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Analytics for Improved Collections |
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Adding intellect to your debt collection process
Retail Banks and consumer finance companies face many challenges in
maintaining value
extraction from their unsecured retail assets due to the dynamic
nature of their consumer
portfolios.
inCollect is a Debt Collection product that applies predictive analytics technology to make
accurate estimates of a customer's likelihood to repay. inCollect applies powerful techniques
of data visualization and statistical modeling to help you improve the efficiency of your
collection activities by prioritizing resources on assets that have a higher likelihood of
recovery.
inCollect covers all aspects of the collection process including,
• Measuring the cost of collection activities
• Analyzing the likelihood of payment using historical data
• Optimizing operations by directing collection resources to the accounts with the
most recoverable value
• Managing collection activities by tracking performance against strategies and objectives
and providing real-time scores
Models built using inCollect's analysis module cover the early, mid and late stages of
delinquency,
calculating the probability of a customer paying in response to various actions
by the bank.
Delinquent accounts are then prioritized on the basis of recoverable value
against cost of
recovery. This gives you a clear picture of where to concentrate your
recovery efforts for
maximum returns, and what sort of actions to take for optimal results.
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