Why it matters
Why this page matters in the wider system.
Without garment context, systems confuse body shape with garment construction and lose the reasons behind a good or bad fit. This is the failure mode behind most size-recommendation tools: they learn that a customer keeps size 50 from one brand and returns size 50 from another, and conclude something about the customer when the difference was entirely in the cloth. With the garment layer separated, the same two data points say something useful instead — that one house cuts 4 cm more ease at the chest than the other, which is a fact about the houses and predicts the next purchase at either of them.
Stores finished garment measurements separately from body measurements, so ease is visible as a difference rather than buried in a single number.
Links garment outcomes to the session, the operator and the fit interpretation that produced them, which is what makes a later reading interpretable.
Records what was altered after delivery and by how much, because an alteration is the most precise statement available about where a pattern was wrong.
Carries fabric and construction context, since the same measurements in a 13 oz flannel and a tropical wool do not behave the same way.
Allows future operators to understand what previously worked in practice, at any house, rather than inferring it from the size label the customer reports.