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The same goes for restrictive credit decisions, which are a common fallback when there are insufficient insights to justify a credit limit that meets the customer’s purchasing requirements. Creditapplications, however, don’t provide much in the way of credit insights unless a financial statement is included.
While emails are often used, phone calls can be more effective, especially for high-riskaccounts. The most common fraud schemes include Business Email Compromise, changes to supplier information, and account takeovers. Preventing email comprpomise requires verification of changes (payment details, shipping address, etc.)
They understood the dynamics that affected their customers and marketplace, as well as the credit controls needed to keep creditrisk in check in this environment. They also kept very good records on their customers and their purchases, so there were no issues with transactional visibility.
AI can also improve security by detecting fraudulent transactions in real-time and reducing false positives to enhance user trust. This enables companies to focus their collection efforts more effectively and prioritize high-riskaccounts. However, some accounts will need human intention, of course.
If left unchecked, bad debt eats into your revenue, making a substantial impact on everything from your cash flow to future credit approvals. When steps are not taken to root out its underlying causes, credit managers may begin to approve new creditapplications more sparingly. This is part one of a two-part series.
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