According to the Salesforce Manufacturing Cloud documentation, to create a new custom metric on the Account product period forecast component, you need to create a custom field on the Account Product Period Forecast object and another custom field on the Account Product Forecast object. Then, you need to map both of these fields in the Account Forecast setting page. This will allow you to add the custom metric to the Forecast tab of an account and track it along with the standard metrics1. References: 1: Create Custom Fields for Account Product Forecast and Account Product Period Forecast Objects

When embedding the Manufacturing Agreement Performance and Manufacturing Product Performance dashboards in a lightning page, it is recommended to set the dashboard's height to 120 pixels to ensure optimal display. Additionally, these dashboards can be embedded on any manufacturing cloud page layout without the need for setting up filters, offering flexibility in dashboard placement and enhancing user accessibility to critical performance data across various manufacturing cloud components .

Program Rebate Type Benefit is a Rebate Management object that supports custom fields for rebate program(s) analysis. It is used to define the benefit tiers for a rebate type, such as the percentage or amount of rebate that is paid out based on the achievement of a certain threshold. Program Rebate Type Benefit can have custom fields that specify the criteria by which the benefits vary, such as product category, region, or industry segment. These custom fields can be used in the Analytics for manufacturing app in Tableau CRM for Manufacturing to create dashboards and reports that show the performance and impact of rebate programs. References: Rebate Management Standard Objects - Salesforce Developers, Deploy and Use Rebate Analytics - Salesforce, Salesforce Manufacturing Cloud Flashcards

The Forecast Analysis dashboard in Tableau CRM for Manufacturing is a tool that helps business analysts evaluate the accuracy and quality of the account forecasts generated by the Manufacturing Cloud. It allows them to compare the actual revenue with the forecasted revenue, as well as the planned revenue, for each account, product, and product category. It also shows the mean absolute percentage error (MAPE) in the forecast, which is a measure of how close the forecast is to the actual revenue. The lower the MAPE, the better the forecast. The dashboard also provides other metrics, such as forecast bias, forecast coverage, and forecast attainment, to help analysts identify areas of improvement and optimize the forecasting process1. References: Protect and Grow Your Business Unit, Forecast Analysis Dashboard, How Forecasting Works in Tableau