Fashion Retail
Nine fashion retail sectors, 49 store formats. Flagship solutions and sector-specific AI, configured per format.
9 sectors, one AI — configured per format.
Size-curve break detection
Iris spots a style running out on the sizes that actually sell, weeks before the shelf looks empty, and proposes the transfer.
Style sell-through forecast
Predicts eight-week sell-through from the first ten days of trade, so buys and re-cuts happen while there's still time.
Markdown timing engine
Recommends the first cut date per style, per store — protecting full-price sell-through instead of blanket-discounting the season.
Allocation & replenishment rules
Pushes stock to the door that sells it, not the door that ordered it. Runs nightly, no planner intervention.
Fitting-room conversion
Zen AI Vision links try-on volume to purchase by style — separating a fit problem from a demand problem.
Core vs fashion mix control
Holds basics availability at target while fashion lines rotate, so the never-out-of-stock lines never go out of stock.
Pick one. It opens the real screen.
Sell-through by style, size-curve health and weeks-of-cover — every door on one board.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
STYLE AW-4412 · BREAKING ON M / L IN 6 STORES
“Move 84 units from the three slowest doors — holds full price 11 more days.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Size and colour matrix at the till, barcode or RFID, exchange and store credit without leaving the sale.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
Last M in this store. Offer the L in Store 09 — reserve-and-collect.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Style-level gross margin after markdown, freight and returns.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
TWO POS THREATEN THE WEEK-31 FLOOR SET
Coimbatore is four weeks late on the Oxford shirt and it is the only PO feeding the week-31 floor set. Air-freighting the first 2,000 costs $4,100 and saves a nine-day hole on the wall — the balance can come by sea.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
ONE DETACHER OUT OF SERVICE — SHRINK EXPOSURE
Lille has run two days with the tag detacher out, and its shrink is already 0.4 points above estate. That is not a coincidence — the fix is a same-day engineer call, not a stock recount.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
SATURDAY IS THE ONLY DAY THAT BREAKS
Seven shifts are open and five of them are Saturday peak — the hours that convert. Lyon is two down on the day it takes 19% of its week. Offering the shifts to trained staff in Bordeaux costs travel but holds conversion.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
LYON IS LOSING SALES AT THE TILL, NOT ON THE FLOOR
Lyon converts browsers as well as Paris — then 7 people wait over four minutes at a single open till between 17:00 and 18:30. Opening the second till for that window recovers an estimated 14 sales a day.
Where stock sits, moves and sells.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Allocation & replenishment rulesL1 · Zen Rules
Pushes stock to the door that sells it, not the door that ordered it. Runs nightly, no planner intervention.
ONE MOVE HELD — IT WOULD BREAK S AT THE SENDER
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.
Core vs fashion mix controlL1 · Zen Rules
Holds basics availability at target while fashion lines rotate, so the never-out-of-stock lines never go out of stock.
CORE WAS 62% TWELVE WEEKS AGO
Fashion has drifted from 38% to 49% of units in twelve weeks, and the two core lines below the floor are the ones that funded it. Grey marl has nothing on order at 2.2 weeks of cover — it will breach inside a fortnight.
What is modelled before it lands.
Modelled early enough to act on, with the cause named and the move costed.
Size-curve break detectionL2 · Zen ModelsAI
Iris spots a style running out on the sizes that actually sell, weeks before the shelf looks empty, and proposes the transfer.
M AND L BELOW REORDER POINT IN 6 DOORS
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.
Style sell-through forecastL2 · Zen ModelsAI
Predicts eight-week sell-through from the first ten days of trade, so buys and re-cuts happen while there's still time.
NEW COLOURWAYS CARRY THE WHOLE ERROR BAND
The shortfall is one colourway, not one style — ecru projects 52% while the identical body in navy projects 81%. That is a colour call, not a design call. Re-cutting navy against the ecru buy lands the season on plan without touching the range.
Markdown timing engineL2 · Zen ModelsAI
Recommends the first cut date per style, per store — protecting full-price sell-through instead of blanket-discounting the season.
EVERY WEEK OF DELAY ADDS ~4 POINTS OF DEPTH
Ecru is the one that cannot wait. At day 22 a 15% cut clears the balance; at day 36 it needs 30% and gives back 4.2 points. The other three are still inside their window — cutting them now would spend margin you do not need to spend.
Fitting-room conversionL2 · Zen ModelsAI
Zen AI Vision links try-on volume to purchase by style — separating a fit problem from a demand problem.
SIZING CITED 3× MORE THAN THE RANGE AVERAGE
AW-3390 pulls the second-highest traffic in the range and converts worst — 290 try-ons, 52 sales. More than half the returns cite the shoulder. That is a block problem on one body, and no amount of allocation will fix it.
Promise-date risk scoring
Every open order scored against real atelier capacity — slippage surfaces while it's still recoverable, not at the fitting.
Measurement & fit profile
Every alteration writes back to the customer's file, so the second order fits better than the first.
Atelier & karigar capacity planning
Loads work by skill and stage, not by headcount — embellishment, cutting and finishing planned separately.
Appointment & consultation studio
Booking, stylist assignment, prep list and no-show recovery, with the trial-room calendar as the constraint.
Unstitched & lawn drop planning
Design-run sizing and per-city allocation for volume drops, modelled on last season's sell-out curve.
Deposit, instalment & cancellation control
Exposure tracked per order, with rules on what's refundable at which stage of production.
Ask Iris · order book
“Which bridal orders are at risk this month and why?” — answered in a sentence, with the orders listed.
Pick one. It opens the real screen.
