PF
08/28/2024, 6:53 PMCeligo AI
08/28/2024, 6:54 PMAI generated answer (using internal Slack threads):Based on the conversations, it seems that identifying revenue reclassification entries from a transaction saved search in NetSuite can be a complex task. However, it might be possible by creating a custom search or using specific criteria in your saved search. One of the users suggested using a saved search on the Revenue Arrangement (RA) and using the 'Revenue element…source' to get the transaction source and 'applying transaction' to get the Rec Rec JE. The criteria for this search would be 'type = revenue arrangement'. Another user mentioned that there are three types of reclass journals: carve-in/carve-out, FX variance, and unbilled receivables. Understanding these types might help in identifying the specific transactions under the "Number of Transactions" field prior to running the reclassification JE. However, it's important to note that this might not give you the invoice. If you want to match off the invoice and the Rev Rec journal to see any that have not been released properly or where the invoice has been generated but not the Rev Rec journal and vice versa, you might need to use a join. One user suggested using 'Revenue element …source' like in their screenshot (not provided here) and removing 'applied to transaction'. Please note that this is based on the conversations provided and might not be the complete solution. You might need to adjust the search criteria or join based on your specific requirements. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Celigo AI
08/28/2024, 6:54 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.828434706
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.822277486
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.819089234
Celigo AI
08/28/2024, 6:54 PM