Demonstrates improved inventory management in real-time, suggesting reduced manual efforts.
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.
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soniya Soniya Avatade (2026) studied this question.
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