Introducing 
CollectEdge is a data driven intelligent application powered by advanced Machine Learning that helps lenders and debt collectors alleviate risks and elevate customer experience.
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Reduce delinquency rates and charge-offs
Enable clients to create proactive outreach plans and prevent delinquencies through CollectEdge’s accurate early delinquency prediction models
Enhance Customer Experience
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 operational efficiencies
Improve process efficiencies, productivity and compliance based on intelligent segmentation and prioritization of accounts along with prime time recommendation.
Collect Effectively Without Affecting Customer Experience
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.
Key Features
API-based
Integration
Simple integration with your servicing and collection systems using our API services
Servicing
Risk Bucket Prediction
AI-based Prioritized Queue
Suggestion on Corrective Measures
Collection
Predict Channel and Time
AI-based Personalized Communication
Roll Rate Prediction
Recovery
AI-based Prioritization
AI-based Resolution Strategies
Account Level Personality Insights
Customer Insights Engine
Prediction Engine
Visualization
Engine
Out-of-the-box insightful charts and provisions to create on-demand views
Make your debt collection processes intelligent by embracing AI
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.
Success Story
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.
Outstanding consumer debt in some stage of delinquency out of $12.07 trillion of total debt
Industry average collection rate on delinquent debt, a decrease from 30% a few decades ago
debt collection in 2016, falling from 13.3 million in 2012
Percentage of customer
complaints received by CFPB* in the area of debt collection (highest among all areas)
Lending capacity of
a bank that is reduced for every $100 million of loan loss provisions
Debt that collection agencies collected
out of the $150 billion portfolio transferred to them
Right party contact rates for in-house and first-party collections
