Munir Chaer
12/11/2024, 4:31 PMCeligo AI
12/11/2024, 4:31 PMAI generated answer (using internal Slack threads):To build a transaction saved search that allows you to see which lines contribute towards the automatically generated elimination entry at month end, you can follow these steps: 1. Start by creating a new Transaction Saved Search. 2. In the Criteria section, select 'Main Line' and set it to 'F'. This will allow you to see line level detail. 3. Add 'Posting' to the criteria and set it to 'T'. This will ensure you only see posted transactions. 4. Add 'Account' to the criteria and select the intercompany AR/AP accounts that you are interested in. 5. In the Results section, add the fields that you want to see. This could include 'Document Number', 'Account', 'Debit Amount', 'Credit Amount', 'Posting Period', 'Line ID', etc. 6. In the Available Filters section, add 'Transaction Date'. This will allow you to filter the results by a specific month. This will give you a list of all the line level detail for the selected intercompany AR/AP accounts for a specific month. You can then analyze this data to see which lines are contributing towards the elimination entry. Please note that this is a general approach and you may need to adjust the criteria and results to suit your specific needs. Also, remember that the elimination entry is automatically generated by NetSuite at the end of the month, so you will only be able to see this data after the month has ended. ****** 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
12/11/2024, 4:31 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.829076171
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.829035223
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.82805258
Celigo AI
12/11/2024, 4:31 PM