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.
TransOrg helps in creating collection strategies to reduce delinquencies and mitigate losses allowing businesses to maximize their accounts receivable recovery.
Build multiple delinquency models, recovery models and BAU dashboards.
Segment customers based on their risk propensity scores.
Adopt differentiated strategies for different segments.
Launch personalized communication campaigns and track campaign efficacy.
Revisit the segments & each collection strategy based on campaign feedback.
Mitigate frauds at transactions level, merchant level or account level by anomaly detection.
Credit risk modelling is an approach to determine the probability of default of a customer.
Get customer insights such as wallet share, life time value and affinities to explore cross/up sell opportunities.
