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@article{195560,
        author = {Urvashi Waghmare and Samiksha Sorte and Adyashri Shinde and Dhanashree Nikhate and Yamini Pohane and Dr.Dhananjay Dumbere},
        title = {IOT ENABLED SUPPLY CHAIN MANAGEMENT SYSTEM USING AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1304-1309},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195560},
        abstract = {Traditional supply chain operations have changed as a result of the quick development of digital technologies. Smart devices, sensors, and communication technologies are integrated by an Internet of Things (IoT) enabled supply chain management system to increase supply chain process visibility, efficiency, and automation. IoT devices gather data in real time from a variety of phases, including delivery, warehousing, transportation, and production. In order to track product placement, inventory levels, environmental conditions, and operational performance, this data is sent over networks and evaluated utilizing cloud platforms. IoT integration in supply chain management lets businesses make better decisions, limit human error, optimize inventory management, and cut down on delays.
Improved supply chain traceability and transparency are guaranteed by real-time tracking of commodities.
Predictive maintenance, demand forecasting, and automated notifications in the event of disruptions or unusual circumstances are further made possible by IoT devices. The architecture, operation, advantages, and difficulties of an IoT-enabled supply chain management system are highlighted in this study. By facilitating smarter and more responsive supply chain operations, the proposed system seeks to increase operational efficiency, save costs, and improve customer satisfaction.},
        keywords = {Internet of Things (IoT), Supply Chain Management, Smart Sensors, Real-Time Data Inventory Management, Automation, Cloud Computing, Predictive Maintenance, Demand Forecasting, Supply Chain Visibility, Traceability and Transparency, Logistics Optimization, Digital Transformation, Operational Efficiency, Data Analytics.},
        month = {April},
        }