Intelligent application utilizing facial recognition to determine marketing strategies for shopping mall customers

In the era of digital transformation and data-driven decision making, mall operators seek innovative ways to attract and retain customers. The retail industry faces significant challenges in understanding and targeting customers effectively. This paper proposes a new approach to address this challenge by proposing an intelligent application that utilizes facial recognition technology to determine marketing strategies for shopping mall customers. This paper comprehensively studies the application of facial recognition technology in the marketing strategy of shopping centers to identify customers. This innovative solution leverages the power of artificial intelligence to analyze customer demographics, emotions, and behaviors, enabling shopping centers to customize their marketing efforts, increase customer satisfaction, and drive revenue growth. The importance of using FDD research method to develop and study face recognition system for shopping malls. At the same time, it will be concluded that by analyzing customer data and customizing marketing efforts, shopping malls can provide personalized experiences to attract and retain customers in an increasingly competitive market.