In the domain of business intelligence, the ability to efficiently synthesize and analyze extensive secondary market research from a plethora of sources represents a critical challenge. This paper outlines the development of an advanced analytical tool that utilizes Large Language Models (LLMs) and a sophisticated Graphical User Interface (GUI) to streamline the synthesis and analysis of extensive secondary market research. Designed to gather and interpret data from various sources such as news articles, product releases, and professional profiles, the tool provides tailored insights to answer specific business questions. It enables users to interact directly with AI-generated outputs to refine and customize the analysis, ensuring both relevance and accuracy. The tool uniquely supports the creation of detailed market research reports and concise PowerPoint presentations to meet the diverse needs of stakeholders. The paper also discusses the integration of a user feedback loop, which enhances the system's learning capabilities for continuous performance improvement. The outcome of the paper demonstrates that this tool significantly boosts efficiency, precision, and stakeholder engagement in market research analysis, marking a new phase in human-AI collaboration in business intelligence. Index Terms-Large Language Model, Market Research, Interactive Analytics, Competitive Intelligence.