Interpretable fit knowledge
The layer that converts measurements, history, and garment outcomes into reusable fit understanding.
Definition
Fit Intelligence is the interpretation layer within Size Passport that converts body measurements, garment outcomes, and operator notes into structured, reusable fit understanding — not just a record of numbers.
For the person
It means the system remembers how you actually like your clothes to fit, not just what a tape measure once captured.
For the ecosystem
This is where the platform can compound defensible knowledge across operators without becoming brand-specific software.
Why it matters
Raw measurements rarely explain preference, ease, or historical behavior. Intelligence turns isolated numbers into durable value.
Combines body data with garment outcomes and ease preferences.
Preserves operator-attributed observations instead of flattening them.
Supports better recommendations, interpretation, and continuity over time.
Related readings
Longitudinal fit continuity
Intelligence compounds only when previous states remain available.
Finished garment context
Fit is interpreted through finished garments, not body data alone.
Tailoring informed by persistent data
Digital tailoring improves when fit knowledge accumulates across sessions.
Questions answered clearly
No. Prediction can be part of it, but the concept is broader. It includes history, preferences, operator notes, and garment outcomes.
Because a measurement is a fact. Intelligence is an interpretation layer built around facts, outcomes, and repeated use.
From the combined record of body measurements, finished garment measurements, preference notes, and fitting history — contributed by the customer and by approved operators, each observation attributed to its source.
Partly. Self-reported preferences and exported measurements contribute to the record. But operator observations — from actual fittings and garment outcomes — add interpretive depth that self-measurement alone does not provide.