Why Size-Level Visibility Drives B2B Orders
For size-driven categories, buyers do not make decisions from product-level totals alone. They need to evaluate depth across specific size runs. A single total quantity can look healthy while hiding gaps in critical sizes that block practical order placement.
That is why My Stock Sheet exports size columns directly in the spreadsheet, alongside a product total. The format mirrors how wholesale teams review stock internally and how buyers think about sell-through potential.
How the Export Structure Works
During generation, the app collects available option values and creates dynamic size columns. Each product row shows per-size quantities plus a bold total stock value. The resulting layout is optimized for quick scan behavior in spreadsheet tools used by wholesale teams.
Because this is generated from live Shopify inventory at export time, size-level values stay aligned with current data instead of drifting as static files age.
- Dynamic columns based on available sizes
- Per-size inventory values for each product
- Bold product total for fast comparison
Configured Around Your Size Option
The app does not hard-code a single size attribute. It uses the size option name configured in settings, so if your catalog uses a different option label, the export can still map the values correctly.
That flexibility matters because some catalogs use Size, some use region-specific labels, and some use more specialized option names. The output still stays readable because the spreadsheet labels are normalized into buyer-friendly size columns.
Catalog Types That Benefit Most
Footwear catalogs with dense EU and US runs see immediate value because buyers can identify missing sizes quickly. Apparel catalogs with S-XXL or seasonal variants also benefit from the structured display, especially when multiple stakeholders review the same file.
Any merchant selling variant-heavy assortments can use this structure to reduce manual spreadsheet cleanup and accelerate order discussions.
Pairing With Other Features
Size columns are strongest when combined with secure tokenized links for distribution and optional stock masking for sensitive data protection. In practice, these three capabilities usually form the core of a buyer-facing inventory workflow that is both practical and controlled.
Why This Beats Raw Variant Dumps
Raw variant exports may contain all data but still force buyers to reorganize rows before they can place orders confidently. That extra preparation introduces delay and increases mistakes when teams are reviewing many SKUs under time pressure.
My Stock Sheet size columns are designed to match decision behavior directly: one product row, clear size distribution, and fast total comparison. That shift from data completeness to decision-ready presentation is what improves wholesale workflow performance.
