The Scenario
You're an inventory manager for a sneaker warehouse. It's end of month. Your operations lead wants to know which of the 30 SKUs currently in the WarehouseInventory sheet should be listed first based on StockX margin — and she needs it broken down by size, not just by SKU. She's presenting to the ownership group on Friday.
Column A has the SKUs. The VariantPricing sheet exists but is empty.
The bad version:
- Go to StockX, search SKU one, click through to the variant-level pricing table, copy each size row individually — US 9, 9.5, 10, 10.5, 11 — into your sheet
- Do that for 30 SKUs, realizing somewhere around SKU 12 that you're going to be here for three hours
- Finish on Thursday evening, realize two of the SKUs had their listings updated since you started, and the data is already partially stale
The ownership presentation is Friday morning. Three hours of manual variant transcription is not something the warehouse manager should be doing the night before a quarterly review.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your SKU list and, through its Retailed integration, pulls full StockX variant-level data and writes it into your sheet in a structured format.
For each SKU in column A of the WarehouseInventory sheet, fetch the StockX product details via Retailed and write each size variant's last sale price and bid/ask spread into separate rows on the VariantPricing sheet with SKU and size as identifiers
What You Get
- One row per size variant in the VariantPricing sheet
- Column A: original SKU
- Column B: size
- Column C: last sale price on StockX
- Column D: bid/ask spread for that size
- SKUs with no variant data get a single row with a note so the gap is visible, not invisible
What If the Data Is Not Quite Ready
You also want the lowest ask and highest bid per size variant
For each SKU in column A of the WarehouseInventory sheet, fetch full StockX variant data via Retailed and write SKU, size, last sale price, lowest ask, and highest bid into the VariantPricing sheet as separate rows per variant
Some SKUs in column A have formatting inconsistencies
Normalize any spacing or casing inconsistencies in column A of the WarehouseInventory sheet, then fetch StockX variant data via Retailed for each SKU and write the results into the VariantPricing sheet with SKU, size, last sale, and bid/ask spread
You want to prioritize by spread — highest-margin size variants first
Fetch StockX variant data via Retailed for all SKUs in column A of the WarehouseInventory sheet, write the results into VariantPricing with SKU, size, last sale, and spread, then sort the VariantPricing sheet by spread descending so the highest-margin size variants appear at the top
Full listing-priority run: fetch all variants, calculate margin estimate, flag top opportunities
Fetch StockX variant-level last sale, lowest ask, and highest bid for each SKU in column A of the WarehouseInventory sheet via Retailed, write as separate rows in VariantPricing with SKU, size, and all three data points, calculate the spread in column E, then flag the top 10 rows by spread in column F as "priority list"
Thirty SKUs, full variant breakdown, sorted by margin — ready for the Friday presentation without a Thursday night sprint.
Try It
Get the 7-day free trial of SheetXAI and open your warehouse inventory sheet — the one where you're trying to decide what to list first — and ask SheetXAI to pull the full StockX variant data via Retailed for every SKU. Also useful: Bulk fetch StockX prices for a list of SKUs and the Retailed integration hub.
