Ai-Driven Consumer Behavior Analysis for Optimizing Marketing and Financial Strategies with Machine Learning

Abstract

In the era of digital transformation, artificial intelligence (AI) and machine learning (ML) have revolutionized the way businesses analyze consumer behavior to refine marketing and financial strategies. AI-driven consumer behavior analysis enables organizations to leverage data-driven insights for personalized marketing, customer segmentation, demand forecasting, and financial decision-making. This paper explores the role of AI and ML in consumer behavior analysis, highlighting their impact on optimizing marketing campaigns and financial strategies. The study reviews existing literature, discusses methodologies and algorithms used in predictive analytics, and presents challenges and future trends in AI-driven consumer analysis. By integrating AI into consumer insights, businesses can enhance customer engagement, improve return on investment (ROI), and drive financial growth through informed decision-making.