Annuity operation closed-loop management method and system for intelligent sorting of unstructured receipts

By adopting OCR identification technology and automatic sorting methods in annuity operation, the problems of low processing efficiency and high operational risks in the existing technology are solved, and process, automation and intelligent management of electronic documents are realized, and business processing efficiency and data entry accuracy are improved.

CN119692742APending Publication Date: 2025-03-25CHANGJIANG PENSION INSURANCE CO LTD +1
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Patent Information

Application Number
CN202411714441.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

In the prior art, the processing efficiency of annuity operation business is low, there is operational risk, and the electronic document management lacks intelligence and automation, so it is impossible to effectively manage the business key data in the document.

Method used

The closed-loop management method of unstructured documents is adopted to automatically identify document images through OCR identification technology, match business types and capture business key data, realize automatic sorting and process initiation, and perform data review and synchronization in the business process to realize process-based, automated and intelligent management of electronic documents.

Benefits of technology

It improves the processing efficiency of annuity operation business, reduces operation risks, realizes the intelligent and automated management of electronic documents, and ensures the accurate entry and sharing of business key data.

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Abstract

According to the annuity operation closed-loop management method and the annuity operation closed-loop management system for intelligent sorting of the unstructured receipts, the electronic receipts are automatically identified and sorted, automatic entry management of key business data is realized, the data are fully shared in the whole business processing flow, the electronic receipt management process, automation and intelligentization are realized, and the management efficiency of the electronic receipts is improved. The problems that only approval circulation of document images is supported, management and auditing of business key data in documents are lacked, the system function is single, and intelligentization and automation of electronic document management cannot be completely achieved are solved.
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Description

Technical Field

[0001] The present invention relates to the field of financial technology, and in particular to a closed-loop management method and system for annuity operations with intelligent sorting of unstructured documents. Background Art

[0002] As an annuity fund investment manager, Changjiang Pension's operational staff mainly manually judge the document images received by public mailboxes or electronic faxes when processing various over-the-counter business application instructions, transfer instructions, transaction confirmations and other documents. After manually sorting the documents into corresponding business types in the system, they conduct subsequent audits through workflows, support stamping of document images in process nodes, and send electronic document files to the custodian via email after the process is completed. As the company's business scale continues to expand, the number of portfolios increases, the business scenarios become more complex, and the requirements for transaction timeliness become higher and higher, it has become very urgent to explore how to manage a large number of annuity fund documents in an intelligent, process-based, and systematic manner to improve operational business processing efficiency and reduce operational business risks. Summary of the invention

[0003] The technical problem that the technical solution of the present invention needs to solve is that the business processing method of manually judging the document image and manually sorting the business process is inefficient and has high operational risks, which affects the overall business operation level. In addition, the existing technical solution only supports the approval flow of document images, lacks the management and review of key business data in the document, and the system function is relatively single, which cannot fully realize the intelligent and automated management of electronic documents.

[0004] In order to solve the above technical problems, the technical solution of the present invention provides an annuity operation closed-loop management method for intelligent sorting of unstructured documents, comprising the following steps:

[0005] Obtain electronic document image files;

[0006] Perform OCR recognition on the electronic document image file to obtain OCR recognition data, match the corresponding business in the OCR recognition data according to the preset OCR business recognition library, and capture the business key data in the OCR recognition data according to the business and the preset business and business key recognition mapping library;

[0007] Sort the business and key business data according to the business and process mapping library, and configure the correspondence between business types and approval processes to initiate corresponding business processes;

[0008] Users in each business position review, verify and stamp data according to the business process, and upload the processing results, which are reviewed by business process terminal personnel;

[0009] Send the reviewed and approved electronic document image files and corresponding process files to the corresponding custodian of the business;

[0010] Synchronize key business data in the audited electronic document image files to the transaction system and the Baojitong system to achieve closed-loop management of annuity operations.

