The Impact of Chatbots in Enhancing Guest Experience in the Hospitality Industry in Bangalore
Abstract on Influence of Chatbots in Enhancing Guest Experience in the Hospitality Industry in Bangalore Background The hospitality industry in Bangalore has seen a significant transformation with the integration of technology, mainly through the use of chatbots. These AI-driven tools are designed to facilitate communication and streamline services, offering personalized assistance to guests around the clock. By leveraging natural language processing and machine learning, chatbots can handle inquiries, make reservations, and provide recommendations, ultimately enhancing customer satisfaction and operational efficiency. Their ability to engage with guests in real-time not only improves response times but also allows for a more tailored experience, catering to individual preferences and needs. As a result, hotels and restaurants can foster stronger relationships with their guests, leading to increased loyalty and repeat business. Problem Statement Identifying the challenges faced by establishments in integrating chatbot technology effectively into their existing systems is crucial for maximizing its potential benefits. Achieving effective integration may include conducting thorough assessments of current systems, investing in staff training programs emphasizing the importance of chatbot functionality, and implementing user-friendly interfaces that encourage customer engagement. Addressing issues such as compatibility with legacy systems, staff training requirements, and ensuring a seamless user experience is essential for successful implementation. Successful integration of chatbot technology can significantly streamline operations and enhance service delivery, but it requires a strategic approach to overcome these challenges. Methods Virtual assistants, also known as chatbot technology, is getting more prominent and is applied widely in many industries. The use of chatbots, advantages, disadvantages, and future implications should be further understood; particularly from a technology provider’s perspective.
Institutions
- Gyan Vihar University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-19
- DOI
- https://doi.org/10.5281/zenodo.15244566
- Primary Topic
- Monetary Policy and Economic Impact
- Type
- article
- Field-Weighted Citation Impact
- 0.00