Enable clients to create proactive outreach plans and prevent delinquencies through CollectEdge’s accurate early delinquency prediction models
Personalized recommendations for time, channel and tone of communication with the borrowers along with recommendations into right resolution strategy ensure the most desired outcomes for both borrower and lender
Improve process efficiencies, productivity and compliance based on intelligent segmentation and prioritization of accounts along with prime time recommendation.
While financial enterprises have been in the digital race lately, the industry hasn’t been able to efficiently leverage technologies in default management and subsequently improve efficiency and customer experience.
This whitepaper explains how AI can bridge this gap by effectively mapping customer segments, helping collection agencies and lenders gain some traction on data and get insight as to what motivates individuals to pay or default their outstanding debt.
Simple integration with your servicing and collection systems using our API services
Risk Bucket Prediction
AI-based Prioritized Queue
Suggestion on Corrective Measures
Predict Channel and Time
AI-based Personalized Communication
Roll Rate Prediction
AI-based Resolution Strategies
Account Level Personality Insights
Out-of-the-box insightful charts and provisions to create on-demand views
With a low success rate of debt-collections, are the current ways of operating at their optimum best? Is Artificial Intelligence the answer to make the existing debt collection processes more effective? And is it really possible to make current systems intelligent to avoid an excessive rip and replace cost? Download this whitepaper to know more.
A Large Bank in US is looking to reduce losses and increase the efficiency of the collection process through accurate segmentation and rank-ordering of delinquent accounts.
Their objective: To reduce delinquency by 25 basis points (0.25%) across 0-30 day and 30-60 day roll rate risk buckets
The client implemented 85% or more of our recommendations and currently have a delinquency reduction of 29 basis points.
Artificial Intelligence has reached a seminal state and is being extensively used to underwrite the loans based on alternate data sources like telephone records and s...
While financial enterprises have been in the digital race lately, the industry hasn’t been able to efficiently leverage technologies in default management and subsequently improve efficiency ...