Demand Forecasting
Overview
Demand forecasting is the process of predicting future customer demand for a product or service based on historical data and other information.
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Demand forecasting involves the use of historical data, statistical tools, and analytical methods to predict future customer demand for products or services. The objective is to make informed business decisions regarding inventory levels, production planning, and supply chain management. Accurate demand forecasting helps businesses minimize costs, optimize resources, and meet customer expectations.
There are various methods used in demand forecasting, including qualitative approaches like expert judgment and market research, and quantitative approaches such as time series analysis and causal models. Advanced techniques may also incorporate machine learning and artificial intelligence to improve prediction accuracy. Effective demand forecasting requires not only accurate data but also an understanding of market trends, seasonality, and external factors influencing demand.