Purpose The purpose of the present article is to highlight the role of Artificial Intelligence (AI) and Robotics in the tourism industry. The various technologies being integrated to improve the service and customer experience in tourism. The expected changes and challenges in tourism in the future are focused in this paper. Design/methodology/approach A systematic study on the emerging technologies of AI and Robotics applied in the tourism sector is presented in the form of a viewpoint. Findings AI certainly enhances tourism experiential services however cannot surpass the human touch which is an essential determinant of experiential tourism. AI acts as an effective complementary dimension to the future of tourism. With the emergence of artificial travel intelligence, it is simpler to make travel arrangements. AI offers travel services that are automated, customized and insightful. AI allows travelers to learn about their behaviors, interests to inclinations and provide a personalized experience. Gone are the days to consult a travel agent, meet him physically and indulge in an endless chain of troubling phone calls to inquire about travel arrangements. Practical implications Tourism marketing to see a positive and improved change that will enhance the tourists’ overall experience due to the application of AI and Robotics. New emerging technologies like chatbots, virtual reality, language translators, etc. can be effectively applied in Travel, Tourism & Hospitality industry. Originality/value The present viewpoint discusses the application and role of AI and Robotics with the help of relevant industry examples and theory. The present paper highlights the different technologies being used and will be used in the future.

Purpose Millennial generation is fashion inclined, interactive and informative social beings. They are very conscious of the brands they wear. Millennia seek, share, inform and exchange fashion brand-related information on social networking sites (SNS). Marketers are subsequently engaging the young prospects and customers to keep up or improve enthusiasm and participation. The study attempts to investigate the role of customer-brand engagement (CBE) of millennials with fashion brands on SNS. The study simultaneously tests the moderating role of involvement levels affecting participation and CBE leading to brand loyalty. Design/methodology/approach The study followed a purposive sample by collecting 466 respondents from the graduate students of a university. The study adopted structural equation modelling (SEM) and Hayes process macros in SPSS 20.0 to test the moderated-mediation model. Findings The study confirms the mediating role of CBE in the relationship between participation and brand loyalty. Different degrees of involvement moderate the mediating role of CBE. Higher levels of involvement enhance the positive effect of participation on CBE. Originality/value The study is first of its kind to investigate the role of CBE and involvement among the millennial group. It also contributes to the related theories like service-dominant logic, social exchange theory and consumer culture theory regarding a unique population group, which is promising and profitable.