Hierarchical Forecasting
A predictive modeling approach for time series data organized in a structure, ensuring predictions at lower levels sum up to match higher-level totals.
Think of It Like This
Like ensuring the predicted sales of every individual store perfectly add up to the predicted national sales.
This method handles structural dependencies in data, such as forecasting product sales across regions, states, and individual stores. Algorithms can use top-down, bottom-up, or middle-out approaches to reconcile these forecasts. This ensures consistency across business reporting layers while maintaining granular accuracy.