Background of the Study
Demand forecasting plays a critical role in supply chain management, as it helps companies predict future customer demand, optimize inventory levels, and plan production schedules effectively. Accurate demand forecasting is essential for minimizing the risk of stockouts or overstocking, which can result in lost sales, excess inventory costs, and inefficient use of resources. PZ Cussons Nigeria, a leading manufacturer of personal care and home products, operates in a highly competitive FMCG sector, where understanding market demand is essential for maintaining supply chain efficiency. In Kwara State, where PZ Cussons has operational plants and distribution networks, demand forecasting is a key element in ensuring that the right products reach the right markets at the right time (Adebayo & Tijani, 2023).
The challenges of fluctuating consumer preferences, economic uncertainty, and supply chain disruptions highlight the importance of robust demand forecasting systems. PZ Cussons Nigeria has implemented advanced forecasting techniques using historical data, market analysis, and consumer behavior patterns to improve supply chain performance. In Kwara State, effective demand forecasting could help mitigate issues like stockouts, excess inventory, and inefficient transportation routes, thereby optimizing costs and improving overall operational efficiency (Ibrahim & Mohammed, 2024).
This study aims to evaluate the impact of demand forecasting on the supply chain performance of PZ Cussons Nigeria in Kwara State, exploring how forecasting methods contribute to inventory management, production planning, and cost optimization.
Statement of the Problem
Despite the significant benefits of demand forecasting, many companies, including PZ Cussons Nigeria, still face challenges in achieving accurate forecasts due to unpredictable market trends, data quality issues, and limited forecasting tools. In Kwara State, where PZ Cussons operates key manufacturing and distribution facilities, inefficient demand forecasting practices could lead to poor inventory management and supply chain disruptions. The problem lies in understanding the effectiveness of demand forecasting techniques used by PZ Cussons Nigeria and their impact on supply chain performance in the region.
Objectives of the Study
To assess the impact of demand forecasting on inventory management at PZ Cussons Nigeria in Kwara State.
To evaluate the role of demand forecasting in production planning and cost optimization at PZ Cussons Nigeria.
To identify the challenges faced by PZ Cussons Nigeria in implementing demand forecasting systems and their effect on supply chain performance in Kwara State.
Research Questions
How does demand forecasting impact inventory management at PZ Cussons Nigeria in Kwara State?
What role does demand forecasting play in production planning and cost optimization at PZ Cussons Nigeria?
What challenges does PZ Cussons Nigeria face in implementing demand forecasting, and how do these challenges affect supply chain performance?
Research Hypotheses
Accurate demand forecasting positively impacts inventory management at PZ Cussons Nigeria in Kwara State.
Demand forecasting plays a significant role in optimizing production planning and reducing costs at PZ Cussons Nigeria.
Ineffective demand forecasting systems negatively impact supply chain performance at PZ Cussons Nigeria in Kwara State.
Scope and Limitations of the Study
This study will focus on PZ Cussons Nigeria's demand forecasting techniques and their impact on supply chain performance in Kwara State. Limitations include potential biases in data availability and the difficulty of measuring the full extent of forecasting inaccuracies in complex supply chain operations.
Definitions of Terms
Demand Forecasting: The process of estimating future customer demand for products to optimize supply chain operations (Ibrahim & Mohammed, 2024).
Supply Chain Performance: The effectiveness of supply chain activities in achieving cost savings, timely delivery, and inventory management efficiency (Adebayo & Tijani, 2023).
Inventory Management: The process of overseeing the flow of goods and materials in a supply chain, ensuring optimal stock levels (Ibrahim & Mohammed, 2024).