Transaction Tagging for Financial Data Segmentation
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Solution Overview
Problem
Small business owners face challenges in separating personal and business financial transactions, making it difficult to generate accurate reports and identify tax-deductible expenses when using the same financial accounts for both purposes.
Innovation Solution
A method and system that utilize tags to identify business transactions, allow users to assign business categories to unclassified transactions, and generate reports by grouping transactions according to these categories, enabling the identification of tax-deductible expenses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users use the same financial accounts for both personal and business transactions, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent segments transaction records by introducing tags that categorize transactions as personal or business-related. The system divides the mixed financial data into distinct segments based on the tag assignments, enabling precise separation of personal and business transactions while maintaining the simplicity of using a single financial account for both purposes.
Solution Approach 2:
The patent introduces tags as intermediary elements between the financial transactions and the categorization system. These tags act as mediators that carry the classification information without altering the underlying transaction data, allowing the system to maintain operational simplicity while achieving precise measurement through the intermediary tagging mechanism.
2Measurement precision
If users manually separate personal and business transactions, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by having users assign tags to transactions at the time of recording, before the need for separation analysis arises. This preliminary categorization eliminates the need for manual separation later, as the system can automatically use the pre-assigned tags to distinguish between personal and business transactions when generating reports.
Solution Approach 2:
The system performs self-service by automatically using the tag information to separate and categorize transactions without requiring manual intervention during the separation process. Once tags are assigned, the system autonomously utilizes this data to generate accurate financial reports and identify tax-deductible expenses, eliminating the need for manual sorting and reducing time loss.
3Productivity
If the system automatically identifies business transactions, then productivity is improved, but device complexity increases
Solution Approach 1:
The system achieves self-service by relying on user-assigned tags to automatically identify and separate business transactions. The automation occurs at the processing stage where the system reads and utilizes the tag information to categorize transactions, generating reports and identifying tax-deductible expenses without requiring complex automated recognition algorithms or additional manual intervention.
Solution Approach 2:
The patent changes the parameter approach by using simple tag identifiers rather than complex transaction analysis algorithms. Instead of attempting to automatically detect business transactions through complex pattern recognition, the system changes the approach to using straightforward tag parameters that users assign, making the system simpler while maintaining high productivity in transaction separation and report generation.
Data Source
AI summary
A method for account tracking that includes receiving a request to generate a report for a business entity, wherein the request specifies a tag associated with the business entity, identifying a plurality of transaction records based on the tag to obtain a plurality of identified transaction records for the business entity, assigning a business category from a plurality of business categories to at least one of the plurality of identified transaction records not associated with one of the plurality of business categories, and generating the report for the business entity by grouping the plurality of identified transaction records according to the plurality of business categories.