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Simla.com · Google Sheets Guide

Batch Update Product Prices in Simla.com From a Google Sheet

2026-05-15
5 min read

The Scenario

It's Q2 and the price list just changed. 300 SKUs, new retail prices, approved by category management and sitting in a Google Sheet since Tuesday. Every price needs to be live in Simla's store catalog before the weekend. You have a column of offer IDs and a column of new prices. In a different world, you'd just upload a file and go home.

The bad version:

  • Navigate to each product in Simla's catalog admin, open the offer, update the price field, save. Times 300.
  • Or try Simla's CSV import path, spend 20 minutes figuring out which column headers it expects, upload the file, and debug the 15 rows it rejects because the offer ID format differs slightly from what Simla stores internally.
  • Cross-check the uploaded prices against the approved sheet by spot-sampling 30 records in the UI because the import confirmation screen doesn't surface individual row status.

It's Thursday afternoon. The merchandise team is watching.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside Google Sheets. It reads your price update sheet and pushes each new price into Simla's catalog via the bulk price upload API — then marks each row with its result so you have a complete record.

Read my Price Update tab and push the price in column C for each SKU in column A into Simla's store catalog using the bulk price upload, then mark each row Updated or Failed in column D.

What You Get

  • All 300 SKU prices updated in Simla's catalog
  • Column D marked "Updated" or "Failed" for each row
  • Failed rows include the error reason — offer ID not found, price below minimum, etc.
  • A total count of updated vs. failed records in the sidebar summary

What If the Data Is Not Quite Ready

The sheet has both the old price and new price — you only want to update rows where the price actually changed

Filter my Price Update tab to rows where the price in column C differs from the price in column B, then push only those updated prices into Simla using the offer ID in column A — mark each row Updated or Skipped in column D.

Some SKU IDs in the sheet use a different format than Simla's offer IDs

If your sheet has article codes like SKU-1042 but Simla's catalog uses numeric offer IDs, you need a mapping step.

Match each SKU code in column A to the Simla offer ID in my SKU Mapping tab (column A = SKU code, column B = Simla offer ID), then push the price in column C into Simla for each matched offer — mark column D with the result and flag unmatched rows as "NO MATCH".

The price column has mixed formats — some cells have currency symbols, some are plain numbers

Normalize the price column C by stripping any currency symbols and converting to plain decimal numbers, then push the cleaned prices into Simla for each offer ID in column A — mark results in column D.

Full normalization, filtering, and upload in one shot

Normalize prices in column C to plain decimals, filter to rows where the price differs from column B, match SKU codes in column A to Simla offer IDs via my SKU Mapping tab, then push all matched updated prices into Simla and mark each row Updated, Failed, or No Match in column D.

One prompt handles formatting, filtering, ID resolution, and the API call.

Try It

Get the 7-day free trial of SheetXAI and open your quarterly pricing spreadsheet. Ask it to push updated prices for any subset of SKUs — filter by category, by price change threshold, or by product line. See the Bulk Create Catalog Products spoke for adding new SKUs, or the full Simla.com hub for all catalog workflows.

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