[0011] Preferably, the preset business and business key identification mapping library includes: the mapping between entrusted product code, fee type, fee amount, payment account, payment account number, latest payment date and entrusted instruction payment business, and the mapping between product code, securities code, transaction account number, confirmation date, confirmation amount, confirmation share, unit net value and fund transaction.

[0012] Preferably, the sorted data includes the entrusted instruction document and fee details information in the entrusted instruction payment business, and the fund transaction document in the fund transaction.

[0013] Preferably, when performing the data review, verification and stamp processing, the fund transaction document is matched and verified with the data in the Baojitong system.

[0014] Preferably, when the information is sent to the custodian corresponding to the business, the entrusted instruction document and fee details are synchronized to the trading system, and the business data parsed from the fund transaction document is backfilled into the Baojitong system.

[0015] Preferably, the sources of the electronic document image file include public mailboxes, faxes, shared disks, virtual printers and manual uploads by users.

[0016] Preferably, the types of the electronic document image files include: entrusted instruction documents, other fund instruction documents, fund transaction documents, fund dividend documents, and direct sales counter documents.

[0017] The technical solution of the present invention also provides an annuity operation closed-loop management method for intelligent sorting of unstructured documents, which adopts the annuity operation closed-loop management method for intelligent sorting of unstructured documents as described above, including:

[0018] The document receiving module is used to obtain the electronic document image file;

[0019] The OCR recognition module is used to perform OCR recognition on the electronic document image file to obtain OCR recognition data, match the corresponding business in the OCR recognition data according to the preset OCR business recognition library, and capture the business key data in the OCR recognition data according to the business and the preset business and business key recognition mapping library;

[0020] The business process configuration module is used to sort the business and key business data according to the business and process mapping library and configure the correspondence between business types and approval processes to initiate the corresponding business processes;

[0021] The process task management module is used for users in various business positions to review, verify and stamp data according to the business process, and upload the processing results for review by business process terminal personnel. The reviewed and approved electronic document image files and the corresponding process files are sent to the custodian corresponding to the business, and the key business data in the reviewed electronic document image files are synchronized to the transaction system and the Baojitong system to achieve closed-loop management of annuity operations.

[0022] The technical solution of the present invention proposes a closed-loop management method and system for annuity operations with intelligent sorting of unstructured documents, which automatically identifies and sorts electronic documents, realizes automatic entry management of key business data, and fully shares data in the entire business processing flow, thereby realizing the process-based, automated and intelligent management of electronic documents, and solves the problem of only supporting the approval flow of document images, lacking management and review of key business data in documents, and the system having relatively single functions, which cannot fully realize the intelligent and automated management of electronic documents. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A flow chart of a closed-loop management method for annuity operations for intelligent sorting of unstructured documents provided by an embodiment of the present invention;

[0024] Figure 2 A diagram of a closed-loop management system for annuity operations for intelligent sorting of unstructured documents provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0026] like Figure 1 As shown, an embodiment of the present invention provides an annuity operation closed-loop management method for intelligent sorting of unstructured documents, comprising the following steps:

[0027] Step 1: Automatically scan electronic document image files from public mailboxes, faxes, and shared disks, and support users to upload electronic document image files from a virtual printer or manually;

[0028] Step 2: The acquired electronic document image file is automatically subjected to OCR recognition, and the key business data in the electronic document image is captured and stored;

[0029] Key business example - entrusted instruction payment business: automatically identify and parse key business data including product code, fee type, fee amount, payment account, payment account number, latest payment date, etc.;

[0030] Key business example - Fund transaction: The key business data automatically identified and parsed include product code, securities code, transaction account number, confirmation date, confirmation amount, confirmation share, unit net value, etc.

