The Scenario
Every Monday morning you do a physical stock count across three stores, enter the results into a Google Sheet, and then try to get those numbers into Simla before the warehouse team starts fulfilling the week's orders. The sheet has 400 SKUs, three store columns, and a purchase price column. Simla needs to reflect reality — stale inventory numbers cause oversells. You've already had two incidents this quarter.
The bad version:
- Navigate to Simla's inventory section, filter by store, find each SKU, update the quantity and purchase price fields one by one.
- Or try to figure out whether Simla's import tool can handle multi-warehouse inventory data, discover that it can't in the format you have, and spend an hour restructuring the sheet.
- Finish the update for Store 1 by 10 AM, realize you're already behind on Store 2, and push Store 3 to tomorrow — by which point the count is 24 hours stale.
The whole point of the Monday count is that it's current when it goes in.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside Google Sheets. It reads your inventory spreadsheet and pushes updated stock quantities and purchase prices into Simla's inventory system for all three stores simultaneously — using Simla's inventory update API.
Upload inventory quantities from this sheet to Simla using offer ID in column A, store code in column B, and available quantity in column C — sync all rows.
What You Get
- All 400 SKU inventory records updated in Simla across the three stores
- Failed rows flagged with the reason — offer ID not found, store code not recognized, invalid quantity
- A confirmation count of how many records were updated per store
- The sync timestamp written into a summary row so you have a record of when the update ran
What If the Data Is Not Quite Ready
The sheet is wide-format — one row per SKU with three store columns — but Simla expects one row per SKU per store
Simla's inventory update API expects a single store code and quantity per record. If your sheet has columns for Store A, Store B, and Store C, you need to pivot first.
Unpivot the inventory sheet so each SKU-store combination becomes a separate row (offer ID, store code, quantity), then upload all rows to Simla and mark each row Synced or Failed.
Purchase prices are missing for some SKUs
Skip rows where the purchase price column is blank, upload all rows with a purchase price using offer ID in column A, store code in column B, quantity in column C, and purchase price in column D — flag skipped rows with "NO PRICE" in column E.
Some offer IDs in the sheet are article codes, not Simla offer IDs
Match article codes in column A to Simla offer IDs using my SKU Mapping tab (column A = article code, column B = Simla offer ID), then upload inventory quantities and purchase prices for each matched record — flag unmatched codes as "NO MATCH".
Unpivot, map, and sync in one ask
Unpivot the sheet to one row per SKU-store, map article codes to Simla offer IDs via my SKU Mapping tab, skip rows with missing purchase prices, then upload all valid rows to Simla and mark each row Synced, Failed, or No Match.
One prompt handles the data structure transformation and the sync together.
Try It
Get the 7-day free trial of SheetXAI and open your weekly inventory count spreadsheet. See Batch Update Product Prices for catalog price changes, or the full Simla.com hub for all inventory and catalog workflows.