Payment Device Profiling for Transaction Analytics Precision
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Solution Overview
Problem
Existing systems fail to effectively analyze and utilize device characteristics of cardholder computing devices during payment transactions, which can impact transaction support, user experience, advertising, and merchandising strategies.
Innovation Solution
A device profiling computer system that receives transaction data, extracts device characteristics, and updates a profiling database to generate analytics and reports based on these characteristics, enabling improved support and targeted advertising for various device configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If device characteristics are collected and analyzed from cardholder computing devices, then user experience and advertising effectiveness are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent segments device characteristics into distinct categories (device type, operating system, browser type, screen resolution, etc.) and processes each category separately through dedicated data extraction and analysis modules. This segmentation allows the system to handle diverse device configurations systematically without overwhelming complexity, as each device attribute can be processed independently and stored in structured formats for targeted analysis.
Solution Approach 2:
The patent introduces intermediary components including device profiling software that acts as a mediator between the cardholder computing device and the transaction processing system. This intermediary extracts and transmits device characteristics data without requiring direct complex interactions between the diverse device configurations and the core system, thereby reducing system complexity while maintaining adaptability.
2Measurement precision
If detailed device characteristic data is extracted and stored, then analytics precision and targeted advertising are improved, but data processing time and storage requirements increase
Solution Approach 1:
The patent performs preliminary extraction and structuring of device characteristic data at the point of transaction initiation. Device profiling software collects and organizes device attributes (device type, OS, browser, screen resolution) before the transaction is fully processed, storing this information in ready-to-analyze formats. This preliminary action eliminates the need for time-consuming data collection during transaction processing, maintaining both precision and speed.
Solution Approach 2:
The patent transforms raw device characteristic data into standardized parameters and categories (e.g., converting various device identifiers into standardized device type classifications). This parameter transformation enables precise analytics through structured data while reducing processing time by converting diverse raw data into uniform, easily queryable formats that can be rapidly analyzed and stored.
3Loss of information
If device profiling database is updated with transaction data, then analytics capability is improved, but data management complexity and processing overhead increase
Solution Approach 1:
The patent creates a universal device profiling database structure that serves multiple functions simultaneously: storing device characteristics, tracking transaction patterns, enabling analytics, and supporting targeted advertising. This multi-functional database design consolidates what could be separate complex systems into a single integrated structure, reducing overall data management complexity while maintaining comprehensive information availability.
Solution Approach 2:
The patent implements feedback mechanisms where the device profiling database continuously updates with new transaction data and device characteristics, and this updated information feeds back into the analytics and advertising systems. The feedback loop enables automatic refinement of device profiles and analytics models without manual intervention, reducing data management complexity through automated iterative improvement while maintaining up-to-date information.
Data Source
AI summary
A device profiling computer system for determining and analyzing characteristics of devices used in payment transactions includes a processor, a device profiling database in communication with the processor, and a memory coupled to the processor. The device profiling computer system is configured to receive a set of first transaction data associated with a first transaction initiated by a cardholder at an online merchant wherein the cardholder initiates the first transaction using a cardholder computing device and wherein the set of first transaction data includes a set of first device characteristic data related to the cardholder computing device, analyze the set of first transaction data to determine a set of device characteristics, and update a device record stored in a device profiling database with the set of first transaction data wherein the device record is associated with the set of device characteristics.