Authors: Sishank Singh Rawat, Satyam Dhar, Assistant Professor Dr. Prakash
Abstract: With rising expectations for instant, contactless, and personalized retail experiences, companies like Mars Inc., a global leader in the confectionery industry, are looking to modernize their vending operations. Traditional vending systems are constrained by static inventory models, manual restocking, and a lack of real-time adaptability—leading to stockouts, waste, and poor customer satisfaction. This paper introduces the Intelligent Vending Machine Optimization System, a smart retail solution designed to transform Mars Inc.'s global vending infrastructure. The system integrates IoT sensors, Azure-based Medallion architecture, machine learning, and edge computing to deliver predictive restocking, autonomous maintenance, and real-time customer insights. Voice and gesture-based interfaces improve accessibility, while Power BI dashboards offer centralized monitoring. This approach ensures scalable, energy-efficient, and intelligent vending operations, enabling Mars Inc. to lead the future of automated retail with data-driven precision.