Order-book value, atelier load, promise-date risk and deposit exposure in one view.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
WEEK 34 · 4 BRIDAL ORDERS ON THE SAME TWO KARIGARS
“Move embellishment on two orders now — every promise date holds.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Deposit and instalment capture, measurement profile attached to the customer, alteration ticket raised at the counter.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
Deposit 40% takes this to production. Fitting 2 clashes with the atelier's peak week.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Job-level costing: fabric, karigar, embellishment and alteration against the quoted price.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
TRIM HELD AT CUSTOMS BLOCKS 4 BRIDAL ORDERS
The Swarovski trim has sat nine days in customs and four week-34 bridal orders cannot finish without it. Substituting the domestic equivalent on two of them protects the promise dates; the other two are photographed pieces and cannot change.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
ZARI TARNISHES ABOVE 55% RELATIVE HUMIDITY
Atelier humidity has held above 55% for six days. Zari and tissue tarnish at that level, and the pieces in stage are the highest-value in the book. This is a dehumidifier call today, not a QC problem next month.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
ZARDOZI IS THE CONSTRAINT ON 4 OF 12 ORDERS
Capacity here is a skill, not a headcount. One zardozi karigar is on leave from Thursday and four orders in stage need that hand. Cross-training is at 46% — the same gap caused the week-29 slip.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
TRIAL ROOM 2 IS THE BOTTLENECK ON SATURDAYS
Bridal consultations in trial room 2 run 48 minutes against a 40-minute slot, and walk-ins wait while it is occupied. Moving fittings with three or more garments to room 3 frees the slot without adding staff.
Every open order, stage by stage.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Measurement & fit profileL1 · Zen Rules
Every alteration writes back to the customer's file, so the second order fits better than the first.
EACH ALTERATION ROUND COSTS ~6 ATELIER HOURS
A. Sheikh’s file is at v4 — the shoulder and fall were adjusted in 2023 and never reverted. Applying it to BR-2291 removes an expected fitting round, which is six atelier hours in the week zardozi is already over-committed.
Appointment & consultation studioL1 · Zen Rules
Booking, stylist assignment, prep list and no-show recovery, with the trial-room calendar as the constraint.
ROOM 3 HAS CAPACITY FROM 14:00 — ROOM 2 HAS NONE
N. Tariq has missed the last two appointments and holds the 15:30 slot in the fully-booked room. Moving that booking to Room 3 and releasing 15:30 to the waitlist converts a probable no-show into a real consultation — worth roughly one bridal enquiry.
Deposit, instalment & cancellation controlL1 · Zen Rules
Exposure tracked per order, with rules on what's refundable at which stage of production.
EXPOSURE IS PER ORDER, NOT PER CUSTOMER
BR-2264 is fourteen days past its instalment and already in embellishment — refundability has dropped to 40% while the balance owed is 180k. Every day it moves forward the exposure grows. Collect before finishing starts, or pause the work.
What the book says before the fitting.
Modelled early enough to act on, with the cause named and the move costed.
Promise-date risk scoringL2 · Zen ModelsAI
Every open order scored against real atelier capacity — slippage surfaces while it's still recoverable, not at the fitting.
ZARDOZI OVER-COMMITTED BY 38 HOURS
All four at-risk orders route through one stage and one pair of hands — zardozi, over-committed by 38 hours. This is not four problems, it is one. Moving the embellishment on BR-2291 and BR-2288 to the contract karigar clears the stage and every promise date holds.
Atelier & karigar capacity planningL2 · Zen ModelsAI
Loads work by skill and stage, not by headcount — embellishment, cutting and finishing planned separately.
ONE KARIGAR ON LEAVE FROM THURSDAY
Three of four zardozi hands are available and 42% of the committed hours sit on bridal — the highest-value, least-movable orders in the book. Cross-training is at 46%; the same gap caused the week-29 slip. A contract hand for three days costs less than one late handover.
Unstitched & lawn drop planningL2 · Zen ModelsAI
Design-run sizing and per-city allocation for volume drops, modelled on last season's sell-out curve.
ISLAMABAD CLEARED IN A THIRD OF LAHORE’S TIME
Drop 07 is sized on the national curve, but Islamabad cleared drop 06 in 36 hours and has been cut by 2,000 units. That city is not small, it is under-served — shifting 2,000 from Lahore matches where the demand actually was.
Ask Iris · order bookL3 · Ask IrisAI
“Which bridal orders are at risk this month and why?” — answered in a sentence, with the orders listed.
NO EXPORT, NO NIGHTLY BATCH — THE SAME BOOK THE ATELIER WORKS TO
Asked plainly, the answer is four orders, all week 34, all zardozi. Asked as a what-if, adding one contract hand for three days clears every one of them — and Ask Iris priced it before anyone opened a spreadsheet.
Age-band demand forecast
Forecasts by age band rather than size code, because a 4-year-old and a size 4 are not the same customer.
School-season readiness
Uniform size packs per school, tracked against the intake calendar weeks ahead of the rush.
Growth-cycle repeat prediction
Predicts when a family comes back a size up — and prompts the offer before they go elsewhere.
Gifting & occasion spike planning
Models the Eid, birthday and holiday spikes that make kidswear demand lumpy.
Safety & compliance traceability
Batch and lot traced back to supplier, so a recall is a query, not an investigation.
Maternity-to-newborn journey
Links the maternity customer to the newborn customer — one household, one lifecycle, one loyalty record.
Pick one. It opens the real screen.
