This Forecasting in Supply Chain Management course introduces the essential techniques used to predict future demand and support better decision-making in business operations. It is designed for beginners and students studying supply chain, operations, or business analytics.
The course begins with an introduction to forecasting, explaining its importance in supply chain management. Forecasting helps companies estimate future demand so they can plan production, inventory, and resources more effectively.
Next, it covers time series forecasting, which uses historical data patterns to predict future values. You will learn how trends and patterns in past data help improve planning accuracy.
A key topic is forecasting accuracy and regression-based analysis, which helps measure how reliable predictions are and improves decision-making quality.
The course also explains exponential smoothing methods, which are used to give more weight to recent data for better short-term forecasting results.
Another important concept is seasonal indexes, which help adjust forecasts based on seasonal variations in demand, such as holidays or peak business periods.
By the end of this course, you will understand key forecasting techniques and how they are applied to improve supply chain planning and redu
