Hello, i have a question about a revenue arrangeme...
# ask-stanley-ai
m
Hello, i have a question about a revenue arrangement that i have created for the period september-november. is there a way to change it so that the income is taken 100% in september instead of between the 3 months? can i just delete the revenue recognition plan that has been created from the revenue element? Basically I have set up a periodization for sep-nov and ran the schedule so that a revenue recognition journal entry has been created to impact september. But now i want to take the entire income in september instead of sep-nov
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AI generated answer (using internal Slack threads):
Based on the conversations, it seems that you can adjust the revenue recognition plan to recognize the entire income in September. However, this would require you to delete the existing revenue arrangement and update the revenue recognition rule on the item record. Here are the steps you can follow: 1. Delete the existing revenue arrangement associated with the item. 2. Update the revenue recognition rule on the item record to recognize the entire income in September. 3. Regenerate the revenue arrangement/elements. Please note that this is only possible if the Revenue Plan has not yet posted any revenue recognition Journal Entries (JEs). If JEs have already been posted, you might need to post reclass entries. Also, if the item was initially set up with the wrong GL account number, you would need to update the item with the correct account number before regenerating the revenue arrangement. ****** 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: 0.837158263
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.835449278
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.834716797
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