Inventory management is a critical determinant of operational efficiency, cost
control, and competitiveness in production companies. In Nigeria, production
companies face unique challenges including supply chain disruptions, foreign
exchange volatility, infrastructural deficits, and demand uncertainty, which
complicate inventory optimization (Olusegun & Adebayo, 2018). This study
examines the optimization of inventory management in Nigerian production
companies, focusing on ALSCON Limited, Ikot Abasi, Akwa Ibom State, Nigeria,
a major production company in the metallurgical sector. Using a mixed-methods
approach, data were collected from operational records, inventory reports, and
structured interviews with supply chain managers between 2018 and 2023.
Findings reveal that “ALSCON's adoption of Economic Order Quantity (EOQ),
Just-In-Time (JIT) practices, and Enterprise Resource Planning (ERP) modules
reduced holding costs by 18% and stock-out frequency by 27% over three years”
(ALSCON Internal Report, 2022). However, erratic power supply, import delays,
and inaccurate demand forecasting remain significant constraints. The study
concludes that integrating AI-driven demand forecasting, vendor-managed
inventory (VMI), and localized sourcing can further optimize inventory
performance in Nigerian production companies. Policy recommendations include
adopting just-in-time (JIT) inventory systems, investing in digital inventory
systems, public-private collaboration to stabilize supply chain infrastructure and
regularly reviewing of inventory management policies.