Gutsaga Technologies

Industries — Food & Beverage Production

Turn finished-goods stock and customer urgency into one clear production priority.

Food producers must protect availability while respecting shelf life, capacity, changeovers and customer orders. Local efficiency can look good while the wrong products are made early and urgent products wait. The goal is flow to the customer—not busy machines.

Food & Beverage Production

The main inventory issues in food & beverage production

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

Machines stay busy on the wrong products

Batch efficiency dominates even when another SKU is close to stockout or a customer date.

Business consequence: Output rises, but throughput and service do not.

Finished goods age before they sell

Production starts too early or in quantities the market cannot absorb.

Business consequence: Cash, space and shelf life are consumed before revenue arrives.

Make-to-stock and customer orders compete in separate lists

Planners manually reconcile urgency, dates, stock and WIP.

Business consequence: Priorities change by meeting, expediting becomes normal and promises become unstable.

Raw material decisions are disconnected from the constraint

Materials are bought or released without one view of what protects throughput.

Business consequence: Shortages stop the critical flow while excess accumulates elsewhere.

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

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

Machines stay busy on the wrong products

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

Finished goods age before they sell

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.

One execution-priority queue

Stock needs and customer orders become comparable urgency signals for production.

Flow before local efficiency

Batch companions are allowed only when they do not delay the true priority.

Shelf-life-aware production

Start neither too early nor too late; reduce finished-goods aging and waste.

Management sees the constraint

Focus capacity, material and expediting decisions where they change throughput.

Proven here: Dairy (Galychyna), brewing (Volfas Engelman) and multi-plant production groups.
−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 production orders are late because capacity was used on lower-priority work?

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

How much finished goods inventory is produced before it is economically needed?

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

Can planners compare stock replenishment and customer orders in one queue?

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

Which material shortage threatens the most throughput right now?

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

Is Horizon an APS replacement?
Not necessarily. It can add a management priority layer that converts stock and time buffers into clear execution decisions.
Can it combine make-to-stock and make-to-order?
Yes. Both can feed one priority queue so production sees what should be completed first.
Does it consider batching?
Yes. Batching is used as an efficiency tool after the priority anchor is protected, not as the main goal.