Debt Management 2020 - Decision Optimisation

Time: 2:00 pm UK BST

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:

• Early collections treatment, minimizing end of month balances under capacity constraints
• Restructures for customers in financial hardship, considering policy constraints and balancing alternative financial goals

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.

You may also be interested in our webinars for:
Debt Management 2020: Customer Engagement
Debt Management 2020: Affordability