IoT integrated advanced inventory management system / Muhammad Hafizudin Azmi

This study proposed an IoT-based smart inventory system designed to streamline inventory management processes and enhance efficiency. The motivation behind this project stems from the limitations of manual inventory management systems, including errors, lack of real-time information, and security vulnerabilities. The problem statement revolves around the need for an automated and secure inventory management solution. The objectives of the project are to automate inventory processes, provide real- time monitoring, prevent overloading, enable remote access, and enhance inventory security. The system includes RFID technology, motion and weight sensors, WiFi, a motor, an LCD display, and alert systems. These components are integrated into a cohesive system. RFID tracks items, motion sensors detect insects, weight sensors prevent overloading, WiFi enables remote monitoring, the motor controls the inventory door, and the LCD display shows stock levels. The alert systems notify users of insects and overloading. The results demonstrate successful implementation, enabling automated inventory management, real time monitoring, and remote data access. The system effectively detects insect presence and prevents overloading, ensuring inventory stability and safety. The study's novelty lies in the integration of multiple IoT components into a comprehensive inventory management system where it revolutionizes traditional inventory management with its IoT-based smart inventory system. It boosts efficiency, minimizes errors, and empowers businesses with real-time monitoring and automated features. Ultimately, it improves productivity and profitability, offering a novel solution to inventory management challenges.