risk assessment of the data can be carried out, and at the same time, early warning information is sent according to the results of the risk assessment. This system also sets up a decision module in the system. The decision module can make corresponding countermeasures according to the evaluation results of the system on the data, so as to provide suggestions for enterprise personnel, effectively replace the traditional management method, avoid losses to the enterprise, and meet the use requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0022] Figure 1 is the system block diagram of the present invention;

[0023] Figure 2 is the system block diagram of the data collection and integration module of the present invention;

[0024] Figure 3 is the risk assessment block diagram of the present invention;

[0025] Figure 4 is the system block diagram of the decision module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0027] Embodiment

[0028] Refer to Figures 1-4 , the present invention provides a technical solution: an intelligent tax risk assessment and early warning system, including a data collection and integration module for automatically collecting and efficiently integrating tax data to provide a solid data foundation for subsequent risk assessment and analysis, a risk assessment module for multi-dimensional and in-depth analysis of an enterprise's tax data, identifying potential tax risk points, and quantitatively evaluating according to the severity of the risks to provide intuitive and accurate risk assessment results for the enterprise, a risk early warning module for sending risk early warning prompts to the enterprise's tax management personnel and relevant responsible persons, and the early warning information includes the type and level of the risk, and a decision-making module for providing comprehensive decision-making support and risk response strategies for the enterprise and giving suggestions to the enterprise.

[0029] In a preferred embodiment, the data collection and integration module includes a data collection module and an integration module. The data collection includes the enterprise's financial statement data, invoice data, tax declaration data, bank statement data, etc., all of which will be collected and integrated and standardized. And the data collection module includes a storage module for saving the collected data, and historical data can also be retrieved from the storage module.

[0030] In a preferred embodiment, the integration module includes an internal data integration module, an external data access module, and a data quality management module. The data integration module is used to extract, clean, and transform tax-related data in different internal business systems of the enterprise (such as financial systems, ERP systems, sales systems, etc.), and uniformly store them in a data warehouse to achieve centralized management of data and provide comprehensive and accurate data support for subsequent analysis and early warning.

[0031] In a preferred embodiment, the external data access module is used to connect to external data sources, such as tax authority websites, industry data platforms, macroeconomic data websites, etc., to obtain external information such as tax policies and regulations, industry tax burden standards, and economic situation data, and combine it with the enterprise's internal data to enrich the data dimension and improve the accuracy and comprehensiveness of risk warning. The data quality management module is used to monitor and manage the quality of the integrated data, including checking the accuracy, integrity, and consistency of the data, promptly discovering and correcting errors and anomalies in the data, and ensuring that the data quality meets the requirements of the risk warning system.

[0032] The risk assessment module includes a risk feature extraction and modeling module and a real-time risk assessment and monitoring module. The risk feature extraction and modeling module uses artificial intelligence algorithms such as data mining and machine learning techniques to extract feature variables related to tax risks from the preprocessed data, and input these feature variables into the risk assessment model for training and optimization to construct a model that can accurately identify and evaluate tax risks. The real-time risk assessment and monitoring module is used for the system to continuously conduct risk assessment and monitoring on the enterprise's real-time tax data according to the constructed risk assessment model. Once data anomalies or risk indicators exceed the preset thresholds, the system will immediately trigger the risk warning mechanism.

[0033] The risk warning module includes a model establishment module, a training module, and a risk level module. The model establishment module uses machine learning algorithms, such as decision trees, random forests, support vector machines, etc., to establish a tax risk assessment model, and uses a large amount of historical data to train and optimize the model so that the model can accurately identify different types of tax risk patterns. During the training process, continuously adjust the parameters and structure of the model to improve the accuracy and generalization ability of the model, use historical data and input real-time data on the Internet into the system for modeling to form a system model.

[0034] The training module is used based on the established model. Input the enterprise's real-time data into the established risk assessment model. The system will integrate and analyze the data in the model, output the risk assessment results through the model, and the risk level will also participate in the work. Match the output risk assessment results with the risk level, such as risk level, risk probability, etc. For enterprises with a higher risk level, the system automatically issues a warning signal to remind the enterprise management and tax personnel to pay attention and provide corresponding risk response suggestions.

[0035] The decision-making module includes a data support module, a risk analysis module, a strategy generation module, and a decision evaluation module. The data support module further includes a data mining and analysis module. The data mining and analysis module uses data mining techniques such as association rule mining, clustering analysis, and anomaly detection to deeply analyze massive data, discover hidden patterns, trends, and relationships in the data, extract valuable information and features, and provide data support for tax risk decision-making.

