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Enhancing Consumer Behavior and Experience Through AI-Driven Insights Optimization

Enhancing Consumer Behavior and Experience Through AI-Driven Insights Optimization
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Author(s): N. Naveeenkumar (Department of Computer Science and Engineering, Muthayammal Engineering College (Autonomous), Namakkal, India), Sreekanth Rallapalli (Department of MCA, Nitte Meenakshi Institute of Technology, Bengaluru, India), K. Sasikala (Department of Information Technology, R.P. Sarathy Institute of Technology, Salem, India), P. Vidhya Priya (Department of Management Studies, Kongu Engineering College, Perundurai, Erode, India), Jakeer Husain (Department of Applied Sciences, Faculty of Engineering and Technology KBNU Kalaburagi, India)and Sampath Boopathi (Mechanical Engineering, Muthayammal Engineering College (Autonomous), Namakkal, India)
Copyright: 2024
Pages: 35
Source title: AI Impacts in Digital Consumer Behavior
Source Author(s)/Editor(s): Thomas Heinrich Musiolik (Woxsen University, India & University of Europe for Applied Sciences, Germany), Raul Villamarin Rodriguez (Woxsen University, India)and Hemachandran Kannan (Woxsen University, India)
DOI: 10.4018/979-8-3693-1918-5.ch001

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Abstract

This chapter delves into the role of AI-driven behavioral analytics in understanding, predicting, and enhancing consumer experiences. It highlights the integration of behavioral analytics, consumer experiences, and predictive modeling in reshaping market dynamics. The chapter explains the fundamental components of behavioral analytics, emphasizing its significance in understanding consumer preferences and decision-making processes. It also discusses the impact of AI-powered predictive analytics on consumer experiences, anticipating behaviors and fostering proactive strategies. It addresses ethical concerns like data privacy and algorithmic biases. The chapter provides a guide for practitioners, researchers, and businesses to harness AI's transformative potential in contemporary markets.

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