Indirect Tax Legislation Filtering for Affected Product Detection
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Solution Overview
Problem
Companies face challenges in efficiently identifying and implementing material tax rule changes that affect their products, leading to potential financial penalties and loss of customers due to time-consuming and error-prone manual processes.
Innovation Solution
A computing system that filters indirect tax legislation by importing customer sales tax history and configuration data, processing monthly tax rule updates, and generating a legislative change report to identify affected products, using a graphical user interface for user interaction and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to identify and implement tax rule changes, then companies can review and understand each rule change in detail, but the process becomes time-consuming and error-prone, leading to delayed implementation and potential financial penalties
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated computer-based system that uses algorithms to identify affected products and calculate tax impacts. The system automatically processes tax rule changes, compares them against product databases, and generates compliance reports, eliminating the time-consuming manual sorting and analysis while maintaining or improving accuracy through systematic computational methods.
Solution Approach 2:
The patent introduces an intermediary computational layer between tax rule changes and final compliance decisions. This intermediary system acts as a mediator that processes raw tax rules, filters them through product databases, calculates impacts, and presents refined information to users, thereby reducing both time and potential errors in the overall process.
2Reliability
If all tax rule changes are processed manually, then no material changes are overlooked, but the burden and complexity of sorting through hundreds to tens of thousands of rules increases significantly
Solution Approach 1:
The patent segments the overwhelming mass of tax rule changes into manageable components by categorizing them according to relevant criteria such as product categories, tax jurisdictions, and change types. The system divides the processing task into discrete steps: importing rules, parsing them into structured data, comparing against product databases, calculating impacts, and generating reports. This segmentation reduces the perceived and actual complexity while ensuring comprehensive coverage.
Solution Approach 2:
The patent transforms unstructured or semi-structured tax rule text into structured data with defined parameters and attributes. By converting tax rules into a standardized format with identifiable fields (tax rate, effective date, applicable products, jurisdiction), the system enables automated processing and comparison, significantly reducing the complexity of handling large volumes of rules while maintaining reliability through systematic parameter-based analysis.
3Productivity
If companies implement tax rule changes quickly to avoid penalties, then compliance is maintained, but the risk of incorrect implementation increases without thorough review
Solution Approach 1:
The patent performs preliminary actions by pre-processing and pre-analyzing tax rule changes before full implementation. The system imports and parses tax rules in advance, compares them against the product database to identify potentially affected products, and calculates preliminary tax impacts. This preliminary analysis creates a ready-to-implement framework that can be quickly deployed with high confidence, achieving both speed and accuracy by doing the heavy lifting beforehand.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously validates its findings against multiple criteria and cross-checks calculations. The automated system provides feedback loops that verify the accuracy of identified affected products and calculated tax impacts before final implementation, ensuring reliability while maintaining rapid processing through efficient computational validation rather than slow manual review.
Data Source
AI summary
A computing system for filtering indirect tax legislation includes processing circuitry that implements an indirect tax legislation filtering program. The processing circuitry imports customer sales tax calculation history data from a customer sales tax calculation history database, imports customer configuration data from a customer configuration database, and generates a product category report indicating taxable products sold by a customer. New and/or changed tax rules from the monthly data update are imported, and, in response to receiving an instruction to identify products affected by a monthly data update of indirect tax rule changes, the product category report is filtered with the monthly data update of the tax rule changes. A legislative change report indicating product categories and associated products affected by the tax rule changes is generated and output.