is there a way to make a saved search that can tel...
# ask-stanley-ai
f
is there a way to make a saved search that can tell if a PO is drop ship
c
AI generated answer (using internal Slack threads):
Based on the conversations, it seems that there are a few ways to identify if a Purchase Order (PO) is a drop ship in NetSuite using a saved search. 1. Created From Field: If the PO is created from a Sales Order (SO), it could be a drop ship. However, this alone is not enough as there could be special order items in addition to drop ship items on the same SO but split POs. 2. Item Level Customer Field: Drop ship orders might have an item level customer field. This field could be unique to drop ship orders. However, this might not be universal and could be specific to certain implementations. 3. Location Field: Some implementations might create a "Drop-ship" location record as a placeholder to associate with the PO. You can report with the location as "Drop-Ship" when you create your reports. 4. Custom Fields: There might be custom fields that have been created, such as a checkbox field labeled "Drop-ship". You could report on transactions which items on it have that box checked. 5. IsDropShip Field: There is an
isdropship
item level field. You can try doing a formula text in the results with
{item.isdropshipitem}
to see if anything shows up. 6. Link Type: The search filter applied to link type is drop ship. Remember, the exact method might vary based on the specific implementation of NetSuite. ****** 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: 0.849558771
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.849280715
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.84431994
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