Age-band sell-through, school-season readiness and repeat-family rate.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
3 SCHOOLS · UNIFORM PACKS 19 DAYS BEHIND LAST YEAR
“Pull the reorder forward now — clears intake week without airfreight.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Gift receipts, sibling bundles and school-list checkout that scans the whole list in one go.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
This family bought Age 7-8 last August. Age 9-10 is the right size-up.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Season-block margin — back-to-school, Eid, winter — costed separately, not averaged.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
INTAKE WEEK IS FIXED — THE CALENDAR WILL NOT MOVE
Grammar Yr 7 is three weeks late against a date that cannot move. Intake is the one week of the year this category cannot recover. Pulling the reorder forward now clears it without airfreight; waiting a fortnight will not.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
TWO RECALL SKUS STILL SELLABLE ON THE FLOOR
Two SKUs under supplier recall are still scannable at the till in Store 03. The batch traces to one lot delivered in week 24. Blocking the barcode estate-wide takes effect on the next till sync — do it before Saturday.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
INTAKE WEEK NEEDS 40% MORE FLOOR THAN A NORMAL WEEK
Store 11 is two down going into intake week, the week it does 22% of its annual volume. Seasonal cover booked now costs less than the queue-walkouts it prevents — last year that store lost 14% of intake-week footfall to waiting.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
INTAKE-WEEK QUEUES ARE WALKING OUT OF STORE 06
Store 06 has nine families queuing over six minutes at a single till, and the camera counts 11 walkouts since 10:00. A pre-packed size-pack lane for the two biggest schools clears most of the queue without a second till.
Lists, packs and families in front of you.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
School-season readinessL1 · Zen Rules
Uniform size packs per school, tracked against the intake calendar weeks ahead of the rush.
NEARLY HALF THE SEASON TRADES IN ONE WEEK
Two schools are three weeks behind on a date that cannot move, and intake week is 46% of the season. There is no recovery window after it — last year the same gap cost 14% of intake footfall to queue walkouts. Pull both reorders forward now and it clears without airfreight.
Safety & compliance traceabilityL1 · Zen Rules
Batch and lot traced back to supplier, so a recall is a query, not an investigation.
ALL SEVEN TOOK THE SAME WEEK-24 DELIVERY
The recall traces to one supplier and one delivery week, not to a product line — 318 units across seven stores, all Tirupur, all week 24. The alternative supplier’s identical SKU is unaffected and can stay on the floor. Block the three lot barcodes before Saturday.
Maternity-to-newborn journeyL1 · Zen Rules
Links the maternity customer to the newborn customer — one household, one lifecycle, one loyalty record.
THE LINK IS WORTH MORE THAN EITHER PURCHASE
Two hundred and fourteen purchases carry no household link at all, and nursing — the stage that bridges the two — links at only 44%. A linked household is worth 3.2× an unlinked one. The capture point is the nursing purchase, and it is the one the till does not ask about.
What the calendar is about to do.
Modelled early enough to act on, with the cause named and the move costed.
Age-band demand forecastL2 · Zen ModelsAI
Forecasts by age band rather than size code, because a 4-year-old and a size 4 are not the same customer.
THE BAND DID NOT SHRINK — IT AGED
Age 9–10 is not losing customers, it is losing them upward — 4,600 families moved into 11–14, which is over-selling by 16% on a smaller buy. The two variances are the same children. Rebalancing the buy between the bands fixes both numbers at once.
Growth-cycle repeat predictionL2 · Zen ModelsAI
Predicts when a family comes back a size up — and prompts the offer before they go elsewhere.
CAPTURE COLLAPSES WHEN THE CHILD STARTS CHOOSING
Capture does not decay with time, it decays with who makes the decision — 74% while the parent buys, 38% once the child chooses. The prompt is still addressed to the parent in every band. For 9+ the offer has to reach the child, or it will keep leaking.
Gifting & occasion spike planningL2 · Zen ModelsAI
Models the Eid, birthday and holiday spikes that make kidswear demand lumpy.
THE WEEK AFTER IS QUIETER THAN A NORMAL WEEK
Eid moves by up to two days against the lunar calendar and the peak is 3.4× baseline over nine days — a normal safety-stock rule cannot absorb that. It also borrows from the week after, which runs at 0.6×. Plan the pair as one block, not two weeks.
Drop & launch allocation
Allocates a limited release to the doors that will actually clear it, using conversion rather than store rank.
Limited-release demand modelling
Sizes the buy for a release from pre-registration, traffic and prior-drop behaviour.
Technical size & fit guidance
Fit rules per silhouette and activity, applied at the till and online — fewer returns for the wrong reason.
Team & club bulk orders
Names, numbers, size sheets and staged delivery handled as one order, not thirty.
Brand-partner rebate reconciliation
Reconciles sell-through claims and co-op spend against contract terms automatically.
Training-cycle re-order prediction
Predicts the replacement cycle for shoes and kit per member, and times the prompt to it.
Pick one. It opens the real screen.
Drop sell-out rate, brand-partner sell-through and full-price ratio.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
FRIDAY DROP · OVER-ALLOCATED TO 2 FLAGSHIP DOORS
“Reallocate 140 pairs — clears the drop inside 48 hours.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Limited-release checkout with serialised items, member pricing and club orders taken at the counter.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
Member pricing applies — and this customer's last pair is 11 months old.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Brand-partner margin after rebate, co-op marketing and returns.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
A DROP THAT LANDS LATE IS A DROP THAT DOES NOT HAPPEN
The Runner Pro lands five days before its own launch with no float, and it is the release carrying 1,840 registrations. A drop date cannot slip — it is marketed. Air the first 400 to protect the launch and let the balance follow by sea.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
FOUR DOORS TAKE THE DROP — TWO ARE NOT READY
Shoreditch is the highest-converting door on this product and has no queue plan filed two days out. A launch that turns into a crowd incident costs more than the drop earns. This is a Friday-morning problem being left to Friday.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
THE BEST-CONVERTING DOOR IS THE LEAST STAFFED
Shoreditch is three down on launch day — the door that converts this product at 4.2% against an estate average of 1.8%. Understaffing your best door on the one day that matters is the most expensive gap on this board.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
140 PEOPLE QUEUING FOR 96 PAIRS AT SHOREDITCH
The camera counts 140 people outside Shoreditch for 96 pairs of DR-118. Switching to a raffle at the door now avoids a crowd-safety problem and 44 people queuing for a pair that is not there.
