Coded Distribution Rules for Scalable Exit Scenario Allocation
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Solution Overview
Problem
Conventional spreadsheet-based methods for managing equity distribution in business enterprises are tedious, error-prone, lack centralized version control, and do not scale well, leading to inefficient and labor-intensive resource distribution processes.
Innovation Solution
A system that uses programming code to define distribution rules, allowing for automated parsing and interpretation of these rules into a parse tree to generate exit scenario outputs, thereby simplifying and accelerating the distribution process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If spreadsheet-based manual methods are used for equity distribution, then flexibility in creating distribution rules is maintained, but the process becomes tedious, error-prone, and labor-intensive
Solution Approach 1:
The patent replaces manual spreadsheet operations with an automated execution engine that parses source code defining distribution rules. The system compiles these rules into executable form and automatically processes capitalization table data, eliminating manual data entry and formula creation while maintaining the flexibility of custom distribution logic.
Solution Approach 2:
The execution engine autonomously processes distribution calculations by automatically parsing source code, compiling rules, and generating allocation results without human intervention. The system self-manages the entire distribution workflow from input data to output results, reducing labor-intensive manual operations.
2Device complexity
If spreadsheet-based distribution rules are used, then simple implementation is possible, but centralized version control and automatic tracking of changes are lacking
Solution Approach 1:
The patent introduces a centralized execution engine as an intermediary between distribution rules and processing. This engine maintains version control of source code, automatically tracks changes to distribution rules, and ensures consistent application across all calculations. The system provides audit trails and change tracking that spreadsheets lack, improving reliability without significantly increasing complexity.
3Adaptability or versatility
If manual spreadsheet methods are used for resource distribution, then adaptability to different distribution scenarios is possible, but the process does not scale well and is time-consuming
Solution Approach 1:
The patent replaces manual spreadsheet processing with an automated execution engine that compiles distribution rules from source code and efficiently processes capitalization table data. This automated system maintains the adaptability to handle various distribution scenarios through programmable rules while dramatically reducing processing time and enabling scaling to larger datasets.
Solution Approach 2:
The system performs preliminary compilation of distribution rules from source code into executable form before processing capitalization table data. This pre-compilation step enables rapid processing of distribution calculations, reducing the time required for actual resource allocation while maintaining full adaptability to different distribution scenarios through the programmable rule system.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an exit scenario output that characterizes an exit scenario for a business enterprise. In one aspect, a method comprises receiving, at an execution engine, data that represents ownership of assets by multiple participants and source code that defines distribution rules of distributing the assets over one or more steps among the multiple participants using a programming language; receiving, at the execution engine, an exit scenario input; automatically parsing, by the execution engine, the distribution rules defined in the source code into a parse tree; and interpreting, by the execution engine, the parse tree to produce an exit scenario output.


