Evaluating the Effectiveness of Inventory Management Systems in Local Government

This study analyzes the effectiveness of the inventory management and control system at Nchelenge Town Council, targeting critical issues such as data inaccuracies, stockouts, and challenges in demand forecasting. The research employs qualitative methods, including semi-structured interviews and focus group discussions with 24 council staff members, to evaluate the system using key performance indicators (KPIs) such as accuracy rates, order fulfillment times, cost-effectiveness, and stockout rates. Findings indicate that, despite the use of advanced tools like inventory tracking software, barcode scanners, and RFID technology, data inaccuracies persist, with 80% of participants highlighting this as a major obstacle. Furthermore, 70% reported difficulties in demand forecasting, leading to operational inefficiencies. However, strategies such as Just-In-Time Ordering and Cycle Counting have shown effectiveness in reducing excess stock and improving inventory accuracy. The study recommends implementing stringent data validation protocols, adopting advanced forecasting models, and enhancing system integration. Continuous staff training and exploring IoT and RFID technologies for real-time tracking are also proposed to improve accuracy and efficiency. These measures aim to enhance service delivery and operational effectiveness, providing valuable insights for other local government councils facing similar challenges. By adopting the proposed strategies, councils can significantly improve their inventory management systems, reduce costs, and better meet community needs.