Sales forecasting and order-book visibility for manufacturers.
Revenue Foresight™ forecasts where your order book is heading, tracks how quickly sales turn into cash, and scores each customer's risk of paying late, so you know which accounts to chase first.
Questions it answers
- Where is revenue heading over the next quarter?
- Are sales turning into cash as quickly as they used to?
- Which customers are most likely to pay late or default?
- Which receivables should we chase first this week?
Booked sales and banked cash are not the same thing. Revenue Foresight™ looks at both: the direction of the order book and how reliably each invoice converts to cash.
What's in the readout
Where sales are heading, and where the cash might not follow.
Where the order book is heading
A forward view of sales from your invoice history, with a range that reflects how steady your demand has been.
How fast sales become cash
How long invoices take to be paid, and whether that is getting better or worse over time.
Who might pay late
A probability of late payment or default for each customer, based on their payment-history pattern, not just days overdue.
Who to chase first
A ranked list of receivables to follow up, weighted by amount and risk.
How the model works
Customer payment risk comes from a trained credit-risk model that reads payment-history patterns, such as how payment timing has shifted, rather than just how many days an invoice is overdue. The same model powers Customer Foresight™, so risk scores are consistent across both.
Before the model runs, our Data Trust checks profile, validate and reconcile your books, so gaps and duplicates are flagged rather than hidden.
What it needs from Tally
Sales invoices and receipts by customer, with dates and amounts. It works from a standard Tally export: nothing is installed on your systems. The exact exports needed are confirmed on the discovery call.
Stress-test it with a preshock
These prebuilt scenario forecasts run against the same numbers:
- Festive Demand Miss: sales landing below plan in your peak season
- Big Buyer Stretch: your largest customer stretching payment terms
- Collections Drift: collections slowing across the book
The credit-risk model is currently trained on synthetic data, not on any client's receivables. Scores are a ranking aid for your team, not a credit decision. Methods, data sources and known limitations are set out in our AI Model Card.
Find out what your Tally data already knows.
Start with the free AI-readiness assessment, or book a 30-minute discovery call to see a forecast built on your own numbers.