Automated Life Planner Timelines for Multi-Event Financial Planning
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Solution Overview
Problem
Financial planning systems fail to consider and visually display significant personal life events that impact a user's financial plan, limiting their effectiveness.
Innovation Solution
A system that collects data from various sources to create a personalized financial timeline, incorporating life events such as births, marriages, and job changes, and provides recommendations based on these events, using image processing and machine learning to analyze user data and adjust financial plans accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a human financial planner is used, then personal attention and customization are improved, but the ability to consider and display impacts of multiple future events is limited
Solution Approach 1:
The system enables automated financial planning where the computer system independently collects data from multiple sources, processes life events, generates timelines, and provides recommendations without requiring continuous human intervention. This allows the system to handle multiple future events simultaneously while maintaining personalized service through automated data processing and analysis.
2Device complexity
If traditional financial planning methods are used, then simplicity is maintained, but the visualization of life events and their impacts on financial plans is insufficient
Solution Approach 1:
The system adds a temporal dimension to financial planning by generating visual timelines that display life events chronologically. This timeline visualization shows not only when events occur but also their projected impacts on financial plans, providing a comprehensive view that traditional planning methods cannot offer while maintaining ease of use through automated generation.
3Measurement precision
If data from multiple sources is collected to create personalized timelines, then planning accuracy is improved, but system complexity increases
Solution Approach 1:
The system employs multiple data sources and processing methods that serve universal functions across different user scenarios. The same data collection and analysis framework handles various types of life events (marriages, births, job changes, etc.) and generates comprehensive financial plans, achieving high accuracy without proportionally increasing complexity through standardized multi-functional processes.
Data Source
AI summary
Methods and systems described in this disclosure are directed at developing a life planner for a user based on data collected from various data sources. The life plan is displayed using a timeline that includes events generated from the collected data. As additional data is received, the timeline is updated to reflect the changes or additions to the data. In some embodiments, the life plan includes recommendations and predictions pertaining to a financial plan for the user based on his or her expenses and income.