Visual Trip Context for Financial Transaction Review
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current financial systems do not effectively allow customers to view their financial activity in a meaningful and efficient manner, particularly for transactions occurring during trips, making it difficult to track expenses and identify fraudulent transactions.
Innovation Solution
A system and method that provide a visual representation of customer financial activity by receiving transaction data, categorizing transactions related to trips, associating images with transactions, and generating a visual representation that includes transactions, stops, and images, allowing customers to easily review their financial activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If bank statements list transactions by processing date only, then the system maintains simple data organization, but customers cannot easily identify or understand the meaning of transactions
Solution Approach 1:
The patent segments transactions into meaningful groups based on contextual criteria such as trips, events, or categories. Instead of presenting a flat list of all transactions, the system divides them into contextual groups (e.g., transactions during a specific trip, transactions related to a particular event), allowing customers to understand the purpose and context of each transaction while maintaining manageable data organization.
Solution Approach 2:
The patent introduces contextual information as an intermediary layer between the raw transaction data and the customer view. This intermediary layer enriches transactions with additional meaning (such as associating transactions with specific trips, locations, or events) without fundamentally changing the underlying data structure, thus preserving simplicity while enhancing understanding.
2Productivity
If the system provides detailed transaction lists, then complete financial records are available, but customers spend excessive time reviewing and understanding transactions
Solution Approach 1:
The patent performs preliminary organization and contextualization of transactions before presenting them to customers. The system pre-groups transactions by trip, event, or category and pre-associates relevant contextual information, so that when customers review their transactions, the work of understanding and categorization has already been done, significantly reducing the time required to review financial activity.
Solution Approach 2:
The patent adds contextual dimensions to transaction data beyond simple chronological ordering. By organizing transactions along additional dimensions such as trip, location, event type, or merchant category, the system enables customers to quickly scan and understand transactions through multiple organizational lenses, improving review efficiency without losing detail.
3Adaptability or versatility
If the system organizes transactions chronologically, then the data structure remains simple, but customers cannot easily track expenses by trip or event
Solution Approach 1:
The patent segments the chronological transaction stream into contextual segments such as trips, events, or projects. Each segment contains relevant transactions grouped together with contextual metadata, allowing customers to track expenses by trip or event while maintaining the underlying chronological data structure for reference and analysis.
Solution Approach 2:
The patent implements a nested organizational structure where transactions are nested within trips, which are nested within time periods. This hierarchical nesting allows customers to view expenses at multiple levels of detail - from broad time-based overviews down to specific transactions - without requiring completely separate data structures for each organizational dimension.
Data Source
AI summary
In some embodiments, transaction data associated with a user may be processed based on one or more criteria indicative of a trip to determine transactions related to the trip. Based on a comparison between geolocation data associated with stored images and location data associated with the transactions, a visual representation derived from the images may be generated, where the visual representation indicates correlations between the images and the transactions determined to be related to the trip. Display instructions for displaying the visual representation on a client device of the user may be provided to the client device.