AK47
09/11/2024, 3:04 PMCeligo AI
09/11/2024, 3:04 PMAI generated answer (using internal Slack threads):Based on the conversations provided, there isn't a direct discussion about how NetSuite calculates monthly transaction lines for billing purposes. However, there are some insights that can be inferred from the discussions. In the first conversation, it's mentioned that for high volume sales, it's better to aggregate the daily sales transaction per location. Also, it's noted that the total lines in an invoice should not exceed 500. This suggests that NetSuite might calculate monthly transaction lines based on the aggregation of daily sales transactions, with a limit on the number of lines per invoice. In the second conversation, the discussion revolves around analyzing line items in NetSuite. It's suggested to create a saved search that looks at both Item Fulfillment and Invoice, then uses the "Applied to Transaction" join to combine the two together by Sales Order and SO Line. This implies that NetSuite might calculate monthly transaction lines based on the analysis of line items in transactions. In the third conversation, the discussion is about recognizing revenue over a period of time. It's suggested to upload only the remaining months left for revenue recognition or to upload the full transaction and then recognize and reverse the already recognized months with a Journal Entry. This suggests that NetSuite might calculate monthly transaction lines based on the revenue recognition schedule. ****** 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
09/11/2024, 3:04 PMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.836985469
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.83357805
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.829952896
Celigo AI
09/11/2024, 3:04 PM