Difference between like profile and relignment

[former_member224276]

Hello Friends,

Difference between like profile and relignment ?

useing like profile we can generate stat forecast for new product ,where as in relignment we can generate new cvcs if iam wrong pl correct me and iam looking for more details

[Former Member · Accepted solution]

Hi Sivaram,

You are correct, like profile is used forecasting for new products. You can also combine it with phase in and phase out profiles to arrive at a more accurate forecast for a new product.

Realignment is used in scenarios where one of the characteristics change. For example Product to customer mapping. For Example,

Product 1 is bought by Customer ABC.

Then assume Customer ABC spins off its division to XYZ and now they sell the product 1 to customer XYZ. In such a scenario realignment is very useful.

Hope this is helpful.

Thanks

Mani

[former_member224276]

hello friends,

10q very mutch its help full to me

[former_member224276]

Hello friends

10q very mutch .its help full to me

[Former Member]

Dear Siva,

A like profile allows you to create the demand forecast of a product using the historical input data of a product or products whose demand behavior is the same or similar. Create like profiles for products with short lifecycles or for products with insufficient historical data. You can use the same like profile for multiple products.

And for realignment check the below link:

Regards,

Siva.

[Former Member]

Sivaram,

The Key differences between Like profile and Realignment are:

1. For Like profile to work, you need to have CVCs for the new product in place before you can execute it.

In realignment, you can create the new CVCs and then copy the data from Old CVC to the new CVC during a realignment run.

2. Like profile does not actually copy the demand history of one product to another and store it in livecache, it merely used the history by referring to the history KF and then generating forecast in the forecast number which does gets written to live cache.

Whereas using realignment, you can do copy history from old CVC to the new CVC or for that matter any KF data can be copied from old CVC to new CVC that throughout the history and forecast horizons.

3. Like profile works hand in hand with Statistical forecasting functionality of APO.

Whereas Realignment is independent of Forecasting.

Hari