What kinds of records does a Revenue Element searc...
# ask-stanley-ai
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What kinds of records does a Revenue Element search find?
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AI generated answer (using internal Slack threads):
A Revenue Element search in NetSuite finds records related to revenue recognition. These records are typically associated with transactions that generate revenue, such as sales orders, invoices, and revenue arrangements. The Revenue Element record provides detailed information about each element of a revenue arrangement. This includes the source transaction (e.g., sales order, return authorization), the associated revenue arrangement, the amount of revenue recognized, and the recognition period. In the context of a saved search, you can use the Revenue Element record to find transactions with unplanned revenue, as suggested in the first conversation. You can also use it to access the source transaction's record type, as discussed in the second conversation. However, it's important to note that the 'recordtype' field may return 'revenueelement' when accessed within a script, even though it correctly returns the source transaction type in the UI. One user reported that they were able to get the correct 'recordtype' value using a FORMULA TEXT field. In the third conversation, it's suggested that you can use a formula to show the revenue arrangement internal ID in a transaction saved search with a sales order criterion. This involves using a CASE WHEN statement in the criteria and results fields to check if the 'revenueelement.source' field is like 'Sales Order%'. ****** 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: 0.832885742
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.829467654
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.826782227
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