The Scenario
Your shop is switching platforms. You have 300 customers in a spreadsheet exported from your legacy system — names, emails, phone numbers, all cleaned up and ready — and go-live is Friday. Before then, every one of those customers needs to exist in RepairShopr so your technicians can find them when tickets start coming in. You're the operations manager handling the migration, and the weekend before the cutover is not the time to discover that manual entry is the only option.
The bad version:
- Open RepairShopr, click New Customer, fill in the first name, last name, email, and phone for row 1. Click Save.
- Switch back to the spreadsheet, scroll to row 2, switch back to RepairShopr, repeat.
- Hit row 47, realize you've been copying from the wrong column for the last twelve rows, go back and fix them one by one.
Three hundred customers at three minutes each is fifteen hours of data entry. That's not a migration — that's a punishment.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the migration spreadsheet, understands the layout, and through its built-in RepairShopr integration it can create all 300 customer records in a single operation — writing the returned customer ID back into the sheet for confirmation as it goes.
Create a RepairShopr customer for every row in this sheet using first name in column A, last name in column B, email in column C, and phone in column D, then write the returned customer ID into column E
What You Get
- A RepairShopr customer record created for each row
- The new customer ID written into column E as each record is created
- Rows that fail (e.g., a duplicate email) get an error message in column E instead of an ID, so you know exactly which ones need attention
- Rows that succeed are clearly separated from rows that didn't — no silent partial imports
What If the Data Is Not Quite Ready
Some rows have combined "Full Name" in one column instead of first and last split
Create RepairShopr customers for every row in this sheet, treating the first word of column A as the first name and everything after the first space as the last name, using email in column B and phone in column C
The spreadsheet has duplicate emails that need to be deduplicated before creating records
Before creating RepairShopr customers, check column B for duplicate email addresses and write "DUPLICATE" in column F for any row that shares an email with another row, then create customers only for rows where column F is empty
Some rows are missing a phone number and you want to handle them separately
Create RepairShopr customers for all rows where column D is not empty, using columns A through D; for rows where column D is empty, write "SKIP - no phone" in column E instead of creating a record
Full migration pass: dedup, skip empties, create, write back status
For each row in this sheet, check column B for duplicate emails and mark duplicates in column F; for non-duplicate rows where column C contains an email, create a RepairShopr customer using first name in column A, last name in column B, email in column C, and phone in column D; write the customer ID into column E on success or the error message on failure
The underlying pattern: describe the conditional logic in the prompt so you get a clean import log rather than a mess to untangle afterward.
Try It
Open your migration spreadsheet in Google Sheets and get the 7-day free trial of SheetXAI — ask it to create all your RepairShopr customers from the sheet and write back confirmation IDs in one pass. For related work, see how to bulk create tickets from a spreadsheet or the RepairShopr integration overview.