Abstract

This study explores the practical applications and limitations of Artificial Intelligence (AI) within Dubai Mall, one of the largest and most technologically advanced retail hubs globally. The research delves into how AI technologies are leveraged to enhance customer engagement, streamline operations, and improve decision-making processes. Simultaneously, it highlights the inherent challenges such as data privacy concerns, high implementation costs, and the need for continuous technological upgrades. Artificial Intelligence (AI) plays a significant role in enhancing retail experiences, operational efficiencies, and strategic decision-making in large-scale shopping destinations like Dubai Mall. This study explores the practical applications of AI in Dubai Mall, including customer personalization, predictive analytics, security enhancement, and operational efficiency. Additionally, it investigates the limitations and challenges such as data privacy concerns, infrastructure costs, integration complexities, and customer acceptance. Using a mixed-methods approach, this study combines quantitative data from mall operations with qualitative insights from interviews with key stakeholders, providing a comprehensive analysis of AI's role in Dubai Mall's retail ecosystem. Through a mixed-methods approach involving quantitative insights from key stakeholders and quantitative data analysis, the research aims to provide a comprehensive understanding of AI's effectiveness and constraints in a retail mega-hub like Dubai Mall. The study contributes to the ongoing discourse on AI-driven retail transformations and offers recommendations for optimizing AI implementation while addressing its limitations.

DOI: doi.org/10.63721/25JPAIR01102

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