This research paper explores the transformative role of Artificial Intelligence (AI) and predictive analytics in customer journey mapping (CJM), focusing on how AI tools help organizations understand, anticipate, and respond to consumer behavior across various touchpoints[13]. Through a combination of quantitative and qualitative research methods, the study investigates the effectiveness of AI-driven CJM in enhancing consumer satisfaction, loyalty, and personalized engagement. Hypotheses were te…
Read moreThis research paper explores the transformative role of Artificial Intelligence (AI) and predictive analytics in customer journey mapping (CJM), focusing on how AI tools help organizations understand, anticipate, and respond to consumer behavior across various touchpoints[13]. Through a combination of quantitative and qualitative research methods, the study investigates the effectiveness of AI-driven CJM in enhancing consumer satisfaction, loyalty, and personalized engagement. Hypotheses were tested using statistical tools like regression analysis, t-tests, and chi-square tests. Findings reveal significant positive relationships between AI-enabled predictive analytics and consumer satisfaction, particularly through personalized interactions and predictive insights. Visualizations support key data points, and the paper concludes with actionable recommendations for businesses seeking to adopt AI-driven CJM.[2].
