Marc
03/07/2026, 7:00 PMCeligo AI
03/07/2026, 7:00 PMAI generated answer (using internal Slack threads):Based on the conversations, here's a possible approach to handle the correction of revenue recognition in NetSuite (ARM) for a large number of transactions: 1. Update or Reforecast the Existing Revenue Plans: Unfortunately, there's no direct way to update or reforecast the existing Revenue Plans to trigger a catch-up recognition. The Revenue Plans are generated automatically based on the Revenue Recognition Rules associated with the items on the Sales Orders. Once generated, they can't be modified directly. However, you can create a Journal Entry to adjust the recognized revenue. 2. Handle at the Revenue Arrangement / Revenue Plan Level: Yes, this should be handled directly at the Revenue Arrangement / Revenue Plan level, instead of modifying the Sales Orders. The Revenue Arrangements and Revenue Plans are created based on the items and their associated Revenue Recognition Rules on the Sales Orders. Modifying the Sales Orders won't affect the existing Revenue Arrangements and Revenue Plans. 3. Mass Update Approach: There's no built-in mass update approach to accelerate the remaining revenue recognition for many Revenue Plans at once. However, you can create a script to automate the process of creating Journal Entries to adjust the recognized revenue for each Revenue Plan. Please note that this should be done with caution and it's recommended to involve your accountants in this process. ****** 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
03/07/2026, 7:00 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.868774474
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.860412598
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.860046446
Celigo AI
03/07/2026, 7:00 PM