Abstract
AI has been in talks since data was considered an asset. Using this data prolific information has been extracted to gather detailed information and create datasets. AI is shaping the narrative of the world in the 21st century. It has become a driving force behind innovation, influencing various industries and redefining traditional practices. AI has revolutionized customer engagement strategies across industries, particularly banking. This paper explores the role of AI-based promotions platforms enhancing customer engagement, personalized promotions, and driving business growth. By leveraging advanced machine-learning algorithms and data analytics, banks can segment their customer base, analyze spending patterns, and design customized promotions that resonate individual preferences. This approach not only increases customer loyalty but also drives revenue growth and strengthens brand positioning. This customer-centric approach not only fosters greater customer loyalty but also contributes to increased revenue streams and strengthens brand positioning in a competitive market. This research aims to provide actionable insights for banking institutions to design and implement effective AI-powered promotional strategies while addressing ethical and operational considerations. It also examines the challenges faced by the banking sector in integrating AI, emphasizing the importance of transparency, accountability, and fairness in AI systems. The study explores how AI can enhance customer engagement, optimize marketing campaigns, and drive personalized financial services. Additionally, it highlights the need for robust regulatory frameworks and ethical guidelines to ensure that AI-driven initiatives align with customer expectations and societal values. By addressing these elements, the research seeks to bridge the gap between technological advancements.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence, Customer Engagement, Banking, Marketing, Promotions, Campaigns, Customer satisfaction
