Inventory Management System
This research addresses the Inventory Management Systems (IMS) play a crucial role in maintaining optimal stock levels, reducing operational costs, and enhancing customer satisfaction in both retail and industrial environments. This paper presents the design, development, and evaluation of a custom-built Inventory Management System aimed at improving stock tracking and reducing manual errors. The system leverages database technology and a user-friendly interface to facilitate real-time monitoring and reporting. The research demonstrates significant improvements in inventory accuracy and operational efficiency following the implementation of the system. The In today’s fast-paced and competitive business environment, effective inventory management is essential for ensuring operational efficiency, reducing costs, and meeting customer demand. Inventory Management Systems (IMS) have evolved significantly from traditional manual tracking methods to sophisticated, technology-driven platforms that offer real-time visibility, automation, and data analytics capabilities. This paper explores the fundamental concepts, components, and strategies involved in modern inventory management. It discusses various inventory control methods, such as Just-In-Time (JIT), Economic Order Quantity (EOQ), and ABC analysis, highlighting how these techniques help in maintaining optimal stock levels and preventing excess or shortage. The study also examines the integration of advanced technologies like cloud computing, Internet of Things (IoT), artificial intelligence (AI), and blockchain in inventory systems, which have transformed how businesses manage supply chains, forecast demand, and respond to market fluctuations. Furthermore, the paper analyzes the benefits of implementing an IMS—including improved accuracy, cost savings, and enhanced customer satisfaction—while also addressing common challenges such as system integration, data reliability, and cost of implementation. Through case studies and current trends, the research provides insights into how organizations can adopt innovative inventory solutions to stay agile, scalable, and competitive in an increasingly digital economy. This comprehensive exploration serves as a valuable resource for businesses, researchers, and students aiming to understand and improve inventory management practices in various industries.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-18
- DOI
- https://doi.org/10.5281/zenodo.17971715
- Primary Topic
- Forecasting Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00