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Financial Intelligence · Expanded Financial Intelligence

AI Cash-Flow Forecasting

Produce source-backed cash forecasts with scenario ranges and cash-shortfall warnings, showing assumptions, confidence limits and forecast against actual.

Demonstration: Marlowe Textiles Ltd (fictional) · Manufacturing and export. Fictional data and a scripted answer.

The situation

Organisation
Marlowe Textiles Ltd (fictional)
Who is asking
Treasurer
Industry
Manufacturing and export
What happened
A large customer has asked to move its payment terms from 30 to 60 days, and the treasurer needs to see the cash effect before answering.

The question asked

If a share of our receipts arrives a month late, does cash stay above our minimum buffer over the next three months?

What it reads, and who can see the result

  • Bank balances feedOpening cash from the latest statement.
  • Receivables ageing exportExpected receipts by month.
  • Committed payments registerPayroll, suppliers and loan repayments.
Reads
Opening balance, expected receipts and committed payments for the next three months.
Does not read
Individual customer payment histories or any payment instruction.
Permission
Treasury read access to the cash forecast workbook and bank balance feed.
Who sees it
The treasurer and the finance director.

Try it

Change the assumptions. Every result and the answer below are recomputed from them, and a warning appears when a result crosses a stated limit.

Assumptions you can change
20%
USD 420,000
USD 150,000
Outflows each month
USD 365,000Payroll, 190,000 suppliers and 25,000 loan repayment.
End of month 1
USD 151,000
End of month 2
USD 206,000
End of month 3
USD 261,000
Lowest month-end
USD 151,000
Headroom over the 100,000 buffer
USD 51,000

The answer

Simulated answer. Written for this fictional case, not produced by a live model. Only the figures in it are computed, from what you decided above.

Lowest month-end cash is USD 151,000; headroom over the buffer is USD 51,000.

Opening cash is 180,000 [S1]. With 20% of receipts a month late, month 1 ends at USD 151,000; later months recover because the delayed share arrives, ending at USD 206,000 and USD 261,000 [S2][S3].

The pinch is the first month, not the average. The question for the customer is therefore not whether 60-day terms are affordable over the quarter, but whether the first month can be bridged.

Relies on: S1 · Bank balance, todayS2 · Receivables ageing and receipts planS3 · Committed payments schedule

No approval is needed for this result: it is read-only insight, and nothing consequential happens because of it.

What it produces

chart

Month-end cash, three months

  • Month 1 USD 151,000 · Month 2 USD 206,000 · Month 3 USD 261,000 · Buffer 100,000
recommendation

If the buffer is breached

  • Agree a partial move to 45 days, or a deposit on the first order.
  • Arrange standby funding before agreeing, not after.

Limits of this example

  • A forecast from the inputs shown, not a prediction: it assumes the receipts and payments schedule is right.
  • Only one cause of delay is modelled; a second late customer would compound it.
  • This is a scripted demonstration on fictional data. No model was called and no real organisation, person or result is shown.