Automated Voucher Processing System for Bookkeeping Accuracy
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Solution Overview
Problem
In traditional bookkeeping, manual processing of vouchers is error-prone and inefficient, especially when dealing with large volumes of data, leading to issues like missing or incorrect records due to human error and recognition errors.
Innovation Solution
A method and system that extracts key information from original vouchers, divides them into sets, and generates accurate bookkeeping vouchers, utilizing techniques like optical character recognition and clustering algorithms to improve matching and reduce manual labor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processing of vouchers is used, then flexibility and adaptability are maintained, but accuracy and productivity deteriorate due to human error and inefficiency
Solution Approach 1:
The patent replaces manual mechanical processing with an automated system comprising an extraction module, division module, and generation module. The extraction module automatically extracts key information from original vouchers using OCR and NLP technologies, the division module automatically groups vouchers into sets based on extracted information, and the generation module automatically creates bookkeeping vouchers, eliminating human error while maintaining high processing efficiency
Solution Approach 2:
The system enables self-service processing where the voucher processing system automatically extracts information, divides vouchers into appropriate sets, and generates bookkeeping vouchers without requiring manual intervention. The system serves itself by autonomously completing the entire voucher processing workflow, improving both accuracy and productivity
2Productivity
If digital intelligence system with rules is used for auto-generation, then productivity is improved, but measurement precision deteriorates due to recognition errors and rule errors
Solution Approach 1:
The patent segments the voucher processing into distinct modules: extraction module that separates key information from original vouchers, division module that groups vouchers into sets, and generation module that creates bookkeeping vouchers. This segmentation allows each module to specialize in its function, improving overall accuracy while maintaining high productivity through automated processing
Solution Approach 2:
The system incorporates feedback mechanisms where the division module uses extracted key information to automatically group vouchers into appropriate sets, and the generation module uses these groupings to create accurate bookkeeping vouchers. The system continuously refines its processing based on the quality of extracted information and grouping results, improving measurement precision while maintaining productivity
3Adaptability or versatility
If manual determination of voucher correlation is performed, then adaptability is maintained, but loss of time increases when voucher count is large
Solution Approach 1:
The patent replaces manual determination of voucher correlations with automated algorithms in the division module. The system automatically extracts key information from each voucher and uses this information to determine correlations and group vouchers into appropriate sets, eliminating the time-consuming manual process while maintaining the ability to handle diverse voucher types and scenarios
Solution Approach 2:
The extraction module performs preliminary extraction of key information from all original vouchers before the division module processes them. This preliminary action prepares the data in advance, allowing the division module to quickly and accurately determine correlations and groupings without time-consuming manual analysis, thus reducing overall processing time while maintaining adaptability
Data Source
AI summary
Embodiments of the present disclosure provide a method, system and storage medium for generating a voucher. The method comprises: obtaining an original voucher; extracting key information of the original voucher; dividing the original voucher into at least one original voucher set based on the key information, the original voucher set including at least one original voucher of a first voucher type; and generating at least one target bookkeeping voucher corresponding to the at least one original voucher set.