Document Type : Primary Research paper
Research Scholar, Management, Faculty of Commerce and Management, Rama University, Kanpur, India
Faculty of Marketing, Assistant professor, Jaipuria Institute of Management, Noida, Uttar Pradesh, India
Professor, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India
Department of Computer Science & Engineering, Lovely Professional University, Phagwara, India
Assistant Professor, Computer Science and Engineering, Sathyabama Institute of Science and Technology, India
Assistant Professor, Department of Computer Science & Information Technology (CSIT), Guru Ghasidas Vishwavidyalaya, (A Central University), Koni, Bilaspur, (C.G.), India
Machine learning is a subtype of artificial intelligence in which computers use algorithms to learn from data and discover patterns, a capacity that businesses may exploit in various ways to improve customer service. Machine learning (ML) is improving nearly every function and process automation by enabling operational optimisation. As a result, it improves customer service, speeds up work, lessens errors and improves accuracy. Customer service is one area of the company that might benefit from machine learning. Natural language processing and sentiment analysis are two technologies that can help businesses better understand how to respond to consumer comments and queries. The current study is being carried out to have a better knowledge of the ML. The researcher also examines the application of ML to improve consumer services and devices. The researcher uses secondary data to analyse every element of ML in this study. In order to get reliable findings, this article employed the descriptive research approach. Secondary data from research articles and peer-reviewed papers, and a literature review were employed in this study.