The objective of this project is to develop an AI-powered market research framework that assists entrepreneurs in making data-driven business decisions. It aims to explore how machine learning, data analytics, and automation can improve market analysis, consumer insights, and strategic planning.
Study traditional market research techniques used by entrepreneurs and identify limitations such as slow data processing, limited customer insights, and difficulty in predicting market trends.
Explore AI technologies used in market intelligence, including predictive analytics, natural language processing, and automated data collection tools that analyze consumer behavior and industry trends.
Design a conceptual AI-based market research system that collects and analyzes customer data from digital sources such as social media, online reviews, and website analytics.
Develop a framework for using AI-generated insights in entrepreneurial decision making, including product development, pricing strategies, and marketing campaigns.
Evaluate the advantages and challenges of AI-driven market research, including data accuracy, ethical considerations, cost implications, and the potential impact on startup growth and competitiveness.
