A chatbot plays a vital role in enhancing user engagement and satisfaction through real-time interactions, especially in promptly addressing customer queries, revolutionizing business processes. Most chatbots follow rule-based systems, responding based on predefined rules. However, they face difficulties with out-of-scope questions, often requiring human intervention. Relying solely on rules may hinder accurate interpretation of diverse grammatical structures, potentially leading to inaccurate responses. These chatbots support limited languages and lack autonomy, functioning strictly within predefined rules. While efficient with certain queries, they may struggle with those outside their rule set, despite utilizing algorithms like Binary Search Tree (BST) for query processing. The proposed chatbot utilizes advanced AI to interpret natural language queries and extract insights from predefined data models, streamlining data analysis and business intelligence frameworks to enhance decision-making capabilities. This multilingual chatbot streamlines business insights acquisition by allowing users to engage in their preferred language, emphasizing AI's role in optimizing data analysis efficiency, enabling informed decision-making, and reducing man-hours for increased productivity and cost savings.