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On the back of the COVID-19 pandemic, many organisations face increasing volumes of debt in arrears, and a higher share of financially stressed customers. In early collections, this requires stronger segmentation, focus of manual activities on relevant customers, and a higher degree of automation when treating medium- and low-risk customers. Customers in financial stress require payment plan changes that balance affordability with risk considerations, and most importantly, are sustainable and do not break after a couple of instalments.
Decision Optimisation provides a strong method to analytically determine the optimal collection treatment for each customer, under given constraints such as operational capacity, budget and performance targets. In this session, learn how decision optimization allows you to develop mathematically derived strategies for:
You'll come away with a clear understanding of how to use decision optimization to balance trade-offs between competing goals, such as operational costs and portfolio performance, and to simulate the impact of constraints, such as changes to capacity or policy rules.
Collections operations across the globe are being stretched to breaking point. You're dealing with challenges such as ongoing, significant customer demand; payment relief exit strategies; capacity constraints due to lockdowns; working-from...
Traditional affordability assessments are long processes for both customers and employees, as the average telephony assessment takes up to one hour to complete. As customers rush through the calls, they provide self-declared income and spe...