Reimbursement approval method, device and equipment and storage medium

Abstract

The invention discloses a reimbursement approval method and device, equipment and a storage medium. In the scheme, based on the tax identifier of the target enterprise, the electronic invoice data associated with the tax identifier is acquired through the third-party electronic invoice platform interface. And extracting target text information from the electronic invoice data according to a predefined field rule, and generating structured reimbursement data based on the target text information. And generating a reimbursement application form according to the structured reimbursement data, and performing compliance verification on the reimbursement application form to obtain a compliance verification result. And if the compliance verification result is that the compliance verification is passed, performing risk assessment on the reimbursement application form based on the intelligent risk control model, and generating an approval suggestion. And executing a corresponding reimbursement approval process operation according to the approval suggestion and a preset approval rule. According to the technical scheme, the efficiency and accuracy of reimbursement approval are remarkably improved while the financial risk of an enterprise is reduced.

Description

Technical Field

[0001] This application relates to the field of intelligent reimbursement technology, and particularly to a reimbursement approval method, device, equipment and storage medium. Background Art

[0002] With the continuous expansion of enterprise scale and the increasing improvement of financial management requirements, the expense reimbursement process, as an important link in the daily operation of enterprises, its efficiency and accuracy directly affect the capital turnover and cost control of enterprises.

[0003] However, there are still many deficiencies in the existing expense reimbursement approval methods. On the one hand, employees need to manually collect and sort out invoice information, which is not only time-consuming and laborious, but also prone to errors, affecting the accuracy and efficiency of reimbursement. On the other hand, the traditional reimbursement approval process relies on manual review, with a long approval cycle and compliance risks, making it difficult to meet the high-efficiency and compliance requirements of enterprises for the expense reimbursement process. In addition, the existing reimbursement approval methods lack intelligent risk assessment means and cannot quickly and accurately assess the risks of reimbursement applications, thus increasing the financial risks and management difficulties of enterprises. Therefore, there is an urgent need for a more efficient and accurate reimbursement approval method. Summary of the Invention

[0004] Based on the above problems, this application provides a reimbursement approval method, device, equipment and storage medium, aiming to improve the efficiency and accuracy of the expense reimbursement approval process and reduce the financial risks of enterprises.

[0005] The embodiments of this application disclose the following technical solutions:

[0006] In the first aspect of this application, a reimbursement approval method is provided, and the method includes:

[0007] Based on the tax identification of the target enterprise, obtain the electronic invoice data associated with the tax identification through the third-party electronic invoice platform interface;

[0008] Extract the target text information from the electronic invoice data according to the predefined field rules, and generate structured reimbursement data based on the target text information; the target text information is the text information related to expense reimbursement;

[0009] Generate a reimbursement application form according to the structured reimbursement data, and perform compliance verification on the reimbursement application form to obtain a compliance verification result; the compliance verification result indicates whether the reimbursement application form passes the compliance verification;

[0010] If the compliance verification result is that the reimbursement application form passes the compliance verification, then perform a risk assessment on the reimbursement application form based on the intelligent risk control model to generate an approval recommendation; the approval recommendation includes passing, rejecting or transferring to manual review;

[0011] Execute the corresponding reimbursement approval process operation according to the approval suggestions and preset approval rules.

[0012] In an optional implementation, the reimbursement approval method further includes:

[0013] Push the approval status information to the user terminal in real time and store the historical change records of the approval status.

[0014] In an optional implementation, the extracting target text information from the electronic invoice data according to the predefined field rules and generating structured reimbursement data based on the target text information includes:

[0015] Identify the text information in the electronic invoice data through optical character recognition technology;

[0016] Extract the target text information from the text information according to the predefined field rules;

[0017] Clean the target text information to generate structured reimbursement data.

[0018] In an optional implementation, the performing compliance verification on the reimbursement application form to obtain a compliance verification result includes:

[0019] Perform logic rule verification on the reimbursement application form according to the preset logic rules; the preset logic rules include field format rules and reimbursement amount numerical ranges;

[0020] Perform policy compliance verification on the reimbursement application form according to the preset corporate reimbursement policy; the corporate reimbursement policy includes reimbursement standards and budget limits corresponding to different business types;

[0021] Output the compliance verification result based on the results of the logic rule verification and the policy compliance verification.

