The Scenario
Month-end close is Monday. You're a staff accountant and your task for Friday afternoon is to reconcile 600 customer payments in NetSuite against the bank statement export that just came in. The bank file is already in columns G through J of your Google Sheet. The NetSuite payments aren't in the sheet yet — you need to pull them, match them against the bank rows, and flag any mismatches before your manager reviews the close package on Monday morning.
The bad version:
- Navigate to NetSuite's customer payment list. Filter by October 2024. Export CSV.
- Open the CSV. Check that the columns match what the bank export has. Write a VLOOKUP on TransactionID. Discover that NetSuite's TransactionID format doesn't match the bank's reference number format. Spend an hour normalizing both.
- Flag the mismatches manually by scanning for rows where the VLOOKUP returns N/A.
A reconciliation that should surface mismatches immediately turns into a detective job on formatting inconsistencies between two systems that were never designed to talk to each other.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It pulls NetSuite customer payments directly into the sheet and can add the matching formula alongside the bank data that's already there.
Fetch all NetSuite customer payments for October 2024 and paste CustomerID, Amount, Date, and TransactionID into columns A through D, then add a VLOOKUP in column E matching each against the bank statement data already in columns G through J
What You Get
- All October 2024 customer payments appear in columns A through D.
- Column E contains a VLOOKUP result for each row showing the matched bank reference or N/A if no match is found.
- Rows with N/A in column E are the reconciliation exceptions — ready for your manager's review.
- Row count is noted below the data so you can confirm the pull captured the full month.
What If the Data Is Not Quite Ready
TransactionID format doesn't match the bank's reference number format
Fetch all NetSuite customer payments for October 2024 into columns A through D, then in column E strip any leading zeros from the TransactionID before running the VLOOKUP against the bank statement data in columns G through J
You need to highlight mismatches rather than rely on N/A
Pull all NetSuite customer payments for October 2024 into columns A through D. Add a VLOOKUP in column E against the bank data in columns G through J. Highlight in red any row where column E returns N/A.
The bank file has multiple tabs by account and you need to search across all of them
Fetch all NetSuite customer payments for October 2024 into Sheet1 columns A through D. Then check each TransactionID against the bank data in both Sheet2 and Sheet3, writing the matched amount into column E and the source sheet name into column F. Flag rows with no match in either sheet as UNMATCHED.
Kill-chain: pull payments, match against bank, flag mismatches, and output an exception count in one shot
Fetch all NetSuite customer payments for October 2024 and paste CustomerID, Amount, Date, TransactionID into columns A through D. Match each TransactionID against the bank data in columns G through J using a VLOOKUP in column E. Highlight unmatched rows red. Add a summary at the bottom showing total payments pulled, total matched, and total unmatched.
One prompt gets you from a blank sheet to a flagged reconciliation before end of day Friday.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet with your bank statement export already in place, then ask it to pull the NetSuite payments and run the match. For a related workflow, see how to pull vendor payments for a cash-flow snapshot or return to the NetSuite overview.