With the stark rise in the outbreak of COVID-19 in numerous countries, India, amongst other nations, too is considerably affected by it also it has shaken the global health system and economy by their roots. The virus is still spreading and there are no signs of decreasing the trend. Vaccination is the only effective and important means which could control this situation. Several research institutions and pharmaceutical companies have plunged into the race of vaccine development against COVID‐19 and currently, it is being distributed among normal people. Logistics and supply chain for distribution of vaccine in a country like India where the population is way too much is the challenge. The deployment of COVID-19 vaccines is kind of a challenge because of transportation and storage. Temperature data is an important source of knowledge that can be recorded from different data sources such as sensors. The study focuses on predictive maintenance to manage the vaccine distribution while transporting. Also, it focuses on post-vaccine symptoms data which can be used for improving the vaccine.