AI-Driven Personalization in Mobile Application and Customer Engagement

Abstract

Abstract: Artificial Intelligence (AI) has significantly transformed mobile applications by enabling advanced personalization techniques that enhance customer engagement. AI-driven personalization uses machine learning algorithms, predictive analytics, and user behaviour tracking to deliver tailored content, product recommendations, notifications, and user experiences. This study examines the impact of AI-based personalization on customer engagement in mobile applications across various sectors such as e-commerce, economics, amusement, and healthcare. The research explores how personalized interfaces influence user satisfaction, retention rates, purchase intentions, and overall app loyalty. It also analyses key technologies including recommendation systems, catboats, real-time data processing, and behavioural analytics. Furthermore, the study discusses ethical concerns related to data privacy, algorithm transparency, and user trust. By evaluating both benefits and challenges, the paper highlights how AI-driven personalization acts as a strategic tool for businesses to strengthen customer relationships and gain competitive advantage. The findings suggest that effective implementation of AI personalization significantly improves engagement metrics while requiring responsible data management performs to ensure long-term sustainability.

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