A Study on Evolutionary Technique to Predict the Sales During COVID-19

Author:

PriyaDarshani Manu1,Sinha Mohan Prasad2,Sinha Keshav1ORCID

Affiliation:

1. Birla Institute of Technology, India

2. Chasnalla Academy, India

Abstract

COVID-19 has affected the growth of every industry; in the meantime, an enormous amount of demand is present in the field of telecom and automobiles. In this chapter, the authors present case studies based on sales prediction for the Indian market. The analysis of the study is based on the various traditional methods like growth rate (GR), percentage growth rate (PGR), and the evolutionary techniques like genetic algorithms (GA). The data are collected for the report of telecommunication and heavy industry ministry (Republic of India). The results are used to analyze the sale of automobiles and telecommunication devices and to predict the growth at the time of the COVID-19 pandemic. The prediction is used to identify the upcoming sale and counterparts with demand.

Publisher

IGI Global

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