Automated Entity Selection Tool for SaaS Platform Evaluation
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Solution Overview
Problem
Manually evaluating potential relationships and computing platforms for Software as a Service (SaaS) application development is time-consuming and error-prone, leading to costly mistakes and reputation damage for enterprises.
Innovation Solution
An automated entity selection tool platform that uses a computer server to retrieve and evaluate electronic records from use case and quality function deployment data stores, constructing computer system configurations, assigning weighted score values, and automatically selecting the most suitable entity based on scoring matrices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual evaluation of potential relationships and computing platforms is performed, then flexibility and human judgment are maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces the manual mechanical evaluation process with an automated computer-based system that uses algorithms to evaluate entities against predefined criteria. The system automatically retrieves entity information, compares it against requirements, and generates evaluation results without human intervention in the actual evaluation steps, thereby eliminating time consumption and human error while maintaining evaluation accuracy.
Solution Approach 2:
The evaluation system is designed to autonomously perform the entire evaluation process without requiring human operators. The computer system self-retrieves data, self-evaluates entities against criteria, and self-generates results, making the process efficient and error-free while preserving the flexibility of customizable evaluation parameters.
2Reliability
If manual RFP evaluation and entity assessment are conducted, then detailed analysis is possible, but misunderstandings and errors occur
Solution Approach 1:
The patent replaces complex manual evaluation processes with a standardized automated system that eliminates misunderstandings. The computer system interprets requirements and evaluates entities consistently according to predefined criteria, removing human subjectivity and communication errors while maintaining reliable and reproducible evaluation results.
Solution Approach 2:
The system transforms the evaluation process from a complex qualitative human judgment process into a structured quantitative comparison. By converting evaluation criteria into measurable parameters and using algorithmic processing, the system simplifies the complexity while improving reliability through consistent application of evaluation standards.
3Measurement precision
If traditional entity selection methods are used, then human expertise is applied, but costly mistakes and reputation damage can occur
Solution Approach 1:
The patent replaces manual entity assessment with an automated computer-based evaluation system that provides precise and efficient selection. The system accurately compares entities against requirements using standardized criteria while dramatically improving selection efficiency through automated processing, thereby preventing costly mistakes without sacrificing the benefits of expert-level assessment.
Data Source
AI summary
A computer server may receive an indication of a selected potential relationship and retrieve, from a use case configuration data store, an electronic record for that relationship. The first entity may then construct computer system configurations in accordance with use case parameters. The computer server may be used to evaluate the constructed computer system configurations, and an entity score result for the first entity may be stored into the use case configuration data store. The computer server may also retrieve, from a quality function deployment data store, an electronic record associated with the first entity and update a uniform scoring matrix by assigning weighted score values for the first entity in connection with a set of platform capabilities. An entity selection tool may be executed to automatically select a recommended entity based on the score results and scoring matrixes, and an indication of the recommended entity may be transmitted.