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

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.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-29
DOI
https://doi.org/10.52783/jisem.v10i30s.4842
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

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

R Sowmya
Journal of Information Systems Engineering & Management
Technology Adoption and User Behaviour
article

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

R Sowmya
article en

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.

Journal of Information Systems Engineering & ManagementVol. 10(30s)
Openalex Percentile: Top 93%
Technology Adoption and User Behaviour
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Ai-Driven Consumer Behavior Analysis for Optimizing Marketing and Financial Strategies with Machine Learning — R Sowmya · Journal of Information Systems Engineering & Management (2025) | TGRS Research Map | TGRS