Targeted Communication Application for Financial Transaction Messaging
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Solution Overview
Problem
Current financial transaction systems lack efficient mechanisms for targeted communication between businesses and consumers, failing to effectively deliver personalized messages that invite additional transactions based on consumer spending habits and business offerings.
Innovation Solution
A system comprising a commerce platform, a financial management server, and a targeted communication application that generates and delivers business-initiated messages to consumers based on matches between consumer user profiles and transaction records, and vice versa, using keyword matching and statistical analysis to select target recipients for personalized advertisements and offers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional financial transaction systems are used without targeted communication mechanisms, then system simplicity is maintained, but the ability to deliver personalized messages and increase additional transactions is lost
Solution Approach 1:
The patent introduces a message broker as an intermediary component that sits between the financial transaction system and consumers. This broker receives transaction data, performs keyword matching against consumer profiles, and delivers personalized messages. This intermediary approach enables targeted communication and increases additional transactions without requiring complex direct integration between all system components, thus resolving the contradiction between productivity improvement and system complexity.
Solution Approach 2:
The system implements self-service through automated keyword matching and message delivery. The message broker automatically analyzes transaction records, matches keywords with consumer profiles, and delivers personalized messages without human intervention. This automation increases the additional transaction rate while keeping the system manageable by eliminating the need for manual message composition and delivery processes.
2Measurement precision
If comprehensive consumer profile analysis is performed for each message, then message targeting precision is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-processing and indexing consumer profile data and transaction keywords before actual message delivery. The message broker maintains ready-to-use consumer profiles with relevant keywords and preferences pre-analyzed. When a new transaction occurs, the system performs rapid keyword matching against these pre-prepared profiles rather than analyzing complete profiles from scratch, thus achieving high targeting precision with minimal processing time.
3Productivity
If real-time message delivery is implemented, then engagement opportunities are increased, but system resource consumption increases
Solution Approach 1:
The patent applies partial action by selectively delivering messages only to consumers who match specific keyword criteria from recent transactions, rather than sending messages to all consumers. The message broker performs keyword matching and delivers messages only when relevant matches are found. This approach maintains high engagement rates by ensuring message relevance while conserving system resources by avoiding unnecessary message processing and delivery to non-matching consumers.
Data Source
AI summary
A method, system, and computer readable medium for automatically selecting target consumers and delivering business-initiated messages to the selected target consumers, as well as automatically selecting target businesses and delivering consumer-initiated messages to the selected target businesses. In particular, financial management applications used by the businesses and consumers are employed in targeting and delivering the business-initiated messages and consumer-initiated messages.


