Register today for Oracle CloudWorld. October 17th - 20th, Las Vegas

Register now

Hillel Cooperman, Senior VP of User Experience Design, has a message for you on Oracle CloudWorld

Watch now
How can we calculate forecast at aggregated level and desaggregate after? — Cloud Customer Connect
You're almost there! Please answer a few more questions for access to the Applications content. Complete registration
Interested in joining? Complete your registration by providing Areas of Interest here. Register

How can we calculate forecast at aggregated level and desaggregate after?

Received Response
54
Views
3
Comments
edited Nov 6, 2019 7:29PM in Supply Chain Planning and Collaboration 3 comments

Content

Due to the fact that there is a high number of items on each category and each item has a shipment history spread through the history time buckets, customer wants to load history at item level, but calculate the forecast at an aggregated level and only after determining the forecast at this aggregated level (category in this case), the forecast should be decomposed at item level.
 
In customer experience, this type of calculation normally brings a higher accuracy and a lower mape as the trends on the forecast are being calculated at an aggregated level that tends to be more regular and easier to determine statistically.

Howdy, Stranger!

Log In

To view full details, sign in.

Register

Don't have an account? Click here to get started!