The Scenario
Your repair chain is opening a new location next week. Before the doors open, 120 customer repair requests that came in during the soft-launch period need to exist in RepairShopr as tickets — with the right customer, device, and issue description — so technicians can start working from day one. The requests are in a spreadsheet. The tech opening date is fixed. And someone just told you there's no import tool in RepairShopr for tickets.
The bad version:
- Open RepairShopr, click New Ticket, search for the customer by email, fill in the device type, paste the issue description from the spreadsheet, click Save.
- Switch back to the spreadsheet, move to row 2, switch back to RepairShopr, repeat.
- Reach row 34 and realize you've been leaving the "assigned technician" field blank for every ticket because you forgot it was required, so you have to go back and edit the first 33.
One hundred twenty tickets at five minutes each is ten hours of pre-launch work that nobody budgeted for.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the repair-request spreadsheet, understands what's in each column, and through its built-in RepairShopr integration it can create all 120 tickets in one operation — writing the returned ticket ID into column D as each one is created so you have a complete import log.
Create a RepairShopr ticket for each row in this sheet using customer ID in column A, subject in column B, and problem description in column C, then write the ticket ID into column D
What You Get
- One RepairShopr ticket created per row, using the customer ID, subject, and description from the sheet
- The returned ticket ID written into column D as each ticket is created
- Rows that fail (e.g., a customer ID that doesn't exist in RepairShopr) get the error message in column D instead of a ticket ID
- Successful creates and failures are clearly labeled — no ambiguity about what made it in
What If the Data Is Not Quite Ready
Customer IDs in the sheet are missing and you only have email addresses
For each row, look up the RepairShopr customer by email in column B and create a ticket with device type from column C and issue description from column D; write the ticket ID into column E or the error if the customer is not found
Some rows have a preferred technician that should be assigned at creation
Create RepairShopr tickets for each row using customer ID in column A, subject in column B, and problem description in column C; if column E contains a technician name, assign the ticket to that technician; write the ticket ID into column F
The issue descriptions have extra whitespace and inconsistent casing that needs cleaning
Create RepairShopr tickets for each row using customer ID in column A and subject in column B; clean the text in column C by trimming whitespace and capitalizing the first letter before using it as the problem description; write the ticket ID into column D
Full import pass: clean descriptions, assign techs, log results
For all 120 rows in this sheet, create RepairShopr tickets using customer ID from column A, subject from column B, and problem description from column C (trimmed); if column D contains a technician name, assign the ticket; write the returned ticket ID into column E on success and the error message on failure; mark column F "MANUAL REVIEW" for any row where column E contains an error
The pattern: handle the cleanup and the conditional logic in one prompt so you get a complete, labeled import log rather than an unknown partial import.
Try It
Open your repair-request spreadsheet in Google Sheets and get the 7-day free trial of SheetXAI — ask it to create all 120 RepairShopr tickets from the sheet and write back confirmation IDs before your opening day. For related work, see how to bulk create customers from a migration sheet or the RepairShopr integration overview.