why can't i see member depth in saved search for a...
# ask-stanley-ai
t
why can't i see member depth in saved search for assembly items
c
AI generated answer (using internal Slack threads):
The 'Member Depth' field is not available in the saved search for assembly items because it is not a standard field in NetSuite for assembly items. The 'Member Depth' field is typically used in hierarchical data structures, such as categories or departments, where items can have multiple levels of parent-child relationships. In the context of assembly items, the 'Member Depth' field would represent the level of an item in the assembly hierarchy. However, in NetSuite, assembly items and their components are not represented in a hierarchical structure, but rather in a flat structure. Each assembly item has a list of member items, but these member items do not have a 'depth' because they are not nested within each other. If you need to display the description of the member items in your saved search, you can do so by selecting the 'Member Item Fields...' option and then selecting 'Description' or 'Purchase Description' from the list of fields. This will display the description of the member items in your saved search results. If you want to filter assembly items that are also used as components of other assembly items, you can do so by searching for member items where the type is 'Assembly'. If you want to display all items on sales orders where Kit/Packages are split into their Member Items, but Assemblies aren’t affected, you can use a formula in your search results like this:
CASE WHEN {itemtype} = 'Kit' THEN {item.memberitem} ELSE {item} END
. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.835733473
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.832686484
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.823496342
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