Demand sensing
Sell-through, returns, search terms and weather all feed one style-level demand read. The system separates a genuine trend from a one-week spike before the buy sheet closes.
LAUREN CLOTHING COMPANY LLC gives apparel retailers a planning platform that reads sell-through the way a good buyer reads a fitting room: style-level demand sensing, size curves per door, markdowns timed to elasticity — so the season ends with margin instead of racks nobody wanted.
Meridian Wrap Dress
Rust / Ivory · XS-XXL · 8-step
Hale Knit Cardigan
Bordeaux · S-XXL · 6-step
Column Midi Skirt
Ink / Blush · XS-XL · 7-step
Harbor Trench
Camel · XS-XXL · 8-step
SAMPLE STYLE SHEET — ILLUSTRATIVE DATA
DEMAND-SENSED
buys start from what the data says will sell, not what the showroom liked
SIZE-CURVE LITERATE
every allocation respects the real size/spread of each door's customers
MARKDOWN-TIMED
markdowns land when elasticity says so — weeks before the panic discount
RETAIL-TESTED
the models are trained on apparel sell-through, not generic retail math
38%
fewer end-of-season markdown dollars
2.9×
fresher inventory turns per door
92%
of buys placed against sensed demand
11 days
from sell-through signal to reallocation
THE SYSTEM
Sell-through, returns, search terms and weather all feed one style-level demand read. The system separates a genuine trend from a one-week spike before the buy sheet closes.
Each door gets its own size and color curve, learned from its own history. Allocation stops averaging your customers and starts fitting them.
Elasticity models price the exit: when to mark down, by how much, and which units to transfer instead of discount. Margin survives the season.
Every close-out writes back into the models — buys, curves, timing — so the next season starts smarter, not just over.
THE SEASON
PRE-SEASON
The buy plan is drafted from sensed demand and last season's write-back, with size curves already shaped per door cluster.
WEEKS 1-6
First sell-through updates the demand read weekly. Slow styles get flagged for transfer before they age on the floor.
MID-SEASON
Allocation re-balances across doors and the elasticity engine schedules markdowns at the margin-saving moment.
CLOSE-OUT
The season closes into a retrospective that writes back into every model. Next season's buy starts from evidence.
PLANS
Run one category through a full sensed season and measure the delta against your previous-year numbers.
The standing program: every category, every door, every week — sensing, allocation and markdown timing on rails.
A named planning analyst beside your merchants for open-to-buy, vendor negotiations and seasonal strategy.
THE HOUSE
RULE 01
Merchants bring taste; the floor brings evidence. A style that reads beautifully and sells flat gets cut on schedule, not on hope.
RULE 02
No door's customers are average. Allocation that ignores local size curves manufactures its own markdowns.
RULE 03
The most valuable garment data is last season's misses. Write them back into the models and the miss list gets shorter every year.
DOORS WE PLAN FOR
REGISTERED OFFICE
LAUREN CLOTHING COMPANY LLCBring one category's history. We'll show you the markdown dollars a sensed season would have saved.
Request a season pilotDEMAND-SENSED
buys start from what the data says will sell, not what the showroom liked
SIZE-CURVE LITERATE
every allocation respects the real size/spread of each door's customers
MARKDOWN-TIMED
markdowns land when elasticity says so — weeks before the panic discount
RETAIL-TESTED
the models are trained on apparel sell-through, not generic retail math