This paper presents an IoT-based Smart Inventory Management and Automated Restocking System designed to monitor stock levels in real time and reduce manual intervention. The system utilizes sensors and a microcontroller (ESP32) to track inventory levels and transmit data to a cloud-based platform. Machine learning algorithms are integrated to predict demand and trigger automatic restocking alerts. A user-friendly dashboard is developed using Streamlit for visualization and monitoring. The system improves efficiency, reduces stock shortages, and enhances decision-making in inventory management.
soniya Soniya Avatade (Mon,) studied this question.