Credit Risk Management

A significant and growing problem for organisations today is the loss of revenue through bad debt (i.e. non-payment for goods and services received).   The use of advanced technology can provide valuable support to existing in-house screening policies and credit agency checks.

Nt's Minotaur™ Credit Risk Management Solution assists organisations to both assess prospective customers for credit risk at application stage, and to predict and manage payment risk throughout the customer lifetime.   It supports the initialisation and subsequent management of credit limits.

The solution enables organisations to assess each prospective customer for creditworthiness.  This is carried out using neural predictive analytical models, which are created using an organisation's own historic data to ensure they are highly relevant and accurate.   Scores are produced which indicate a prospect's propensity to pose a credit risk, helping organisations to make informed decisions about which customers to accept and on what terms. 

The solution enables organisations to set initial credit limits that are individual to each customer.  Alerts are generated when customers exceed, or are predicted to exceed, their credit limit.  Over time, a profile begins to form regarding customers' spending and payment habits.  This information is used to automatically adjust customers' credit limits in line with their behaviour, e.g. 'good' customers are rewarded with higher credit limits.  This helps to increase both profits and customer loyalty.  Neural behavioural modelling supports the identification of the customers' normal usage patterns and payment behaviour, and alerts are produced to highlight any changes in normal activity that might be indicative of credit risk. 

Minotaur™ Credit Risk Management Solution provides organisations with clear visibility of their customer exposure by monitoring the difference between the credit limits defined by the organisation and the total financial commitment owed by individual customers.