CASE WHEN {nextbilldate} BETWEEN TRUNC(SYSDATE, 'M...
# ask-stanley-ai
a
CASE WHEN {nextbilldate} BETWEEN TRUNC(SYSDATE, 'MM') AND LAST_DAY(SYSDATE) AND {applyingtransaction.type} = 'Invoice' AND {applyingtransaction.datecreated} BETWEEN TRUNC(SYSDATE, 'MM') AND LAST_DAY(SYSDATE)THEN 'Invoice Sales Order'ELSE 'No Invoice needed'END
c
AI generated answer (using internal Slack threads):
Based on the conversations, it seems like you are trying to create a CASE statement in a saved search in NetSuite. The CASE statement is a conditional expression that allows you to add logic to your saved search. Here is a general structure of a CASE statement:
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CASE WHEN condition THEN result [WHEN condition THEN result ...] [ELSE result] END
In your case, you can use the following formula:
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CASE WHEN {nextbilldate} BETWEEN TRUNC(SYSDATE, 'MM') AND LAST_DAY(SYSDATE) AND {applyingtransaction.type} = 'Invoice' AND {applyingtransaction.datecreated} BETWEEN TRUNC(SYSDATE, 'MM') AND LAST_DAY(SYSDATE) THEN 'Invoice Sales Order' ELSE 'No Invoice needed' END
This formula checks if the next bill date is between the first day of the current month and the last day of the current month, and if the applying transaction type is 'Invoice', and if the date the applying transaction was created is between the first day of the current month and the last day of the current month. If all these conditions are met, it returns 'Invoice Sales Order'. If not, it returns 'No Invoice needed'. Remember to replace the field names with the actual field names in your NetSuite account. ****** 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: 0.832306683
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.830820143
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.8307271
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