Finance & markets
Cash-flow forecasting
Project cash receipts, payments, and liquidity with ranges that reflect timing uncertainty.
Sound familiar?
- A liquidity crunch spotted days before payroll instead of weeks
- Collections that slip quietly until the cash floor is at risk
- Credit drawn in a hurry because the low point wasn't visible
Cash balance
cash position $M · Live forecast
Driver
Receivables
Driver
Payables
Driver
Payroll
Forecast horizon
13–52 weeks
Refresh cadence
Daily or weekly
Built for
Treasury · FP&A
What you can predict
One forecast can answer several operational questions.
Use invoice behavior, payment terms, payroll, committed spend, collections, and revenue forecasts to maintain a rolling cash position.
Weekly cash balance
Receipts and disbursements
Liquidity headroom
Late-payment exposure
Questions teams need answered
- When is cash likely to reach its low point?
- Which receivables matter most?
- How much liquidity buffer is needed?
- How does slower collection affect runway?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Customers pay ten days later
Recalculate minimum cash and runway
Move a capital purchase
Compare liquidity headroom by week
Cash balance
cash position $M · Scenario comparison
What if
Customers pay ten days later?
Driver
Receivables
Driver
Payables
Driver
Payroll
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh cash balance on a daily or weekly cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Cash balance approaches the operating floor
- Collections diverge from expected timing
03 · DECIDE
Put the result to work
Build a cash-flow planning forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.