Geolocation Tool for Location-Specific Financial Data
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Solution Overview
Problem
Existing systems fail to provide comprehensive, location-specific financial information for major asset purchases, such as houses, which can have significant location-related implications that are often overlooked by potential buyers, requiring extensive research that is not practical.
Innovation Solution
A computerized geolocation tool utilizing a geographic data system that analyzes user data and location data to determine location-specific financial and non-financial effects of asset purchases, generating graphical user interfaces with location-specific financial data, updated in real-time as the user moves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive location-specific financial information is provided for major asset purchases, then decision-making quality is improved, but system complexity increases
Solution Approach 1:
The geographic data system is segmented into multiple specialized components: theme extractor subsystem for analyzing user data, theme relevance subsystem for filtering relevant themes, user model engine subsystem for generating financial data, and local UI generator subsystem for presenting information. This segmentation allows comprehensive information provision while managing system complexity through modular design.
Solution Approach 2:
The patent introduces a geographic data system as an intermediary between users and location-specific financial information. This intermediary automatically collects, processes, and presents relevant data, eliminating the need for users to conduct extensive manual research while maintaining information comprehensiveness.
2Loss of time
If real-time location-specific financial data is provided as users move, then information currency is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing user data through the theme extractor and theme relevance subsystems before users need the information. User profiles and theme relevances are established in advance, allowing the user model engine to quickly generate location-specific financial data when users move to new locations without requiring intensive real-time computation.
Solution Approach 2:
The system implements feedback mechanisms where the local UI generator subsystem presents information to users, who can then provide responses or adjustments. This feedback loop allows the system to refine its data provision strategy, reducing unnecessary computational energy by focusing on location-specific factors that users actually care about based on their interactions.
Data Source
AI summary
Various examples are directed to systems and methods for providing location-specific financial information to a user. A geographic data system may receive a social media data feed and an e-mail feed. The geographic data system may extract theme data from at least one of the social media feed data or the e-mail data and select a first user expense category based at least in part on the theme data. The geographic data system may receive from an application executing at a user computing device location data indicating a first geographic location and generate a location-specific user expense based at least in part on the first user expense category and the location data. The geographic data system may generate a graphical user interface comprising a map including the first geographic location and an indication of the location-specific user expense.