A season is won
in sizes, not in styles.
Sell-through by style, size-curve health and weeks-of-cover — every door, one board, every day the season is still yours to change.
An executive briefing
← → to advance
THE APPAREL REALITY · RIGHT NOWStyle AW-4412 is breaking
on M and L in six stores.
Not at the end of the season. Not in next week's report. At 09:14 this morning, in six of twenty-two doors — while there is still something to do about it.
Six doors
below reorder point on two sizes — detected by rule, not by a buyer noticing.
Allocation, not demand.
The four fastest doors took the first drop and were never topped up.
84 units
from the three slowest doors — holds full price eleven more days.
4.2 points
of margin, given away in a markdown that did not need to happen.
Every door
on one board.
Financial
on plan
52.4%
Gross margin · season-to-date
MARKDOWN RATE 11.2%
Customer
▲ 3 pts
38%
Repeat purchase rate
CONVERSION 24.6%
Operational
at target
71.4%
Full-price sell-through
SIZE-CURVE HEALTH 88%
AI-Learning
▲ improving
92.8%
Demand forecast accuracy
MODELS LIVE 9
LIVE · ILLUSTRATIVE DATA — Lumière Mode is a demonstration brand, not a deployed client.
THE SAME BOARD, THREE LAYERS DEEPRules fire. Models predict.
Iris explains.
L1 · Zen Rules — deterministic thresholds Rule
| Rule | Threshold | Now | State |
|---|---|---|---|
| Gross margin · season-to-date | ≥ 48% | 52.4% | clear |
| Repeat purchase rate | ≥ 35% | 38% | clear |
| Full-price sell-through | ≥ 67% | 71.4% | clear |
| Demand forecast accuracy | ≥ 89% | 92.8% | clear |
L2 · Zen Models — what is predicted
| Model | Predicts | Accuracy |
|---|---|---|
| Size-curve drift | break risk by size | 93.4% |
| Sell-through | 8-week curve by style | 91.8% |
| Markdown timing | first-cut date | 90.2% |
L3 · Ask Iris — the same board, in words What just
What just moved?
Size break detected on 2 sizes, 6 doors — rule fired at 09:14.
Why, and what do I do?
Move 84 units from the three slowest doors — holds full price 11 more days.
One board, read three ways. The rule states the fact, the model states the risk, and Iris states the move — with the trade-off priced. Nobody has to assemble the three themselves.
Pick one. It opens
the real screen.
Sell-through by style, size-curve health and weeks-of-cover — every door on one board.
Balanced Scorecard
FOUR LENSES, LIVE
Point of Sale
LIVE TILL, IRIS UPSELL
Numerus · CFO
BALANCED, NOT ESTIMATED
Nexus · Supply Chain
FORECAST, PROCUREMENT, LOGISTICS
Motus · Operations
STANDARDS, ASSETS, ENERGY
Manus · Workforce
ROSTER, PAYROLL, COMPLIANCE
Zentallio Vision
FOOTFALL, QUEUES, SAFETY
Point of Sale
The till a sales associate runs all day — and the twelve core capabilities every Zentallio retail sector ships with, identically.
Size and style live at the till.
An associate can see cover across every door, so a lost sale becomes a transfer rather than a shrug.
Returns and exchanges are one flow.
Apparel returns at volume, and an exchange that fails to find the right size is a customer lost twice.
Iris upsells against the size curve.
The recommendation favours what is actually in stock in that customer's size, not what the planogram wishes were.
24.6%
Conversion, live
12
Core POS solutions, standard
LIVE TILL · IRIS UPSELL
FOUR LENSES, LIVEBalanced Scorecard
Financial, customer, operational and AI-learning on one live board — with Iris naming the style that just broke and the move that holds its price.
The fourth lens is the platform itself.
Forecast accuracy and models live are reported alongside margin, because a board that cannot audit its own AI is asking for trust it has not earned.
Every door, one definition.
180 stores report the same measures, so a comparison is real rather than approximate.
Iris names the style.
Not that sell-through dipped — which style, which sizes, which doors, and what the move is worth.
52.4%
Gross margin, season-to-date
92.8%
Demand forecast accuracy
FINANCE · L2
BALANCED, NOT ESTIMATEDNumerus · CFO
Trial balance, P&L, balance sheet and cash flow on a ledger that ties out to the penny — with season inventory valued as it actually sits, not as it was bought.
Inventory valued by age and cover.
Season-old stock at four weeks of cover is not worth what it cost, and the ledger says so before the auditor does.
Markdown provision is computed, not guessed.
The markdown-timing model feeds the provision, so the number has a basis.
Ask Iris for any number.
Any door, any style, any period — answered in the conversation rather than a week after close.