[0036] The risk analysis module also includes a risk identification module. The risk analysis module uses preset risk identification models and algorithms to scan and analyze the collected data, identify various tax risks that an enterprise may face, such as value-added tax risks, corporate income tax risks, invoice risks, etc., determine the specific manifestations of the risks and the possible impacts. The strategy generation module, based on the results of the risk analysis, combines factors such as the enterprise's business objectives, financial status, and tax planning needs, and uses technologies such as expert systems and intelligent algorithms to generate targeted tax risk response strategies and solutions, such as adjusting business processes, optimizing tax planning schemes, and strengthening internal management.

[0037] The decision evaluation module is used in conjunction with the strategy generation module. The decision evaluation module evaluates the implemented risk response strategies and decision-making effects. By comparing the changes in risk indicators, financial data, compliance status, etc. before and after the decision, it analyzes whether the decision has achieved the expected risk control objectives and whether it has effectively reduced tax risks. According to the evaluation results, it timely feedbacks the problems and deficiencies existing in the decision implementation process, provides lessons for subsequent decision-making, and adjusts and optimizes the relevant parameters, models, and strategies of the decision-making module to improve the scientificity and effectiveness of decision-making.

[0038] Specifically, the working process or principle of an intelligent tax risk assessment and early warning system is as follows: This system mainly consists of a data collection and integration module, a risk assessment module, a risk early warning module, and a decision-making module, supplemented by other modules, to jointly establish an intelligent tax risk assessment and early warning system. The data collection and integration module collects and integrates data. The sources of these data include enterprise financial statement data, invoice data, tax declaration data, bank statement data, etc. And the decision-making module also includes a data mining and analysis module. The data mining and analysis module uses data mining techniques, such as association rule mining, clustering analysis, anomaly detection, etc., to deeply analyze massive data, discover hidden patterns, trends, and relationships in the data, extract valuable information and features, and provide data support for tax risk decision-making. Through the collection and integration of this data, the risk assessment module analyzes the integrated data for risk assessment, and the risk early warning module identifies the risk assessment results and issues an alarm to the enterprise personnel to remind them. Moreover, the system will also provide multiple suggestions to the enterprise personnel according to the assessment results for their reference, facilitating the enterprise personnel to make decisions.

[0039] By setting a data collection module and an integration module in the data collection and integration module, the data collection module can be used to collect data, which can be collected from financial statement data, invoice data, tax declaration data, bank statement data, etc. The collected data is integrated. For the convenience of finding historical data, this system will set up a storage module in the system. The storage module can be used to store all operation processes and data of the system for traceability in the later stage. And a data integration module and an external data access module are also set in the integration module. These modules can be used for data collection and use. Especially the external data access module can manually input external data into the system to supplement the integrity of the data. Moreover, the data quality management module can be used to extract, clean, and transform tax-related data in different business systems within the enterprise, and uniformly store it in the data warehouse to achieve centralized management of data and provide comprehensive and accurate data support for subsequent analysis and early warning.

[0040] The external data access module can not only manually input data, but also connect to external data sources, such as tax authority websites, industry data platforms, macroeconomic data websites, etc. Through relevant platforms and websites, the required data is transmitted into the system so that the integration module in the system can integrate the data and conduct risk assessment.

[0041] To meet the usage requirements, this system can establish a model to evaluate tax data through the establishment of the model. Therefore, a training module is set up. The training module is used based on the model establishment module. The real-time data of the enterprise is input into the established risk assessment model. The system will integrate and analyze the data in the model, output the risk assessment results through the model, and the risk level will also participate in the work. By outputting the risk assessment results and matching them with the risk level, such as the risk level, risk probability, etc., for enterprises with a higher risk level, the system will automatically send out a warning signal to remind the enterprise management and tax personnel to pay attention and provide corresponding risk response suggestions. The decision-making module will give corresponding suggestions according to the risk assessment level for the enterprise to refer to and make correct decisions to avoid major property losses for the enterprise.

[0042] A risk identification module is also set up in this system. The risk identification module identifies risk data, such as value-added tax risk, enterprise income tax risk, invoice risk, etc. Timely identification of risks can avoid losses to the enterprise and meet the usage requirements.

Claims

1. An intelligent tax risk assessment and early warning system, characterized in that: include: Data collection and integration module, used for automatic collection and efficient integration of tax data, providing a solid data foundation for subsequent risk assessment and analysis; The risk assessment module is used to conduct multi-dimensional and in-depth analysis of the tax data of enterprises, identify potential tax risk points, and conduct quantitative assessments based on the severity of the risks, providing enterprises with intuitive and accurate risk assessment results; The risk warning module issues risk warnings to the enterprise's tax management personnel and relevant persons in charge. The warning information includes the type and level of risk; The decision-making module is used to provide comprehensive decision-making support and risk response strategies to enterprises and provide advice to enterprises.

