PRESSURE TO REDUCE LOSSES AND INCREASE EFFICIENCIES

In today’s economic environment, companies are coming under increasing pressure to increase cash flow, reduce customer debt, improve operational efficiencies and productivity, as well as meet regulatory requirements.

Often it’s the good customers who receive the burden of outstanding debts with the increase of their bills and costs to help recoup the outstanding debts. Businesses are facing increasing pressure to minimise these losses and provide additional services for those vulnerable customers most likely to default or who will struggle to pay.

FINANCIAL HARDSHIP

1 in 3 working families are struggling to pay their energy bills

INCREASED MORTGAGE DEBT

Mortgage debt increased 2% in the past five years

THE BURDEN OF OUTSTANDING DEBT

89% of card debt was held by consumers also in debt two years ago

UNDERSTANDING YOUR CUSTOMERS TO HELP THEM MANAGE THEIR PAYMENTS

We have been working with our clients for over 25 years to help them harness the power of their data to help them fully understand their customers through the deployment of complex workflows and predictive insights. Our clients utilise our products and maximise our capabilities to help them gain a 360 degree view of their customer base.

Our solutions will support aspects of your debt management and collections work.

Debt Management System

With our enhanced workflow and case management capabilities as well as customer account monitoring, we can enable collections teams to effectively identify, manage and address customer debt. Our system can also help support the Dunning process, automatically communicating with your customers to help your collections strategy.

Connection 2

25 years'

Experience


We have been working with our customers for over 25 years to help them harness the power of their data

50+

Data sources


Integrate over 50 data sources and optimise comprehensive workflows to enhance your debt management and recovery strategy

30

Predictive algorithms


Precision uses the power of 30 algorithms to help you predict customer behaviours based on past experiences

CONTACT US

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