11.2%
Markdown rate, live
1
Ledger, till to close
CFO · BALANCED LEDGER
FORECAST, PROCUREMENT, LOGISTICSNexus · Supply Chain
Forecast to buy to allocation to the door — with the size curve carried through the whole chain rather than collapsed into a single unit count.
The buy is made in sizes.
A style bought on the wrong curve cannot be rescued by allocation, so the curve is decided at the buy.
Lead time is part of the decision.
Whether a break can be reordered or only reallocated changes the recommendation entirely.
Feeds allocation directly.
Receipts post into the allocation engine, so the nightly run works from what actually landed.
By size
Curve carried end to end
22
Doors in tonight's run
SUPPLY CHAIN
STANDARDS, ASSETS, ENERGYMotus · Operations
Store standards, visual merchandising compliance, assets and energy across 180 doors — completion tracked live, exceptions escalated.
Visual merchandising, evidenced.
A window set is completed with a photo against the guideline, not assumed from a distance.
Transfers are an operational routine.
A nightly allocation run only works if the sending door actually picks and ships it.
Exceptions escalate themselves.
The routine that didn't complete surfaces to a human; the rest stays quiet.
180
Stores, one standard
Exceptions
Surfaced, not every row
OPERATIONS
ROSTER, PAYROLL, COMPLIANCEManus · Workforce
Rostering, attendance, payroll and working-time compliance measured against forecast footfall — because in apparel, conversion is a staffing decision.
Staffed to conversion, not to footfall.
A door converting at 24.6% is limited by fitting-room service far more often than by traffic.
Peak weekends planned from the forecast.
Launch weekends and markdown events are demand events, and the roster treats them as such.
Flagged before the shift.
An understaffed Saturday is caught while the roster can still change.
24.6%
Conversion, live
Before
The shift, not after it
WORKFORCE
FOOTFALL, QUEUES, SAFETYZentallio Vision
The cameras you already have, reading the door, the fitting rooms and the till queue — because in apparel the sale is won or lost between the rail and the till.
Fitting rooms, measured.
Try-on volume linked to purchase by style — a fit problem separated from a demand problem.
Queues caught before walkouts.
Till queues read live, so the second till opens before the customer puts the coat back.
Safety and stock, watched.
After-hours stockroom entry and blocked exits flagged on the shift — anonymised, no faces stored.
34%
Try-on to buy, live
Before
The walkout, not after it
VISION
EVERY SOLUTION · APPAREL & READY-TO-WEAREvery solution,
on the real screen.
Grouped by what they act on. Pick one and it runs.
On the floor · 2 solutions — where stock sits,
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Allocation & replenishment rules
L1 · ZEN RULES · ROUTING
Core vs fashion mix control
L1 · DISTRIBUTION
Planning & margin · 4 solutions — what is modelled
Modelled early enough to act on, with the cause named and the move costed.
Size-curve break detection
L2 · SIGNAL GRID
Style sell-through forecast
L2 · MODEL TRACE
Markdown timing engine
L2 · DISTRIBUTION
Fitting-room conversion
L2 · DISTRIBUTION
Plus 12 core POS solutions, standard across every Zentallio retail sector — detailed later in this briefing.
L1
Iris · Intelligence layer 01How Iris enforces the rules.
Thresholds that fire on the shift the breach happens (the “Zen Rules” layer) — no model lag, no waiting for a report. Two solutions run on this layer, and both of them move stock.
TODAY · 09:14
RULE FIRED
Size break · AW-4412
M and L below reorder point in 6 of 22 doors. Detected at the threshold, not at the weekly review — which is the difference between a transfer and a markdown.
IRIS · L1 6 DOORS
Iris · L1 · Zen Rules 01 / 02Allocation & replenishment rules
Allocation / Allocation & replenishment rules · Lumière Mode
LIVE · ILLUSTRATIVE DATA
142
moves proposed
tonight 02:00
1,880
units
across 22 doors
86%
accepted
last 30 runs
1
held for review
breaks S at sender
Tonight's run — top moves From To Units Reason
| From | To | Units | Reason | State |
|---|---|---|---|---|
| Lille Grand Place | Paris Rue Cler | 38 | conv 2.1× | queued |
| Nantes Atlantis | Lyon Part-Dieu | 26 | conv 1.8× | queued |
| Rennes Colombia | Bordeaux Centre | 20 | breaks S | review |
| Toulouse Capitole | Lille Grand Place | 31 | conv 1.6× | queued |
| Other 138 moves | — | 1,765 | — | queued |
Rule state · L1 Zen Rules Min cover per door 2.4 /
Min cover per door
2.4 / 2.0 weeks
Run integrity at sender
141 / 142
Max moves per door / night
6 / 8
Transfer cost ceiling
$1.90 / $2.50
One move held — it would break S at the sender
Iris · what to do
The run is weighted by conversion, not depth — Lille holds the units but Paris sells M and L twice as fast. One move is held back because it would open an S gap at Rennes to close an M gap at Bordeaux; that trade is not worth making.
