For example, use machine learning algorithms to analyze customer data such as payment history, spending patterns, and demographic information to predict the likelihood of default or missing payments. The algorithm may identify patterns such as customers who consistently make late payments or customers who are using their credit card to make large purchases they can't afford to pay off, and flag them as high-risk customers who may be more likely to default or miss payments. Use this information to take proactive steps such as offering financial counseling or reducing credit limits to mitigate the risk of default.
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