Gutsaga Technologies

Industries — Pharma Distribution

Protect service levels without financing years of slow-moving pharmaceutical stock.

Pharmaceutical wholesalers are judged by availability, but the assortment is wide, many items move slowly and expiry or lot rules narrow the room for error. The real job is to protect customer service while controlling cash across warehouses, branches and channels.

Pharma Distribution

The main inventory issues in pharmaceutical wholesale

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

High total stock still produces customer shortages

Stock is concentrated in the wrong warehouse, branch or pack size.

Business consequence: Emergency transfers and lost orders appear while capital remains trapped elsewhere.

Old stock survives beyond supplier payment terms

The company has paid, but the product has not converted back into cash.

Business consequence: Working capital tightens and later liquidation becomes more expensive.

Expiry and lot decisions are late

FIFO alone does not decide where stock should go or when ordering must stop.

Business consequence: Write-offs grow and sales teams push stock only after risk is obvious.

Supplier packs and minimums distort the flow

A locally attractive discount or MOQ can exceed realistic network absorption.

Business consequence: Purchase savings are consumed by holding cost, expiry risk and cash pressure.

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

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

High total stock still produces customer shortages

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

Old stock survives beyond supplier payment terms

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.

Multi-warehouse availability control

See shortage, healthy stock and excess by SKU, location and channel.

Stock-age and payment-term visibility

Separate stock that is still financing itself from stock already consuming cash.

Lot-aware risk actions

Trigger redistribution, returns, promotions or stop-order decisions before expiry becomes unavoidable.

Supplier offers tested against sell-through

Approve controlled surplus only when the financial benefit is real.

Proven here: Multi-warehouse pharmaceutical distributors with 3–5 regional warehouses and national delivery; up to 100,000 collected lines per day.
−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 SKUs are simultaneously short in one warehouse and excessive in another?

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

How much stock remains after its supplier payment term?

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

Which lots will become expensive before the team currently sees them?

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

How often do minimum order quantities override actual network need?

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 the system distinguish strategic stock from unwanted overstock?
Yes. Zones separate controlled surplus, tolerated stock and unwanted overstock so managers do not treat every high quantity the same.
Can it support branch warehouses and central warehouses?
Yes. The same control logic can be applied across multiple echelons with transfer and replenishment decisions.
What data is needed for the free demo?
Typically sales, stock, incoming orders, locations, product master data and, where available, lot or expiry data.