In today’s era, where big data and digital technologies are transforming industries, the use of
Artificial Intelligence (AI) for data analytics and consumer behavior prediction has become
increasingly significant. This paper explores the application of machine learning and deep learning
algorithms for uncovering consumer behavior patterns and predicting market trends. Specifically,
it focuses on the use of clustering, recommendation, and forecasting algorithms to identify
consumer preferences and predict potential actions. The study examines several practical
applications, including consumer preference prediction on e-commerce platforms and personalized
marketing, while also addressing the challenges and ethical issues associated with these
technologies. By providing businesses the opportunity to optimize customer experiences and
enhance market performance, AI-driven consumer behavior prediction presents a powerful tool;
however, it also requires careful data management and transparency in its usage. This paper aims
to contribute to the advanced research on AI and offer guidelines for its implementation in the
field of consumer analytics and marketing.
Keywords: Artificial Intelligence, Data Analytics, Machine Learning, Consumer Behavior Prediction,
Market Trends, Deep Learning Algorithms