Customer Service Chatbot With AI
1Sudheshna Shahabadi, 2Ankitha Hudegal, 3Arpitha G, 4K Pavithra, 5Md Ziaur Rahaman
1,2,3,4UG Student, School of CSE, Presidency University, Bengaluru-560064,
5 Assistant Professor, School of CSE, Presidency University, Bengaluru-560064
1sudheshna.s.16@gmail.com, 2Ankitha.1830@gmail.com, 3pavik1504@gmail.com, 4arpitha861@gmail.com, 5 ziyarmn@gmail.com
Abstract-- Our proposed work explores the role of AI chatbots in the tourism industry, focusing on customer service, operational efficiency, and business growth. As a result of artificial intelligence and chatbots are able to perform a broad scope of tasks, from responding to inquiries to processing bookings and giving personalized recommendations. The goal of the project is to identify how AI chatbots positively impact customer experiences by responding quickly, accurately, and relevantly, thus leading to better satisfaction and engagement. AI chatbots improve operational efficiency by handling high volumes of customer interactions instantly, reducing response times, and enabling 24/7 service. This is especially valuable in the tourism industry, where travellers often require immediate assistance. Additionally, chatbots personalize the customer journey by analysing preferences and delivering tailored suggestions, creating a more dynamic and engaging interaction. The findings indicate that, besides improving customer satisfaction, AI chatbots can minimize operational costs and help companies to remain competitive by offering effective, scalable customer support. The project emphasizes that adoption of AI chatbots represents innovation and customer-centric operations and pushes business growth and competitiveness in the market. In a nutshell, AI chatbots are powerful tools that can revolutionize customer service in the tourism sector. They enhance engagement, reduce costs, and provide personalized experiences, which can help businesses maintain a competitive edge in the digital age.
Keywords- AI Chatbots, Natural Language Processing (NLP), Customer-Centric Operations, Dynamic Interaction