2. According to claim 1, the intelligent tax risk assessment and early warning system is characterized in that: The data collection and integration module includes a data collection module and an integration module. The data collection includes the company's financial statement data, invoice data, tax declaration data, bank flow data, etc., all of which will be collected, integrated and standardized. The data collection module includes a storage module for saving the collected data, and historical data can also be retrieved in the storage module.

3. According to claim 2, the intelligent tax risk assessment and early warning system is characterized in that: The integration module includes an internal data integration module, an external data access module, and a data quality management module. The data integration module is used to extract, clean and convert tax-related data from different business systems within the enterprise, and store them in a data warehouse to achieve centralized data management and provide comprehensive and accurate data support for subsequent analysis and early warning.

4. According to claim 3, the intelligent tax risk assessment and early warning system is characterized in that: The external data access module is used to connect to external data sources, such as tax authority websites, industry data platforms, macroeconomic data websites, etc., to obtain external information such as tax policies and regulations, industry tax burden standards, economic situation data, etc., and combine it with internal enterprise data to enrich data dimensions and improve the accuracy and comprehensiveness of risk warnings. The data quality management module is used to monitor and manage the quality of the integrated data, including data accuracy, completeness, and consistency checks, timely detection and correction of errors and anomalies in the data, and ensuring that the data quality meets the requirements of the risk warning system.

5. According to claim 4, the intelligent tax risk assessment and early warning system is characterized in that: The risk assessment module includes a risk feature extraction and modeling module and a real-time risk assessment and monitoring module. The risk feature extraction and modeling module uses artificial intelligence algorithms such as data mining and machine learning technology to extract feature variables related to tax risks from pre-processed data, and inputs these feature variables into the risk assessment model for training and optimization to build a model that can accurately identify and assess tax risks. The real-time risk assessment and monitoring module is used for the system to conduct continuous risk assessment and monitoring of the company's real-time tax data based on the constructed risk assessment model. Once data anomalies are found or risk indicators exceed the preset threshold, the system will immediately trigger the risk warning mechanism.

6. According to claim 5, the intelligent tax risk assessment and early warning system is characterized in that: The risk warning module includes a model building module, a training module and a risk level module. The model building module uses machine learning algorithms, such as decision trees, random forests, support vector machines, etc., to build a tax risk assessment model, and uses a large amount of historical data to train and optimize the model so that the model can accurately identify different types of tax risk patterns. During the training process, the parameters and structure of the model are continuously adjusted to improve the accuracy and generalization ability of the model. The historical data is used and the real-time data on the Internet is input into the system for modeling to form a system model.

7. The intelligent tax risk assessment and early warning system according to claim 6 is characterized in that: The training module is built on the model building module and inputs the real-time data of the enterprise into the established risk assessment model. The system will integrate and analyze the data in the model and output the risk assessment results through the model. The risk level will also be involved in the work. The risk assessment results are output and then matched with the risk level, such as risk level, risk probability, etc. For enterprises with higher risk levels, the system automatically sends out early warning signals to remind the enterprise management and tax personnel to pay attention and provide corresponding risk response suggestions.

8. The intelligent tax risk assessment and early warning system according to claim 7 is characterized in that: The decision-making module includes a data support module, a risk analysis module, a strategy generation module and a decision evaluation module. The data support module includes a data mining and analysis module. The data mining and analysis module uses data mining techniques, such as association rule mining, cluster analysis, anomaly detection, etc., to conduct in-depth analysis of massive data, discover hidden patterns, trends and relationships in the data, extract valuable information and features, and provide data support for tax risk decisions.

9. The intelligent tax risk assessment and early warning system according to claim 8 is characterized in that: The risk analysis module also includes a risk identification module. The risk analysis module uses a preset risk identification model and algorithm to scan and analyze the collected data, identify various tax risks that may exist in the enterprise, such as value-added tax risk, corporate income tax risk, invoice risk, etc., and determine the specific manifestations of the risks and the possible impacts. The strategy generation module generates targeted tax risk response strategies and solutions based on the results of risk analysis, combined with the company's business objectives, financial status, tax planning needs and other factors, using expert systems, intelligent algorithms and other technologies, such as adjusting business processes, optimizing tax planning schemes, and strengthening internal management.

10. The intelligent tax risk assessment and early warning system according to claim 9 is characterized in that: The decision evaluation module is used in conjunction with the strategy generation module. The decision evaluation module evaluates the risk response strategy and decision-making effect after implementation. By comparing the changes in risk indicators, financial data, compliance status, etc. before and after the decision, according to the evaluation results, timely feedback is given on problems and deficiencies in the decision execution process, providing experience and lessons for subsequent decisions, adjusting and optimizing the relevant parameters, models and strategies of the decision module, and improving the scientificity and effectiveness of the decision.

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