Intelligent Document Error Diagnosis and Auto-Correction
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Solution Overview
Problem
High-volume electronic document processing in distributed server environments often results in batch processing errors, leading to system lag, overload, and shutdowns, requiring manual intervention for error identification and reprocessing, with no automated solution for configuring multiple administration tools or auto-correction of failed batches.
Innovation Solution
An intelligent diagnostic and resolution system that translates various capture tools' application programming interfaces into a common service layer, using a predefined learning set to auto-correct batches and retrigger processing, with a dashboard for monitoring and an automatic retrigger mechanism to manage error batches across different products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to identify and reprocess error batches, then processing accuracy can be maintained, but processing time increases and productivity decreases
Solution Approach 1:
The system enables self-service by automatically detecting error batches, determining appropriate corrections based on predefined rules, and retriggering processing without requiring manual intervention. The error diagnosis and resolution system autonomously manages the entire error correction workflow, allowing the system to fix its own issues.
Solution Approach 2:
The system implements feedback mechanisms by monitoring processing outcomes, identifying error batches, and using this information to automatically correct errors and retrigger processing. The feedback loop ensures that errors are detected and corrected systematically, maintaining both accuracy and efficiency.
2Adaptability or versatility
If multiple capture tools with different administration methods are integrated, then system versatility improves, but device complexity increases
Solution Approach 1:
The system introduces an intermediary layer that translates and standardizes communication between multiple capture tools and the central processing system. This intermediary mechanism allows different tools with varying administration methods to be unified under a common framework, reducing integration complexity while maintaining versatility.
Solution Approach 2:
The system achieves universality by creating a common platform that can handle multiple capture tools through standardized interfaces. The error diagnosis and resolution system provides universal functionality across different tools, enabling consistent error management regardless of the underlying capture technology.
3Measurement precision
If error batches are manually logged and processed in each product, then processing precision is maintained, but loss of time increases
Solution Approach 1:
The system replaces manual mechanical processes with automated electronic systems. Instead of manually logging and processing errors in each product, the system uses automated detection, translation, and correction mechanisms that perform the same functions electronically and rapidly, eliminating time-consuming manual operations.
Solution Approach 2:
The system performs preliminary actions by pre-defining correction rules and preparing error handling procedures in advance. When errors occur, the system can immediately apply predefined corrections without needing to manually analyze each error case, significantly reducing processing time while maintaining precision.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for intelligence diagnosis and resolution of electronic document processing errors. As electronic documents are generated and transmitted throughout an entity, high volume segregation, classification, and indexing is needed for retention of the electronic documents. High volume processing batches are prone to locking, which disrupts and halts processing. As such, the system provides a multi layered intelligent diagnostic and resolution processing for interpretation, translation, and correction of electronic document error batch processing to eliminate lag and locking in document process retention.