AI Platform for Business Creation via Interest Data Aggregation
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Solution Overview
Problem
Large organizations face challenges in assisting users with specialized expertise and interests in forming and managing new business ventures, as existing systems lack the capability to effectively identify and leverage user interests and hobbies to generate and operate successful businesses.
Innovation Solution
A computing platform utilizing an AI/ML model that aggregates electronic data to identify user interests and generate business plans, including financial, marketing, and human resource plans, to facilitate the creation and management of new business ventures by connecting users with similar interests and providing necessary tools and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a computing platform uses AI/ML models to identify user interests and generate business plans, then the ability to assist users in forming businesses is improved, but the system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: data aggregation module, AI/ML model training module, business generation module, and management tools module. Each module handles specific tasks independently, making the complex system manageable and maintainable while preserving the overall capability to assist users in forming businesses.
Solution Approach 2:
The patent introduces intermediary components such as the computing platform that mediates between raw user data and business generation outcomes. The platform aggregates data from multiple sources, processes it through AI/ML models, and transforms it into actionable business plans and management tools, simplifying the interaction between users and the complex underlying system.
2Measurement precision
If the platform aggregates electronic data about user activities and transactions, then the precision of identifying user interests improves, but the data processing requirements and system resources increase
Solution Approach 1:
The system extracts only the relevant features and patterns from aggregated electronic data that are necessary for identifying user interests and generating business plans. Rather than processing all raw data, the AI/ML models extract key insights and characteristics, reducing data processing requirements while maintaining high precision in interest identification.
Solution Approach 2:
The platform performs preliminary data aggregation and preprocessing before feeding data to AI/ML models. By organizing and preparing data in advance with relevant features extracted, the system reduces the computational burden during the actual business generation process while maintaining high precision in user interest identification.
Data Source
AI summary
A computing platform to generate and manage businesses for users. An artificial intelligence/machine learning (AI/ML) model is continually trained to identify user interests and hobbies that may be transformed into business ventures. The computing platform aggregates electronic data about activities or transactions performed via applications computing systems providing products or services to users. The computing platform facilitates generation of a new business based on prioritized feature sets. The AIMI generates and creates management tools such as business plans that include financial plans, marketing plans, human resource plans, competitor environment analysis, and other management tools for successful operation of the new business.