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A ranked list with reasons

Which customers to give credit to

Which customers are likely to default on credit terms?

A ranked list with reasonsIllustration with sample data

Chance · will default · credit at risk

  1. #104286%$420
  2. #107974%$1180
  3. #111663%$260
  4. #115352%$940
  5. #119041%$310

The problem

Net-30 terms go to everyone, and one bad customer can wipe out a quarter's margin.

What you get

Ask for a deposit or shorter terms from the riskiest customers.

Each case comes with what it is worth, so the list is sorted by money, not just odds.

What you need

Customers with years in business, past invoices and how often they paid late.

How it works

  1. 01

    Connect your tool, upload a file, or use sample data.

  2. 02

    We learn from your past cases, check the result is honest, and explain it in plain words.

  3. 03

    You get the list to act on, with reasons and the money at stake.

Try it on sample data

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