FinanceCredit Score Prediction
The credit score prediction model reduces exposure to credit risk and loss by identifying applicants who are at high risk of default and have no credit value but do not have an extensive credit history in case they can cause events (e.g., bankruptcy, default, etc)
FinanceLoan Repayment Prediction
Risk management is an important part of financial company management. Risk managers can prevent bank losses in advance by determining whether to repay a customer's loan using the customer's income status, credit history, payment level, external credit evaluation data and other indicators without spending time managing risk. You can save time and money in determining whether a financial service company will approve a loan, and manage risk by quickly predicting a customer's repayment capabilities.
FinanceFinance Product Recommender
By recommending products to customers, you can prevent customers from churning while doing customized marketing to customers who do not know what products they need. Personalized services are available by introducing products such as credit cards, savings accounts, and deposits that are suitable for customers based on data such as customer's personal information, consumption patterns, and financial performance. Through this, we provide differentiated counseling services. By providing personalized services, you can increase consumer confidence and increase corporate value.
FinanceCustomer Churn Prevention
Customer retention is more important than acquiring new customers. If you can prevent churn by predicting which of your existing customers are likely to churn, the benefit can be greater than acquiring new customers. You can analyze customer attributes, behavior, engagement, and external factors to help predict and prevent churn. Customer churn prevention can optimize corporate profitability. By predicting customer churn, financial services companies can increase customer satisfaction as well as increase customer lifetime value.
FinanceTrade Surveillance
You can detect suspicious transaction behavior in the market that indicates illegal behavior through transaction patterns using big data of trade and foreign exchange transactions of import and export companies. If fraud is suspected, such as deceiving false trade bonds as legitimate transactions, you can predict the transaction to reject the transaction entirely, or report the transaction for investigation and assess the likelihood of fraud. Fraud predictions can lower false positives. Reducing false positives leads to increased customer satisfaction, sales protection, and cost savings.
FinanceMoney Laundering Prevention
Financial crimes are on the rise due to the increase in the volume of financial transactions as financial companies adopt technologies such as fintech and blockchain. Currently, money laundering poses a serious threat to the financial services sector. To prevent money laundering, illegal money laundering can be detected and prevented to identify suspicious transactions and irregular transaction networks. Artificial Intelligence(AI) can detect suspicious transactions and build fraud and money laundering models efficiently, as well as improve employee and business productivity.
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