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Simplify complex risk decisions with a powerful credit scoring solution

Contact us credit scoring algorithm

Credit scoring is a statistical analysis to determine a person’s or a small, owner-operated business’ creditworthiness. The credit scoring model uses a scorecard method that weights various factors including payment history, debt burden, length of credit history, types of credit used, and recent credit inquiries. credit scoring algorithm is based on artificial intelligence (AI) and machine learning (ML) technologies. AI scoring is a great solution for credit scoring using more data to an individualized credit score based on factors including current income, employment opportunity, recent credit history, and ability to earn in addition to older credit history. credit scoring solution allows banks, financial institutions and credit unions to use credit scoring in risk-based pricing in which the terms of a loan, including the interest rate, offered to borrowers are based on the probability of repayment. credit scoring key benefits

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Minimize credit risks

Analyse historical data on previous borrowing behavior and monitor real-time indicators of the potential borrower's creditworthiness.

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Reduce credit losses

Make better, data-driven credit decisions.

A 360-degree view of the customer

Access, transform, standardize and cleanse all relevant data to create a 360-degree view of the customer.

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Fraud Prevention

Find and fix key high-risk incidents as they are happening

Transactions Anomaly Detection powered by Machine Learning technology monitors customer transactions and classifies data into normal distribution and outliers.

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Automated Reconciliation Service

Automate the matching and reconciliation of transactions

Save hundreds of working hours on the reconciliation process for developers, managers, and accountants

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Real-time anomaly detection

Identify anomalies

Detect unexpected transaction amounts, frequency, and take actions in real-time

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