Modern demand forecasting programs, such as Oracle Cloud Supply Chain Planning, typically use machine-learning algorithms to predict future demand based on historical demand and specified patterns like seasonality, holiday and price changes. In addition, the analytical engine takes into account long-term trends and levels such as an increase or decrease in demand over time. The recent demand shock from the COVID-19 pandemic does not fit the predefined patterns but the machine learning algorithms in Oracle Cloud Demand Management can be guided to capture these new impacts with additional tuning and causal factors.