OSP Digital Exhibit Generation for Accurate, Low-Latency Reporting
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Solution Overview
Problem
Current ERP applications face challenges in providing accurate and efficient digital exhibits that report resources in a timely manner, leading to inefficiencies and resource wastage.
Innovation Solution
An Online Service Provider (OSP) system that parses datasets to select appropriate file templates and digital resource rules, producing digital exhibits that meet specific requirements, and sends access indicators for viewing, thereby optimizing resource utilization and reducing computational overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current ERP applications are used to produce digital exhibits, then comprehensive resource reporting is achieved, but processing speed and efficiency deteriorate
Solution Approach 1:
The patent segments the digital exhibit production process into distinct modular components: dataset parsing module, file template selection module, digital resource rule application module, and exhibit generation module. Each module handles a specific aspect of the production process, allowing parallel processing and reducing overall processing time while maintaining accuracy through specialized handling at each stage.
Solution Approach 2:
The system dynamically changes processing parameters based on the specific dataset and requirements. File templates and digital resource rules are selected and applied based on parsed dataset characteristics, allowing the system to optimize processing speed for different exhibit types while maintaining the required accuracy standards through parameter-driven processing.
2Measurement precision
If comprehensive datasets are processed to ensure accurate exhibits, then measurement precision improves, but computational overhead increases
Solution Approach 1:
The patent extracts only the necessary information from comprehensive datasets through selective parsing. The system identifies and extracts specific dataset parameters relevant to the selected file template and digital resource rules, discarding unnecessary data early in the process. This reduces computational overhead while maintaining accuracy by focusing processing power only on relevant data elements.
Solution Approach 2:
The system performs preliminary parsing and identification of dataset parameters before the main exhibit generation process. File templates and digital resource rules are pre-selected based on initial dataset analysis, allowing the main processing stage to work with already-structured data and pre-determined processing paths, thereby reducing overall computational requirements.
3Productivity
If digital exhibits are produced in a timely manner, then productivity increases, but processing time for verification decreases
Solution Approach 1:
The patent incorporates feedback mechanisms at each processing stage to verify data integrity and rule application correctness. The system validates dataset parsing results, confirms file template appropriateness, and checks digital resource rule application during the generation process itself, rather than requiring separate post-processing verification. This continuous feedback approach maintains accuracy while supporting rapid production.
4Manufacturing precision
If complex file templates and rules are applied to meet specific requirements, then manufacturing precision improves, but device complexity increases
Solution Approach 1:
The patent employs universal file templates and digital resource rules that can handle multiple exhibit types and requirements through parameter configuration rather than structural complexity. The same core processing infrastructure supports various exhibit formats by loading different templates and rules, reducing the need for multiple specialized processing paths and simplifying the overall system architecture while maintaining high compliance precision.
Data Source
AI summary
In embodiments, an Online Software Platform (OSP) receives a dataset about a relationship instance between a primary entity and a secondary entity. The OSP parses the dataset to identify a certain domain that is associated with the primary entity or the secondary entity. The OSP selects a file template associated with the certain domain, and identifies a requirement mentioned in the selected file template. The OSP selects a digital resource rule responsive to the dataset, and produces a resource by applying the selected digital resource rule to the dataset. The OSP prepares, from the selected file template, a digital exhibit that is arranged to report the resource as answering the identified requirement. The OSP then sends to another device a notification that includes an access indicator adapted to facilitate viewing the digital exhibit.