Customer behavior and occupancy patterns in shopping malls: insights for decision-making and future prospects

Abstract

Shopping malls have transformed into vibrant hubs that cater to a wide range of social and business activities. Analyzing customer behavior and movement patterns within these malls enables us to make data-driven decisions that optimize operations and enhance the overall shopping experience. The methodology involves data collection through customer footfall analysis and customer retention. Statistical visualizations enable the identification of trends and patterns in customer behavior based on factors such as time of the day, day of the week, and popular attractions. Furthermore, the insights gained from this research hold significant managerial implications, including resource allocation, tenant placements, marketing strategies, operational efficiency improvements, and enhanced customer experiences.