HEAVEN CLOTHING COMPANY LLC gives apparel brands a size intelligence platform: body profiles captured once, sizes recommended with reasons, and a fit loop that learns from every keep and every exchange.
SAMPLE SCAN PANEL — ILLUSTRATIVE DATA
BODY OVER GUESSWORK
fit starts from measured proportions, never from a size chart averaged to nobody
EXPLAINABLE SIZE
every recommendation says why — chest, shoulder, rise — so shoppers trust it and keep it
CATALOG-LEARNED
each garment learns from its own returns; the fit model tightens with every exchange
MTM-BRIDGED
when off-the-rack fails, the platform hands tailors a measurement file, not a photo
-38%
size-related returns across deployed catalogs
2.2×
buy-to-keep on recommended sizes
140+
brands shipping with fit profiles
9 in 10
shoppers confident in their size after one scan
THE ENGINE
PROFILE
Two photos or a handful of measurements produce a structured body profile — proportions, posture and asymmetries — stored once, reused across every brand that speaks our format.
RECOMMEND
The engine matches profile to garment geometry — ease, drape, shrink tolerance — and returns a size with its reasons. Shoppers see the why; brands see the exchange curve bend down.
TIGHTEN
Keeps, returns and exchange notes feed back into each SKU's fit model. A style that runs small gets flagged for regrading; the next cohort buys the right size the first time.
BRIDGE
For the shopper no rack fits, the platform exports a tailor-ready measurement file — to in-house ateliers or partner makers — turning a lost sale into a custom order.
THE MEASURE
The shopper scans once. The profile follows them across every Heaven-connected storefront.
Each product page shows the recommended size with garment-specific reasons and a fit preview.
Keeps and returns retrain the SKU's fit model. The recommendation gets sharper every season.
Edge cases flow to made-to-measure with a complete measurement file instead of a refund.
WAYS TO RUN
Grade your existing catalog against real body profiles and fix the charts that cause exchanges.
The full loop: shopper profiles, explainable sizes on every product page, and the fit model that learns from your own returns.
For brands with made-to-measure lines: measurement files, tailor workflow and custom-order reconciliation.
THE LABEL
THREAD 01
Size charts average a population that contains no actual people. Fit built on measured proportions beats fit built on habit.
THREAD 02
A recommendation without reasons is ignored. When the shopper sees why the size is right, they keep it — and come back.
THREAD 03
Returns are the most expensive fit research in the industry. Brands that feed them back stop paying twice.
CATEGORIES WE FIT
REGISTERED OFFICE
HEAVEN CLOTHING COMPANY LLCSend one category's return file. We'll show you what measured fit would have kept.
Start with a fit auditBODY OVER GUESSWORK
fit starts from measured proportions, never from a size chart averaged to nobody
EXPLAINABLE SIZE
every recommendation says why — chest, shoulder, rise — so shoppers trust it and keep it
CATALOG-LEARNED
each garment learns from its own returns; the fit model tightens with every exchange
MTM-BRIDGED
when off-the-rack fails, the platform hands tailors a measurement file, not a photo