[0022] In an optional implementation, after generating a reimbursement application form according to the structured reimbursement data and performing compliance verification on the reimbursement application form to obtain a compliance verification result, the method further includes:

[0023] If the compliance verification result fails the compliance verification, generate a compliance exception reminder message; the compliance exception reminder message includes the exception type and corresponding correction suggestions.

[0024] In an optional implementation, the intelligent risk control model is trained based on historical reimbursement data; the historical reimbursement data includes reimbursement application forms with marked approval suggestions.

[0025] In an alternative implementation, the step of performing a corresponding reimbursement approval process operation according to the approval recommendation and the preset approval rules includes:

[0026] If the approval recommendation is "approved", perform the operation of approving the reimbursement;

[0027] If the approval recommendation is "transfer to manual review", determine the approval process corresponding to the reimbursement application form according to the preset approval rules, and allocate the reimbursement application form to the corresponding approval node based on the approval process;

[0028] If the approval recommendation is "rejected", terminate the reimbursement approval process and output the rejection result.

[0029] A second aspect of the present application provides a reimbursement approval device, which includes:

[0030] An invoice data acquisition module, configured to obtain electronic invoice data associated with the tax identification based on the tax identification of the target enterprise through a third-party electronic invoice platform interface;

[0031] A structured data processing module, configured to extract target text information from the electronic invoice data according to predefined field rules, and generate structured reimbursement data based on the target text information; the target text information is text information related to expense reimbursement;

[0032] A compliance verification module, configured to generate a reimbursement application form according to the structured reimbursement data, and perform a compliance verification on the reimbursement application form to obtain a compliance verification result; the compliance verification result indicates whether the reimbursement application form passes the compliance verification;

[0033] A risk assessment module, configured to, if the compliance verification result is "pass the compliance verification", perform a risk assessment on the reimbursement application form based on an intelligent risk control model to generate an approval recommendation; the approval recommendation includes "approved", "rejected" or "transfer to manual review";

[0034] An approval process execution module, configured to perform a corresponding reimbursement approval process operation according to the approval recommendation and the preset approval rules.

[0035] A third aspect of the present application provides a reimbursement approval device, which includes: a processor and a memory:

[0036] The memory is used to store program code and transmit the program code to the processor;

[0037] The processor is configured to execute the steps of the reimbursement approval method described in any implementation manner of the first aspect according to the instructions in the program code.

[0038] A fourth aspect of the present application provides a computer-readable storage medium for storing program code for performing the steps of the reimbursement approval method described in any implementation manner of the first aspect.

[0039] Compared with the prior art, the present application has the following beneficial effects:

[0040] In the technical solution of the present application, first, based on the tax identification of the target enterprise, electronic invoice data associated with the tax identification is obtained through the interface of the third-party electronic invoice platform; then target text information is extracted from the electronic invoice data according to predefined field rules, and structured reimbursement data is generated based on the target text information; thereafter, a reimbursement application form is generated according to the structured reimbursement data, and the reimbursement application form is subjected to compliance verification to obtain a compliance verification result; if the compliance verification result is passed, a risk assessment is performed on the reimbursement application form based on an intelligent risk control model to generate an approval recommendation; finally, according to the approval recommendation and preset approval rules, the corresponding reimbursement approval process operation is executed. It can be seen that in the technical solution of the present application, the electronic invoice data associated with the target enterprise is automatically obtained through the interface of the third-party electronic invoice platform, without manual collection and collation by employees, significantly improving the efficiency of data acquisition and reducing human errors. Through compliance verification and intelligent risk control, while reducing the financial risks of the enterprise, the efficiency and accuracy of reimbursement approval are significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0042] Figure 1 It is a flowchart of a reimbursement approval method provided by an embodiment of the present application;

[0043] Figure 2 It is a schematic structural diagram of a reimbursement approval device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] As described above, the current expense reimbursement process is an important part of the daily operation of an enterprise, and its efficiency and accuracy directly affect the capital flow and cost control of the enterprise. However, in actual applications, there are many deficiencies in the existing reimbursement approval methods. On the one hand, employees need to manually collect and sort out invoice information, which is time-consuming, laborious and error-prone. On the other hand, the approval process relies on manual review, with a long approval cycle and compliance risks. In addition, there is a lack of intelligent risk assessment means, and it is impossible to quickly and accurately assess the risks of reimbursement applications, thus increasing the financial risks and management difficulties of the enterprise.

