International Research Journal of Education and Technology

This study analyses the methods in which an Industry Inventory & Supply Chain Management System can improve the efficiency of supply chain monitoring, inventory control, and resource allocation in industrial settings. Administrators may make well-informed decisions thanks to the system's real-time insights into important parameters including demand forecasting, order fulfillment rates, supplier performance, and stock levels. The solution helps companies reduce waste, increase supply chain efficiency, and optimize operations by providing real-time data visualization and analysis.

In practical applications, the system has demonstrated its ability to automate inventory tracking, reducing manual record-keeping efforts and minimizing errors. With real-time updates, administrators can quickly adapt to fluctuations in demand and supply, ensuring that inventory remains optimized while avoiding shortages or overstocking. This not only improves operational efficiency but also strengthens collaborations with suppliers by providing transparent inventory and procurement data.

The paper emphasizes that such systems should integrate seamlessly with existing enterprise workflows rather than replace them, ensuring that human expertise remains crucial in supply chain decision-making. If implemented effectively, an Industry Inventory & Supply Chain Management System has the potential to revolutionize industrial resource management by offering scalable, data-driven solutions that meet the evolving demands of modern industries.

Keywords – Real-time inventory tracking, Supply chain optimization, Enterprise decision-making, Demand forecasting, Data-driven logistics.