The Scenario
The customer service team spent six months manually entering addresses from phone calls into an Excel workbook. Three hundred rows. The team knew the data was messy — typos, missing unit numbers, streets abbreviated inconsistently — and they flagged it as a cleanup item every quarter. Now there's a physical mailing going out to all of them and someone finally has to deal with it.
That someone is you. You're a customer service lead and this came in late yesterday with a request to have it cleaned by tomorrow morning.
The bad version:
- You scan through the workbook and start manually fixing obvious typos — "Str" instead of "Street," "Claifornia" instead of "California" — but after 40 rows you realize you're going to be at this all evening.
- You try a fuzzy match formula to catch common abbreviations, but it flags corrections you don't trust and misses the ones that are subtly wrong.
- You send the workbook back half-cleaned, noting that 90 rows still need review, and ask the team to spot-check them before the mailing runs.
Tomorrow morning is tomorrow morning. The mailing vendor's file upload window is 9 AM.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the dirty address column, sends each entry through PostGrid Verify's address suggestion endpoint, and writes the best corrected match back next to each row — no manual review of individual typos required.
Read every row in the Dirty Addresses sheet and use PostGrid address suggestions to find the closest matching verified address — write the suggested address into column D and mark CORRECTED or NO MATCH in column E.
What You Get
- Column D receives the top address suggestion from PostGrid for each row — corrected spelling, standardized abbreviations, added unit numbers where PostGrid can infer them.
- Column E receives a flag: "CORRECTED" where PostGrid returned a confident suggestion, "NO MATCH" for rows where no strong match was found.
- The original entry is preserved so you can compare before-and-after for any row that looks off.
What If the Data Is Not Quite Ready
Some rows have addresses split across two columns that need joining first
For each row, concatenate columns A and B (street and city) into a single address string, then call PostGrid Verify's address suggestion endpoint on the combined string. Write the top suggested corrected address into column C and the verification status into column D.
You only want suggestions for rows that failed a previous verification attempt
In the Dirty Addresses sheet — for all rows where column C says unverified, call PostGrid Verify's address suggestion endpoint and write the top suggested address into column D and mark CORRECTED or NO MATCH in column E. Leave already-verified rows untouched.
Suggestions need to be ranked so the team can choose
For each address in column A, call PostGrid Verify's address suggestion endpoint and write the top three suggested addresses into columns B, C, and D respectively — one suggestion per column. Write the confidence score for each into columns E, F, and G.
Full cleanup pass before mailing — normalize, suggest, flag, summarize
For each address in column A of the Dirty Addresses sheet: normalize any obvious formatting issues (extra spaces, missing commas), then call PostGrid Verify's address suggestion endpoint. Write the best suggestion into column B, the verification status into column C, and mark CORRECTED or NO MATCH in column D based on whether a high-confidence suggestion was returned. Write the total count of NO MATCH rows into cell E1.
One prompt handles normalization, suggestion lookup, writeback, status flagging, and a row count — rather than a formula pass, a manual review session, and a separate counting step.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with manually entered address data before it goes into a mailing or CRM import, then ask it to run PostGrid address suggestions and flag the rows that need a human look. For related workflows, see how to bulk-verify a full address list or parse unstructured address strings into structured columns.