Interactive Spending Analysis Display for Financial Data Segmentation
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Solution Overview
Problem
Current financial management systems provide overly complex and static displays that fail to account for periodically repeating variations in user spending, leading to user disengagement and inaccurate tracking, particularly distinguishing between discretionary and non-discretionary spending.
Innovation Solution
A method and system for providing an intuitive and interactive spending analysis display that dynamically adapts to defined categories of day and date, categorizing spending into 'wants' and 'needs' categories, and calculates average spending amounts for weekdays and weekends, allowing users to easily track and control their spending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional financial management systems provide detailed and comprehensive financial data analysis, then the system provides thorough financial tracking, but the display becomes overly complex and requires excessive user interaction and mental analysis
Solution Approach 1:
The patent segments financial transactions into distinct time period categories (work days vs. non-work days) and spending types (discretionary vs. non-discretionary), presenting each segment separately with tailored displays. This segmentation allows comprehensive analysis while maintaining simplicity by showing only relevant categories for each time period type.
Solution Approach 2:
The system dynamically adapts the display based on the current time period category. When it detects a work day, it shows work-day specific spending patterns; when it detects a non-work day, it shows non-work day patterns. This dynamic adaptation ensures the display complexity matches user needs for each specific time period.
2Loss of information
If traditional financial management systems provide static and comprehensive financial reports, then the system provides complete financial information, but user engagement decreases due to lack of interactivity
Solution Approach 1:
The system implements periodic updates to the display based on recurring time period patterns (weekly cycles of work days and non-work days). The display automatically refreshes and adapts its content based on the current day type, creating an engaging periodic interaction pattern that maintains user interest while providing complete financial information.
Solution Approach 2:
The system provides immediate feedback by comparing current spending against historical patterns for the specific time period category. When users view their spending on work days versus non-work days, they receive feedback that helps them understand their spending habits and make adjustments, increasing engagement while maintaining information completeness.
3Ease of manufacture
If traditional financial management systems provide generic financial displays, then the system is simple to implement, but the system fails to account for periodically repeating variations in user spending
Solution Approach 1:
The system performs preliminary classification of time periods into work days and non-work days based on calendar data before analyzing spending patterns. This preliminary action allows the system to automatically adapt to spending variations without requiring complex real-time adjustments, maintaining implementation simplicity while achieving high adaptability to periodic spending patterns.
Data Source
AI summary
A spending analysis display is provided that includes first, second, and third display regions, wherein an uncategorized financial transaction of the first display region is selectable by a user, and a sweeping motion toward either the second or third display region categorizes the selected uncategorized financial transaction under a financial transaction category represented by the second or third display region that is positioned in the direction of the sweeping motion.