[0031] Step 3: The system automatically sorts the electronic document files according to the document type and business key data identified by OCR, and initiates different business processes;

[0032] Step 4: According to different business processes, users in various business positions such as fund liquidation handling, fund liquidation review, fund accounting handling, and registration and filing will review, verify, and stamp the document images;

[0033] Key business example - entrusted instruction payment business: the received entrusted instruction document and fee details are sent to the investment manager. After confirmation by the investment manager, they are sent to the fund accounting handler, fund liquidation handler, and fund liquidation review position in turn for data review and stamping on the document image. The fund liquidation issuing position will make the final review and stamp;

[0034] Key business example - fund transaction: The process simultaneously sends the fund transaction documents to the fund accounting processing position and the fund liquidation position for review and stamping. After the fund liquidation processing position reviews the automatically parsed business data, the system automatically matches and verifies the basic information of the fund transaction in the document with the data in the Fund Insurance System. After the fund liquidation processing position reviews the business data, it will be reviewed by the fund liquidation review position. After the liquidation review is completed and the accounting processing position completes the review, the process ends.

[0035] Step 5: After completing the business process, the system will automatically archive the reviewed electronic images and send the printed image files to the custodian;

[0036] Key business example - entrusted instruction payment business: After the fund clearing and issuing position makes the final review and stamps, the final document image file is sent to the corresponding custodian of the product via email, and the custodian completes the transfer;

[0037] Key business example - Fund transaction: After the fund accounting handler reviews and stamps the image of the fund transaction document, the final document image file will be sent to the corresponding custodian of the product via email.

[0038] Step 6: Send the key business data in various electronic documents that have been reviewed and verified through the process to relevant downstream systems, including transaction systems, basic insurance systems, etc.

[0039] Key business example - entrusted instruction payment business: the system sends the received fee instruction business data to the transaction system;

[0040] Key business example - Fund transaction: The system will fill the business data parsed from the fax-type fund transaction document image back into the Fund Insurance System.

[0041] like Figure 2 As shown, an embodiment of the present invention provides an annuity operation closed-loop management system for intelligent sorting of unstructured documents, including:

[0042] Document receiving module: automatically captures annuity document image files from various channels, including email attachments captured from public mailboxes, fax files captured from the Trafax system through interfaces, and files captured from the specified path of the shared disk. Document types mainly include entrusted instruction documents, other fund instruction documents, fund transaction documents, fund dividend documents, direct sales counter documents, etc.

[0043] OCR recognition module: electronic document image files obtained from public mailboxes and electronic fax systems, identify the document type through OCR, and capture key business information based on different documents to reduce the workload of manual input;

[0044] Business process configuration module: supports flexible configuration of business processes according to the business needs of the liquidation, accounting, and registration teams, defines the nodes of the business approval workflow, and configures the correspondence between business types and approval processes;

[0045] Receiving and sending management module: manages the electronic document files received and sent by the system. In the receiving management, it supports the functions of re-OCR recognition, manual sorting business process, file merging, etc. of the received document files. In the sending management, it supports the resending and forwarding of document files.

[0046] Process task management module: unified management of in-progress and completed business processes, differentiate data permissions according to business teams and roles, view process progress or operate business processes, including sending reviewed business key data to downstream systems;

[0047] Process node review module: edit, supplement and review key business data in various documents according to different document types. The data mainly includes basic document information, entrusted instruction fee information, fund dividend data, fund transaction data, fund subscription / redemption / conversion data;

[0048] Baojitong data verification module: For fund transaction documents and fund dividend documents, the system automatically matches the corresponding electronic document images by obtaining the fund transaction and fund dividend data in the Baojitong system, and fills the key business data captured from the approved electronic document images back into the Baojitong system;

[0049] Document management module: manages all electronic documents in the system, including electronic documents captured from various channels and electronic document files uploaded by users from virtual printers or manually, and classifies and manages document files by using functions such as draft boxes, trash boxes, and historical archives;

[0050] Signature and seal management module: supports the configuration of signature and seal images, maintains business and personal seals used when editing electronic documents, and flexibly controls the use rights;

[0051] Electronic document editing module: edit electronic document images, add seals or text and save them, and support rolling back to the previous version of the image.

