Automated Transaction Document Processing System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing financial accounting systems require intensive manual effort for processing transaction documents, including manual data entry and categorization, due to lack of standard formatting and integration between systems, leading to errors and inefficiencies.
Innovation Solution
An automated system that processes transaction documents by generating complete character strings, identifying transaction identifiers, and storing transaction data in a database, with capabilities for optical character recognition, data augmentation, and reconciliation across multiple documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry and categorization are used in existing financial accounting systems, then flexibility in handling various transaction formats is maintained, but productivity is significantly reduced and errors increase
Solution Approach 1:
The system enables self-service by automatically capturing transaction data from source systems, categorizing it using predefined rules and machine learning models, and posting it to the general ledger without requiring manual bookkeeping intervention. The system serves itself by autonomously completing the entire accounting cycle from transaction capture to financial statement generation.
Solution Approach 2:
The patent replaces the mechanical manual data entry process with an automated electronic system that uses optical character recognition, data extraction algorithms, and automated posting mechanisms. This substitution eliminates the need for physical document handling and manual keying, significantly improving productivity while reducing errors.
2Manufacturing precision
If manual categorization of financial transactions is performed, then adaptability to different transaction types is achieved, but manufacturing precision of data accuracy deteriorates due to human error
Solution Approach 1:
The system changes the parameters of transaction processing by transforming unstructured or semi-structured transaction data into standardized, structured accounting entries. It uses data normalization techniques and automated mapping rules to convert various transaction formats into a consistent format that can be directly posted to the general ledger, ensuring high data accuracy.
Solution Approach 2:
The patent introduces an intermediary layer between transaction source systems and the general ledger. This intermediary uses automated data extraction, validation, and transformation processes to bridge the gap between different systems, reducing integration complexity while maintaining high data accuracy through systematic processing.
3Productivity
If paper documentation is used for transaction communication, then ease of operation is maintained, but loss of time in processing and productivity are significantly worsened
Solution Approach 1:
The system creates digital copies of transaction documents through optical character recognition and data extraction technologies. These digital copies are then automatically processed, categorized, and posted without requiring manual interpretation or physical document handling, eliminating time loss while maintaining processing accuracy.
Solution Approach 2:
The patent performs preliminary actions by automatically capturing and preprocessing transaction data at the source before it reaches the accounting system. Data is extracted, validated, and formatted in advance, eliminating the need for subsequent manual interpretation and significantly reducing processing time.
4Adaptability or versatility
If unique application and database rules are manually created for each business, then adaptability to specific business requirements is improved, but device complexity and ease of manufacture are worsened
Solution Approach 1:
The system achieves universality by providing a standardized automated accounting platform that can serve multiple businesses with different requirements. It uses configurable rules engines and machine learning models that can be adapted to various business types without requiring custom development, making the system easy to implement while maintaining high adaptability.
Solution Approach 2:
The patent implements dynamic adaptability through configurable parameters and rules that can be adjusted based on specific business requirements. The system allows businesses to customize data extraction rules, categorization logic, and posting preferences without requiring manual creation of application and database rules, balancing adaptability with ease of implementation.
Data Source
AI summary
A system for processing a transaction document including one or more financial transaction entries, including a record generation subsystem having data processing means configured to a) receive or generate a complete character string characterizing the financial transaction entries displayed on the document; b) analyze each complete character string to identify known transaction identifiers used in financial transactions; c) analyze each complete character string to identify transaction data strings associated with each identified transaction character string; and d) store transaction data, including the transaction character strings and associated transaction data strings, for each single financial transaction in a database.