The Scenario
You are a CRM administrator at a Russian e-commerce company. The next marketing send is in three days. You have an Excel workbook with 5,000 customer records on the Contacts tab — names, phone numbers, emails, and delivery addresses collected from multiple intake forms.
The data is a mess. Addresses are free-form strings. Phone numbers mix dashes, spaces, brackets, and missing country codes. Emails have obvious typos. The sending platform rejected 412 records on the last import with no useful error message.
The bad version of this week:
- Send the workbook to the dev team for a cleaning script
- Wait two days for the script
- Get it back and find it mishandled the address parser for three regions
- Fix the edge cases manually, row by row
- Upload at 11 PM the night before the send
- 412 records rejected again because the phone format was still wrong.
The fast version is one prompt and the workbook is clean before lunch.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that reads the columns, coordinates multiple DaData endpoint calls per row, and writes the cleaned values back.
Open the SheetXAI sidebar and type:
For each row in the Contacts tab, use DaData to clean the address in column A, standardize the phone in column B, and fix the email in column C. Write the cleaned address into column D, the normalized phone into column E, and the corrected email into column F. If DaData cannot parse an address, write "UNRESOLVED" in column D. If the phone is invalid, write "INVALID" in column E.
SheetXAI reads the columns, calls DaData's address, phone, and email endpoints for each row, and writes the results back. One prompt, three DaData endpoints, one pass over 5,000 rows.
What You Get
Columns D, E, and F filled with standardized values across all 5,000 rows:
- Column D — DaData-standardized address in FIAS format
- Column E — phone normalized to +7XXXXXXXXXX, or "INVALID" if unparseable
- Column F — corrected email, or "UNRESOLVED" if DaData could not fix it
Explicit flags instead of silent failures. Every record DaData could not clean is marked so your review queue is a filter away, not a surprise on import day.
What If the Data Is Not Quite Ready
Real CRM exports have more edge cases than the scenario above. SheetXAI handles them in the same prompt.
When addresses are split across two columns
Street address in column A, city in column B — DaData needs a combined string.
Concatenate columns A and B into a single address string for each row before passing to DaData. Write the standardized full address into column C, and the parsed postal code, city, and street into columns D, E, and F separately.
When some rows are already clean
Records imported from a verified source last month have "VERIFIED" in column G. They do not need re-cleaning.
Skip any row in the Contacts tab where column G says "VERIFIED." For all other rows, run DaData cleaning on columns A, B, and C and write results to columns D, E, and F.
When you only need to fix phones before the send
The address data can wait, but the platform rejects non-E.164 phones on Monday.
Normalize every phone number in column B of the Contacts tab using DaData and write the E.164 format into column E. Mark "INVALID" if DaData cannot parse the number. Leave all other columns unchanged.
When you want cleanup plus a deliverability report in one shot
You need the cleaned data and a summary for the marketing team in the same workbook.
For each row in the Contacts tab, use DaData to clean column A, normalize column B, and fix column C. Write cleaned values to columns D, E, F. Then write a summary table on a new sheet called "Quality Report" showing: total rows processed, number of unresolved addresses, number of invalid phones, number of corrected emails, and number of rows where all three fields are clean.
The pattern: all three endpoint calls and the summary happen in one prompt. The marketing team gets the report without a separate step.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with Russian contact records, then ask it to run DaData cleaning on the columns you care about. The DaData integration is included in every SheetXAI plan. For related workflows, see how to standardize addresses and geocode in Excel or the DaData in Excel overview.