[0045] The inventors have proposed a reimbursement approval method, device, equipment and storage medium through research.

[0046] First, based on the tax identification of the target enterprise, obtain the electronic invoice data associated with the tax identification through the interface of the third-party electronic invoice platform; then extract the target text information from the electronic invoice data according to the predefined field rules, and generate structured reimbursement data based on the target text information; then generate a reimbursement application form according to the structured reimbursement data, and perform a compliance check on the reimbursement application form to obtain a compliance check result; if the compliance check result is passed, perform a risk assessment on the reimbursement application form based on the intelligent risk control model to generate an approval suggestion; finally, according to the approval suggestion and the preset approval rules, perform the corresponding reimbursement approval process operation. The technical solution of this application automatically obtains the electronic invoice data associated with its target enterprise through the interface of the third-party electronic invoice platform, without the need for employees to manually collect and sort out, significantly improving the efficiency of data acquisition and reducing human errors. Through compliance verification and intelligent risk control, while reducing the financial risks of the enterprise, the efficiency and accuracy of reimbursement approval are significantly improved.

[0047] In order to enable the personnel in the technical field to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0048] See Figure 1 , which is a flowchart of a reimbursement approval method provided by an embodiment of this application. As Figure 1 shown, the method includes the following steps:

[0049] S101. Based on the tax identification of the target enterprise, obtain the electronic invoice data associated with the tax identification through the interface of the third-party electronic invoice platform.

[0050] The tax identification refers to the unique identification code of an enterprise in the tax system, such as the tax number.

[0051] The third-party electronic invoice platform refers to a platform that provides services for storing, querying, and downloading electronic invoices.

[0052] In the embodiments of this application, the target enterprise is the enterprise that needs to conduct reimbursement approval.

[0053] First, based on the tax identification of the target enterprise (such as the tax number), through the interface with the third-party electronic invoice platform (such as the Leqi Digital Electronic Invoice Platform), all electronic invoice data associated with the tax identification is automatically obtained.

[0054] In an alternative implementation, the interface docking with the third-party electronic invoice platform can be achieved through the development of API interfaces. During the interface development process, it is necessary to ensure that the interface can transmit data stably and efficiently and can meet the actual needs of the enterprise. After the interface docking is completed, the enterprise can send requests to the third-party electronic invoice platform through this interface to obtain all electronic invoice data associated with its tax identification.

[0055] In an exemplary implementation, the tax number of the target enterprise is "123456789", and the enterprise hopes to automatically obtain all its associated electronic invoice data. The target enterprise can sign a data sharing agreement with the third-party electronic invoice platform and obtain the access permission to the API interface. Then, the enterprise can develop an interface docking program, which sends an HTTP request to the third-party electronic invoice platform, carrying the enterprise tax number and authentication information, to obtain the electronic invoice data associated with the tax number. After verifying the identity, the third-party electronic invoice platform will return all electronic invoice data associated with the tax number, including key information such as invoice code, invoice number, invoice date, and amount. This program saves these data to the local database or cloud storage for subsequent processing.

[0056] In an alternative implementation, in order to ensure the timeliness and accuracy of electronic invoice data, a data synchronization mechanism can be set up.

[0057] In an exemplary implementation, the data synchronization mechanism can be achieved by setting up scheduled tasks or using Webhooks technology. Scheduled tasks can send requests to the third-party electronic invoice platform regularly (such as daily, weekly, or monthly) to obtain the latest electronic invoice data; Webhooks technology can send notifications to the enterprise in real time when the electronic invoice data changes and automatically update the data in the local database.

[0058] S102. Extract the target text information from the electronic invoice data according to the predefined field rules, and generate structured reimbursement data based on the target text information.

[0059] In the embodiment of the present application, the target text information is text information related to expense reimbursement, including but not limited to invoice date, invoice amount, service content, etc.

[0060] The predefined field rule refers to a rule set in advance for extracting key information from electronic invoice data.

[0061] Structured reimbursement data refers to reimbursement data organized according to certain formats and rules, which is convenient for subsequent processing.

