PAYCE® is a tool that uses machine learning to analyze trade payment data and predict if a company is likely to go bankrupt. PAYCE® can predict private company bankruptcies with an accuracy rate of 70%. This means it is one of the most precise models for predicting bankruptcies. PAYCE® uses a smart computer system called a deep neural network. This system learns about different ways people make payments and can predict if someone might go bankrupt. It’s better at predicting bankruptcy than other methods like Dun & Bradstreet’s PAYDEX® score. PAYCE® is a feature of CreditRiskMonitor’s B2B financial risk analysis platform. This platform also includes special bankruptcy models for public companies. CreditRiskMonitor is a company that gives information and analysis about financial risks. They are very good at what they do. Many companies worldwide use its platform to stay ahead in managing financial risk. It helps them do this quickly, accurately, and at a low cost. Here are some of the benefits of using PAYCE®:
  • It can accurately predict bankruptcies of private companies with a 70% success rate.
  • Find companies that might go bankrupt early on. Take actions to reduce risk before it’s too late.
  • Improve your ability to make better choices when it comes to borrowing money and engaging in other financial activities.
If you are a credit, supply chain, or other risk manager, PAYCE® is a powerful tool that can help you to protect your organization from financial risk. Here are some of the limitations of PAYCE®:
  • It is only for businesses that are not publicly traded.
  • It’s not completely correct, so don’t rely on it alone when making money choices.
  • It’s important to know the limits of PAYCE® and use it with other tools to assess risks.
PAYCE® is a strong tool that helps predict when private companies might go bankrupt. It is important to use it together with other tools to assess risks and to know its limitations.
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