A new way of viewing and navigating a hierarchy has been introduced to make it easier to review a number of nodes within a level together. A summary of new behavior is described below.

An update has been made to bring the same behavior of editing event plan values by percent to demand planning.  

1. Click the percent, to open the percent dialogue.
2. Enter the percent edit value and the start and end periods and click preview
3. If the results are acceptable, click "Apply"
4. Upon applying, the results will be in edit mode for further editing.
5. If acceptable, click the "save" button to apply the adjustment

We continue to add more information to help customers understand issues with any of their Advanced Planning uploads.

Previously, transfer order data between locations were managed through sales order and purchase order tables. This presented some challenges in specific customer use cases. In response, we have introduced a new transfer order data entity that can manage transfer orders independent of purchase orders and sales orders (though this use case will still be supported).

The structure of the table is described in the data table section Transfer Orders (transferorders.txt).

A new transition linking logic has been introduced that transitions an old SKU to a new SKU only when all the inventory at both source and destination locations are consumed at about the same time. This feature calculates requirements for the SKU across all locations and then based on those requirements and the available inventory, distributes the inventory from the source to the destinations so that all locations can transition at the same time.

This feature is currently limited in its availability. If interested, please contact support to enable the feature in your account. For reference, the feature name is "SoftTransitionLinkCalculateBasedOnSourceStockout."

In the example below, the source has independent demand and dependent demand from its destination locations. It has 400,000 units on hand. The objective is to supports its independent and dependent demand in a manner that ensure that it and its destination locations all run out of inventory at about the same time taking into account transfer times.

In this example, the source transitions to the new items during the week of January 3rd.

In one of the destination locations, the transition does not occur until 2 weeks later - January 17. It transitions later because there is a 2 week transit time from source to destination.