Release 141 moves Open the held move Hold until 06:00
Iris · L1 · Zen Rules 02 / 02Core vs fashion mix control
Two businesses share one shop floor. Core replenishes forever on a predictable curve; fashion has one life and no second chance. The rules that govern them cannot be the same rules.
Every style is classified core or fashion, and the classification decides which replenishment logic it obeys.
Core lines hold a continuous cover target; fashion lines run to a sell-through curve with a planned end.
Floor-space and allocation share between the two is governed as a rule, so a strong fashion drop cannot quietly starve the core basics that carry the margin.
Drift in the mix is surfaced per door, because a store that has become 70% fashion is a different business from the one that was planned.
Markdown exposure is computed on the fashion portion only, which is the number that actually threatens the season.
L1 · DISTRIBUTION
Two logics
One shop floor
Per door
Mix drift surfaced
Group — On the floor · “Where stock sits, moves and sells.”
L2
Iris · Intelligence layer 02How Iris predicts the season.
What is modelled before it lands (the “Zen Models” layer) — modelled early enough to act on, with the cause named and the move costed. Four solutions run on this layer.
Sell-through by week — Forecast vs Actual
Forecast Actual
Iris · L2 · Zen Models 01 / 04Size-curve break detection
Assortment / Size-curve break detection · Lumière Mode
LIVE · ILLUSTRATIVE DATA
6 / 22
doors breaking
M and L
84
units to move
3 slow doors
11 d
full-price runway
if moved today
4.2 pts
margin at risk
if markdown
Where AW-4412 is breaking
| Door | M | L | Cover | Status |
|---|---|---|---|---|
| Paris Rue Cler | 0 | 2 | 1d | gone |
| Lyon Part-Dieu | 1 | 3 | 2d | critical |
| Bordeaux Centre | 2 | 4 | 3d | thin |
| Lille Grand Place | 3 | 5 | 4d | thin |
| Other 18 doors | 14 | 19 | 11d | healthy |
Cover by size · group — reorder point 20
XS 18 / 20
S 14 / 20
M 3 / 20
L 4 / 20
XL 16 / 20
XXL 19 / 20
M and L below reorder point in 6 doors
Iris · what to do
The break is not spread — it concentrates in the four doors that took the first allocation, which sold through fastest and were never topped up. That pattern says allocation, not demand. Moving 84 units from the three slowest doors holds full price 11 more days; markdown instead costs 4.2 points.
Approve the 84-unit move Show the 4 doors Re-run allocation
Iris · L2 · Zen Models 02 / 04Style sell-through forecast
An eight-week curve per style, projected from its first days on the floor — so a style is known to be ahead or behind its curve while both are still recoverable positions.
The curve is projected per style and per door from early sell-through, comparable styles and the season's shape.
A style running ahead of curve is a reorder or a transfer decision; one running behind is a markdown clock starting.
The model trace is inspectable — which comparable styles, which signals, how much each contributed — because a buyer will not act on a number they cannot interrogate.
Forecast accuracy is reported on the board itself, currently 91.8%, so confidence in the number is calibrated rather than assumed.
The curve feeds allocation, markdown timing and the inventory provision, so all three work from one projection.
L2 · MODEL TRACE
91.8%
Model accuracy, 8-week curve
Inspectable
The trace, not just the number
Group — Planning & margin · “What is modelled before it lands.”
Iris · L2 · Zen Models 03 / 04Markdown timing engine
The first cut is the expensive one. Predicting when to take it — and how deep — is worth more than any subsequent decision in the season, because everything after it is recovery.
A first-cut date is predicted per style, currently at 90.2% accuracy, rather than fixed to a calendar week the whole estate shares.
Depth is modelled against remaining cover and residual demand, so the cut is deep enough to clear and no deeper.
Transfer is always evaluated first — on AW-4412, moving 84 units holds full price 11 more days against 4.2 points of margin lost to a cut.
Markdown is planned per door, since a style dead in Paris may still be full-price in Toulouse.
The engine feeds the accounting provision directly, so the markdown number in the ledger is the same one the buyer is working to.
L2 · DISTRIBUTION
90.2%
First-cut date accuracy
11.2%
Markdown rate, live
Group — Planning & margin · “What is modelled before it lands.”
