Predictive Management model- The Leading Business Model with the Coronavirus (COVID-19) Epidemic

Abstract

The proposed work developed a predictive management model to predict what business will be in demand after the coronavirus. Given that all businesses are dying out like what kind of business will stay afloat shortly. The main objectives of this work are to analyse and design a predictive model to discover what is worth investing in and what kind of business will be relevant after the coronavirus epidemic. Web Scraper has been used to extract competitor data in a structured, easy-to-use format to get customer data on a particular service. Machine learning process has been used to extract the hidden patterns to create classification rules for the predictive management model. a large amount of data from millions of sites have been retrieved. The obtain results developed the visual tree and the classification model that could classify 30 business types with 61.1753 % correctly classified instances. The obtains results show that  ‘Sewing reusable masks’,’ medical services’,’ new delivery services’,’ Production of antiseptic and software and automation are the dominant business types that will drive the global business economy in the future.