The Scenario
It's 9 AM Thursday. Your warehouse team flagged that 140 shipments from last week's batch came back undeliverable. You pull up the customer workbook — 4,200 rows, addresses collected through three different sign-up forms over two years. Some have postcodes. Some don't. Some are formatted like street addresses, some like suburb descriptions, some like whatever someone typed into a mobile text field.
The bad version:
- Export column A to a CSV, upload it to a verification portal, wait, download the result, and spend 40 minutes aligning the output back to the original workbook row-by-row.
- Manually inspect the INVALID rows to guess whether the problem is a typo, a missing suburb, or a format Addressfinder doesn't recognise — without any systematic way to tell.
- Repeat the whole thing for the next batch of sign-ups that came in overnight.
Undeliverable shipments cost you a re-send fee plus a customer service interaction. The warehouse can't keep absorbing that, and your logistics manager has already sent one very pointed email this week.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the worksheet, understands the data structure, and through its built-in Addressfinder integration it can verify every address and write the enriched output back without any manual export. You just ask.
Verify every address in column A against the Addressfinder AU database and write the standardised address, GPS coordinates, and GNAF ID into columns B, C, and D — mark any that fail as INVALID in column E
What You Get
- Column B: standardised address string in PAF/GNAF format
- Column C: GPS latitude (decimal degrees)
- Column D: GPS longitude (decimal degrees)
- Column E: GNAF persistent identifier for matched addresses, or INVALID for rows that cannot be matched
- Any row that returns a match confidence below the threshold is flagged in column E so you can review it before the next shipment run
What If the Data Is Not Quite Ready
The postcode is missing from most rows
Verify addresses in column A using Addressfinder AU — where the postcode is missing, use the suburb in column B to infer it and write the completed standardised address to column C along with the GNAF ID in column D
Addresses are split across multiple columns
The street number is in column A, street name in column B, suburb in column C, and state in column D — concatenate them into a full address, verify each one against Addressfinder AU, and write the standardised output and GNAF ID to columns E and F
Some rows are NZ addresses mixed into the AU list
Verify the addresses in column A — for rows where column B says "NZ", use the Addressfinder NZ endpoint and write the LINZ ID to column F; for all other rows, use the Addressfinder AU endpoint and write the GNAF ID to column F. Write the standardised address to column C in both cases.
Clean, verify, flag, and write the manifest in one shot
For the addresses in column A: fix obvious formatting issues like missing spaces or capitalisation errors, verify each one against Addressfinder AU, write the standardised address to column B and GNAF ID to column C, flag rows with a match confidence below 80% as REVIEW in column D, and output a summary at the bottom of the sheet showing total verified, total invalid, and total flagged for review
The pattern is to combine the cleanup ask with the verification and the output format in a single prompt rather than running three separate passes.
Try It
Get the 7-day free trial of SheetXAI and open your customer address workbook, then ask it to run a full Addressfinder AU verification pass on your address column. If you're also cleaning NZ data, see the spoke on verifying NZ addresses with LINZ coordinates or the hub overview.