what is recommended way to add back charges in cus...
# ask-stanley-ai
c
what is recommended way to add back charges in customer payment?
c
AI generated answer (using internal Slack threads):
Based on the conversations, there are a few ways to add back charges in customer payment in NetSuite: 1. Adding the service charge to your period close procedure: This method involves updating unpaid invoices with the desired charge prior to closing the period. However, this might be more work than it's worth if the percentage of credit card payments is low. 2. Using a payment link: This method involves adding the charge on a payment link, which is dynamically removed if echeck or debit card is used. This solution might require some customization. 3. Recording fees in the Customer Payments: NetSuite doesn’t handle this very elegantly, but there are a couple of options. You can assign the payment to the invoice, then journal the difference to a P/L bank charges account. Alternatively, you could create a service item 'Bank charges' and post the sales to bank charges. Raise a credit memo using this item with the value of the bank charges this will then credit the A/R account with the value of the bank charges and debit P/L. The payment and the credit note could then be applied to the invoice to clear it completely. 4. Posting a separate standalone transaction: This method involves posting a separate standalone transaction like a Cash sale with the additional charge when an invoice is paid by credit card. ****** 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: 0.829995394
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.828365624
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.821202815
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