IMPROVING SHOPPING MALL REVENUEBY REAL TIME CUSTOMISED DIGITAL COUPON ISSUANCE

Abstract

Shopping malls constantly seek innovative strategies to enhance revenue generation and improve customer engagement. One effective approach is the implementation of real-time customized digital coupon issuance systems. This paper explores the design, implementation, and impact of such a system on shopping mall revenue. The proposed system leverages advanced data analytics and machine learning algorithms to analyse shopper behaviours, preferences, and purchasing patterns in real-time. By integrating with existing customer databases and point-of-sale systems, the system can generate personalized digital coupons tailored to individual shoppers' interests and buying habits. Key features of the system include dynamic coupon creation based on real-time data analysis, targeted distribution through mobile applications or digital platforms, and seamless redemption processes at participating stores within.