Transaction Data Analysis for Merchant Sales Information
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Consumers lack an unbiased method for comparing competing services, as they often have incomplete information about service providers' offerings, terms, conditions, and usage characteristics, necessitating a system that gathers and analyzes transaction data to present relevant alternative service options.
Innovation Solution
A system that gathers transaction data from a user's financial account, analyzes it for savings opportunities, and displays relevant offers within the account statement, using anonymized data to match savings opportunities based on usage patterns and location, enabling users to compare and redeem offers through various channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a system gathers and analyzes transaction data to present alternative service options, then consumers gain access to relevant service comparison information, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a third-party comparison system that acts as an intermediary between consumers and service providers. This system collects transaction data from consumers' financial accounts, analyzes it to identify service usage patterns, and presents relevant alternative service options. The intermediary handles the complex data processing and comparison logic, allowing consumers to access comprehensive service information without needing to manually research multiple providers.
2Adaptability or versatility
If the system analyzes transaction data to match savings opportunities, then personalized service recommendations improve, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of transaction data to pre-identify savings opportunities and service alternatives before the consumer needs them. By continuously monitoring transaction patterns and pre-matching them against available service offerings, the system can quickly present personalized recommendations when triggered by specific events (such as a service renewal date or a transaction related to a service category). This preliminary processing reduces real-time computational requirements.
3Measurement precision
If the system presents multiple service alternatives to consumers, then service comparison quality improves, but the interface complexity and user burden increase
Solution Approach 1:
Instead of presenting all available service alternatives uniformly, the system applies local quality by tailoring the presented options to each consumer's specific usage patterns, preferences, and financial context. The analysis of transaction data identifies which services are most relevant to each consumer, and the interface dynamically adjusts to present only those personalized recommendations. This localized approach maintains high comparison accuracy while simplifying the user interface, as consumers see only the most relevant options rather than an overwhelming list of all possible services.
Data Source
AI summary
Disclosed herein is a method of obtaining merchant sales information for marketing or sales teams. Including accessing transaction data from one or more financial institutions and extracting metadata associated with the transaction data in accordance with at least one rule. The metadata is then analyzed to identify transaction data associated with one or more merchants. The transaction data associated with the one or more merchants is provided to the marketing or sales teams.