Independent Cash Pooling Intelligence

See how much your company could save with cash pooling.

Most treasury teams find out the savings potential only after signing with a bank. CashPoolModel gives you a clear, independent view in minutes — before any commitment.

Liquidity Opportunity Calculator
$50M
2.5%
🔒 Zero Data Retention — inputs stay in your browser only
Potential Annual Optimization
Conservative
$175,000
—
Optimistic
$562,500

Range based on 20%–45% netting efficiency depending on group structure and currencies. For your precise figure, run the full simulation.

Run Free Simulation → View Sample Report
Well-structured pools typically generate €200k–€800k in net savings annually.
Open simulation tool
Free to use — no registration required
Multi-currency netting  ·  Sensitivity analysis  ·  Structure comparison  ·  Interactive pool canvas
No data uploaded to any server  ·  No bank connection required  ·  No paywall
How it works

From data to board decision
in three steps.

01
Enter Your Entity Structure
Add subsidiaries manually or load a preset. Map balances, currencies, and intercompany relationships.
02
Model Scenarios
Run base, optimistic, and stress-test simulations. Analyze netting efficiency and P&L impact.
03
Export Board-Ready Intelligence Output
Download a comprehensive PDF with sensitivity matrices and bank RFP specifications.
Sample Output

Your simulation dashboard, live.

KPIs, interest cost charts, sensitivity analysis, and a structured export — all generated from your inputs in one place.

cashpoolmodel.com/dashboard · Executive Summary
Illustrative data. Actual report generated from your inputs.
Jakub Houser
About the project

Built by a treasury practitioner.
Free for anyone who needs it.

I'm Jakub Houser — an independent treasury practitioner based in Geneva. I built CashPoolModel to give corporate finance teams a clear, independent view of their pooling structure before any bank conversation: savings potential, netting efficiency, sensitivity analysis.

The simulation model is grounded in my master's thesis in corporate finance at Masaryk University and informed by real treasury structures. It's fully open — no registration, no data sent to any server, no paywall.

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