Gutsaga Technologies

Industries — Fashion & Footwear

Sell the collection at margin—not months later through a markdown spiral.

Fashion has one-shot buys, size curves, colors, store differences and returns. A style can look healthy in total while the selling sizes are gone and the wrong sizes remain. The business needs decisions before the season is over.

Fashion & Footwear

The main inventory issues in fashion, apparel & footwear

The visible stock problem is only the symptom. The real cost appears in lost sales, blocked cash, markdowns and management time.

The style is in stock, but the selling size is gone

Style-level availability hides size and color gaps.

Business consequence: Full-price sales stop while residual units create a false picture of stock.

Store allocation freezes the wrong local mix

Initial allocation is copied broadly and corrected late.

Business consequence: One store marks down what another could still sell at full price.

Returns re-enter the flow slowly

Returned items wait in a warehouse or wrong store before being saleable again.

Business consequence: The product loses value while time-to-resale grows.

Season-end action starts after margin is already lost

Teams wait for certainty before transferring, repricing or liquidating.

Business consequence: Markdown depth rises and the next collection competes for space and cash.

The problem is not total stock. It is stock in the wrong state, place or time.

In fashion, apparel & footwear, availability and excess can exist at the same time. The control question is which SKU-location needs action now—and why.

The style is in stock, but the selling size is gone

The sale is exposed even while the company continues financing inventory elsewhere in the flow.

Store allocation freezes the wrong local mix

Late visibility turns a correctable imbalance into markdowns, write-offs, emergency work or lost customers.

What better inventory control should deliver

These are operating outcomes, not feature promises. The free demo replaces assumptions with your own baseline and improvement potential.

Size-color-location visibility

Manage the sellable curve, not just style totals.

Redistribution while full-price demand exists

Move stock earlier between stores and channels.

Returned stock routed to the best next sale

Reduce idle time and recover value faster.

Clear exit rules

Trigger markdown, outlet or liquidation decisions based on time, stock and target.

Proven here: Linen apparel with own retail (Linas); bags & luggage wholesale (Bagland).
−10–40%overstock reduced

Stock cut without losing sales — cash back on the balance sheet.

+2–20%sales from availability

Fewer empty shelves — fewer lost sales and lost customers.

Firstredistribute, then buy

Stock moves between branches to where it is really needed before any new order.

Promosno gaps, no leftovers

Stock follows the promotion in — and steps back down after it ends.

FullKPI history visibility

Availability, overstock and lost sales tracked at every level, over time.

From order review to zone-based decision control.

Horizon does not ask managers to inspect every line. It classifies stock position, adjusts target levels through ordering rule and turns exceptions into clear actions.

See the real position.

At site, in transit, target, availability, age and location.

Separate healthy stock from risk.

Low, urgent, horizon, allowed, tolerated and unwanted zones.

Make the next action explicit.

Order, expedite, transfer, stop, promote, return or liquidate.

Questions worth answering with real data

A useful diagnostic shows the current situation, the recurring pattern and the financial or service consequence.

Which styles look available only because non-selling sizes remain?

Measure the frequency, the affected SKU-location combinations and the sales value exposed.

How much full-price demand is lost before a transfer is initiated?

Trace when the stock position changed and which ordering, promotion or allocation rule caused it.

How long does a returned item wait before it is saleable again?

Compare where inventory sat with where demand occurred and what transfer or replenishment action was possible.

What share of markdown loss could have been prevented by earlier action?

Translate the operational gap into blocked cash, margin loss, service risk and management workload.

Start with evidence, not a software presentation.

A realistic next step is a small advance: a free demo on your own data, then a focused pilot, and only then the full project.

Step 1

Free demo — up to 2 months

One data load. A diagnostic quantifies lost sales, overstock, old stock and ordering-rule gaps on your own history — then monitoring dashboards keep running on current data while you decide.

Step 2

Pilot

Run a controlled scope with real orders, targets and measurable success criteria.

Step 3

Full project

Expand with process ownership, training, integrations and management KPI control.

Run the first test on your own data.

No generic ROI calculator. We first identify where the current flow is losing sales, cash or management time.

Start Your Free Demo

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Questions before the first step

Can Horizon replace fashion merchandising judgment?
No. It turns store-SKU evidence into clearer actions so merchandisers focus on ordering rule, collection and exceptions.
Can it support one-shot seasonal buys?
Yes. Seasonal stock can be controlled against time, target and exit decisions even when replenishment is limited.
Can it work across stores and e-commerce?
Yes. Omnichannel inventory can be treated as one network with channel and service rules.