Prediction Computing Device for Payment Card Expiry Updates
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Solution Overview
Problem
In card-on-file transactions, when updated payment card information is not promptly updated in merchant databases, transactions are often declined due to expired card information, leading to unnecessary delays and resource inefficiencies.
Innovation Solution
A prediction computing device communicates with a payment network to receive notification signals about original and subsequent PANs, detects cleared payment transactions, determines an effective duration, and generates a predicted expiration date for associated accounts, allowing merchants to update their databases and prevent transaction declines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If merchants manually update payment card information in their databases, then data accuracy can be maintained, but transaction processing time increases and productivity decreases
Solution Approach 1:
The system enables automatic self-updating of payment card information through prediction computing devices that autonomously detect expired cards, generate replacement cards, and update merchant databases without human intervention. This eliminates manual data entry while maintaining accuracy through automated validation processes.
Solution Approach 2:
The system performs preliminary actions by predicting and preparing replacement payment cards before actual expiration issues occur. The prediction computing device proactively generates new cards and updates databases in advance, preventing transaction declines before they happen.
2Measurement precision
If merchants frequently check for updated payment card information, then expiration date accuracy improves, but system complexity and resource consumption increase
Solution Approach 1:
The system implements feedback mechanisms where the prediction computing device continuously monitors transaction outcomes, detects expired cards, and automatically updates payment information. This closed-loop feedback system maintains accuracy without requiring complex manual checking processes.
Solution Approach 2:
The prediction computing device acts as an intermediary between cardholders, merchants, and payment networks. It automatically manages the complexity of tracking and updating payment information across multiple systems, shielding merchants from system complexity while maintaining high accuracy.
3Measurement precision
If the system stores and processes extensive payment card data for prediction, then prediction accuracy improves, but information security risks and data loss potential increase
Solution Approach 1:
The system extracts and processes only essential payment card information needed for expiration prediction, such as card type, issuance patterns, and transaction history. Sensitive data like full card numbers and CVV codes are excluded from storage and processing, reducing security risks while maintaining prediction accuracy.
Solution Approach 2:
The system transforms sensitive payment card data into anonymized parameters and statistical patterns for prediction purposes. By changing the form of data from identifiable personal information to aggregated statistical parameters, the system maintains prediction accuracy while minimizing security and privacy risks.
Data Source
AI summary
A method for updating expiry information of an account is provided. Additionally, a prediction computing device for updating expiry information of an account is provided. Further, a computer-readable storage medium having computer-executable instructions embodied thereon for updating expiry information of an account is provided.