The primary financial aim of collections is clearly to safeguard the interests of the organisation by reducing arrears. losses and bad debt.
However, like other business areas, collections departments face the ongoing challenge of delivering “more for less” by increasing operational collections effectiveness whilst simultaneously reducing costs.
Creating a positive customer experience is now very much an essential part of collections as more than half of people would switch if they experienced bad debt collection processes.
Finally, there is the regulatory dimension. Reducing levels of underperforming and non-performing loans will have a direct impact on capital provisioning requirements and. by association, help release capital back into the business.
Reducing bottom line losses and costs
Protecting portfolio profitability
Reducing roll rates across collections
Improving collections and recovery efficiency
Engaging customers through personalised digital journeys
Settling arrears ahead of the competition
Reducing levels of non-performing loans
Improving capital estimation and provisioning accuracy
Debt defence will enable you to develop and operationalise a more comprehensive, forward looking view of risk across the delinquency and collections lifecycle.
We enable you to leverage multiple data sources along with traditional and machine learning analytical techniques to create a wide range of predictive analytical models and strategies.
We then deploy, automate and monitor these models and strategies within the operational environment to drive differentiated and personalised decisioning treatments within a scalable low cost operating model.
In this way we help clients overcome the identified financial, operational, regulatory and customer challenges whilst simultaneously accelerating the time to value across the delinquency and debt lifecycle.
Identify financial vulnerability and intervene earlier
Reduce flows into collections and levels of provisioning
Align regulatory risk with pre-collections and collections operations
Leverage data and advanced analytics within personalised customer treatments
Empower consumers to self-cure through multi-channel, digital, instant payment options
Reduce roll rates into mid and late-stage collections
Increase collections effectiveness in more complex cases
Automate modelling and visualisation of payment plans and debt restructures
Automate customer segmentation and workflows
Enhance the efficiency of in- house recovery processes
Optimise the timing and profitability of using 3rd party recovery agents
Intelligent strategy optimization
Leverage the value of decisioning outcomes by refining and improving models and scorecards
Enhance risk management across the lifecycle whilst simultaneously deepening customer relationships
Uncover new areas of market opportunity within poorly served or underserved segments