What is releasing, and where it clears.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Technical size & fit guidanceL1 · Zen Rules
Fit rules per silhouette and activity, applied at the till and online — fewer returns for the wrong reason.
GUIDANCE HALVES THE RETURN RATE WHERE IT EXISTS
The evidence is already in your own data — silhouettes with fit guidance return at 10.1%, those without at 24.6%. Compression is the worst line you sell and has no guidance at all. This is not a modelling problem; it is two silhouettes missing a rule.
Team & club bulk ordersL1 · Zen Rules
Names, numbers, size sheets and staged delivery handled as one order, not thirty.
THE DELAY IS THE CUSTOMER, NOT THE PRINTER
Nearly half the turnaround is waiting on size sheets, not production — four clubs are blocking 1,240 units between them. A self-serve sheet the club captain fills in removes 4.1 days from every order without touching the print queue.
Brand-partner rebate reconciliationL1 · Zen Rules
Reconciles sell-through claims and co-op spend against contract terms automatically.
CO-OP EVIDENCE IS THE ONLY THING MISSING
Partner C’s £31k is complete except for three co-op assets — the window closes in four days and unclaimed rebate does not roll forward. The assets exist; they were run in-store and never uploaded. This is an admin miss about to become a real cost.
What the buy should have been.
Modelled early enough to act on, with the cause named and the move costed.
Drop & launch allocationL2 · Zen ModelsAI
Allocates a limited release to the doors that will actually clear it, using conversion rather than store rank.
THE TWO BIGGEST DOORS CONVERT WORST ON THIS PRODUCT
The drop is allocated by store size, not by who buys this product. Westfield and Trafford hold 41% of the units on 18% of the conversion, while Shoreditch and Camden will clear everything they are given in hours. Moving 140 pairs to the four streetwear doors lifts sell-out to 89% inside 48 hours.
Limited-release demand modellingL2 · Zen ModelsAI
Sizes the buy for a release from pre-registration, traffic and prior-drop behaviour.
STILL CLIMBING WITH ONE DAY LEFT — NOT YET PLATEAUED
The Runner Pro has 1,840 registrations against a 900-unit buy and the curve has not plateaued. Everything above 900 becomes resale margin for someone else. The Studio Fleece is the mirror image — 1,400 bought against 180 registrations.
Training-cycle re-order predictionL2 · Zen ModelsAI
Predicts the replacement cycle for shoes and kit per member, and times the prompt to it.
THE PROMPT ONLY LANDS IF THE CYCLE IS OBSERVABLE
Capture tracks observability, not loyalty — members who log mileage re-order at 63%, those who do not at 19%. Studio and court have no mileage signal at all, which is why they leak. For those two, the cycle has to come from purchase history instead.
Size-run integrity
Flags the hole in a run the day it appears — the sale you never see is the one this catches.
Article sell-through forecast
Predicts the eight-week curve from the first ten days, so the re-cut happens while the season still has room.
Single-pair transfer engine
Moves one pair to the door with the customer standing in it, and keeps the run intact at both ends.
Fit & return-reason learning
Reads why pairs come back — width, length, comfort — and feeds it into the next buy and the size guidance.
Release & resale-pressure demand
Reads secondary-market signal on sneaker releases to size the buy and set the allocation.
Box, shelf & stockroom locator
Where the box actually is, so the floor staff stop losing the sale to a five-minute search.
Pick one. It opens the real screen.
Size-run completeness, pairs per hour and full-price sell-through by door.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
9 ARTICLES · MISSING THEIR TWO BEST-SELLING SIZES
“Fill those runs first — worth more than the new intake.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Barcode or box-label scan, try-on capture, exchange and store credit without leaving the sale.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
UK 8 not on floor — Door 11 has it. Reserve-and-collect keeps the sale.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Category margin after markdown, freight and the returns that footwear generates more of than anything else.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
INTAKE ARRIVES WITH THE RUN ALREADY BROKEN
The bigger problem is not lateness — 12% of intake arrives with the size curve already broken at the factory. You are receiving runs you then have to repair by transfer. Holding the factory to the curve on receipt is cheaper than 29 transfers a day.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
TWO HIGH-VALUE PAIRS ON THE FLOOR UNTAGGED
Manchester has two untagged high-value pairs on an open wall and its shrink is 0.3 points above estate. Untagged plus open display is the exact pattern that precedes a loss — tag them before close, not at next stocktake.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
FIT SERVICE IS WHAT CUTS THE RETURN RATE
Only 78% of the floor is fit-service trained, and the doors below that average return 4 points more. Training is not a nice-to-have here — with returns at 18.4% it pays for itself faster than any allocation change.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
CUSTOMERS WAIT AT THE BENCH, NOT AT THE TILL
At Oxford Street customers sit at the fitting bench for 18 minutes waiting for a size to be fetched, and a third leave before trying on. One runner on the stockroom door between 12:00 and 15:00 halves the wait.
Every run, every box, every door.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Size-run integrityL1 · Zen Rules
Flags the hole in a run the day it appears — the sale you never see is the one this catches.
THE TWO BROKEN SIZES ARE 46% OF ALL PAIRS SOLD
Nine articles are out of UK 8 and 9 — the two sizes that are 46% of everything you sell. The run looks 92% complete because the count is dominated by sizes nobody buys. Filling these runs first is worth more than this week’s entire new-arrival intake.
Single-pair transfer engineL1 · Zen Rules
Moves one pair to the door with the customer standing in it, and keeps the run intact at both ends.
ELEVEN MOVES WOULD CLOSE ONE GAP BY OPENING ANOTHER
Eleven of the twenty-nine requests close a gap at the receiver by opening one at the sender — a straight swap of which customer walks. Manchester is the clearest: it is the last UK 8 on that wall. Source those eleven from the DC instead, even at two days.
