Enhancing Customer Experience in Ride-Hailing Platforms Through Ai-Driven Digital Marketing Strategies

This research paper examines the transformative impact of artificial intelligence (AI)-driven digital marketing strategies
on customer experience in ride-hailing platforms. Through a comprehensive quantitative analysis of contemporary literature and
empirical data, this study investigates how machine learning algorithms, predictive analytics, and personalized marketing
techniques enhance customer satisfaction and loyalty in the ride-hailing industry. Using multiple linear regression analysis,
structural equation modeling, and predictive machine learning techniques, the research identifies key factors that influence
customer experience, including service quality, personalization effectiveness, and real-time responsiveness. The findings
demonstrate that AI-powered platforms achieve a 30-35% improvement in customer satisfaction metrics, with recommendation
systems achieving accuracy rates between 85-95%. The study concludes that integrated AI-driven marketing strategies significantly
enhance customer retention, increase lifetime value, and provide competitive advantages in the highly competitive ride-hailing
market