Self-Imposed Spending Limit System with Dynamic Adjustment
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Solution Overview
Problem
Current budgeting programs require consumers to manually set categories and limits, which can lead to overspending due to lack of effective budgeting practices and reliance on user willpower, and pose security risks with login data storage.
Innovation Solution
A system that stores account profiles with spending limits, adjusts limits over time based on consumer-set targets and categories, using historical data and similar consumer spending patterns to enforce self-imposed spending limits without requiring login data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers manually set budget categories and limits based on past transactions, then the program can provide basic budgeting assistance, but consumers may continue overspending due to lack of effective budgeting practices and reliance on user willpower
Solution Approach 1:
The system enables self-service by automatically analyzing consumer spending patterns and generating budget recommendations without requiring manual input. The system serves itself by using its own data processing capabilities to create personalized budgets, eliminating the need for consumers to manually categorize transactions or set limits.
Solution Approach 2:
The system implements feedback by continuously monitoring transaction data against established budgets and providing real-time notifications when spending approaches or exceeds limits. This closed-loop feedback mechanism helps consumers adhere to budgets by immediately alerting them to overspending situations.
2Loss of information
If consumers are required to provide usernames and passwords for online banking accounts, then the program can access transaction data for budgeting, but the program becomes a high value target for hacking and fraud
Solution Approach 1:
The system extracts only the necessary transaction data information needed for budgeting purposes without requiring or storing sensitive authentication credentials. By taking out only the essential spending pattern data while leaving out username and password requirements, the system maintains functionality while eliminating security vulnerabilities.
Solution Approach 2:
The system acts as an intermediary by establishing secure, limited-access connections to banking accounts that transmit only necessary transaction data without exposing consumer credentials. This intermediary approach allows data access while preventing direct exposure of sensitive login information to potential hackers.
3Loss of time
If consumers set arbitrary budget categories and limits, then the program can be implemented quickly, but the categories and limits may cause consumers to continue overspending without knowledge of better budgeting practices
Solution Approach 1:
The system performs preliminary action by automatically analyzing historical transaction data and pre-generating optimized budget categories and limits before the consumer needs to make decisions. This preliminary analysis of spending patterns enables the system to propose data-driven budget allocations that are more likely to be effective.
Solution Approach 2:
The system applies parameter changes by dynamically adjusting budget categories and limits based on analyzed spending patterns rather than using fixed or arbitrary values. The system modifies budget parameters to reflect actual consumer behavior, optimizing effectiveness while minimizing setup time.
Data Source
AI summary
A method for imposing spending limits includes: storing data related to a payment account; receiving a spending limit request from a consumer associated with the account, the request including a spending target and spending category; generating a budget including a starting spending limit and two or more periods of time; applying, to the account, a spending limit, such that a value of transactions funded by the account during a first period of time and related to the spending category cannot exceed the applied spending limit, wherein the applied spending limit is the starting spending limit; decreasing the applied spending limit after the first period of time, such that transactions funded by the account during a second period of time cannot exceed the decreased applied spending limit; and repeating the decreasing step until the applied spending limit is equal to the spending target.