Multi-request compiling server for application data synchronization
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Solution Overview
Problem
The inefficiencies in collecting and synchronizing digital information for multiple receiving systems, where each system has unique evaluation criteria, lead to data duplication and increased effort for applicants in industries like government and academic institutions.
Innovation Solution
A system and method for processing multi-request applications using an applicant device, a multi-request compiling server, and predictive modeling to determine actual eligibility criteria, compile data, and manage supplementary requirements, thereby streamlining the application process and reducing duplication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If applicants manually collect and compile data into separate requests for each receiving system, then each receiving system receives complete data according to its criteria, but the applicant experiences data duplication and increased time consumption
Solution Approach 1:
The patent segments the application process into distinct components: a universal input form that collects all possible data once, and then automatically segments this data into multiple separate requests tailored to each evaluator device's specific criteria. This eliminates manual duplication while ensuring each evaluator receives complete, relevant data.
Solution Approach 2:
The patent introduces an intermediary compiling server that acts as a mediator between the applicant's single data submission and multiple evaluator devices. This server automatically processes, validates, and distributes the data to appropriate evaluators, eliminating the need for applicants to manually synchronize data across multiple systems.
2Adaptability or versatility
If applicants submit applications to multiple evaluator devices with different criteria, then they increase their chances of acceptance, but they face uncertainty and additional effort in meeting varying requirements
Solution Approach 1:
The patent creates a universal input form that serves multiple functions: it collects data needed by all evaluator devices while also capturing specific requirements for each individual evaluator. This single form adapts to diverse criteria without requiring applicants to complete separate forms for each evaluator, significantly reducing operational effort.
Solution Approach 2:
The patent performs preliminary actions by pre-configuring the compiling server with knowledge of multiple evaluators' criteria. When an applicant submits data, the system proactively determines which evaluators are appropriate and what specific requirements each has, allowing applicants to fulfill all varying requirements through a single submission rather than discovering and addressing them separately.
3Loss of information
If the system collects and synchronizes data for multiple receiving systems, then all systems receive the information they need, but the process becomes inefficient and problematic
Solution Approach 1:
The patent establishes a continuous automated process where the compiling server continuously validates, processes, and distributes data to appropriate evaluators without interruption. This eliminates the inefficiencies of manual data collection and synchronization, ensuring all evaluators receive needed information while maintaining high productivity through automated, continuous operation.
Data Source
AI summary
A system receives application data to be used in requests made on behalf of an applicant to a selection of evaluator devices. The system includes a predictive model which predicts actual eligibility criteria for acceptance of a request by the evaluator devices, and is trained with a library of application data including previously evaluated requests and outcomes to the previously evaluated requests. The system compiles the application data into separate requests by synchronizing the application data and identifying a common core of data required by each selected evaluator device and compiling the common core of data along with particular requirements of individual evaluator devices. An applicant can thereby complete a multi-request application which generates requests to a plurality of evaluator devices and which avoids duplication of data storage and data transmission, and reduces effort required by the applicant. Implementations include students making applications for admission to academic institutions.