ABSTRACT:The rapid advancement of artificial intelligence has significantly transformed modern business operations, particularly through the adoption of AI-powered chatbot systems. These systems enable organizations to automate customer interactions, improve service efficiency, and enhance user experience across digital platforms. With the increasing demand for instant communication and 24/7 availability, traditional customer service models are often unable to meet user expectations. AI chatbots, powered by natural language processing (NLP) and machine learning (ML), provide a scalable and efficient solution to this challenge. This research paper explores the role of AI chatbots in business environments by analyzing their architecture, functionality, and impact on customer engagement and operational efficiency. The study focuses on text-based chatbot systems and evaluates their performance using key metrics such as response accuracy, processing time, and customer satisfaction. The findings suggest that AI chatbots significantly reduce operational costs, improve response time, and provide consistent customer support. However, challenges such as contextual understanding, data privacy, and system limitations remain critical concerns.

KEYWORDS: AI Chatbots, Machine Learning, Natural Language Processing, Business Automation, Customer Experience

AI CHATBOTS IN BUSINESS: A STUDY ON CUSTOMER EXPERIENCE AND OPERATIONAL EFFICIENCY

AKASH NARENDRA KARPE
STUDENT–CDOE, MUMBAI UNIVERSITY