Customer credit risk and concentration analysis for manufacturers.
Customer Foresight™ shows how dependent you are on a few large accounts and which customers are a payment risk, while there's still time to renegotiate, diversify or tighten terms.
Questions it answers
- How much of our revenue depends on our top few customers?
- What happens to our cash if our biggest buyer stretches payment?
- Which accounts are quietly becoming a default risk?
- Which customers are we at risk of losing?
Many mid-market manufacturers sell a large share of output to a handful of buyers. That concentration is often fine, until one of them pays late. Customer Foresight™ makes the exposure visible before it becomes a problem.
What's in the readout
Your exposure, account by account.
How exposed you are
The share of revenue and receivables held by your largest customers, and how that has changed over time.
Which accounts to watch
A probability of late payment or default for each customer, from their payment-history pattern.
What's at stake
Outstanding amounts combined with risk, so the accounts that could hurt most rise to the top.
What to do about it
Specific steps such as reviewing terms, asking for security, or reducing dependence. A person always decides.
How the model works
Concentration is measured with straightforward, auditable arithmetic on your sales and receivables. Default risk comes from the same trained credit-risk model used by Revenue Foresight™, so an account's score means the same thing in both readouts.
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, receipts and outstanding receivables by customer. 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:
- Big Buyer Stretch: your largest customer paying 30, 60 or 90 days late
- Collections Drift: payment slowing across your customer base
The credit-risk model is currently trained on synthetic data, not on any client's receivables. Scores support your team's judgment and are 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.