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Collection Analytics

Collection analytics aids to analysing customer’s personal information, account and transactional data and behaviour pattern, which in turn helps to segment the accounts having high probability of losses. Collection strategies is way to reduce delinquencies and mitigate losses allowing businesses to maximize their accounts receivable recovery.

The objective is to create the collections strategy for different segments of customers who had failed to clear their payments.

Demand Forecasting, Customer Segmentation, Higher Campaign ROI, Predictive Attrition Modelling, Cross-Sell Modelling

Impact

Minimizing loss by restricting forward flow of delinquent customers.

Reduced debt write-offs.

Improve individual collector performance with better credit-management information and access to decisioning tools.

Increased recovery from NPA accounts.

Better understanding on customer behaviour

What we do

Model development

Build multiple delinquency models, recovery models and BAU dashboards.

Customer segmentation

Segment customers based on their risk propensity scores.

Collection strategy

Adopt differentiated strategies for different segments.

Campaign launch and tracking

Launch personalized communication campaigns and track campaign efficacy.

Feedback incorporation

Revisit the segments & each collection strategy based on campaign feedback.

Want to learn more about TransOrg’s value proposition, solution methodology and implementation approach?

Case Studies

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