This transaction has already been partially or ful...
# ask-stanley-ai
n
This transaction has already been partially or fully refunded. If you create another refund, you may be over-refunding the sale. Click OK to continue.
c
AI generated answer (using internal Slack threads):
Based on the conversations, it seems that the topic revolves around handling refunds in NetSuite, particularly partial refunds and refunds for items that have not been shipped. Here are the key points: 1. For handling partial refunds against line items on Sales Order transactions, it seems there is no straightforward solution. It's important to consider the cost-effectiveness of implementing a system to prevent over-refunding versus the potential loss from over-refunding. 2. If you need to refund a customer based on a calculated item price, you might want to create a credit memo first, and then refund the credit memo. The customer refund is more aimed at refunding a transaction rather than an item. Here is a sample SuiteScript code for creating a customer refund:
Copy code
code
var ref = nlapiCreateRecord('customerrefund', {entity:996,customform:41});
for(var i = ref.getLineItemCount('apply'); i>0; i--){
    if(1189 == ref.getLineItemValue('apply', 'doc', i)){
    ref.setLineItemValue('apply', 'apply', i, 'T');
    ref.setLineItemValue('apply', 'amount', i, ref.getLineItemValue('apply', 'due', i));
}
console.log(
i +' '+
ref.getLineItemValue('apply', 'doc', i) +' '+ 
ref.getLineItemValue('apply', 'apply', i) +' '+ 
ref.getLineItemValue('apply', 'amount', i) + ' '+
ref.getLineItemValue('apply', 'total', i));
}
console.log(nlapiSubmitRecord(ref, true));
3. For refunding a customer for a backordered item that was never shipped, you can create a Cash Refund from the Cash Sale and set the QTY to 0, but leave the amount. Alternatively, you can replace the inventory item with a non-inventory item and set the display name instead. ****** 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: 0.815045118
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.809030235
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.805779934
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