its it possible to convert a cash refund to a cred...
# ask-stanley-ai
m
its it possible to convert a cash refund to a credit memo from an RMA?
c
AI generated answer (using internal Slack threads):
Based on the conversations provided, it seems that there is no direct way to convert a cash refund to a credit memo from an RMA in NetSuite. The process of creating a cash refund or credit memo from an RMA typically involves scripting or workflows. In one of the threads, a user mentioned that they were planning to import a credit memo and automatically create a customer refund or just import a standalone cash refund. However, they found that this was not possible via CSV import or workflow transformation. Another user confirmed this and suggested that scripting would be the way to go. They suggested writing a workflow action script if there was already a workflow working on the record, or alternatively using a User Event or map/reduce, depending on the specific use case. In another thread, a user asked about the process of adjusting inventory when an order is returned. The response suggested that typically, an RMA process would be used for item returns, and an item receipt would be attached to that. The credit memo flow in that IA is more for capturing $'s refunded. It's normally easier to separate your refunds from your returns. In the third thread, a user asked about building an approval workflow on Vendor (Bill) credit. The response suggested using an RMA -> Vendor Credit process to handle the approval concept. ****** 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: 0.82610935
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.826070547
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.824732
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