Box, shelf & stockroom locatorL1 · Zen Rules
Where the box actually is, so the floor staff stop losing the sale to a five-minute search.
BAY LOCATION IS THE DRAG, NOT THE WALK
Oxford Street takes 6:20 to find a pair and fails 19% of the time, and three of those minutes are spent locating the bay — the stockroom map has drifted from what is actually on the shelves. A re-map is half a day of work against roughly £19k of walkouts a period.
What the numbers say to buy next.
Modelled early enough to act on, with the cause named and the move costed.
Article sell-through forecastL2 · Zen ModelsAI
Predicts the eight-week curve from the first ten days, so the re-cut happens while the season still has room.
FORMAL IS 11% OF THE BUY AND 100% OF THE MISS
The shortfall is one category, not one article — formal projects 44% while everything else is at or ahead of plan. Office footfall has not returned to these doors. Cutting the formal balance and moving it into boot, which is running ahead, lands the season on plan.
Fit & return-reason learningL2 · Zen ModelsAI
Reads why pairs come back — width, length, comfort — and feeds it into the next buy and the size guidance.
THREE ARTICLES SHARE LAST A
The fit returns are not spread across the range — 54% trace to a single last, and the three articles built on it all run narrow. That is a factory spec issue, not a customer sizing issue. Publishing “take a half size up” on those three cuts returns without touching the buy.
Release & resale-pressure demandL2 · Zen ModelsAI
Reads secondary-market signal on sneaker releases to size the buy and set the allocation.
CURVE STILL CLIMBING WITH ONE DAY LEFT
The court retro is carrying a 2.4× resale premium against a 900-pair buy and 1,840 registrations — it will clear in under three hours and the rest of the demand goes to resellers, not you. The kids velcro is the mirror image: 1,400 bought against 90 registrations.
Batch, expiry & shelf-life control
Nothing sells past its date and nothing sits past its margin — flagged in weeks, not at write-off.
Shade-curve demand
Which shades break first, by store and season, so the foundation wall is planned like a size curve.
Tester & sampling consumption
The cost of testers counted per counter and per line, rather than quietly absorbed into gross margin.
Replenishment cycle prediction
When a customer actually runs out, and the prompt timed to land before they buy elsewhere.
Counter & concession settlement
Brand splits, BA commission and consignment runs calculated per contract, every cycle.
Ingredient & recall traceability
Batch traced back to supplier, so a recall or a claim is a query rather than an investigation.
Pick one. It opens the real screen.
Repeat-purchase rate, shade availability, expiry exposure and counter productivity on one board.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
2 SKINCARE BATCHES · EXPIRE IN 38 DAYS, IN THE 3 SLOWEST DOORS
“Move them now — clears at full price instead of a write-off.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Batch and expiry captured at the till, counter and BA attribution, sampling logged against the sale.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
Her serum was bought 47 days ago. This is the refill week.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Margin after tester consumption, expiry write-off, BA commission and concession settlement.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
INTAKE IS ARRIVING WITH FIVE MONTHS ALREADY GONE
Fragrance is held on IATA dangerous-goods paperwork, but the bigger issue is quiet: stock is arriving with only 19 of 24 months of shelf life. You are buying five months of someone else’s ageing, and it lands as your write-off.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
ACTIVES DEGRADE ABOVE 8 °C — VITAMIN C FASTEST
Lafayette’s actives fridge has run above 8 °C for two days, and the vitamin C ampoules in it are the shortest-dated line you carry. Degraded actives do not look degraded — they just stop working, and the complaint arrives six weeks later.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
CERTIFIED BAS SELL 1.6× THE BASKET
Only 73% of BAs hold current brand certification, and certified counters run a 1.6× basket. Lafayette is two down on Saturday and below certification — it is losing on both counts at once, on the day that carries the week.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
SELFRIDGES COUNTER WAS UNATTENDED AT PEAK
The Selfridges counter has been unattended for 11 minutes while 46 shoppers stopped and left. Beauty-advisor breaks are scheduled on top of the 13:00 peak — moving one break by 30 minutes covers it.
Shades, testers and the customer in front of you.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Batch, expiry & shelf-life controlL1 · Zen Rules
Nothing sells past its date and nothing sits past its margin — flagged in weeks, not at write-off.
THE SLOWEST COUNTERS HOLD THE SHORTEST DATES
Two batches have less than the cover they need to sell through — 38 days of life against 91 days of stock. Worse, they sit in the three slowest counters. Moved to KaDeWe and Selfridges, which turn skincare twice as fast, both clear at full price instead of becoming a write-off.
Tester & sampling consumptionL1 · Zen Rules
The cost of testers counted per counter and per line, rather than quietly absorbed into gross margin.
MORE SAMPLES DOES NOT MEAN MORE REPEAT PURCHASE
KaDeWe hands out 9.1 testers per sale against an estate average of 4.0 — and returns the lowest repeat rate of the four. Sampling is not buying loyalty there, it is leaking £6,200 a period. Cap it at 6 and the margin comes back with no measurable cost.
Counter & concession settlementL1 · Zen Rules
Brand splits, BA commission and consignment runs calculated per contract, every cycle.
36 ORDERS AND 2 COUNTS STAND BETWEEN YOU AND FRIDAY
Thirty-six orders on Concession B have no brand allocation, and all of them came through the shared till on the same two days — a mapping gap, not a data-entry problem. Fix the till mapping and Friday’s run clears; leave it and the whole £390k line settles late.
Ingredient & recall traceabilityL1 · Zen Rules
Batch traced back to supplier, so a recall or a claim is a query rather than an investigation.
