International Journal of Innovative Research in Computer and Communication Engineering

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TITLE AI-Powered Autonomous Smart Mall Ecosystem: A Unified Architecture for Intelligent Retail Environments
ABSTRACT The rapid evolution of artificial intelligence (AI), Internet of Things (IoT), and cloud-edge computing has created a transformative opportunity for retail environments. Traditional shopping malls face persistent challenges including long checkout queues, manual inventory management, inadequate security systems, and poor customer engagement. This paper presents an AI-Powered Autonomous Smart Mall Ecosystem (ASME), a comprehensive and unified architecture that integrates eight intelligent subsystems: (1) AI-based customer tracking via computer vision, (2) an autonomous cashier-less billing system, (3) a personalized product recommendation engine, (4) smart inventory management using IoT sensors, (5) real-time security and anomaly detection, (6) energy optimization using smart environmental sensors, (7) indoor location-based services, and (8) a seamless mobile application interface. We conduct a structured literature review of six closely related research works, identify critical gaps in existing solutions, and propose an integrated system architecture that addresses these gaps. Experimental results demonstrate a billing accuracy of 98.4%, a 22.6% reduction in energy consumption, a 68% reduction in out-of-stock incidents, and an indoor positioning error of 1.1 meters. The proposed system offers a scalable, privacy-aware, and economically viable blueprint for nextgeneration smart retail infrastructure.
AUTHOR PROF. MANJULA P, SHRAVYA H S, SHREYA G N, VIDYASHREE I S, VARSHA SHINTRE Assistant Professor, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India UG Students, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India
VOLUME 184
DOI DOI: 10.15680/IJIRCCE.2026.1405078
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KEYWORDS
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