EVALUATING AI-DRIVEN CHATBOTS FOR DECISION-MAKING SUPPORT: A MIXED-METHODS APPROACH ACROSS INDUSTRY DOMAINS

Abstract

The rapidly encroachment of Artificial intelligence (AI) takes revolutionized the way organizations and individuals make decisions, with smart chatbots emerging as powerful tools in various domains. This paper explores the contribution of AI-based chatbots in accelerating informed decision-making by analyzing their capabilities, applications, and limitations. Employing a mixed-methods approach, this research investigates the integration of (NLP), machine-learning (ML), as well as data-analytics into Chatbot systems. The outcome shows that AI-enabled chatbots has a potential to increase and the efficiency and accuracy of enhance decision-making, it reducing the mental burden, and enhance the accessibility factor. However, there are certain challenges are always being there like data-privacy, ethical- considerations, and contextual-understanding remain significant. The study's conclusion discusses implications for the development and use of intelligent chatbots in decision-making processes in the future