Credit survival is only half of customer value.

The customer-value model behind a defensible credit-limit decision.

Your largest customers may produce the most revenue. That does not mean they produce the most profit for every dollar of credit you extend.

A bank measures risk against a lending spread. Your company should measure risk against margin, line velocity, credit cost, and long-term buyer value.

An unmeasured worst year governs like a veto. A measured one is a line item — sized, funded, and survivable.

Unmeasured risk forces blanket caution. That is why the most useful number in trade credit is the size of your worst year.

In trade credit, the P&L shows the bad debt you avoided. It does not show the profitable buyers you never funded.

The score says “high risk.” The economics may still say “worth funding.”

Bad debt is visible. Forgone margin is not. That is why many credit policies ask the wrong first question: how risky is this buyer?

A thin file is not a risk finding. It is a confidence warning.

Automating a generic score is not the same as automating a credit decision.

A risk band can tell you a buyer deserves attention. It cannot tell you what action is right.

External trade-payment data can be useful. But once aging information is pooled, compressed, and stripped of context, administrative noise can start looking like buyer risk.

Before you automate a credit decision from a score, make sure you know what the score is actually predicting.

Company identity is useful context. It is not enough to decide how much credit a buyer deserves.

A business credit score can help grade external risk. It cannot decide whether a buyer is worth more credit from you.

A credit limit is not just a control. It is a capital allocation decision that determines growth capacity, working capital consumption, margin capture, and credit risk.

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