[0062] In the embodiment of the present application, the predefined field rules may include invoice date, invoice amount, service content, etc. The definition of the field rules is determined according to the actual needs of the enterprise, and it is necessary to ensure the accuracy and consistency of the fields. Specifically, the field rules are not limited herein.

[0063] In the embodiment of the present application, after obtaining the electronic invoice data, according to the predefined field rules, the text information related to expense reimbursement is extracted from these electronic invoice data, and structured reimbursement data is generated based on this information. The structured reimbursement data is convenient for subsequent generation of reimbursement application forms and compliance verification.

[0064] S103. Generate a reimbursement application form according to the structured reimbursement data, and perform a compliance verification on the reimbursement application form to obtain a compliance verification result.

[0065] In the embodiment of the present application, the compliance verification result indicates whether the reimbursement application form passes the compliance verification. The compliance verification result can be passing the compliance verification or failing to pass the compliance verification.

[0066] The reimbursement application form refers to the form that needs to be filled out when submitting a reimbursement application, which contains relevant information about the reimbursement. The reimbursement application form can be an Excel spreadsheet or a Word document, which contains all the fields and formats required for the reimbursement application.

[0067] In the embodiment of the present application, a reimbursement application form is automatically generated according to the structured reimbursement data generated in the foregoing steps. The user only needs to confirm and supplement a small amount of information to complete the filling and submission of the reimbursement application. Then, a compliance verification is performed on the reimbursement application form to obtain a compliance verification result to check whether the reimbursement application complies with the relevant regulations.

[0068] In an alternative implementation, to facilitate employees in quickly filling in or determining reimbursement information, after generating a reimbursement application form based on structured reimbursement data, a user interaction interface can be provided to the user terminal. The user interaction interface can include various input controls such as text boxes, drop-down boxes, date pickers, etc., as well as relevant prompts and instructions. At the same time, responsive design can also be adopted to ensure a good user experience on different devices and browsers.

[0069] S104. If the compliance check result passes the compliance check, then based on the intelligent risk control model, risk assessment is performed on the reimbursement application form to generate an approval recommendation.

[0070] In the embodiments of the present application, the intelligent risk control model can be a model constructed based on technologies such as machine learning or deep learning for assessing the risk level of reimbursement applications.

[0071] In an alternative implementation, the intelligent risk control model is trained based on historical reimbursement data, can automatically identify risk characteristics in the reimbursement application form, and give corresponding risk assessment results. The historical reimbursement data includes reimbursement application forms with marked approval recommendations. The risk assessment result can be a score or a probability value indicating the risk level of the reimbursement application.

[0072] The approval recommendation refers to the reimbursement approval recommendation given based on the risk assessment result, including approval, rejection, or transfer to manual review.

[0073] In the embodiments of the present application, if the reimbursement application form passes the compliance check, then risk assessment is performed on the reimbursement application form based on the intelligent risk control model. According to the risk assessment result, an approval recommendation is generated, and the approval recommendation will serve as an important basis for subsequent reimbursement approval process operations.

[0074] In an exemplary implementation, if the risk assessment result is low (e.g., less than 0.1), then an "approval" approval recommendation can be generated; if the risk assessment result is high (e.g., greater than 0.5), then a "rejection" approval recommendation can be generated; if the risk assessment result is between the two (e.g., between 0.1 and 0.5), then a "transfer to manual review" approval recommendation can be generated. The generation criteria for the approval recommendation can be adjusted according to the actual needs of the enterprise and are not specifically limited herein.

[0075] S105. According to the approval recommendation and the preset approval rules, perform corresponding reimbursement approval process operations.

[0076] In the embodiments of the present application, the preset approval rules refer to the reimbursement approval processes and rules preset by the enterprise.

[0077] In the embodiments of the present application, according to the approval suggestions generated in the foregoing steps and the preset approval rules, corresponding reimbursement approval process operations are performed, such as passing the approval or terminating the approval, etc. This step realizes the intelligent and automated management of the reimbursement approval process.

[0078] In the embodiments of the present application, the electronic invoice data associated with the target enterprise is automatically obtained through the third-party electronic invoice platform interface, without the need for employees to manually collect and organize it, significantly improving the efficiency of data acquisition and reducing human errors. Through compliance verification and intelligent risk control, while reducing the financial risks of the enterprise, the efficiency and accuracy of reimbursement approval are significantly improved.