[0052] The embodiments of the present invention provide a closed-loop management method and system for annuity operations for intelligent sorting of unstructured documents, which provide business functions such as automatic identification of electronic documents, intelligent sorting, process classification, document review, maintenance of key business data, and document image editing, which greatly reduces the workload of business personnel in sorting documents and entering business data, ensures the coordinated processing of clearing, accounting, and registration and filing businesses, is conducive to the sharing of key business data such as entrusted instructions, fund transactions, and fund dividends in various business links, and realizes the process-based, automated, and intelligent management of electronic documents.

Claims

1. A closed-loop management method for annuity operations for intelligent sorting of unstructured documents, characterized in that: The following steps are involved: Obtain electronic document image files; Perform OCR recognition on the electronic document image file to obtain OCR recognition data, match the corresponding business in the OCR recognition data according to the preset OCR business recognition library, and capture the business key data in the OCR recognition data according to the business and the preset business and business key recognition mapping library; Sort the business and key business data according to the business and process mapping library, and configure the correspondence between business types and approval processes to initiate corresponding business processes; Users in each business position review, verify and stamp data according to the business process, and upload the processing results, which are reviewed by business process terminal personnel; Send the reviewed and approved electronic document image files and corresponding process files to the corresponding custodian of the business; Synchronize key business data in the audited electronic document image files to the transaction system and the Baojitong system to achieve closed-loop management of annuity operations.

2. The closed-loop management method for annuity operation for intelligent sorting of unstructured documents according to claim 1, characterized in that: The preset business and business key identification mapping library includes: the mapping between entrusted product code, fee type, fee amount, payment account, payment account number, latest payment date and entrusted instruction payment business, and the mapping between product code, securities code, trading account number, confirmation date, confirmation amount, confirmation share, unit net value and fund transaction.

3. The closed-loop management method for annuity operation for intelligent sorting of unstructured documents as claimed in claim 2, characterized in that: The sorted data includes the entrusted instruction documents and fee details in the entrusted instruction payment business, and the fund transaction documents in the fund transaction.

4. The closed-loop management method for annuity operation for intelligent sorting of unstructured documents as claimed in claim 3, characterized in that: When the data is reviewed, verified and stamped, the fund transaction document is matched and verified with the data in the Baojitong system.

5. The closed-loop management method for annuity operation for intelligent sorting of unstructured documents as claimed in claim 3, characterized in that: When the information is sent to the custodian corresponding to the business, the entrusted instruction document and fee details will be synchronized to the trading system, and the business data parsed from the fund transaction document will be filled back into the Baojitong system.

6. The closed-loop management method for annuity operation for intelligent sorting of unstructured documents according to claim 1, characterized in that: The sources of the electronic document image files include public mailboxes, faxes, shared disks, virtual printers and manual uploads by users.

7. The closed-loop management method for annuity operation for intelligent sorting of unstructured documents according to claim 1, characterized in that: The types of electronic document image files include: entrusted instruction documents, other fund instruction documents, fund transaction documents, fund dividend documents, and direct sales counter documents.

8. A closed-loop management system for annuity operations for intelligent sorting of unstructured documents, characterized in that: The annuity operation closed-loop management method for intelligent sorting of unstructured documents as claimed in claim 1 comprises: The document receiving module is used to obtain the electronic document image file; The OCR recognition module is used to perform OCR recognition on the electronic document image file to obtain OCR recognition data, match the corresponding business in the OCR recognition data according to the preset OCR business recognition library, and capture the business key data in the OCR recognition data according to the business and the preset business and business key recognition mapping library; The business process configuration module is used to sort the business and key business data according to the business and process mapping library and configure the correspondence between business types and approval processes to initiate the corresponding business processes; The process task management module is used for users in various business positions to review, verify and stamp data according to the business process, and upload the processing results for review by business process terminal personnel. The reviewed and approved electronic document image files and the corresponding process files are sent to the custodian corresponding to the business, and the key business data in the reviewed electronic document image files are synchronized to the transaction system and the Baojitong system to achieve closed-loop management of annuity operations.

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