NLP Correlation of Financial Transaction Communications

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Solution Overview

Problem

The frequency of financial transaction communications conducted via computing devices makes it difficult for users to track changes, such as refunds, without manually reviewing voluminous and complicated electronic communications.

Innovation Solution

A computer-implemented method using natural language processing to correlate electronic communications associated with financial transactions, identifying updates and correlating them to generate transaction history without manual review.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually review electronic communications to track transaction changes, then they can obtain detailed transaction information, but the time required and complexity increase significantly

Engineering Contradiction:

Improvetransaction tracking accuracyVSAvoidtime to review communications

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system automatically processes and correlates transaction communications without requiring user intervention. The computing device autonomously retrieves communications, correlates them using natural language processing, identifies changes, and generates summaries, allowing the system to serve itself rather than requiring manual user review

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical process of manual communication review with automated natural language processing algorithms. These algorithms parse, correlate, and analyze communication content automatically, substituting human cognitive effort with computational processing that is both faster and more scalable

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If users manually review past communications to track refunds and returns, then they can identify transaction changes, but the process becomes convoluted and difficult

Engineering Contradiction:

Improvetransaction change detectionVSAvoiduser effort to track changes

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces an intermediary system that acts as a bridge between raw communications and user understanding. The computing device serves as an intermediary that automatically retrieves, correlates, and processes communications, then presents the information in a simplified format, eliminating the need for users to directly navigate complex communication threads

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system autonomously performs the entire workflow of retrieving communications, correlating them by transaction context, identifying changes such as refunds and returns, and generating summaries without requiring user effort. The system serves itself by automatically completing tasks that would otherwise require manual user intervention

Inventive Principle:

Principle #25Self-service

3Loss of information

If voluminous transaction communications are stored for reference, then complete transaction history is available, but the volume and complexity make manual tracking prohibitively difficult

Engineering Contradiction:

Improvetransaction history completenessVSAvoidcommunication management complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts only the essential and relevant information from voluminous communications by using natural language processing to identify and extract key elements such as transaction changes, refunds, and returns. This extraction process separates critical information from the overwhelming volume of raw communications, presenting only what is necessary for effective tracking

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system replaces manual information filtering and organization with automated natural language processing algorithms that can efficiently parse, correlate, and summarize large volumes of communications, reducing the perceived complexity for users while maintaining complete transaction history

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12106383B2Communication analysis for financial transaction tracking

Publication Date: 2024.10.01 CAPITAL ONE SERVICES LLC

AI summary

Methods, systems, and apparatuses for correlating electronic communications related to financial transactions. A computing device may receive a first communication related to an update to a past financial transaction. The computing device may identify a second communication by querying, based on the first communication, a communications database. The first communication and second communication may be correlated using one or more natural language processing algorithms. Based on correlating the first communication and second communication, the computing device may identify a portion of the second communication corresponding to the at least one good or service of the past financial transaction by processing, using the one or more natural language processing algorithms, the second communication. The computing device may then cause output of data indicating a correlation between the first communication and the second communication, and the indication of the change to the at least one good or service.