[0079] Based on the foregoing embodiments, the following embodiments provide a more detailed description of the implementation of the reimbursement approval method.

[0080] In an optional implementation manner, the above step S102 includes:

[0081] S1021. Identify the text information in the electronic invoice data through Optical Character Recognition (OCR) technology.

[0082] OCR technology can automatically identify information such as words, numbers, and symbols on the electronic invoice and convert it into an editable text format.

[0083] Optionally, in order to improve the accuracy of OCR recognition, the electronic invoice data can be preprocessed, such as denoising, binarization, etc.

[0084] S1022. Extract the target text information from the text information according to the predefined field rules.

[0085] In the embodiments of the present application, according to the predefined field rules, the target text information (such as invoice date, invoice amount, service content, etc.) is extracted from the recognized text information.

[0086] Optionally, in order to improve the accuracy of extraction, a field matching algorithm can be written, which matches and extracts the recognized text information according to the rules in the field rule table.

[0087] S1023. Perform data cleaning on the target text information to generate structured reimbursement data.

[0088] In the embodiments of the present application, after the extraction of the target text information is completed, data cleaning is performed on the extracted target text information, including removing irrelevant information, correcting recognition errors, formatting data, etc., to ensure that the generated structured reimbursement data is accurate and provides a reliable basis for subsequent processing and analysis.

[0089] In an alternative implementation, the step of performing compliance verification on the reimbursement application form in step S103 to obtain a compliance verification result specifically includes:

[0090] Step 1: Perform logical rule verification on the reimbursement application form according to preset logical rules.

[0091] In the embodiments of the present application, the preset logical rules include field format rules and reimbursement amount value ranges.

[0092] In the embodiments of the present application, perform basic logical rule verification on the reimbursement application form according to preset logical rules to ensure the integrity and rationality of the data in the reimbursement application form.

[0093] First, verify the formats of each field in the reimbursement application form. For example, for the verification of the invoice code, check whether it is a combination of 10 consecutive digits, which complies with the invoice coding rules of the State Administration of Taxation; for the verification of the invoice number, verify the legality of 8 consecutive digits and perform a combined uniqueness check with the invoice code; for the verification of the tax identification, check the format of the 15 - or 18 - digit taxpayer identification number, including the compliance of segments such as administrative division codes and organization codes; for the verification of the date format, ensure that all date fields adopt the standard YYYY - MM - DD format and are valid calendar dates; for the verification of the amount format, verify that the amount field is in a valid numerical format, with no more than 2 digits after the decimal point and the value being non - negative.

[0094] Secondly, verify the reimbursement amount value range in the reimbursement application form, for example, from 0 to 100,000 yuan.

[0095] Step 2: Perform policy compliance verification on the reimbursement application form according to preset enterprise reimbursement policies.

[0096] In the embodiments of the present application, the enterprise reimbursement policies include reimbursement standards and budget limits corresponding to different business types.

[0097] In the embodiments of the present application, perform policy compliance verification on the reimbursement application form according to preset enterprise reimbursement policies to check whether the reimbursement application complies with relevant regulations (such as reimbursement standards and budget limits for different business types).

[0098] Enterprise reimbursement policies are set according to the specific reimbursement requirements of different enterprises and are not specifically limited here. An example of an enterprise reimbursement policy is as follows:

[0099] 1. Reimbursement standards:

[0100] 1. The business trip expense standards include:

[0101] Set the accommodation limit according to the city level (for example, in first - tier cities, it does not exceed 600 yuan per night);

[0102] Set transportation standards according to job levels (e.g., senior executives can reimburse business class air tickets);

[0103] The meal allowance is calculated based on the actual number of business trip days.

[0104] 2. Business entertainment standards include:

[0105] Set the upper limit of per capita meal expenses according to the level of the reception object;

[0106] Extra approval requirements for special occasions (such as foreign-related receptions);

[0107] The amount limit and approval process for gift giving.

[0108] 3. Office expense standards include:

[0109] Budget control for the purchase of office supplies;

[0110] The requirement for the depreciation life of equipment purchase;

[0111] Department quota management for the consumption of consumables.

[0112] II. Budget limit:

[0113] The current available budget for Business a, Business b, and Business c in Department A;

[0114] The current available budget for Business a, Business b, and Business c in Department B;

[0115] The current available budget for Business a, Business b, and Business c in Department C.

