IoT-Based Garment Inventory Management System

IoT-Based Garment Inventory Management System

연구 분야: Databases

학회: 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON)

Traditional garment inventory management systems are labour-intensive and have no automation, which causes possible human errors. Garment automation provides a promising solution that reduces human errors and enhances efficiency and accuracy. This work proposes an automated garment inventory management system that uses RFID, barcodes, serial ID, and the Internet of Things (IoT) for realtime inventory tracking. Garment automation uses cloud-based databases connecting various small-scale garment industries, making it a centralizing system. The proposed system improves stock management and supply chain processes, exploring predictive analytics services to improve inventory control. The system exhibits an intelligent inventory model using the IoT and embedded systems with a low-cost wireless microcontroller, data management system, and a cloud database. Promisingly, the results give us significant progress in inventory accuracy and efficiency. The deployed method provides a scalable and robust modern garment inventory management framework.