This page enables you to manage seasonal profiles for your product and customer arrangements.
Create and Delete Seasonal Profiles
You can use spare rows to create a new seasonal profile. In case the spare rows are unavailable, create new using the process on 904 – Lists – Create Empty Placeholders.
To create a new or update a Seasonal Profile:
Field Name | Value |
DisplayName | Enter a new name for the seasonal profile. |
Manual Override Rate | Select to set the seasonal profile for manual override rate. |
Decimal Places | Enter a numeric value. |
GL Decimal Places | Displays the parameter value set at the global level. |
Select Period for 53rd Week | Select period for the 53rd week. |
GL Select Period for 53rd Week | Displays the parameter value set at the global level. |
To delete a seasonal profile, select Delete? against the seasonal profiles to delete. The selected profile cell is highlighted in red, and is deleted in the next system refresh.
To import the latest seasonal profiles from the statistical forecasting module, select Import Seasonal Profiles from Stat. The import starts with a progress bar and the number of import steps. You can expand the Process Steps to display details about each step.
Define Seasonal Profile Basis
The context selector displays the seasonal profile selected in the above seasonal profile table. You can select other options from the dropdown.
In Edit Parameters card, select a period for 53rd week.
The Select Profile Basis table allows you to specify a:
- Region for customers
- Product group for products
The Seasonal Profile Curve chart displays how a product has performed throughout a cycle. This is particularly useful when comparing products to create or review seasonal profiles.
The Seasonal Profile Input table shows the chart's data. This allows you to view how the chart performs each week for the selected customer and product's seasonal profile. Additionally, it allows you to edit weekly value for Seasonal Indices Override. You can change the seasonal indices row in the table for the weekly indices across a 52-week period.
Additional information
The number of seasonal periods must match the calendar. If the model is using a calendar type of Months/Quarters/Years, the number of periods created is 12. If the model is using a calendar type of Weeks, the number of periods created is 52/53.
This is a task must be repeated once a year.