The Scenario
Your supplier sent a price list update last week. Two hundred of your RepairShopr products need new retail prices. The updated prices are already in column B of a Google Sheet — one row per product ID. The only thing standing between you and a correct price list is pushing all 200 updates into RepairShopr. The last time this happened, whoever handled it went into RepairShopr, clicked each product, typed the new price, clicked Save, and moved to the next one. That person is no longer on the team.
The bad version:
- Open RepairShopr. Search for product 1 by SKU. Click Edit. Change the retail price. Click Save.
- Go back to the spreadsheet. Move to row 2. Search for product 2. Repeat.
- Hit row 80 and realize you've been updating the wrong price field — cost instead of retail — for the last twenty rows. Go back and fix them.
Two hundred products at three minutes each is ten hours. At least six of those hours are going to be on a Friday afternoon.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the price-update sheet, understands the layout, and through its built-in RepairShopr integration it can push all 200 price updates in one operation — writing back a confirmation or error for each row so you know exactly what landed.
Update the retail price in RepairShopr for each product ID in column A using the new price in column B
What You Get
- The retail price updated in RepairShopr for each row
- A "updated" confirmation written into column C for each successful update
- Any row that fails (e.g., a product ID that doesn't exist) gets the error message in column C instead
- Successful updates and failures are clearly separated — no ambiguity about which prices changed
What If the Data Is Not Quite Ready
The sheet has SKUs instead of product IDs
For each row, look up the RepairShopr product by SKU in column A and update its retail price to the value in column B; write "updated" or the error into column C
You need to update both cost and retail price in the same pass
For all 200 rows in this Excel table, update the RepairShopr product identified by SKU in column A, setting the new cost from column C and new retail price from column D; write the result into column E
Some rows have a price of zero and should be skipped
Update the RepairShopr retail price for each row where column B is greater than zero, using product ID in column A and new price in column B; for rows where column B is zero or empty, write "SKIPPED" in column C
Full price push with validation: skip zeros, log results, flag failures
For each row in this sheet, if column B contains a positive number, update the RepairShopr product in column A with that retail price and write "updated" in column C; if column B is zero or empty, write "SKIPPED"; if the update fails, write the error message and mark column D "REVIEW NEEDED"
The pattern: describe the conditional logic upfront so you get a clean result log rather than discovering the partial update three days later.
Try It
Open your price-update spreadsheet in Google Sheets and get the 7-day free trial of SheetXAI — ask it to push all 200 retail price changes to RepairShopr in one pass and write back a confirmation for every row. For related work, see how to audit inventory stock levels or the RepairShopr integration overview.