[0116] Step 3. Output the compliance check result based on the results of the logical rule check and the policy compliance check.

[0117] In the embodiments of the present application, the result of the logical rule check can be passing the logical rule check or failing the logical rule check. The result of the policy compliance check can be passing the policy compliance check or failing the policy compliance check.

[0118] When the result of the logical rule check is passing the logical rule check and the result of the policy compliance check is passing the policy compliance check, the compliance check result is passing the compliance check;

[0119] When the result of the logical rule check is passing the logical rule check, but the result of the policy compliance check is failing the policy compliance check, the compliance check result is failing the compliance check;

[0120] When the result of the policy compliance check passes the policy compliance check, but the result of the logical rule check fails the logical rule check, the compliance check result fails the compliance check.

[0121] In an alternative implementation, if the compliance check result fails the compliance check, a compliance exception reminder message is generated and returned to the user terminal for the user to correct.

[0122] In the embodiments of the present application, the compliance exception reminder message includes the exception type and the corresponding correction suggestions.

[0123] In an alternative implementation, the above step S105 includes:

[0124] If the approval recommendation is "pass", perform the operation of passing the reimbursement approval.

[0125] If the approval recommendation is "transfer to manual review", determine the approval process corresponding to the reimbursement application form according to the preset approval rules, and allocate the reimbursement application form to the corresponding approval node based on the approval process.

[0126] If the approval recommendation is "reject", terminate the reimbursement approval process and output the rejection result.

[0127] In an exemplary implementation, if the approval recommendation is "pass", the approval process execution program can directly pay the reimbursement amount to the employee's account and send a payment success notice to the employee. If the approval recommendation is "transfer to manual review", the approval process execution program needs to determine the approval process corresponding to the reimbursement application form according to the preset approval rules and allocate the form to the corresponding approval node. The personnel at the approval node will conduct a manual review of the reimbursement application and give the approval result. If the approval recommendation is "reject", the approval process execution program needs to terminate the reimbursement approval process and output the rejection result (such as the rejection reason, modification suggestions, etc.), and at the same time send a rejection notice to the employee.

[0128] In an alternative implementation, in order to ensure that employees can timely understand the progress and approval result of the reimbursement application, the reimbursement approval method further includes:

[0129] Push the approval status information to the user terminal in real time and store the historical change records of the approval status.

[0130] In the embodiments of the present application, the approval status information can be sent to the user terminal (such as the user's mobile phone or computer) according to the change of the approval status, and all historical change records of the approval status are stored in the database. The approval status information can include the approval progress, the current approval node, and the approval result, etc.

[0131] In an exemplary implementation, when a reimbursement application enters the approval process, the real-time tracking and feedback system can automatically record the status change information of each approval node. For example, when the approval is completed, the system will automatically update the status to "Approved"; when the approval is not passed, the system will automatically update the status to "Rejected", etc. These status information can facilitate employees to understand the progress of the reimbursement application at any time.

[0132] In an alternative implementation, the reimbursement approval method can also analyze the reimbursement data in real time and generate corresponding reports for enterprise decision-making support.

[0133] In the embodiments of the present application, all data related to reimbursement can be automatically collected, including invoice information, reimbursement amount, approval time, etc.

[0134] In an exemplary implementation, after the reimbursement approval process is completed, all data related to the reimbursement application is collected and saved in the database. It can be analyzed using statistical analysis software, data mining algorithms, visualization tools, etc. to generate corresponding reports. For example, statistical analysis software can be used to perform trend analysis and distribution analysis on the reimbursement amount; data mining algorithms can be used to classify and predict the reasons for reimbursement; visualization tools can be used to display the analysis results in the form of charts, etc.

[0135] In the embodiments of the present application, generating corresponding reports can help the management better understand the enterprise's expense situation and budget execution situation, providing strong support for subsequent cost control and budget management.

[0136] In the embodiments of the present application, by integrating multiple functions such as electronic invoice data acquisition, structured reimbursement data generation, reimbursement application form generation, reimbursement approval process execution, intelligent compliance verification, real-time tracking and feedback, and data analysis and reporting, the simplification and automated management of the expense reimbursement approval process are realized. This method can effectively improve the reimbursement efficiency and accuracy, reduce the enterprise's costs and time investment, and provide strong support for the enterprise to optimize cost control and budget management.

