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@article{195313,
        author = {Dr. G. J. Sawale and Shravani M. Wankhade and Atharv M. Raut and Sonal P. Patil and Isha M. Raut},
        title = {Smart Godown: Warehouse Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1-9},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195313},
        abstract = {Numerous small and medium-sized vendors continue to depend on traditional methods like notebooks, paper registers, or spreadsheets for recording and managing their inventory data. This practice often results in various problems, such as human errors, lost records, challenges in tracking items, and increased time spent searching for specific product details. Moreover, storing records physically takes up space and becomes inefficient for data management as the business expands. To tackle these issues, this project suggests an online inventory management system that digitizes the entire process of data storage and tracking. In this system, all product-related details such as item name, quantity, price, supplier information, and stock status-will be kept in a centralized online database. This setup enables vendors to easily access, update, and manage their inventory data from a digital platform. A notable feature of the system is the automatic creation of a unique QR code for each item added to the inventory. Each QR code will be directly linked to the item’s stored information in the database. By scanning the QR code with a mobile device or QR scanner, the system will quickly retrieve and display the item details. This removes the need to manually search through records and greatly reduces the time needed to find product information. The proposed system also enhances space optimization since all records are stored digitally rather than physically. It minimizes the likelihood of errors from manual entry and boosts overall accuracy in stock management. Additionally, faster search capabilities and QR-based item identification assist vendors in managing large quantities of products more effectively.},
        keywords = {Object Detection, YOLO-CBAM, global commerce, Deep Learning, Computer Vision, Data Pipelines, RealTime Detection},
        month = {March},
        }