How can I automate customer refund creation with s...
# ask-stanley-ai
a
How can I automate customer refund creation with suitescript
c
AI generated answer (using internal Slack threads):
To automate customer refund creation with SuiteScript, you can use the
N/record
module to create a new customer refund record and then use the
setValue
method to set the necessary fields. Here is a basic example of how you can create a customer refund:
Copy code
javascript
var record = require('N/record');

var refund = record.create({
    type: record.Type.CUSTOMER_REFUND,
    isDynamic: true,
});

refund.setValue({
    fieldId: 'customer',
    value: customerId, // replace with actual customer id
});

// set other necessary fields...

refund.save();
However, when creating a customer refund, you need to apply one or more transactions to it. This can be a bit tricky as the
apply sublist
has zero entries when a customer refund is being created. To apply transactions to the customer refund, you can use the
selectNewLine
and
setCurrentSublistValue
methods:
Copy code
javascript
refund.selectNewLine({
    sublistId: 'apply'
});

refund.setCurrentSublistValue({
    sublistId: 'apply',
    fieldId: 'apply',
    value: true
});

// set other necessary sublist fields...

refund.commitLine({
    sublistId: 'apply'
});
Please note that this is a simplified example and you may need to set other fields and sublist fields depending on your specific use case. Also, you may need to handle errors and edge cases in your script. ****** 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: 0.867693067
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.852707267
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.838235795
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