Asked about Forecasting many series at once

You need forecasts for 50,000 products, many with little history. How do you approach it?

An answer that works

A global model trained across all products with product, calendar and lag features, so short-history products borrow strength from similar ones. Reconcile across the product and store hierarchy, handle intermittent items specially, and backtest by segment.

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