A REAL-TIME EVALUATION OF INVENTORY FOR WAREHOUSES

Abstract

An inventory management system is a technology solution used to oversee and control the ordering, storage, and use of goods within a business. It tracks inventory levels, orders, sales, and deliveries. An effective inventory management system is crucial for maintaining accurate stock levels, preventing overstocking or stockouts, and ensuring timely restocking. Current inventory management systems often suffer from issues such as limited visibility and responsiveness, usability and security concerns, and inaccuracies in inventory counts. These limitations can lead to inefficient warehouse operations, increased labor costs, and delays in restocking and order fulfilment. The proposed system leverages advanced technologies like computer vision, real-time video processing, and cloud storage to address these limitations. By integrating object detection algorithms and a mobile app interface, the system ensures accurate, real-time inventory tracking and seamless user interaction. This approach enhances visibility, responsiveness, and security, thereby improving overall warehouse management efficiency. The implementation of this real-time inventory management system is expected to significantly improve inventory accuracy, reduce operational inefficiencies, and enhance user satisfaction. By embracing innovative technologies, the system transforms traditional warehouse management practices, preparing the way for more efficient and optimized operations in the digital age.