ARE YOUR DEBT COLLECTION SYSTEMS UP-TO-DATE?

Elevating levels of debt magnify the chances of delinquency, which can considerably reduce profit margins and surge costs for lenders.

Furthermore, since lofty debt levels render the economy to extreme vulnerability, inability to check this stalemate in time can also give way to a global economic meltdown.

Thus, with the amount of global debt accumulating every year, traditional processes have been able to do very little to arrest the problem, creating the need for advanced systems that can inhibit galloping delinquency rates by also enhancing customer experience.

PROBLEMS IN TRADITIONAL COLLECTION PROCESS

In 2017, the global debt reached an all-time high of $184 trillion in nominal terms, the equivalent of 225% of GDP. On average, the world’s debt exceeded $86,000 in per capita terms, which is more than 2½ times the average income per-capita.¹

To recover loans, traditional systems deploy time-intensive manual correspondences that impede proper resource utilization. Also, they only analyze recent internal transaction data and lack accurate risk segmentation models. Regular updates of data since collection or loan approval are also not available with these traditional systems.

The use of AI and machine learning (ML) has become obligatory for businesses to beef up collections and skirt the initial roadblocks presented by legacy systems.

AI IMPROVING PERFORMANCE RECORDS

When it comes to collection strategy, AI-powered machines emulate cognitive human behavior to solve a host of issues discussed below:

Powered by advanced ML capabilities, CollectEdge is a data-driven intelligent application designed to help lending and collecting organizations reduce delinquency rates and boost recoveries. CollectEdge can assist companies that want to make existing debt collection systems more intelligent and seek a balance between mitigating loan losses and enhancing customer experience.

COLLECTEDGE

CollectEdge studies data across channels and looks up statutory/regional regulations to recommend appropriate channels and time for contact. It understands personality traits, negotiates and connects with borrowers based on e-mails, texts, public posts, blogs, tweets and comments. In addition, it offers preventive insights, risk predictions and ML-based queue prioritizations that focus on profiles with high chances of recovery and personalized repayment plans for delinquent customers.

Apart from major perks like lower delinquency rates, reduced charge-offs and higher operational efficiencies, the software offers a unified view of customer accounts and can be synced with existing core collection systems. With CollectEdge, companies are not required to rip and replace their existing legacy systems and train their talent resources on new technology. Easy implementation and faster time-to-market, unbiased data model and easy access for audit teams are factors that can make the product popular among companies concerned about value cycles and understandability among auditors.

Sources:

New Data on Global Debt, https://blogs.imf.org/2019/01/02/new-data-on-global-debt/, January 2, 2019