AI Address Extraction and Validation for Transaction Processing
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Solution Overview
Problem
Conventional transaction processing techniques are resource-intensive and error-prone, particularly when dealing with unstructured and varied address information.
Innovation Solution
The use of artificial intelligence techniques for automated address data determinations, including address extraction, parsing, and matching, to identify and recommend accurate address information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional transaction processing techniques are used for address validation, then address information can be processed, but the process becomes resource-intensive and error-prone
Solution Approach 1:
The patent replaces conventional mechanical/manual address validation processes with an artificial intelligence-based system that uses machine learning models to automatically extract, parse, and validate address information from unstructured documents, significantly reducing resource consumption while improving accuracy
Solution Approach 2:
The AI system performs self-learning and self-improvement through continuous training on address data, automatically adapting to different address formats and validation rules without requiring extensive manual intervention or resource-intensive conventional processing methods
2Adaptability or versatility
If conventional techniques are used to handle unstructured address information, then address data can be processed, but errors increase
Solution Approach 1:
The patent transforms unstructured address information into structured data by changing the parameters of address components (street, city, state, ZIP code) through AI-based extraction and parsing, enabling the system to handle various address formats while maintaining high accuracy through standardized output parameters
Solution Approach 2:
The AI system segments unstructured address information into distinct components (street address, city, state, postal code) for individual validation and processing, allowing the system to adapt to different address formats while ensuring each component meets accuracy requirements
3Measurement precision
If manual address validation is performed, then address accuracy can be verified, but processing time and resource consumption increase
Solution Approach 1:
The patent replaces manual address validation with an automated AI-based validation system that uses machine learning models to verify address accuracy in real-time, maintaining high measurement precision while dramatically improving transaction processing efficiency by eliminating manual intervention
Solution Approach 2:
The AI validation system operates continuously and automatically throughout the transaction process, providing ongoing address verification without interruption or manual intervention, thereby maintaining high accuracy standards while maximizing processing throughput and efficiency
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for automated address data determinations using artificial intelligence techniques are provided herein. An example computer-implemented method includes extracting address information from one or more documents using at least one artificial intelligence-based address extraction model; parsing, into one or more address components, at least a portion of the extracted address information using at least one artificial intelligence-based parsing model; comparing at least a portion of the one or more parsed address components to stored address information using at least one artificial intelligence-based scoring model; and performing one or more automated actions based at least in part on results from the comparing of at least a portion of the one or more parsed address components to stored address information.