Intelligent bill checking and signing method and system and medium

Invoice scanning and OCR recognition are performed through the bill self-service terminal, combined with the associated review of different reimbursement categories, which solves the problems of low efficiency and high error rate in traditional invoice verification and receipt methods, realizes intelligent invoice review and receipt, and improves the accuracy and efficiency of financial management.

CN120635929AActive Publication Date: 2025-09-12CHINA SOUTHERN POWER GRID INTERNET SERVICE CO LTD
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Patent Information

Application Number
CN202511120833.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-12
Publication Date
2025-09-12
Estimated Expiration
2045-08-12

AI Technical Summary

Technical Problem

Traditional invoice verification and receipt methods rely on manual operations, resulting in low audit efficiency and prone to errors. It is difficult to accurately identify false invoices, affecting the accuracy and timeliness of corporate financial management.

Method used

Use the bill self-service terminal to scan and perform OCR recognition on invoices, verify the invoices based on the OCR recognition results, and conduct related audits based on different reimbursement categories, including related audits of approval forms, purchase orders, and project information, to determine whether to sign for the invoices.

Benefits of technology

It improves the efficiency and accuracy of invoice verification and receipt, reduces manual intervention, standardizes the quality of financial data, realizes the integrated connection between offline physical and online business processes, and improves the efficiency and security of financial processing.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an intelligent bill checking and signing method and system and a medium. The method comprises the following steps: a bill self-service terminal scans an invoice, obtains image file data, carries out OCR identification, carries out invoice verification according to an identification result, carries out invoice reimbursement type identification after verification is passed, and transmits the identification result to a page of the bill self-service terminal for confirmation; if the confirmation is passed and the reimbursement category is a daily reimbursement category of the employee, performing approval order association auditing, if the confirmation is passed and the reimbursement category is a production material purchase category, performing purchase order association auditing according to the invoice information, and if the confirmation is passed and the reimbursement category is an engineering settlement category, performing engineering project information association auditing; whether invoice signing is carried out or not is determined according to the audit result; therefore, the purpose of intelligently checking and signing the invoices is achieved.
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Description

Technical Field

[0001] The present application relates to the intelligent inspection and receipt of bills, and to the field of artificial intelligence OCR recognition technology. Specifically, it relates to a method, system and medium for intelligent inspection and receipt of bills. Background Art

[0002] Invoice verification and receipt are crucial components of corporate financial management. Traditional methods rely primarily on manual labor, resulting in low audit efficiency and prone to errors due to human negligence. These errors, such as incorrect invoice information entry and difficulty identifying fraudulent invoices, impact the accuracy and timeliness of corporate financial management. Therefore, there is an urgent need for a method that can improve invoice verification and receipt efficiency, reduce error rates, and implement intelligent auditing to meet the needs of modern corporate financial management. Summary of the Invention

[0003] The purpose of this application is to provide a method, system and medium for intelligent inspection and receipt of bills, which can verify invoices and intelligently identify reimbursement categories, conduct associated audits based on different reimbursement categories and determine whether to sign for invoices based on the audit results. The technology of this application can effectively assist in financial data collection, data standardization and data integration, open up the integrated connection between offline physical and online business processes, standardize the quality of financial data, and improve the efficiency and security of financial processing.

[0004] This application also provides a method for intelligently checking and signing for bills, including the following steps: The bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, and verifies the invoice based on the recognition results; After verification, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation; If the confirmation is passed and the reimbursement category is the employee's daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is production material procurement, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and whether the invoice will be signed will be determined based on the review results.

[0005] Optionally, in the method for intelligent bill inspection and receipt described in the present application, the bill self-service terminal scans the invoice to obtain image file data, performs OCR recognition, and verifies the invoice based on the recognition result, including: The bill self-service terminal scans the invoice to generate image file data, performs OCR recognition on the image file data, and extracts key features from the recognition results to obtain structured data on the invoice face; The ticket structured data includes basic ticket information and detailed ticket information; The basic information on the invoice includes the invoice code, invoice number, invoice date and invoice amount; The detailed information on the ticket includes item name data, quantity, unit price, seller name data and purchase order number; The invoice code, invoice number, invoice date and invoice amount are transmitted to the preset tax invoice verification platform for verification.

