Abstract

The swift digitization of markets has significantly transformed consumer behavior. Conventional analytical methods, which depend on retrospective surveys and periodic reporting, frequently fall short in capturing the dynamic and real-time aspects of contemporary consumer decision-making. Artificial Intelligence (AI) empowers companies to analyze extensive, unstructured datasets, identify behavioral trends, forecast demand fluctuations, and tailor engagement strategies on a large scale. This research article investigates how AI-driven analysis of consumer behavior improves organizational responsiveness and strategic agility. It delves into machine learning models, natural language processing, predictive analytics, and reinforcement learning applications within marketing. Additionally, the paper assesses ethical considerations, challenges in data governance, and the long-term strategic ramifications.