ALL FOUR TOOK THE SAME TWO WEEK-24 DELIVERIES
The advisory traces to one supplier and two delivery weeks, not to a product line — 214 units across four counters, all from Grasse. Blocking the three batch barcodes takes effect at the next till sync; the alternative supplier’s stock is unaffected and can stay on the wall.
Batches, expiry and what it costs.
Modelled early enough to act on, with the cause named and the move costed.
Shade-curve demandL2 · Zen ModelsAI
Which shades break first, by store and season, so the foundation wall is planned like a size curve.
DEEP SELLS TO PLAN WHERE IT IS ACTUALLY STOCKED
The deep range is not under-selling, it is under-distributed — only 31 of 63 counters carry the full set, and where they do it hits plan. 22N is out in 14 counters while 04C sits on 9.8 weeks of cover. That is an allocation decision made on the wrong data.
Replenishment cycle predictionL2 · Zen ModelsAI
When a customer actually runs out, and the prompt timed to land before they buy elsewhere.
THE PROMPT IS ARRIVING FOUR DAYS AFTER THEY RUN OUT
The model knows the cycle — the prompt is simply late. It lands four days after run-out, when capture has already fallen from 71% to under 40%. Moving the trigger seven days earlier is a scheduling change, not a modelling one, and it is worth roughly 19 points of refill capture.
Roll, lot & dye-batch traceability
Shade continuity guaranteed across a cut — the complaint that ends a customer relationship, prevented.
Cut-length yield & remnant recovery
Tracks wastage per cut and turns remnants into a priced, sellable line instead of a bin.
Design-run & colourway planning
Sizes each run and colourway against last season's actual sell-through, not the buyer's memory.
Cutting-table productivity
Metres cut, wastage and queue time per table and per branch, so a bad table shows up as a number.
Seasonal & festive drop planning
Plans the volume drops — lawn, festive, winter — that make or break the textile year.
Mill-to-outlet clearance routing
Moves slow lots and end-of-run stock to the channel that clears them without damaging the main line.
Pick one. It opens the real screen.
Metre-level sell-through, cut wastage and roll ageing — by branch and by cutting table.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
PREMIUM SUITING · WASTAGE 4.1% ABOVE COUNTER AVERAGE
“Re-brief that table — recovers the yield inside a fortnight.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Cut-length pricing, roll and lot tracking, and remnant handling done at the counter, not in a notebook.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
Lot D-118 has 6.2 m left. Cutting 4.5 m leaves an unsellable 1.7 m.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Yield and wastage costed per roll and per lot, so gross margin means something.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
ONE IN FIVE LOTS FAILS SHADE APPROVAL FIRST TIME
The velvet was rejected on shade and the lawn is on a dye rerun — 22% of lots fail first-pass approval, and each failure adds three weeks. Approving against a physical standard at the mill rather than on receipt removes the rerun entirely.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
UNPRICED REMNANTS ARE STOCK YOU CANNOT SELL
Only 61% of remnants are priced and logged — the rest sit in bins as invisible stock. At £8,400 of recoverable value that is not a housekeeping issue, it is working capital sitting on the floor.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
CUTTING IS A SKILL — AND THE QUEUE IS WHERE SALES ARE LOST
Branch 07 is two down at peak and only 57% of staff are cut-trained — which is exactly why its queue hits fourteen minutes and conversion falls to 54%. Training here shows up as revenue, not as cost.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
THE CUT COUNTER, NOT THE TILL, CAPS BRANCH 07
Branch 07 has a 14-minute queue at one cutting table while the second sits idle without a cutter. Moving the floor assistant to table 2 from 11:00 clears the festive peak without overtime.
Rolls, cuts and remnants as they happen.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Roll, lot & dye-batch traceabilityL1 · Zen Rules
Shade continuity guaranteed across a cut — the complaint that ends a customer relationship, prevented.
ANYTHING ABOVE ΔE 1.5 SHOWS UNDER SHOWROOM LIGHT
Two cuts today span lots with measurable shade drift above tolerance — a suiting order at ΔE 3.1 will show as two different fabrics once it is made up. The customer will not see it in the shop; they will see it at the first fitting, and by then the cloth is cut.
Cutting-table productivityL1 · Zen Rules
Metres cut, wastage and queue time per table and per branch, so a bad table shows up as a number.
CUSTOMERS WALK AT THE CUT COUNTER, NOT THE DOOR
Branch 07 Table 1 is both the slowest and the most wasteful, and its 14-minute peak queue drops conversion to 54%. The table beside it, same branch, same day, runs at 3.4% waste and six minutes. This is one table and one operator, not a branch problem.
Mill-to-outlet clearance routingL1 · Zen Rules
Moves slow lots and end-of-run stock to the channel that clears them without damaging the main line.
THE OUTLET CLEARS FOUR TIMES FASTER THAN THE MAIN LINE
Sixteen lots route cleanly to the outlet. Two do not — W-560 would split a dye lot across two channels, and L-409 is still selling at full price in branches, so clearing it would undercut your own line. Route the sixteen tonight and hold those two.
Runs, lots and where they should go.
Modelled early enough to act on, with the cause named and the move costed.
Cut-length yield & remnant recoveryL2 · Zen ModelsAI
Tracks wastage per cut and turns remnants into a priced, sellable line instead of a bin.
SHORT CUTS ARE WHERE THE YIELD GOES
Branch 07 is not careless across the board — it loses 11.4% on cuts under two metres and matches the estate everywhere else. One table, one habit, one cut length. Setting a minimum-cut rule and pricing the offcut recovers most of the £2,100 without retraining anyone.
Design-run & colourway planningL2 · Zen ModelsAI
Sizes each run and colourway against last season's actual sell-through, not the buyer's memory.
