Artificial Intelligence (AI) has emerged as a transformative force in shaping customer experiences by enhancing personalization, improving service efficiency, and fostering engagement. As businesses increasingly integrate AI-driven solutions such as chatbots, predictive analytics, and recommendation systems, understanding their impact on customer satisfaction and experience becomes critical. This study explores how AI influences customer journeys by analyzing secondary data on two key variables: AI endorsement and AI-enhanced experience. A significant challenge in AI adoption is understanding how people feel AI has enhanced their experience and how easily they get used to AI in their daily shopping experiences. This study assesses whether AI endorsement and AI-enhanced experience lead to higher satisfaction levels. The research is structured around hypotheses linking AI endorsement and AI-enhanced experience to AI satisfaction. Specifically, the study investigates whether AI endorsement positively influences customer satisfaction and whether AI-enhanced experience affects the degree of this influence. By leveraging existing data sources, the study provides insights into AI adoption trends and customer satisfaction with the help of the chi-square test and Pearson correlation using Python’s libraries—NumPy, Pandas, and SciPy stats. The findings from the study inform how AI endorsement and AI-enhanced experience can influence AI satisfaction. Ultimately, the research contributes to the broader discourse on AI’s role in enhancing customer experiences, highlighting challenges and opportunities for leveraging AI to create delightful customer journeys.