Real-time RTP Content Provisioning via ISO 20022 Data Decomposition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current real-time payment (RTP) technologies lack the ability to provide targeted digital content and incentives to customers in a timely and personalized manner, failing to fully leverage the potential of structured messaging data for enhanced user experiences and transaction facilitation.
Innovation Solution
A system that decomposes structured messaging data from ISO 20022-compliant Request for Payment (RFP) messages to identify customer intent and provide real-time digital content and incentives, including payment notifications and offers, directly to customer devices, facilitating immediate decision-making and transaction processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time payment technologies use structured messaging data, then data interoperability is improved, but the ability to provide targeted digital content is lost
Solution Approach 1:
The patent segments the structured messaging data into distinct fields (e.g., transaction amount, counterparty information, timestamp) and processes each field separately to extract relevant intent data. This segmentation allows the system to maintain standardized data interchange while deriving personalized content from specific data segments, thus preserving both interoperability and adaptability.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the structured messaging data and the digital content delivery. This intermediary component (the processing system) transforms standardized payment messages into personalized content by analyzing message fields and matching them with customer profiles and preferences, thereby enabling targeted content delivery without compromising data interoperability.
2Speed
If real-time payment processing is implemented, then transaction speed is improved, but personalized content delivery is delayed
Solution Approach 1:
The patent performs preliminary actions by pre-processing and analyzing structured messaging data fields in real-time as transactions occur. The system extracts intent data and matches it with pre-stored customer profiles and preferences immediately during transaction processing, eliminating delays. Personalized content is generated and delivered within the same real-time processing window, not after the fact.
Solution Approach 2:
The patent maintains continuity of useful action by integrating content personalization directly into the continuous transaction processing flow. Rather than interrupting transactions for content delivery, the system continuously analyzes message data fields and delivers personalized content concurrently with transaction execution, ensuring both speed and immediacy.
3Measurement precision
If messaging data is decomposed and analyzed, then customer intent identification is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex messaging data into discrete, manageable fields (transaction details, counterparty info, timing data) and applies specific analysis techniques to each segment. This segmentation simplifies the overall complexity by breaking down the data analysis task into smaller, more manageable components that can be processed systematically and accurately.
Solution Approach 2:
The patent transforms the structured messaging data into different parameter representations (intent data) through systematic transformation rules. By changing the data parameters from raw message fields to derived intent attributes, the system achieves more accurate customer intent identification while managing complexity through standardized transformation processes.
Data Source
AI summary
The disclosed embodiments include computer-implemented apparatuses and processes that provision, in real-time, targeted digital content based on decomposed, structured messaging data. For example, an apparatus may receive a message associated with an exchange of data involving a first counterparty and a second counterparty. The message includes elements of message data disposed within corresponding message fields, and the message data characterizes a real-time payment requested from the second counterparty by the first counterparty. The apparatus may generate intent data associated with the data exchange based on the elements of the message data, and based on the intent data, obtain digital content associated with the data exchange. The apparatus may transmit notification data that includes the digital content to a device operable by the second counterparty, and an application program executed at the device to may present a portion of the digital content within a digital interface.


