Own-brand apparel: you are not buying garments, you are buying a size curve
What this answers
How do minimums, size ratios and fit decisions determine what an own-brand clothing order really costs me?
Clothing hides its inventory risk inside a matrix. Minimums apply per style and per colourway, then the quantity splits across sizes in a ratio you must nominate before any customer has told you their shape. Whatever you guess wrong on sits at the ends of the curve until markdown. Behind that sits a fabric commitment made before cutting starts, and a fit specification that determines how much of what you sell comes back.
Written for: clothing brand founders placing first bulk orders, buyers planning size ratios and colourways, product developers writing garment specifications.
The order is a matrix and you have to nominate its shape
A factory quotes a minimum per style, usually repeated per colourway, and you then allocate that quantity across a size range. The ratio you choose is a forecast of your customers' bodies made before you have any customers, and demand is rarely symmetrical: it concentrates in the middle and tails away unevenly at both ends, differently by garment type and by market. What remains after the middle sells is a set of extreme sizes that discount poorly because the people who wanted them have already been disappointed. Adding a second colourway doubles the whole exercise rather than merely adding options.
Fabric commitments sit above garment commitments
Mills have their own minimums, generally per colour and per dye lot, and cloth must be bought before anything is cut. A garment order too small to consume a viable fabric quantity leaves you paying for cloth you do not use, accepting a mill's stock fabric that competitors also use, or paying a premium for someone else's surplus. Dye lots also vary, so a repeat order in the same colour may not match the first, which matters when two production runs meet on a rail or in a customer's wardrobe. Confirm the fabric position before treating a garment quotation as real.
Fit is the craft, and the specification has to carry it
A technical package with measurement points, tolerances, grade rules between sizes and construction detail is what makes a garment reproducible; without one you are approving a sample and hoping bulk resembles it. Fit sessions on real bodies catch what a flat measurement will not, and drift between sample and production is normal enough that it should be checked rather than assumed. This matters commercially because fit drives returns, and returns in fitted garments consume the margin and often the unit as well. The pattern and grading you develop are assets worth owning outright rather than leaving with a factory.
What must appear on a garment, and who is asking about the site
Fibre composition, care guidance, size marking, origin and the languages in which these appear are governed differently across markets, and getting them wrong can stop a shipment or a listing rather than merely embarrassing you. Separately, buyers of any scale will ask about conditions at the site that made the goods, and expect documentation rather than reassurance. Both areas change and both depend on your specific markets and customers, so this is orientation for planning rather than legal guidance — confirm the detail before artwork and labels are committed to print.
A season closes, and online returns finish the job
Apparel demand is bounded by weather and by a retail calendar, so stock that misses its window cannot simply wait: it carries storage cost, occupies cash, and re-emerges next year alongside a newer range that makes it look old. Meanwhile the return rate in online clothing is high by the standards of almost any other category, and returned garments are not always in a condition to resell. A gross margin that looked generous at the point of ordering can be entirely consumed by end-of-season markdown and by units that travelled to a customer and back without ever being sold.
Frequently asked questions
- How do I choose a size ratio for a style I have never sold?
- Borrow evidence rather than guessing from instinct. Comparable products in your market, the returns data of any similar item you already sell, and the factory's experience of what other customers order in that garment type all give a better starting point than intuition. Then skew conservative at the extremes on the first run and correct on the second, since being short of a popular size costs you a sale while being long of an unpopular one costs you the whole unit.
- Should I own the patterns and graded specifications?
- Yes, and agree it in writing before development starts. Patterns and grade rules are the part of the work that makes your fit reproducible somewhere else, and a factory that holds them holds your ability to move. Ask for the graded files, the technical package and a sealed reference sample as deliverables. Whether you paid separately for development or had it absorbed into unit pricing changes the negotiation, so settle ownership while you still have something to trade.
- Is it worth adding a second colourway to a first production run?
- Usually not. A second colour typically means a second minimum, a second fabric commitment, a second set of size decisions and twice the stock spread across the same uncertain demand. It also splits the sales history that would otherwise tell you clearly whether the style works. Prove the style in one colour, then use real sell-through to choose the next, which is a far better guide than a mood board or a supplier's suggestion.
Data limitations
- No manufacturer, supplier, vendor or factory is recommended, rated or ranked anywhere in this cluster, and no directory of them is published. Selection material describes how to run your own assessment; the assessment itself remains yours.
- Manufacturing figures are operator-supplied inputs, not market data. GeoBusinessIQ holds no factory costs, production volumes, yields, cycle times, tooling prices or capacity data and does not estimate them — every result reflects only the figures you enter.
Explore the graph
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Across the manufacturing graph
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- Quality control: measuring what came out and acting on the answer
- Quality system certification: what the certificate on the wall actually attests
Calculators
Sources
- United Nations Industrial Development Organization — UNIDO (accessed )Covers: Industrial development analysis, industrial statistics methodology, and manufacturing capability programmes across member states.Does not cover: Company-level data, factory costs, supplier information, or real-time production statistics.Why it matters: The United Nations agency for industrial development; used for structural framing of how manufacturing sectors develop, never for point figures.Review cadence: annual
- International Labour Organization — ILO (accessed )Covers: International labour standards, occupational safety and health conventions, and working-conditions research.Does not cover: National enforcement practice, wage data for a given plant, or employment terms in a specific contract.Why it matters: The UN agency setting international labour standards; cited for the framework behind factory labour and safety obligations.Review cadence: annual
- OECD — OECD — economic and tax statistics (accessed ; reviewed )Covers: Comparable corporate tax, statutory rate, and economic indicators across member and partner economies.Does not cover: Effective tax rates, deductions and incentives, local surtaxes, and personal residency rules.Why it matters: Used as a cross-country baseline to sanity-check rates against primary tax-authority figures.Review cadence: Annual, plus on major statutory changes.
Educational and operational information only — not legal, engineering, safety, customs, tax, or financial advice. Requirements vary by jurisdiction, product, process, and contract; confirm with the relevant authority or a qualified professional before acting.
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