[0006] Optionally, in the method for intelligent bill inspection and receipt described in this application, after the verification is passed, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation, including: Enter the project name data and the seller name data into a preset bill type identification list for mapping to obtain reimbursement category data, including employee daily reimbursement category data, production material procurement category data, and project settlement category data; The reimbursement category data is transmitted to the bill self-service terminal page for prompt confirmation.

[0007] Optionally, in the method for intelligent bill inspection and receipt described in this application, if the confirmation is passed and the reimbursement category is the employee daily reimbursement category, an approval form information association review is performed, and whether to sign for the invoice is determined based on the review result, including: If the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the employee name data and project name data are matched and identified with the preset approval form database to obtain the target approval form data; Extract the application date based on the target approval form data, compare the invoicing date with the application date, and if the comparison is successful, obtain the reimbursement amount data corresponding to the project name data in the financial system; Compare the invoice amount with the reimbursement amount data. If the comparison result meets the preset comparison result requirements, the invoice will be approved and signed for; If the comparison result does not meet the preset comparison result requirements, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0008] Optionally, in the method for intelligent bill inspection and receipt described in this application, if the confirmation is passed and the reimbursement category is the production material procurement category, a purchase order association review is performed based on the invoice information, and whether to sign for the invoice is determined based on the review result, including: Enter the purchase order number into the preset financial system database for matching and identification to obtain the corresponding purchase order data, including detailed data of goods, quantity of goods, contract amount and supplier name data; Compare the seller name data and project name data with the supplier name data and goods details data respectively. If the comparison is consistent, compare the invoice amount and quantity with the contract amount and goods quantity respectively; If the comparison is consistent, the invoice will be reviewed and signed for. If the comparison is inconsistent, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0009] Optionally, in the method for intelligent bill inspection and receipt described in this application, if the confirmation is passed and the reimbursement category is the project settlement category, a project information association review is performed, and whether to sign for the invoice is determined based on the review result, including: If the confirmation is passed and the reimbursement category is the project settlement category, the seller name data and project name data will be entered into the preset project supplier management list for comparison. If the comparison is passed, the project progress report data corresponding to the seller name data will be obtained; Extract the payment amount corresponding to the current project progress based on the project progress report data, compare the invoice amount with the payment amount, and if the comparison requirements are met, obtain the project acceptance report data corresponding to the seller's name data; The project acceptance result data is extracted based on the project acceptance report data. If the acceptance is qualified, the invoice will be prompted to pass the review and be signed. If the acceptance is unqualified, a prompt will be given that the payment process cannot be entered.

[0010] In a second aspect, the present application provides a system for intelligent inspection and receipt of bills, the system comprising: a memory and a processor, wherein the memory stores a program for an intelligent inspection and receipt method for bills, and when the program for the intelligent inspection and receipt method for bills is executed by the processor, the following steps are implemented: The bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, and verifies the invoice based on the recognition results; After verification, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation; If the confirmation is passed and the reimbursement category is the employee's daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is production material procurement, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and whether the invoice will be signed will be determined based on the review results.

[0011] Optionally, in the bill intelligent inspection and receipt system described in this application, the bill self-service terminal scans the invoice to obtain image file data, performs OCR recognition, and verifies the invoice based on the recognition result, including: The bill self-service terminal scans the invoice to generate image file data, performs OCR recognition on the image file data, and extracts key features from the recognition results to obtain structured data on the invoice face; The ticket structured data includes basic ticket information and detailed ticket information; The basic information on the invoice includes the invoice code, invoice number, invoice date and invoice amount; The detailed information on the ticket includes item name data, quantity, unit price, seller name data and purchase order number; The invoice code, invoice number, invoice date and invoice amount are transmitted to the preset tax invoice verification platform for verification.

[0012] Optionally, in the bill intelligent inspection and receipt system described in the present application, after the verification is passed, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation, including: Enter the project name data and the seller name data into a preset bill type identification list for mapping to obtain reimbursement category data, including employee daily reimbursement category data, production material procurement category data, and project settlement category data; The reimbursement category data is transmitted to the bill self-service terminal page for prompt confirmation.

[0013] In a third aspect, the present application also provides a computer-readable storage medium, which stores a program for a method for intelligently checking and receiving bills. When the program for the method for intelligently checking and receiving bills is executed by a processor, the steps of the method for intelligently checking and receiving bills as described in any one of the above items are implemented.

