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Flow Scheduling Impact Calculator

See the gap between your plant and the top performers in
your industry, and what flow scheduling closes.

Enter a few KPIs you already track. It takes about two minutes.

This tool models a single plant. For a multi-site group, run each site separately. One blended KPI set across a group overstates the result, because stronger sites have less headroom.
1. Pick your operation
2. Enter scale and economics
HL
Hectolitres per year, for one plant.
Set value
Share of revenue from products with a short shelf life, such as fresh milk and yogurt. Freshness value applies to this share only.
€
Revenue minus variable cost.
€
Variable cost per litre. Raw materials, packaging and anything else that scales with volume. Excludes fixed costs, including direct fixed costs.
3. Enter current performance
Set value
Top performers: 95%
Set value
Top performers reach 85%
Set value
Days on hand.
4. Enter your planning team
Set value
€
Salary plus benefits, taxes and overhead.
Please fill in these fields first:
Annual value flow scheduling closes
···

Where the annual value comes from

·
One-time working-capital release. Cash freed once as inventory days step down. Not part of the annual figure.

Your gap to top performers

Blue = today.  Yellow = what flow scheduling closes.  Grey line = top performers.

Operational Flow Maturity Score
⬤ Current
–
⬤ With Flow Scheduling
–
⬤ Top performers
100

Beyond the gap: impact we do not put a number on

Real value our deployments deliver, left out of the figure above to keep it defensible.

    Conservative floor estimate  ·  Operational savings only icrontech.com/customer-centric-supply-chain-planning/flow-scheduling
    Want the validated version for your plant?

    A 30-minute session turns these directional gaps into an audited business case.

    Book a benchmarking session

    * You can use your plant's actual numbers because nothing you enter leaves your browser.

    Demand Decision Process

    ICRON Demand empowers businesses to navigate uncertainty through accurate forecasting using AI-driven methods that take into consideration historical data, reaTime updates, and fast adaptation to changing market conditions and disruptions.

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