Contributors: Ruvisha Pillay, Bill Tonetti, Tracy Roche

Pivot Forecasting allows for collaborative forecasting. Information from across the business can be integrated into a single forecast. In this article, we will introduce the key features within Pivot Forecasting.

With Pivot Forecasting, you are able to forecast by product, customer or location, or any other grouping dimension that is available. You can forecast at any group level and in base units, price, cost or margin. This is because Pivot Forecasting uses flexible hierarchies.

Key features include:

- Monthly or weekly forecast buckets

- Capturing seasonal indexes

- New product forecasting

- Correction for outliers

- Judgmental or machine learning-based promotions and events.

- Downloading of data to spreadsheet

Data is sourced directly from the Netstock app. Pivot Forecasting simplifies assembling planning data to dashboards. Dashboards, filters and drill-down features provide a simple interface to generate forecasts. Forecast performance tracking enables you to manage by exception to save you time.

Collaborators begin with statistical forecasting, then apply their judgment and store them as scenarios. Forecasts are automatically aggregated by item and warehouse and imported into Inventory Advisor every night or as needed. Forecasting adjustments can be top-down, bottom-up, or middle-out. More on this in the article "Introduction to Aggregation and Proration".

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