[0014] From the above, it can be seen that the method, system and medium for intelligent inspection and receipt of bills provided by this application can verify invoices and intelligently identify reimbursement categories, and conduct associated audits based on different reimbursement categories and determine whether to sign for invoices based on the audit results. The technology of this application can effectively assist in financial data collection, data standardization and data integration, open up the integrated connection between offline physical and online business processes, standardize the quality of financial data, and improve the efficiency and security of financial processing.

[0015] Other features and advantages of the present application will be described in the following description, and in part will become apparent from the description, or understood by practicing the embodiments of the present application. The objectives and other advantages of the present application can be achieved and obtained through the structures particularly pointed out in the written description and the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 Flowchart of the method for intelligent bill inspection and receipt provided in an embodiment of the present application; Figure 2 A flowchart of the method for intelligent bill inspection and receipt provided in an embodiment of the present application for performing an associated review of approval form information; Figure 3 A flowchart of the purchase order association review of the method for intelligent bill inspection and receipt provided in an embodiment of the present application; Figure 4 A flowchart of the project information correlation review of the intelligent bill inspection and receipt method provided in the embodiment of this application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work fall within the scope of protection of the present application.

[0019] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0020] Please refer to Figure 1 , Figure 1This is a flow chart of a method for intelligently checking and signing for bills in some embodiments of the present application. The method is used in a terminal device, such as a computer or mobile phone terminal. The method comprises the following steps: S11. The bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, and verifies the invoice based on the recognition result; S12. After verification, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation; S13. If the application is approved and the reimbursement category is employee daily reimbursement, the approval form information will be reviewed and the invoice receipt will be determined based on the review results. S14. If the confirmation is passed and the reimbursement category is production material procurement, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results; S15. If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and whether the invoice will be signed will be determined based on the review results.

[0021] It should be noted that this application verifies the invoice and intelligently identifies the reimbursement category, and conducts associated audits based on different reimbursement categories and determines whether to sign for the invoice based on the audit results, effectively reducing manual intervention and improving the efficiency and security of bill processing. Among them, the bill self-service terminal scans the invoice and verifies the invoice. If the invoice verification fails, a prompt will be given indicating that the verification failed. If the verification passes, the invoice reimbursement type will be identified, and the identification result will be transmitted to the bill self-service terminal page for the reimbursement applicant to confirm. If the confirmation passes, the invoice will be reviewed according to the reimbursement category. If the confirmation fails, all reimbursement categories stored in the system will be displayed on the bill self-service terminal page for the reimbursement applicant to manually select.

[0022] According to an embodiment of the present invention, the self-service bill service terminal scans the invoice to obtain image file data, performs OCR recognition, and verifies the invoice based on the recognition result, including: The bill self-service terminal scans the invoice to generate image file data, performs OCR recognition on the image file data, and extracts key features from the recognition results to obtain structured data on the invoice face; The ticket structured data includes basic ticket information and detailed ticket information; The basic information on the invoice includes the invoice code, invoice number, invoice date and invoice amount; The detailed information on the ticket includes item name data, quantity, unit price, seller name data and purchase order number; The invoice code, invoice number, invoice date and invoice amount are transmitted to the preset tax invoice verification platform for verification.

[0023] It should be noted that the bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, obtains the OCR recognition results, and then uses natural language processing technology to extract key fields from the recognition results, and finally converts them into computer-processable invoice structured data. The invoice structured data is then sent to the tax invoice verification platform through the interface for verification and duplication checking.

[0024] According to an embodiment of the present invention, after the verification is passed, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation, including: Enter the project name data and the seller name data into a preset bill type identification list for mapping to obtain reimbursement category data, including employee daily reimbursement category data, production material procurement category data, and project settlement category data; The reimbursement category data is transmitted to the bill self-service terminal page for prompt confirmation.

[0025] It should be noted that the invoice reimbursement category is identified based on the project name data and seller name data in the invoice, and the identification result is transmitted to the self-service terminal page for the reimbursement applicant to confirm. If the confirmation is passed, the invoice will be reviewed according to the reimbursement category. If the confirmation is not passed, all reimbursement categories stored in the system will be displayed on the bill self-service terminal page for the reimbursement applicant to manually select.