Iris · L2 · Zen Models 04 / 04Fitting-room conversion
The fitting room is where apparel is actually sold or lost. A garment tried and not bought is the strongest signal in the store — and in most estates, the least recorded.
Try-on to purchase is measured per style and per size, which separates a fit problem from a demand problem.
A style that is tried often and bought rarely is a garment issue, not an allocation one — and no amount of transferring fixes it.
Requests for a size that was not on the floor are captured, which is the demand a stock report structurally cannot see.
Conversion by door is read against staffing, since fitting-room service is a labour decision more than a merchandising one.
The signal feeds back into the buy, so a fit failure is corrected in the next order rather than repeated at scale.
L2 · DISTRIBUTION
24.6%
Store conversion, live
Per size
Try-on to purchase
Group — Planning & margin · “What is modelled before it lands.”
L3
Iris · Intelligence layer 03 — liveAsk Iris
Not a screenshot — the actual agent, reading the same board the rules and models write to.
ASK IRIS — APPAREL & READY-TO-WEAR
Live Balanced Scorecard
0%
Full-price sell-through
0%
Gross margin STD
0%
Repeat purchase
0%
Forecast accuracy ▲
STANDARD ACROSS ALL NINE RETAIL SECTORSTwelve core POS solutions,
in every sector.
The sector solutions sit on top of these. They are not an upsell and they are not configured per customer — every Zentallio retail deployment ships with all twelve.
Checkout
Returns & exchange
Store credit
Tender & reconciliation
Tax
Discount governance
Customer capture
Loyalty
Offline resilience
Cash management
Shift close
Audit trail
HOW IT'S IMPLEMENTEDImplementation,
run by Iris.
You configure a sector playbook, not a custom project. Iris applies it herself — agentically, from day one.
Onboarding is agentic.
Iris connects the till, the product hierarchy and the size curve directly — no manual data mapping.
Rules go live before the models do.
L1 thresholds work from day one; the L2 models earn their accuracy over the first season and report it on the board.
Live in weeks, learning from day one.
Go-live is a configuration, not a project plan.
Support starts
with Iris.
The first line of support is agentic — Iris resolves most of it herself. Our engineers pick up from there.
Layer 1 — Iris, 24/7.
Configuration questions, anomalies and routine issues resolved directly, instantly.
Layer 2 — our engineers.
Anything Iris can't close escalates automatically to a Zentallio engineer.
No blank tickets.
Every escalation arrives with Iris's own diagnosis — engineers start from an answer.
Transfer before markdown.
Breaks caught
on the shift
Not in next week's report
Cause named,
not just flagged
Allocation vs demand, separated
The move,
costed
Days of runway against margin points
Forecast accuracy
on the board
The AI audits itself in public
Modelled outcome figures for this sector were not included in the source page. When supplied they replace these four cards and carry the standard disclaimer: modelled from pilot assumptions & comparable benchmarks — not yet a deployed-client result. All screen data shown in this briefing is labelled live & illustrative.
WHERE IT LEAKS, HOW IRIS RESPONDSWhere the season
gives away its margin.
Where it leaks 01 The fastest doors take the first
The fastest doors take the first drop, sell through, and are never topped up — so the best sellers break first.
A break read as demand rather than allocation, answered with a markdown that was never necessary.
A first cut taken on a calendar week the whole estate shares, regardless of what each style is doing.
How Iris responds L1 Thresholds fire on the shift
Thresholds fire on the shift the breach happens, and a move that would break a size at the sender is held for review.
Size-curve drift, sell-through and first-cut date are modelled at 90–93% accuracy, reported on the board.
“Why, and what do I do?” — answered with the cause, the move and what the alternative costs.
11 days
of full price held on AW-4412 by moving 84 units — against 4.2 points of margin given away by cutting instead.
ONE PLATFORM, TWO LINESThe same spine,
a different floor.
Apparel & Ready-to-Wear is the first of nine Fashion Retail sectors. The layers, the seven products and Iris herself are the same ones running across ten Food & Beverage sectors.
Apparel & Ready-to-Wear
THIS BRIEFING
+ 8 further sectors
SAME THREE LAYERS
12 core POS solutions
STANDARD IN ALL NINE
01 Quick Service 02 Casual Dining 03 Fine Dining 04 Café & Bakery 05 Ice Cream & Desserts 06 Beverages & Drinks 07 Health & Wellness 08 Cloud Kitchen 09 Institutional & B2B 10 Niche & Experience
Let's put Iris
on your floor.
Book a call with our consultant — a pilot walkthrough on your own doors, your own season.
INFO@ZENTALLIO.COM
+92 327 000 0901 · +1 929 419 2694 · zentallio.com · 142-C, D.H.A. Commercial Broadway, DHA Phase 8, Lahore 54940
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