IoE and AI in Real-Time Customer Behavior Analysis

IoE and AI in Real-Time Customer Behavior Analysis

M. Sunil Kumar (School of Computing, Mohan Babu University, India), Vishal Srivastava (School of Commerce, Jain University, India), Bibhuti Bhusana Behera (Regionl College of Management, India), Michael Savariapitchai (Datta Meghe Institute of Higher Education and Research, Sawangi, India), Sunita Sahu (Bhubaneswar Engineering College, India), Rashmi Mahajan (Balaji Institute of International Business, Sri Balaji University, India), and A. Shaji George (EIT Department, Almarai Company, ITSM, Riyadh, Saudi Arabia)
DOI: 10.4018/979-8-3693-7367-5.ch017
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Abstract

This article investigates how different technologies work together to provide a profound insight into the behavior and preferences of target consumers. The connected network of bias created by the Internet of Everything (IoE) gathers enormous amounts of data, which artificial intelligence systems then analyze to discover patterns and trends in real time. Through the utilization of artificial intelligence's capabilities in machine literacy and predictive analytics, businesses can acquire a full understanding of customer behavior, which ultimately results in the development of more substantiated marketing plans and improved customer behavior. The research focuses on the pragmatic applications of the Internet of Everything (IoE) and artificial intelligence (AI) in diligence, illustrating the influence these technologies have on improving decision-making processes, optimizing operations, and driving competitive advantage. Challenges that are comparable to those that are talked about include data sequestration, security, and the requirement for a robust structure.
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