[0026] Please refer to Figure 2 , Figure 2 This is a flow chart of the method for intelligent bill inspection and receipt in some embodiments of the present application for performing an associated review of approval form information. According to an embodiment of the present invention, if the confirmation is passed and the reimbursement category is the employee daily reimbursement category, an associated review of the approval form information is performed, and based on the review results, whether to sign for the invoice is determined, including: S21. If the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the employee name data and project name data are matched and identified with the preset approval form database to obtain the target approval form data; S22. Extract the application date based on the target approval form data, compare the invoicing date with the application date, and if the comparison is successful, obtain the reimbursement amount data corresponding to the project name data in the financial system; S23. Compare the invoice amount with the reimbursement amount data. If the comparison result meets the preset comparison result requirements, the invoice is approved and signed for; S24. If the comparison result does not meet the preset comparison result requirements, the invoice is marked as abnormal and an audit prompt message is generated.

[0027] It should be noted that if the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results.

[0028] Please refer to Figure 3 , Figure 3 This is a flow chart of the purchase order-related review of the method for intelligent bill verification and receipt in some embodiments of the present application. According to the embodiment of the present invention, if the confirmation is passed and the reimbursement category is the production material procurement category, the purchase order-related review is performed based on the invoice information, and whether to sign for the invoice is determined based on the review result, including: S31. Enter the purchase order number into the preset financial system database for matching and identification, and obtain the corresponding purchase order data, including detailed data of goods, quantity of goods, contract amount, and supplier name data; S32. Compare the seller name data and project name data with the supplier name data and goods details data respectively. If the comparison is consistent, compare the invoice amount and quantity with the contract amount and goods quantity respectively; S33. If the comparison is consistent, the invoice will be approved and signed for. If the comparison is inconsistent, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0029] It should be noted that if the reimbursement category is production material procurement, a purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results.

[0030] Please refer to Figure 4 , Figure 4 This is a flow chart of the project information association review of the method for intelligent bill inspection and receipt in some embodiments of the present application. According to the embodiment of the present invention, if the confirmation is passed and the reimbursement category is the project settlement category, the project information association review is performed, and whether to sign for the invoice is determined based on the review results, including: S41. If the confirmation is passed and the reimbursement category is the project settlement category, the seller name data and the project name data are input into the preset project supplier management list for comparison. If the comparison is passed, the project progress report data corresponding to the seller name data is obtained; S42. Extract the payment amount corresponding to the current project progress based on the project progress report data, compare the invoice amount with the payment amount, and if the comparison requirements are met, obtain the project acceptance report data corresponding to the seller name data; S43. Extract the project acceptance result data based on the project acceptance report data. If the acceptance is qualified, a prompt is given that the invoice has been reviewed and signed. If the acceptance is unqualified, a prompt is given that the payment process cannot be entered.

[0031] It should be noted that if the reimbursement category is the project settlement category, a review of the project information will be conducted, and whether the invoice will be signed will be determined based on the review results.

[0032] According to an embodiment of the present invention, the further embodiment includes: If the reimbursement category is office supplies purchase, obtain the historical office supplies purchase data of the department to which the invoice belongs, including purchase date, purchase category data, and purchase quantity; Training a preset ARIMA time series model based on the purchase date, purchase category data, and purchase quantity to generate a purchase demand forecasting model; The purchase quantity corresponding to the invoicing date is predicted based on the purchase demand forecasting model to obtain purchase quantity forecast data.

[0033] It should be noted that if the reimbursement category is office supplies procurement, the time series model is used to predict the procurement demand, and whether abnormal procurement occurs is determined based on the difference between the current procurement volume and the demand forecast.

[0034] According to an embodiment of the present invention, the further embodiment includes: Calculate the difference between the quantity and the purchase quantity forecast data, and compare it with a preset difference threshold to obtain a difference threshold comparison result; The project name data and unit price are input into the preset price reference interval sub-database for comparison. If the comparison is successful and the difference threshold comparison result meets the preset threshold comparison result requirements, the invoice is approved and signed for; If the comparison is unsuccessful or the difference threshold comparison result does not meet the preset threshold comparison result requirements, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0035] It should be noted that if there are abnormalities in the purchase unit price, it indicates that there may be abnormal purchasing circumstances, and the invoice will be marked as abnormal and an audit prompt message will be generated.

