---
title: Expert Selection
description: "![](https://dev.forecastpro.com/wp-content/uploads/2024/05/expert-icon-1024x98.png) By default, Forecast Pro will use expert selection, an Artificial Intelligence (AI) engine, to automatically select the appropriate forecasting method. In this case, the item will not have a forecasting modifier. If an item on the Navigator does have…"
url: "https://dev.forecastpro.com/documentation/forecast-pro-trac/customizing-your-forecasts/expert-selection/"
updated: "2024-12-17"
category: Reference / Customizing Your Forecasts
---

# Expert Selection

![](https://dev.forecastpro.com/wp-content/uploads/2024/05/expert-icon-1024x98.png)

By default, Forecast Pro will use expert selection, an Artificial Intelligence (AI) engine, to automatically select the appropriate forecasting method. In this case, the item will not have a forecasting modifier. If an item on the Navigator does have a modifier that specifies a statistical model to be used instead of Expert Selection, when you click the **Expert Selection** icon on the **Forecasting** tab or select *Forecasting>Expert Selection *on the Navigator’s context menu*, *the forecasting modifier(s) will be removed, and Forecast Pro will use expert selection to automatically select the appropriate forecasting method.

On [The Performance Tab](https://dev.forecastpro.com/documentation/forecast-pro-trac/forecast-pro-options/the-performance-tab/) of the Options dialog, you can specify methodologies that expert selection should not consider. These methodologies include: ARIMA, (Box-Jenkins), seasonal simplification, the NA-CL model and machine learning. Machine learning takes considerable computing resources and disabling it in expert selection can significantly speed up forecasting times.