Artificial Intelligence Powered FAQ Assistant for Instant Answers
DOI : 10.46335/IJIES.2024.9.3.1
Authors: Nikita Hemnani , Kajal Patil , Sunidhi Chavan, Nikita Patil, Ashish Bhole
Abstract – The motivation behind AI-based chatbots stems from the desire to create automated systems which simulate human-like conversations, providing convenient and efficient solutions for tasks such as customer support, information retrieval, and task automation. In a settled landscape, AI chatbots facilitate seamless customer interactions. Yet, a significant influx of user inquiries beyond the trained scope triggers system confusion. Consequently, customers experience inconsistencies and prolonged query resolution times, negatively impacting user experience. By deploying advanced training techniques, refining error-handling mechanisms, and expanding the chatbot’s knowledge base, equilibrium is restored, and users enjoy improved engagement and efficient issue resolution. The approach behind AI-based chatbots involves utilizing natural language processing, machine learning, and large datasets to train models which understand and generate human-like responses, enabling effective communication and interaction with users. Creating an AI-based chatbot yields various results, including improved customer engagement, reduced workload for human agents, faster response times, 24/7 availability, and enhanced user experiences, all contributing to increased operational efficiency and user satisfaction. AI chatbots serve as versatile tools, enhancing customer experiences through personalized interactions, while also aiding businesses in optimizing the operations and support services. The evolving capabilities signify a pivotal shift in human-technology interaction.
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