[0036] The present invention also discloses a bill intelligent inspection and receipt system, comprising a memory and a processor. The memory stores a bill intelligent inspection and receipt method program. When the bill intelligent inspection and receipt method program is executed by the processor, the following steps are implemented: The bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, and verifies the invoice based on the recognition results; After verification, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation; If the confirmation is passed and the reimbursement category is the employee's daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is production material procurement, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and whether the invoice will be signed will be determined based on the review results.

[0037] It should be noted that this application verifies the invoice and intelligently identifies the reimbursement category, and conducts associated audits based on different reimbursement categories and determines whether to sign for the invoice based on the audit results, effectively reducing manual intervention and improving the efficiency and security of bill processing. Among them, the bill self-service terminal scans the invoice and verifies the invoice. If the invoice verification fails, a prompt will be given indicating that the verification failed. If the verification passes, the invoice reimbursement type will be identified, and the identification result will be transmitted to the bill self-service terminal page for the reimbursement applicant to confirm. If the confirmation passes, the invoice will be reviewed according to the reimbursement category. If the confirmation fails, all reimbursement categories stored in the system will be displayed on the bill self-service terminal page for the reimbursement applicant to manually select.

[0038] According to an embodiment of the present invention, the self-service bill service terminal scans the invoice to obtain image file data, performs OCR recognition, and verifies the invoice based on the recognition result, including: The bill self-service terminal scans the invoice to generate image file data, performs OCR recognition on the image file data, and extracts key features from the recognition results to obtain structured data on the invoice face; The ticket structured data includes basic ticket information and detailed ticket information; The basic information on the invoice includes the invoice code, invoice number, invoice date and invoice amount; The detailed information on the ticket includes item name data, quantity, unit price, seller name data and purchase order number; The invoice code, invoice number, invoice date and invoice amount are transmitted to the preset tax invoice verification platform for verification.

[0039] It should be noted that the bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, obtains the OCR recognition results, and then uses natural language processing technology to extract key fields from the recognition results, and finally converts them into computer-processable invoice structured data. The invoice structured data is then sent to the tax invoice verification platform through the interface for verification and duplication checking.

[0040] According to an embodiment of the present invention, after the verification is passed, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation, including: Enter the project name data and the seller name data into a preset bill type identification list for mapping to obtain reimbursement category data, including employee daily reimbursement category data, production material procurement category data, and project settlement category data; The reimbursement category data is transmitted to the bill self-service terminal page for prompt confirmation.

[0041] It should be noted that the invoice reimbursement category is identified based on the project name data and seller name data in the invoice, and the identification result is transmitted to the self-service terminal page for the reimbursement applicant to confirm. If the confirmation is passed, the invoice will be reviewed according to the reimbursement category. If the confirmation is not passed, all reimbursement categories stored in the system will be displayed on the bill self-service terminal page for the reimbursement applicant to manually select.

[0042] According to an embodiment of the present invention, if the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the approval form information is reviewed and whether to sign for the invoice is determined based on the review result, including: If the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the employee name data and project name data are matched and identified with the preset approval form database to obtain the target approval form data; Extract the application date based on the target approval form data, compare the invoicing date with the application date, and if the comparison is successful, obtain the reimbursement amount data corresponding to the project name data in the financial system; Compare the invoice amount with the reimbursement amount data. If the comparison result meets the preset comparison result requirements, the invoice will be approved and signed for; If the comparison result does not meet the preset comparison result requirements, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0043] It should be noted that if the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results.

[0044] According to an embodiment of the present invention, if the confirmation is passed and the reimbursement category is the production material procurement category, a purchase order association review is performed based on the invoice information, and whether to sign for the invoice is determined based on the review result, including: Enter the purchase order number into the preset financial system database for matching and identification to obtain the corresponding purchase order data, including detailed data of goods, quantity of goods, contract amount and supplier name data; Compare the seller name data and project name data with the supplier name data and goods details data respectively. If the comparison is consistent, compare the invoice amount and quantity with the contract amount and goods quantity respectively; If the comparison is consistent, the invoice will be reviewed and signed for. If the comparison is inconsistent, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0045] It should be noted that if the reimbursement category is production material procurement, a purchase order association review will be conducted based on the invoice information, and whether the invoice is signed will be determined based on the review results.

