The Scenario
It's vendor review season, and the procurement manager just realized the RepairShopr vendor list hasn't been audited in two years. Some contacts have changed. A few vendors have merged. Three email addresses are bouncing. Before the annual supplier questionnaire goes out next Monday, someone needs to pull every vendor — name, email, phone, city — into a Google Sheet and verify which records are still accurate. There are 45 vendors. That's 45 rows of data that exist in RepairShopr and nowhere else.
The bad version:
- Open RepairShopr. Navigate to Vendors. There is no export button that produces a clean, usable file. Find the workaround — a CSV export buried under a different menu.
- Import the CSV. Realize the address exported as a single field with the full street address, city, state, and zip concatenated, when you only need the city.
- Parse the city out of 45 combined address strings using a text formula. Spend forty minutes on a data-prep task that should have been a thirty-second pull.
The questionnaire goes out Monday whether the list is clean or not.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you're building, and through its built-in RepairShopr integration it can pull all 45 vendors with the exact fields you need — city as its own column, not buried in a concatenated address string.
List all RepairShopr vendors and write vendor name, email, phone, and city into this sheet
What You Get
- Column A: vendor name
- Column B: vendor email address
- Column C: phone number
- Column D: city (as a standalone field, not concatenated with address)
- Vendors with missing email addresses are included — the blank cell is visible, not silently excluded
What If the Data Is Not Quite Ready
You need vendor ID for the questionnaire submission form
Export all vendors from RepairShopr into this sheet with vendor ID, name, contact email, and primary phone in columns A through D
Some vendors are inactive and you only want active ones
List all active RepairShopr vendors and write vendor name, email, phone, and city into columns A through D
You want to flag vendors with missing email addresses before the questionnaire goes out
Fetch all RepairShopr vendors and write vendor name, email, phone, and city into columns A through D; put "MISSING EMAIL" in column E for any row where column B is empty
Full vendor audit in one pass: pull all fields, flag gaps, sort alphabetically
Pull all RepairShopr vendors and write vendor ID, name, email, phone, and city into columns A through E; put "MISSING EMAIL" in column F for any row where column C is blank and "MISSING PHONE" in column F for any row where column D is blank; sort the table by column B alphabetically
The pattern: one prompt delivers an audit-ready vendor list with gaps already flagged — no separate steps to find the incomplete records.
Try It
Open a Google Sheet and get the 7-day free trial of SheetXAI — ask it to pull all your RepairShopr vendors, flag any with missing contact details, and sort alphabetically so your questionnaire can go out Monday without a data-prep detour. For related work, see how to create purchase orders from a reorder list or the RepairShopr integration overview.