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Abstract on Influence of Chatbots in Enhancing Guest Experience in the Hospitality Industry inBangalore BackgroundThe hospitality industry in Bangalore has seen a significant transformation with the integration oftechnology, mainly through the use of chatbots. These AI-driven tools are designed to facilitatecommunication 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 andoperational efficiency. Their ability to engage with guests in real-time not only improves responsetimes 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 toincreased loyalty and repeat business. Problem StatementIdentifying the challenges faced by establishments in integrating chatbot technology effectively intotheir existing systems is crucial for maximizing its potential benefits. Achieving effective integrationmay include conducting thorough assessments of current systems, investing in staff trainingprograms emphasizing the importance of chatbot functionality, and implementing user-friendlyinterfaces that encourage customer engagement. Addressing issues such as compatibility with legacysystems, staff training requirements, and ensuring a seamless user experience is essential forsuccessful implementation. Successful integration of chatbot technology can significantly streamlineoperations and enhance service delivery, but it requires a strategic approach to overcome thesechallenges. MethodsVirtual assistants, also known as chatbot technology, is getting more prominent and is applied widelyin many industries. The use of chatbots, advantages, disadvantages, and future implications shouldbe further understood; particularly from a technology provider’s perspective.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-17
- DOI
- https://doi.org/10.5281/zenodo.15233893
- Primary Topic
- Probiotics and Fermented Foods
- Type
- article
- Field-Weighted Citation Impact
- 0.00