Tax Return Preparation via Inference Engine Personalization
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Solution Overview
Problem
Tax preparation software programs typically require extensive user input and fail to provide personalized information or advice, making the process cumbersome and lacking in detail, whereas professional accountants offer personalized services but at a high cost.
Innovation Solution
A system and method that uses inference rules to automatically collect and populate tax data from various documents without user intervention, generating a partially completed tax return, which is then verified and completed with personalized questions and advice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If tax preparation software programs ask each user the exact same questions, then the software structure is simple and cost-effective, but the service lacks personalization and detailed advice
Solution Approach 1:
The software dynamically adjusts the questionnaire based on user responses and inferred characteristics. The system starts with general questions and progressively narrows down to specific tax issues relevant to each user, creating a adaptive interview process that balances personalization with manageable complexity
Solution Approach 2:
The system uses inference rules to automatically determine tax issues and prepare return forms without requiring users to manually answer every question. The software self-adapts by inferring user characteristics and tax situations, reducing the burden on users while maintaining personalization
2Measurement precision
If professional accountants provide detailed personalized information and advice, then service quality is high, but the cost is very expensive
Solution Approach 1:
The patent replaces the mechanical process of manual accountant analysis with an automated inference-based system. The inference engine processes user responses and document data to generate personalized tax advice and return forms, achieving professional-quality service at software costs
Solution Approach 2:
The system introduces an intermediary inference engine that acts between the user's basic information and the complex tax preparation tasks. This intermediary layer automatically processes data, applies tax rules, and generates personalized recommendations, enabling detailed service without direct human intervention
3Reliability
If tax preparation requires extensive user input, then data accuracy can be maintained, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary data collection by automatically obtaining tax documents from users' accounts and emails before the formal preparation process. This preliminary action reduces the amount of manual input needed later while maintaining data accuracy through automated extraction and verification
Solution Approach 2:
The inference engine automatically processes collected data and generates tax return forms without requiring users to manually enter or verify every detail. Users only need to provide access to their financial documents, and the system self-processes the remaining tasks while maintaining accuracy through intelligent inference and validation
Data Source
AI summary
A method involves generating a partially completed tax return based on basic user information without needing to obtain other user inputs through an extensive user interview. A list of simple and concise interview questions are generated or selected from an interview question collection based on the partially completed tax return to finalize the tax return. The method further involves using an inference engine to allow data collection at any time and in any order via specific, personalized questions geared toward completion of the tax return. Therefore the taxpayer spends time reviewing rather than preparing his or her tax documents.