Forecasting cash with AI: better guesses about when customers will pay
The hardest line in any cash forecast is money coming in. Software that learns each customer’s payment habits can make it far more reliable, if it is checked against reality every week.
Most cash forecasts assume customers pay on their terms. Few do. One pays in 30 days, another in 52, a third only after a reminder. A forecast that ignores those habits will be wrong in the same direction, every month.
What the software does
Forecasting tools connected to your accounting system look at each customer’s history: how long they usually take, whether they pay at month end, how they react to reminders. They use it to predict when each open invoice will be paid, and roll the predictions into a weekly cash view.
Actual receipts. The gap with forecast is what each week’s review is for.
Show the data
| Wk 1 | £38,000 |
|---|---|
| Wk 2 | £44,000 |
| Wk 3 | £41,000 |
| Wk 4 | £52,000 |
| Wk 5 | £47,000 |
| Wk 6 | £39,000 |
| Wk 7 | £55,000 |
| Wk 8 | £48,000 |
| Wk 9 | £51,000 |
| Wk 10 | £46,000 |
| Wk 11 | £58,000 |
| Wk 12 | £53,000 |
Keeping it honest
- Review forecast against actual every Friday, and note why big gaps happened.
- Add what the software cannot know: a disputed invoice, a customer in trouble, a large order agreed yesterday.
- Keep the minimum balance you will not go below, and act when the forecast dips under it.
AI does not remove the need for judgement. It removes the guesswork about the routine, so judgement can be spent on the exceptions.
This insight is general information, not advice for your circumstances. Talk to us before acting on it.