Predictive Analytics in a Post Covid-19 World: India's Travel and Tourism Industry

The COVID-19 outbreak across the globe has spurred on an economic crisis and has left no industry unscathed, the T &T industry being no exception. Coming closer to home, the rise in the number of COVID-19 cases, prolongment of India's Lockdown, decline in travel confidence, supply chain disruptions and extensive lay-offs, have left the T &T industry of India choking. The study aims to understand the impact of COVID-19 on India's travel and tourism industry and also to determine the period of the reemergence of the travel confidence and likewise the T &T industry. With the aid of primary data collected using a questionnaire which was distributed among individuals who are willing to travel to/across/from India. Every sample unit was required to answer 4 demographic questions and 6 questions revolving around 4 factors influencing T &T bookings, namely-COVID-19., Job Security, Health Care System and Length of Travel Haul. After analysis of the collected data through descriptive statistics and correlation, it was identified that there exists no significant relationship between the demographic data and the aforementioned factors, medium length of travel haul is most preferred, Job Insecurity is not of prime concern whilst booking despite the present economic conditions and period of the reemergence of the T &T industry is a year from the relief to containment measures. Subsequently, the PHAP framework has also been introduced which lays out the key areas-Price Plans, Health and Hygiene Focus, Ancillary Revenue Identification and Promotion Plans, for T &T businesses to focus on, to easily assimilate and incentivize tourism opportunities post-COVID containment period.