[0137] Based on the reimbursement approval method provided in the foregoing embodiments, correspondingly, the present application also provides a reimbursement approval device. Figure 2 It is a schematic structural diagram of a reimbursement approval device provided in the embodiments of the present application.

[0138] As Figure 2 shown, the reimbursement approval device includes:

[0139] An invoice data acquisition module 201, configured to obtain electronic invoice data associated with the tax identification based on the tax identification of the target enterprise through a third-party electronic invoice platform interface;

[0140] The structured data processing module 202 is configured to extract target text information from the electronic invoice data according to predefined field rules, and generate structured reimbursement data based on the target text information; the target text information is text information related to expense reimbursement.

[0141] The compliance verification module 203 is configured to generate a reimbursement application form according to the structured reimbursement data, and perform compliance verification on the reimbursement application form to obtain a compliance verification result; the compliance verification result indicates whether the reimbursement application form passes the compliance verification.

[0142] The risk assessment module 204 is configured to, if the compliance verification result is that the reimbursement application form passes the compliance verification, perform a risk assessment on the reimbursement application form based on an intelligent risk control model, and generate an approval recommendation; the approval recommendation includes approval, rejection, or transfer to manual review.

[0143] The approval process execution module 205 is configured to execute corresponding reimbursement approval process operations according to the approval recommendation and preset approval rules.

[0144] In the embodiment of the present application, through the combined actions of the invoice data acquisition module 201, the structured data processing module 202, the compliance verification module 203, the risk assessment module 204, and the approval process execution module 205, while reducing the financial risks of the enterprise, the efficiency and accuracy of reimbursement approval are significantly improved.

[0145] Optionally, the reimbursement approval device further includes a push storage module, configured to push approval status information to a user terminal in real time, and store historical change records of the approval status.

[0146] Optionally, the structured data processing module 202 is specifically configured to:

[0147] Identify the text information in the electronic invoice data through optical character recognition technology;

[0148] Extract target text information from the text information according to predefined field rules;

[0149] Perform data cleaning on the target text information to generate structured reimbursement data.

[0150] Optionally, the compliance verification module 203 is specifically configured to:

[0151] Perform logic rule verification on the reimbursement application form according to preset logic rules; the preset logic rules include field format rules and reimbursement amount numerical ranges;

[0152] Perform policy compliance verification on the reimbursement application form according to the preset enterprise reimbursement policy; the enterprise reimbursement policy includes reimbursement standards and budget limits corresponding to different business types;

[0153] Output the compliance verification result based on the result of the logical rule verification and the result of the policy compliance verification.

[0154] Optionally, the intelligent risk control model in the risk assessment module 204 is trained based on historical reimbursement data; the historical reimbursement data includes reimbursement application forms with marked approval suggestions.

[0155] Optionally, the approval process execution module 205 is specifically configured to:

[0156] If the approval suggestion is passed, perform the operation of passing the reimbursement approval;

[0157] If the approval suggestion is transferred to manual review, determine the approval process corresponding to the reimbursement application form according to the preset approval rules, and allocate the reimbursement application form to the corresponding approval node based on the approval process;

[0158] If the approval suggestion is rejected, terminate the reimbursement approval process and output the rejection result.

[0159] Optionally, the reimbursement approval device further includes an exception reminder module, which is used to generate a compliance exception reminder message if the compliance verification result fails the compliance verification; the compliance exception reminder message includes the exception type and the corresponding correction suggestions.

[0160] In addition, an embodiment of the present application further provides a reimbursement approval device, which includes a processor and a memory.

[0161] The memory is used to store program codes and transmit the program codes to the processor;

[0162] The processor is used to execute the steps of the reimbursement approval method described in any manner of the above method embodiments according to the instructions in the program codes.

[0163] In addition, an embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when the program is run by a processor, the reimbursement approval method described in any manner of the method embodiments is implemented.

[0164] It should be noted that the embodiments in this specification are all described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the device and equipment, since they are basically similar to the method embodiments, the description is relatively simple, and reference can be made to the corresponding parts of the method embodiments for the relevant content. The device and equipment embodiments described above are only illustrative. The units described as separate components may or may not be physically separated, and the components referred to as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative work.

