In NetSuite how to attach a contact to a customer ...
# ask-stanley-ai
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In NetSuite how to attach a contact to a customer using suitescript 1.0
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AI generated answer (using internal Slack threads):
In NetSuite, to attach a contact to a customer using SuiteScript 1.0, you would typically use the
record.attach
method. However, before you can attach a contact to a customer, you need to create both the contact and the customer records separately. Here is a simplified example of how you might do this:
Copy code
javascript
// Create the contact record
var contact = nlapiCreateRecord('contact');
contact.setFieldValue('firstname', 'Test');
contact.setFieldValue('lastname', 'Test');
var contactId = nlapiSubmitRecord(contact);

// Create the customer record
var customer = nlapiCreateRecord('customer');
customer.setFieldValue('companyname', 'Test Company');
var customerId = nlapiSubmitRecord(customer);

// Attach the contact to the customer
nlapiAttachRecord('contact', contactId, 'customer', customerId);
In this example,
nlapiCreateRecord
is used to create a new contact and customer record. The
setFieldValue
method is used to set the values of the fields in these records.
nlapiSubmitRecord
is used to save the records and return their internal IDs. Finally,
nlapiAttachRecord
is used to attach the contact to the customer. Please note that this is a simplified example and you may need to adjust it to fit your specific needs. For example, you may need to set additional fields on the contact and customer records, handle errors, etc. ****** 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: 0.858465075
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.855122089
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.854804575
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