Smart Vending Machines: Improving Service Quality with Integrated Controllers and SVM Algorithm

Abstract

The retail industry is transforming with the emergence of the Internet of Things (IoT) and embedded controllers with Support Vector Machines (SVM) algorithm. This research explores the advancements in vending machines, which combine technology and embedded controllers with traditional vending machines. These intelligent devices can collect data, analyze it, and make real-time decisions thanks to their sensors, touch screens, and sophisticated embedded controllers. Through this innovation, smart vending machines can offer consumers a shopping experience based on their purchases and interactions with the machine. With data analysis capabilities, these integrated controllers enable the machines to provide discounts, special offers, and even recommendations on what to buy. In addition, intelligent vending machines help streamline inventory management, preventing shortages of popular goods. Because of this, embedded controllers are transforming vending machine operations' future while radically altering the retail industry. By collecting and analyzing data in real-time, smart vending machines allow for data-driven decision-making, which improves inventory management and reduces waste. Since all payment methods are linked flawlessly, purchasers can be sure that their transactions will go through without a problem.