Ashwin Chadaga ¹, Nada Nasr ² and Balaji Chandrasekaran ³, ¹ Vanguard, USA, ² University of Illinois, USA, ³ SRM Institute of Science and Technology, India

Implementation of artificial intelligence (AI) for customer behavior prediction has transformed the function of business organizations becoming familiar with customers and their response to them. In this article, the author discusses an overview of implementing AI technology in machine learning, predictive analytics, and natural language processing for the purpose of predicting customer behavior and decisionmaking. With the processing of large volumes of customer information, AI applications are able to understand patterns and trends in order to utilize them for making decisions for particular advertising campaigns, personalized presentation of products, and price optimization. The article further illustrates how the insights derived from AI offer better decision-making towards optimizing return on investment (ROI) for companies. With case studies and examples, this article is emphasizing how the power of AI is not just in forecasting customer behavior but also in enhanced resource optimization, enhanced customer retention, and sustainable business growth.

Customer Behavior Prediction, Artificial Intelligence (AI), Predictive Analytics, Machine Learning, Natural Language Processing (NLP)