[0046] According to an embodiment of the present invention, if the confirmation is passed and the reimbursement category is the project settlement category, then the project information association review is performed, and whether to sign for the invoice is determined based on the review result, including: If the confirmation is passed and the reimbursement category is the project settlement category, the seller name data and project name data will be entered into the preset project supplier management list for comparison. If the comparison is passed, the project progress report data corresponding to the seller name data will be obtained; Extract the payment amount corresponding to the current project progress based on the project progress report data, compare the invoice amount with the payment amount, and if the comparison requirements are met, obtain the project acceptance report data corresponding to the seller's name data; The project acceptance result data is extracted based on the project acceptance report data. If the acceptance is qualified, the invoice will be prompted to pass the review and be signed. If the acceptance is unqualified, a prompt will be given that the payment process cannot be entered.

[0047] It should be noted that if the reimbursement category is the project settlement category, a review of the project information will be conducted, and whether the invoice will be signed will be determined based on the review results.

[0048] According to an embodiment of the present invention, the further embodiment includes: If the reimbursement category is office supplies purchase, obtain the historical office supplies purchase data of the department to which the invoice belongs, including purchase date, purchase category data, and purchase quantity; Training a preset ARIMA time series model based on the purchase date, purchase category data, and purchase quantity to generate a purchase demand forecasting model; The purchase quantity corresponding to the invoicing date is predicted based on the purchase demand forecasting model to obtain purchase quantity forecast data.

[0049] It should be noted that if the reimbursement category is office supplies procurement, the time series model is used to predict the procurement demand, and whether abnormal procurement occurs is determined based on the difference between the current procurement volume and the demand forecast.

[0050] According to an embodiment of the present invention, the further embodiment includes: Calculate the difference between the quantity and the purchase quantity forecast data, and compare it with a preset difference threshold to obtain a difference threshold comparison result; The project name data and unit price are input into the preset price reference interval sub-database for comparison. If the comparison is successful and the difference threshold comparison result meets the preset threshold comparison result requirements, the invoice is approved and signed for; If the comparison is unsuccessful or the difference threshold comparison result does not meet the preset threshold comparison result requirements, the invoice will be marked as abnormal and an audit prompt message will be generated.

[0051] It should be noted that if there are abnormalities in the purchase unit price, it indicates that there may be abnormal purchasing circumstances, and the invoice will be marked as abnormal and an audit prompt message will be generated.

[0052] The third aspect of the present invention provides a readable storage medium, which stores a program for the method for intelligently checking and receiving bills. When the program for the method for intelligently checking and receiving bills is executed by a processor, the steps of the method for intelligently checking and receiving bills as described in any one of the above items are implemented.

[0053] The present invention discloses a method, system and medium for intelligent inspection and receipt of bills, which can verify invoices and intelligently identify reimbursement categories, conduct associated audits based on different reimbursement categories, and determine whether to sign for invoices based on the audit results. The technology of this application can effectively assist in financial data collection, data standardization and data integration, open up the integrated connection between offline physical and online business processes, standardize financial data quality, and improve financial processing efficiency and security.

[0054] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0055] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0056] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0057] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware related to program instructions, and the aforementioned program may be stored in a readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0058] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as standalone products, they can also be stored on a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This software product, stored on a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as removable storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for intelligent bill inspection and receipt, characterized in that: The following steps are involved: The bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, and verifies the invoice based on the recognition results; After verification, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation; If the confirmation is passed and the reimbursement category is the employee's daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is production material procurement, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and whether the invoice will be signed will be determined based on the review results.

2. The method for intelligent bill inspection and receipt according to claim 1, characterized in that: The self-service bill terminal scans the invoice to obtain image file data, performs OCR recognition, and verifies the invoice based on the recognition result, including: The bill self-service terminal scans the invoice to generate image file data, performs OCR recognition on the image file data, and extracts key features from the recognition results to obtain structured data on the invoice face; The ticket structured data includes basic ticket information and detailed ticket information; The basic information on the invoice includes the invoice code, invoice number, invoice date and invoice amount; The detailed information on the ticket includes item name data, quantity, unit price, seller name data and purchase order number; The invoice code, invoice number, invoice date and invoice amount are transmitted to the preset tax invoice verification platform for verification.

3. The method for intelligent bill inspection and receipt according to claim 2, characterized in that: After the verification is passed, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation, including: Enter the project name data and the seller name data into a preset bill type identification list for mapping to obtain reimbursement category data, including employee daily reimbursement category data, production material procurement category data, and project settlement category data; The reimbursement category data is transmitted to the bill self-service terminal page for prompt confirmation.