THE TWO WEAKEST COLOURS HAVE THE BIGGEST PLANNED RUNS
Bottle green and camel sold through at 38% and 31% last season and between them carry 14,500 metres of the new run — nineteen and twenty-two weeks of cover on colours nobody bought. The run total is right; the colour split is inverted.
Seasonal & festive drop planningL2 · Zen ModelsAI
Plans the volume drops — lawn, festive, winter — that make or break the textile year.
THE DROP BORROWS FROM THE WEEK BEFORE AND AFTER
Lawn peaks at 3.1× over eleven days and pulls demand from both surrounding weeks — planning it as a single week over-orders the drop and starves the fortnight around it. Eid compounds this: its date drifts by up to two days against the lunar calendar.
Made-to-measure pipeline
Curtain and upholstery orders from measurement through making to installation, with the promise date held.
Room-set & collection attach
The sheet with the duvet, the cushion with the throw — what actually completes a set, prompted at the till.
Fitting & installation scheduling
Measure visits, making and installs planned against real fitter capacity rather than an optimistic diary.
Size, GSM & thread-count demand
Which spec actually sells, per store and per season, so the buy stops averaging across the range.
Dye-lot & shade continuity
One room, one lot, across every piece — checked at picking, not discovered at delivery.
Wedding & seasonal peak planning
The dowry, winter and festive peaks that shape the home-textile year, sized before the stock is committed.
Pick one. It opens the real screen.
Made-to-measure pipeline health, on-time installation, set attach rate and room-set sell-through.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
NEXT WEEK · 14 MADE-TO-MEASURE ORDERS ON 2 INSTALLERS
“Move one to Thursday — both promise dates hold.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. Per-piece and cut-length pricing, deposit capture, measurement notes and the install date booked at the counter.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
The sheet that matches this duvet is in stock. Sets convert 37% of the time here.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Job-level costing for made-to-measure — fabric, making, fitting visits and remakes — against the quoted price.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
MADE-TO-MEASURE CANNOT ABSORB A LATE MILL
Bedding is a week late and it feeds wedding season, which peaks at 3.4×. Unlike stock lines, a made-to-measure promise date is given to a named customer on a named day — there is no averaging your way out of it.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
A DISCONTINUED SAMPLE IS A SALE YOU CANNOT FULFIL
Showroom 2 is still selling from a sample book with twelve discontinued fabrics in it. Every order taken against those becomes a call-back and a re-selection — the customer’s first experience of you is being told no.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
ONE FITTER ON LEAVE IS 20% OF INSTALL CAPACITY
With one fitter on leave you are running 37 committed hours against 40 available, and Friday alone carries sixteen. The diary books by day and cannot see hours — which is how two orders ended up promised to the same team on the same afternoon.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
SHOWROOM 2 LOSES WALK-INS WAITING FOR A CONSULTANT
Showroom 2 has six couples waiting over 15 minutes for a made-to-measure consultation, and three left in the last hour. A quick-measure desk for curtain-only orders takes half the queue off the consultants.
Orders, sets and the promise date.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Made-to-measure pipelineL1 · Zen Rules
Curtain and upholstery orders from measurement through making to installation, with the promise date held.
THURSDAY HAS THREE FREE HOURS — FRIDAY IS DOUBLE-BOOKED
Two orders are promised the same Friday to the same fitting team — the diary accepted both because it books by day, not by hours. Thursday has three free hours and one of the two is a single-room curtain. Move it and both promise dates hold.
Fitting & installation schedulingL1 · Zen Rules
Measure visits, making and installs planned against real fitter capacity rather than an optimistic diary.
TRAVEL IS A QUARTER OF EVERY INSTALL — ROUTE BY AREA
Friday carries four installs and sixteen hours of work against one fitter and eight hours — the second fitter is on leave and the diary never knew. Monday and Tuesday have twelve free hours between them. Two of Friday’s four move cleanly.
Dye-lot & shade continuityL1 · Zen Rules
One room, one lot, across every piece — checked at picking, not discovered at delivery.
A REMAKE COSTS MORE THAN THE MARGIN ON THE ORIGINAL ORDER
Two picks today span lots with visible drift — a five-piece bedding set at ΔE 2.8 will read as two different whites once it is on the bed. Nobody sees it in the warehouse. A remake costs £312, which is more than the order earns.
Measure, make and install.
Modelled early enough to act on, with the cause named and the move costed.
Room-set & collection attachL2 · Zen ModelsAI
The sheet with the duvet, the cushion with the throw — what actually completes a set, prompted at the till.
AN ATTACH NOT MADE AT THE TILL IS USUALLY NEVER MADE
Rug underlay attaches at 18% against a 34% average — and underlay is not optional, it is what stops the rug moving. Customers are buying it elsewhere or going without. The prompt exists for duvets and curtains but was never written for rugs.
Size, GSM & thread-count demandL2 · Zen ModelsAI
Which spec actually sells, per store and per season, so the buy stops averaging across the range.
LUXURY SPEC ONLY MOVES IN THREE FLAGSHIP SHOWROOMS
The range is bought as if every showroom were a flagship. 800 TC is 16% of the buy and 8% of sales, and it only moves in three city sites — everywhere else it sits at nineteen weeks. Meanwhile 400 TC, which is over half of sales, is on three weeks of cover.
Wedding & seasonal peak planningL2 · Zen ModelsAI
The dowry, winter and festive peaks that shape the home-textile year, sized before the stock is committed.
THE PEAK IS BEDDING AND TABLE — NOT THE WHOLE RANGE
Wedding season is not a store-wide peak — it is bedding at 3.4× and table linen at 2.6×, while curtains and rugs barely move. Stocking the whole range up ties capital in categories that will not turn for another quarter.
Single stock pool across channels
One truth for availability across web, floor and marketplace — the oversell that costs you the account, prevented.
Channel margin after fees
Commission, shipping, returns and ad spend costed per order, so the best-looking channel is judged on what it keeps.
