“Size 12” is not a measurement. It is a marketing decision.
Two garments labelled M can differ by six centimetres across the chest, and both are correct. Every shopper choosing a size without published measurements is guessing — and fit is the leading return reason in apparel.
- style_code
- GRV-MC-241
- name
- MERINO CREW NECK SWEATER
- colour
- Navy / Oat / Moss / Rust
- size
- XS S M L XL XXL
- composition
- Merino wool
- body_measurements
- not supplied
- care_symbols
- not supplied
- fibre_percentages
- not supplied
Attributes required per variant · knitwear
- Vertical
- Apparel & footwear
- Specimen
- GRV-MC-241
- Standards
- ISO 3758 · EU 1007/2011
- Matrix
- 4 colours × 6 sizes
- Completeness
- 5 / 38
"Merino wool" is not a composition
EU textile labelling requires fibre percentages by weight. This garment is 85/15 with polyamide, and the second fibre is the one that changes care and durability.
No body measurements
Only label sizes. A shopper cannot tell whether your M matches the M they own, which is the single most common reason apparel comes back.
Four colours × six sizes
Twenty-four variants inherit every gap above. A missing attribute here is not one error, it is twenty-four.
Merino Crew Neck Sweater
- style_code
- GRV-MC-241
- name
- MERINO CREW NECK SWEATER
- colour
- Navy / Oat / Moss / Rust
- size
- XS S M L XL XXL
- composition
- Merino wool
- body_measurements
- — not supplied —
- care_symbols
- — not supplied —
- fibre_percentages
- — not supplied —
3 of 8 fields empty · each gap repeats across 24 sellable variants
Label sizes with no measurements · a composition that breaches EU fibre labelling · multiplied by 24
5
Attributes supplied at style level and inherited.
38
Attributes needed per variant for filtering, sizing and compliance.
Three that decide whether a garment sells or comes back.
A label size is a brand decision, not a dimension. Two garments both labelled M can differ by six centimetres across the chest, and both are correct.
Which means a shopper choosing a size is guessing unless you publish measurements. Fit is consistently the leading return reason in apparel, and it is the one return reason that is purely a data problem rather than a product problem.
Laid flat, underarm to underarm
High point of shoulder to hem
Shoulder point to cuff, convention named
The increment between consecutive sizes
EU / UK / US / JP, per garment type
Relaxed, regular, slim — defined by measurement, not adjective
Six ways apparel data becomes a returns line.
The fit return
The garment is exactly as described and comes back anyway, because the shopper had no way to compare your M to the M in their wardrobe. You pay shipping twice and lose the sale.
Unfilterable colour
"Oat", "Bone" and "Sand" are three of your colours and none of them appear under a beige filter. The shopper who wanted beige never sees any of them.
Variant drift
A colourway is created by duplication rather than inheritance. Six months later it has a stale composition and nobody knows which is right.
Care as a sentence
"Machine washable" in the description and no ISO symbols. It does not render in market-specific templates and cannot be validated by anyone.
Composition rounding
Percentages that do not sum to 100, or a blend declared as a single fibre. A labelling breach that is trivial to detect and routinely shipped.
Assortment mismatch
Sizes published to a market you do not carry them in, generating orders you cannot fulfil and cancellations that damage seller metrics.
Every failure above happens once at style level and lands twenty-four times in your catalogue. This is why apparel data debt compounds faster than any other vertical, and why fixing it at style level with real inheritance is worth considerably more than fixing twenty-four listings by hand.
One season, then every season.
Apparel rollouts are best scoped to a season rather than a catalogue, because the intake cadence is the thing that has to work.
Matrix audit
We measure attribute completeness at style, colourway and size level, and identify variants that were duplicated rather than inherited.
A product export including variants · no integration
Measurement and composition
Body measurements, fibre percentages and care codes are extracted from tech packs, spec sheets and care labels, with a source per value.
Tech packs or supplier specs, in whatever form you hold them
Colour and size mapping
Brand colour names are mapped to filterable families, and label sizes to regional scales per garment type, keeping your naming on the page.
Your colour card and size charts, if they exist as documents
Seasonal intake
Each new season is resolved on the same rules, so a range built in June does not disagree with one built in January.
Nothing — new styles inherit the resolved model
Find out which returns were avoidable.
Send one season plus your return reasons. We will resolve measurements, composition and colour families for the range, and show you which fit returns correlate with styles that published no measurements at all.
One season · Return reasons optional · Findings in 10 working days