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How should I plan size ratios for a bulk activewear order?

Update Time:2026/8/15

No Single Size Curve Fits Every Collection

Size ratios for a bulk activewear order should be based on your target customer, market, previous sales data, product fit, and planned sales channel—not one standard ratio for every collection. For a new brand without historical data, start with a reasonable size curve based on your target market, then keep the first order controlled so you can adjust future production using actual sell-through data.

1

8 Factors That Shape Your Size Curve

Target customer's body-size profile
The approved size range
Product category and fit
Compression level and fabric stretch
Previous sales or preorder data
Expected demand by market
Wholesale or retailer requirements
Inventory risk in extreme sizes

Different Styles, Different Distributions

Leggings, sports bras, oversized tops, and compression garments may require different size distributions even within the same collection. A compression legging skews toward smaller sizes, while an oversized top may skew the opposite direction. Plan each product's ratio individually, not at the collection level.

2

MOQ and Size Breakdown

At Call The STYLE, the standard MOQ is generally 100 pieces per style per color, while the size breakdown within that quantity should be confirmed before bulk production. Confirm your intended size distribution before the purchase order is finalized.

3

Improve the Curve with Real Data

Avoid applying the same generic size ratio to every style or market. After the first launch, use actual sales, returns, and stock levels to improve the size curve for future reorders. If your retailer requires pre-packed size ratios, mixed-size cartons, or specific assortment packing, confirm those requirements before placing the purchase order.

Size-Ratio Planning with Call The STYLE

We help you define a realistic size curve for your target market, confirm the size breakdown before bulk production, and adapt future orders using your actual sell-through data.