4. The method for intelligent bill inspection and receipt according to claim 3, characterized in that: If the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the approval form information will be reviewed and the decision on whether to sign for the invoice will be made based on the review results, including: If the confirmation is passed and the reimbursement category is the employee daily reimbursement category, the employee name data and project name data are matched and identified with the preset approval form database to obtain the target approval form data; Extract the application date based on the target approval form data, compare the invoicing date with the application date, and if the comparison is successful, obtain the reimbursement amount data corresponding to the project name data in the financial system; Compare the invoice amount with the reimbursement amount data. If the comparison result meets the preset comparison result requirements, the invoice will be approved and signed for; If the comparison result does not meet the preset comparison result requirements, the invoice will be marked as abnormal and an audit prompt message will be generated.

5. The method for intelligent bill inspection and receipt according to claim 4, characterized in that: If the confirmation is passed and the reimbursement category is the production material purchase category, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results, including: Enter the purchase order number into the preset financial system database for matching and identification to obtain the corresponding purchase order data, including detailed data of goods, quantity of goods, contract amount and supplier name data; Compare the seller name data and project name data with the supplier name data and goods details data respectively. If the comparison is consistent, compare the invoice amount and quantity with the contract amount and goods quantity respectively; If the comparison is consistent, the invoice will be reviewed and signed for. If the comparison is inconsistent, the invoice will be marked as abnormal and an audit prompt message will be generated.

6. The method for intelligent bill inspection and receipt according to claim 5, characterized in that: If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and the invoice will be signed based on the review results, including: If the confirmation is passed and the reimbursement category is the project settlement category, the seller name data and project name data will be entered into the preset project supplier management list for comparison. If the comparison is passed, the project progress report data corresponding to the seller name data will be obtained; Extract the payment amount corresponding to the current project progress based on the project progress report data, compare the invoice amount with the payment amount, and if the comparison requirements are met, obtain the project acceptance report data corresponding to the seller's name data; The project acceptance result data is extracted based on the project acceptance report data. If the acceptance is qualified, the invoice will be prompted to pass the review and be signed. If the acceptance is unqualified, a prompt will be given that the payment process cannot be entered.

7. A bill intelligent inspection and receipt system, characterized by: The system comprises a memory and a processor, wherein the memory stores a program of a method for intelligently checking and signing for bills, and when the program of the method for intelligently checking and signing for bills is executed by the processor, the following steps are implemented: The bill self-service terminal scans the invoice, obtains the image file data, performs OCR recognition, and verifies the invoice based on the recognition results; After verification, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation; If the confirmation is passed and the reimbursement category is the employee's daily reimbursement category, the approval form information will be reviewed and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is production material procurement, the purchase order association review will be conducted based on the invoice information, and whether the invoice will be signed will be determined based on the review results; If the confirmation is passed and the reimbursement category is the project settlement category, the project information will be reviewed and whether the invoice will be signed will be determined based on the review results.

8. The intelligent bill inspection and receipt system according to claim 7 is characterized in that: The self-service bill terminal scans the invoice to obtain image file data, performs OCR recognition, and verifies the invoice based on the recognition result, including: The bill self-service terminal scans the invoice to generate image file data, performs OCR recognition on the image file data, and extracts key features from the recognition results to obtain structured data on the invoice face; The ticket structured data includes basic ticket information and detailed ticket information; The basic information on the invoice includes the invoice code, invoice number, invoice date and invoice amount; The detailed information on the ticket includes item name data, quantity, unit price, seller name data and purchase order number; The invoice code, invoice number, invoice date and invoice amount are transmitted to the preset tax invoice verification platform for verification.

9. The intelligent bill inspection and receipt system according to claim 8 is characterized in that: After the verification is passed, the invoice reimbursement type is identified and the identification result is transmitted to the bill self-service terminal page for confirmation, including: Enter the project name data and the seller name data into a preset bill type identification list for mapping to obtain reimbursement category data, including employee daily reimbursement category data, production material procurement category data, and project settlement category data; The reimbursement category data is transmitted to the bill self-service terminal page for prompt confirmation.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a bill intelligent inspection and receipt program, and when the bill intelligent inspection and receipt program is executed by the processor, the steps of the bill intelligent inspection and receipt method as described in any one of claims 1 to 6 are implemented.

Citation Information

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