Automated NIL Fulfillment Tracking via Web Scraping
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Solution Overview
Problem
Existing systems lack automation in onboarding, fulfillment tracking, and payout management for Name, Image, and Likeness (NIL) activities by college athletes, leading to inefficiencies and potential non-compliance with regulations.
Innovation Solution
A method and system that utilize a management server to automatically determine fulfillment of NIL activities by extracting content data from websites and social media platforms, matching it with service agreement obligations, and transmitting fulfillment notifications to a database for payout processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking and verification of NIL activities is used, then compliance with contractual obligations can be monitored, but the process is time-consuming and prone to human error
Solution Approach 1:
The system enables automated self-monitoring of NIL activity fulfillment by using web scraping and API integrations to automatically extract and verify content data from social media platforms and websites, eliminating the need for manual tracking while ensuring accurate compliance monitoring
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated computer-based systems that use web scraping, API calls, and database queries to automatically track and verify NIL activity fulfillment, significantly reducing time consumption while maintaining or improving accuracy
2Productivity
If automated web scraping and API extraction is implemented, then fulfillment tracking efficiency is improved, but system complexity increases
Solution Approach 1:
The system is divided into distinct modular components: web scraping modules for different platforms, API extraction modules, data processing modules, and database storage modules. Each component handles specific tasks independently, making the complex system manageable and maintainable while achieving high productivity
Solution Approach 2:
The patent introduces intermediary components such as data normalization layers and standardized API interfaces that mediate between diverse data sources (social media platforms, websites) and the core fulfillment tracking system, reducing complexity by providing unified access points
3Measurement precision
If comprehensive content data extraction from multiple platforms is performed, then detection accuracy of NIL activities is improved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary filtering and preprocessing of extracted content data before full analysis, using keywords, hashtags, and metadata to identify relevant NIL activities early in the process, reducing the volume of data requiring intensive processing while maintaining detection accuracy
Solution Approach 2:
The patent implements a tiered processing approach where commonly occurring NIL activities are detected using lighter-weight methods, while less frequent or more complex cases receive more comprehensive analysis, optimizing resource consumption across different activity types
Data Source
AI summary
A method of automatically determining fulfillment of services performed by a first entity, the method including at a management server, determining one or more first entities having one or more service agreement obligations to one or more second entities, and extracting content data from one or more websites and/or servers hosting the one or more websites. The content data includes one or more separate and distinct event datasets, each event dataset being generated by a particular first entity of the one or more first entities. Determining, for each event dataset, whether the event dataset includes an indication of a particular second entity. Determining whether the particular first entity and particular second entity have service agreement specific information, and in response to determining that the particular first entity and particular second entity are indicated in the service agreement specific information, automatically determining that a service agreement obligation has been fulfilled.