Listing & content health
Which listings convert and which have quietly died, before a season's stock ends up behind them.
Order routing & SLA control
Dispatched from the location that hits the promise date, not the one with the most stock.
Return & refund abuse detection
The buyer patterns that quietly eat channel margin, surfaced with the evidence attached.
Price parity & buy-box monitoring
Where you're being undercut and by whom, across every channel you sell on.
Pick one. It opens the real screen.
Channel margin after fees, order accuracy, return rate and SLA performance side by side.
Balanced ScorecardThe board · four lenses, live
Financial, Customer, Operational and AI Learning on one live board.
ONE CHANNEL · BEST ON REVENUE, WORST ON MARGIN
“Cut ad spend here and reprice — or the volume is costing you.”
Point of SaleThe counter · live till, Iris upsell
Every channel, one cart, one stock pool — with Iris making the calls at the counter. In-store returns for online orders, and store-fulfilled marketplace orders raised at the same counter.
EVERY CHANNEL · ONE CART · ONE STOCK POOL
Third return from this buyer this month. All size-related, all the same style.
Numerus · CFOThe ledger · balanced, not estimated
GL, AR, AP, inventory and cash tied to the trading data and closed to the board's numbers.
MARGIN BRIDGE · SEASON TO DATE
Commission, shipping, returns and ad spend charged to the order that caused them.
Nexus · Supply ChainThe pipeline · forecast, procurement, logistics
From mill to door — purchase orders, lead times and landed cost, modelled before they slip.
STOCK THAT ARRIVES BEFORE ITS LISTING IS INVISIBLE STOCK
Only 78% of arrivals have a live listing waiting for them — the rest sit in the 3PL earning nothing while content is written. On a marketplace, stock without a listing is not slow stock, it is invisible stock.
Motus · OperationsThe estate · standards, assets, energy
Store standards, fixtures, energy and security as deterministic rules that fire on breach.
SUPPRESSED LISTINGS DO NOT ANNOUNCE THEMSELVES
Seven listings are suppressed and seven have lost the buy box — fourteen SKUs effectively off sale on your largest channel, and nothing on a sales report would show it as anything but soft demand.
Manus · WorkforceThe floor · roster, payroll, compliance
Cover modelled against the hours that actually convert, with compliance checked as it happens.
THE CONTENT GAP IS WHY LISTINGS GO STALE
The content team is running three of five, and it is the same team that would refresh the fourteen-month-old images costing you the buy box. The listing problem and the staffing problem are the same problem.
Zentallio VisionThe cameras · footfall, queues, safety
Footfall, queues, try-ons, revisits, safety and productivity — your cameras, turned into decisions.
PACK BENCH 4 IS SHIPPING THE WRONG ITEM
Camera checks at pack bench 4 caught three wrong-item packs today, all the same two look-alike SKUs. Splitting them onto separate pick faces stops the error at source instead of at the customer’s door.
Orders, stock and SLA on every channel.
Thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Single stock pool across channelsL1 · Zen Rules
One truth for availability across web, floor and marketplace — the oversell that costs you the account, prevented.
TWO OVERSELLS IN A QUARTER RISKS THE AMAZON ACCOUNT
Amazon shows 46 units behind the pool — a safety buffer someone set manually and never removed. It is not an oversell risk, it is 46 units you are refusing to sell on your largest channel. The pool reconciles in 1.4 seconds; the buffer is doing nothing but costing sales.
Order routing & SLA controlL1 · Zen Rules
Dispatched from the location that hits the promise date, not the one with the most stock.
SIX ORDERS ROUTED TO THE DC COULD SHIP FROM A STORE
Six Amazon orders are routed to the DC on a two-day lead against a next-day promise — and every one of them has stock in a store closer to the customer. The router optimised for stock depth instead of promise date. Re-route and all six land on time.
Fees, returns and the real margin.
Modelled early enough to act on, with the cause named and the move costed.
Channel margin after feesL2 · Zen ModelsAI
Commission, shipping, returns and ad spend costed per order, so the best-looking channel is judged on what it keeps.
RETURNS COST MORE THAN COMMISSION ON THIS CHANNEL
Amazon is your best channel on revenue and your only negative one on contribution — and it is returns, not commission, doing the damage. At 22% returns against 11% on D2C, the same products are coming back twice as often. Fix the returns or the volume is costing you money.
Listing & content healthL2 · Zen ModelsAI
Which listings convert and which have quietly died, before a season's stock ends up behind them.
THE PRODUCT IS FINE — THE LISTING IS OLD
The camel overcoat still pulls 12,400 views and converts at 0.8% — traffic is not the problem, the listing is. Images are fourteen months old against competitors at three, and there is no A+ content. Seven other listings are suppressed outright and invisible.
Return & refund abuse detectionL2 · Zen ModelsAI
The buyer patterns that quietly eat channel margin, surfaced with the evidence attached.
MOST RETURNS ARE HONEST — THE TAIL IS NOT
Thirty-one accounts sit outside normal behaviour, but only three are unambiguous — one returning empty parcels, two wardrobing high-value pieces. A-4471 returns half its orders and is not abuse; it is a genuine sizing problem on one style. Do not punish the honest tail.
Price parity & buy-box monitoringL2 · Zen ModelsAI
Where you're being undercut and by whom, across every channel you sell on.
FIVE OF SEVEN ARE YOUR OWN AUTHORISED RESELLER
You are not losing the buy box to the market — five of the seven are your own authorised reseller undercutting you by 4% on your own product. That is a contract conversation, not a pricing one. Repricing to match starts a race you own both sides of.
Standard across all nine sectors: 12 core POS solutions — checkout, returns & exchange, store credit, tender & reconciliation, tax, discount governance, customer capture, loyalty, offline resilience, cash management, shift close and audit trail.
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