Cash-Flow Forecasting in Europe
8 providers listed on TreasuryMap
The Cash Flow Forecasting solutions are dedicated to short-to-long-term consolidated forecasts, including sensitivity analysis and stress testing. It consists of extracting data from ERPs and potentially other tools to consolidate all data into one solution to assess the flows of cash (in and out) and to automatically update the forecasts. AI and machine learning are increasingly used to improve forecast accuracy, reduce manual effort, and provide scenario-based liquidity management.
Why CFF matters for corporate treasurers
Cash visibility is the number one treasury priority, yet forecasting stays largely manual and Excel-bound in many companies. Dedicated tools consolidate data automatically, add scenario and sensitivity analysis, and increasingly use AI to sharpen accuracy, turning forecasting from a chore into a planning asset.
What to look for when choosing
- Data sources: ERP, banks, AR and AP, other systems
- Forecast horizons: short, medium and long term
- Scenario, sensitivity and stress testing
- AI and ML forecasting and variance analysis
- Ease of updating and actuals versus forecast tracking
- Integration with the TMS and reporting
Cash-Flow Forecasting providers
AGICAPFrance
AividensBelgium/Brussels
CashAnalyticsDublin, Ireland
EmbatSpain
PanaxNew York, USA
TableauSeattle, Washington, U.S.
TreamoVienna, Austria
Treasury Intelligence Solutions BerlinCash-Flow Forecasting: frequently asked questions
What is cash flow forecasting software?
It is a tool that consolidates data from ERP, banks and other systems to project cash inflows and outflows over short to long horizons. It automates the collection and updating of forecasts and typically adds scenario, sensitivity and stress-testing so treasurers can plan liquidity instead of rebuilding spreadsheets.
How does AI improve cash flow forecasting?
Machine learning analyses historical flows and payment behaviour to predict timing and amounts more accurately than manual models, flag variances automatically, and reduce the effort of updating forecasts. The result is a more reliable short-term liquidity picture and faster scenario analysis.
Why is cash flow forecasting still done in Excel?
Excel is flexible and familiar, so many treasuries default to it, but manual forecasting is slow, error-prone and hard to audit as the business grows. Dedicated tools remove the manual data pulls, keep actuals-versus-forecast tracking current, and free the team for analysis.
What data sources feed a cash flow forecast?
Typically the ERP, bank statements and balances, accounts receivable and payable, and sometimes the TMS, payroll and tax systems. The breadth and cleanliness of these sources largely determine how accurate and timely the forecast can be.
How accurate can automated cash flow forecasting be?
Accuracy depends on data quality, horizon and business volatility rather than the tool alone. Automation and AI improve short-term accuracy the most, while longer horizons remain driven by assumptions. The practical goal is a forecast reliable enough to act on, with variance analysis to keep improving it.