[0165] As described above, this is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A reimbursement approval method, characterized in that, The method includes: Based on the tax identification of the target enterprise, obtaining electronic invoice data associated with the tax identification through the interface of a third-party electronic invoice platform; Extracting target text information from the electronic invoice data according to predefined field rules, and generating structured reimbursement data based on the target text information; the target text information is text information related to expense reimbursement; Generating a reimbursement application form according to the structured reimbursement data, and performing compliance verification on the reimbursement application form to obtain a compliance verification result; the compliance verification result indicates whether the reimbursement application form passes the compliance verification; If the compliance verification result is that the reimbursement application form passes the compliance verification, then performing a risk assessment on the reimbursement application form based on an intelligent risk control model to generate an approval recommendation; the approval recommendation includes approval, rejection, or transfer to manual review; Performing corresponding reimbursement approval process operations according to the approval recommendation and preset approval rules.

2. The method according to claim 1, characterized in that The method further includes: Real-time pushing the approval status information to the user terminal and storing the historical change records of the approval status.

3. The method according to claim 1, characterized in that, The extracting target text information from the electronic invoice data according to predefined field rules, and generating structured reimbursement data based on the target text information includes: Identifying the text information in the electronic invoice data through optical character recognition technology; Extracting target text information from the text information according to predefined field rules; Performing data cleaning on the target text information to generate structured reimbursement data.

4. The method according to claim 1, wherein The performing compliance verification on the reimbursement application form to obtain a compliance verification result includes: Performing logical rule verification on the reimbursement application form according to preset logical rules; the preset logical rules include field format rules and reimbursement amount numerical ranges; Performing policy compliance verification on the reimbursement application form according to the preset enterprise reimbursement policy; the enterprise reimbursement policy includes reimbursement standards and budget limits corresponding to different business types; Outputting a compliance verification result based on the results of the logical rule verification and the policy compliance verification.

5. The method according to claim 4, wherein After generating the reimbursement application form according to the structured reimbursement data, and performing compliance verification on the reimbursement application form to obtain a compliance verification result, the method further includes: If the compliance verification result is that the reimbursement application form fails to pass the compliance verification, then generating a compliance exception reminder information; the compliance exception reminder information includes the exception type and corresponding correction suggestions.

6. The method according to claim 1, wherein The intelligent risk control model is trained based on historical reimbursement data; the historical reimbursement data includes reimbursement application forms with labeled approval recommendations.

7. The method according to claim 1, characterized in that The performing corresponding reimbursement approval process operations according to the approval recommendation and preset approval rules includes: If the approval recommendation is approval, then performing the reimbursement approval passing operation; If the approval recommendation is transfer to manual review, then determining the approval process corresponding to the reimbursement application form according to preset approval rules, and allocating the reimbursement application form to the corresponding approval node based on the approval process; If the approval recommendation is rejection, then terminating the reimbursement approval process and outputting a rejection result.

8. An expense reimbursement approval device, characterized in that The device includes: An invoice data acquisition module, configured to obtain electronic invoice data associated with the tax identification based on the tax identification of the target enterprise through a third-party electronic invoice platform interface; A structured data processing module, configured to extract target text information from the electronic invoice data according to predefined field rules, and generate structured reimbursement data based on the target text information; the target text information is text information related to expense reimbursement; A compliance verification module, configured to generate a reimbursement application form according to the structured reimbursement data, and perform a compliance verification on the reimbursement application form to obtain a compliance verification result; the compliance verification result indicates whether the reimbursement application form passes the compliance verification; A risk assessment module, configured to, if the compliance verification result is passing the compliance verification, perform a risk assessment on the reimbursement application form based on an intelligent risk control model, and generate an approval recommendation; the approval recommendation includes approval, rejection, or transfer to manual review; An approval process execution module, configured to execute corresponding reimbursement approval process operations according to the approval recommendation and preset approval rules.

9. An expense reimbursement approval device, characterized in that, Comprising: A processor and a memory: The memory is configured to store program code and transmit the program code to the processor; The processor is configured to execute the steps of the reimbursement approval method according to any one of claims 1 to 7 based on the instructions in the program code.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is configured to store program code, and the program code is used to execute the steps of the reimbursement approval method according to any one of claims 1 to 7.

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