Debt Management Recommendation Engine for Preference-Based Spending

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing financial management tools fail to provide adaptive, dynamic recommendations tailored to consumer preferences, often leading to confusion and suboptimal financial decision-making, as they do not consider all available options or the consumer's specific financial goals.

Innovation Solution

A computer-implemented method using machine learning to analyze user financial and transaction data, preferences, and spending patterns to recommend actions that positively influence financial goals, presented through notifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional financial management tools provide multiple debt repayment options, then consumers have more choices, but consumers experience confusion and difficulty in selecting the best option

Engineering Contradiction:

Improvefinancial management optionsVSAvoiddecision-making process

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system dynamically changes recommendation parameters based on user-selected criteria. When consumers select specific financial management criteria (e.g., minimize total interest, pay off fastest, balance payments), the system adjusts the debt repayment recommendations to match those parameters, providing adaptive rather than static options.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The financial management system transitions from static, pre-defined repayment plans to dynamic, real-time recommendations. The system continuously updates debt repayment strategies based on current account balances, interest rates, and user preferences, allowing the recommendations to adapt as financial conditions change.

Inventive Principle:

Principle #15Dynamics

2Productivity

If financial management tools focus exclusively on debt repayment strategies, then debt reduction is optimized, but overall short and long-term fiscal effects are neglected

Engineering Contradiction:

Improvedebt repayment efficiencyVSAvoidfinancial goal coverage

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system integrates multiple financial management functions into a single platform. It simultaneously handles debt repayment optimization, savings management, investment recommendations, and overall fiscal planning, allowing consumers to address various financial goals through one comprehensive system rather than separate tools.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The financial management system segments overall fiscal health into multiple measurable components: debt repayment progress, savings accumulation, investment growth, and cash flow management. Each component is tracked and optimized independently while contributing to the consumer's holistic financial picture.

Inventive Principle:

Principle #1Segmentation

3Ease of manufacture

If digital tools provide generic financial advice, then implementation is simple, but consumer-specific financial goals and preferences are not considered

Engineering Contradiction:

Improverecommendation generationVSAvoidpersonalization capability

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system continuously gathers feedback from consumers about their financial goals, preferences, and outcomes. Users can adjust their priorities (e.g., emphasizing emergency fund building versus debt payoff), and the system uses this feedback to refine and personalize subsequent recommendations, creating a closed-loop adaptive system.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system enables consumers to actively participate in shaping their financial recommendations by selecting their own criteria and priorities. Rather than passively receiving generic advice, users configure their preferences and the system automatically generates personalized strategies that reflect their specific goals.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12393978B2Systems and methods for debt management with spending recommendation

Publication Date: 2025.08.19 CAPITAL ONE SERVICES LLC

AI summary

A computer-implemented method may include: receiving financial information regarding a user; categorizing transaction information of the user based on the financial information; displaying the categorized transaction information of the user; receiving information regarding at least one financial preference and at least one transaction preference of the user; training a machine learning engine based on the at least one financial preference and at least one transaction preference of the user to determine one or more activities available to the user; calculating, for each of the one or more activities available to the user, an estimated influence on the at least one financial preference; displaying the estimated influence on the at least one financial preference based on a user selected one of the one or more activities available to the user; filtering the one or more activities available to the user with a positive estimated influence to the at least one financial preference; and presenting a recommendation of action relating to the one of the one or more activities available to the user, wherein the recommendation of action relating to the one of the one or more activities available to the user is presented by at least one of voice notification, application notification, tactile notification, or graphic notification.