Hierarchical forecasting is a predictive sales and demand planning method that breaks down data into multiple levels, such as region, department, product category, or customer segment. Businesses use hierarchical forecasting to refine sales projections by analyzing trends across different organizational layers. This approach improves resource allocation, inventory management, and revenue planning by ensuring accurate demand predictions at each level. CRM systems with hierarchical forecasting tools allow businesses to aggregate data from various sources, apply machine learning models, and generate forecasts that align with strategic goals. For instance, a company can forecast national sales while also examining sales patterns in individual regions. AI-driven forecasting in CRM enhances accuracy by identifying seasonal trends, anomalies, and external factors such as economic conditions.