Improve Debt Collections
by Leveraging Conversational Insights
Debt Collections is never easy. The InteliConvo Collections platform utilizes customer persona’s, payment patterns and conversational intelligence to arrive at right target list of customers with probability of making the debt payment.
Improve Debt Collections by Targeting right Customers, first
The debt collections is a very difficult task. To make the defaulter pay the money, requires the right strategies. Organizations try to target each and every defaulter with the same strategy. It however, does not work. Based on the defaulter’s person, the debt collections strategies must be planned. Some of the defaults could pay just by a simple automated reminder call while some would not pay even after repeated reminders. What is there was a way to make right strategies for different categories of defaulter. Well, the InteliConvo® Collections platform can be utilized for this purpose. It processes the past customer audio conversations and gives recommendations about the strategy to be applied to different defaulter personas. Some of the key platform features are listed in the following sub sections.
Know who will pay
Lot of time is wasted chasing customers who may not pay the debt. Target those customers first who will pay the debt for sure to get quick wins.
Understand Customer Personas
Get a deeper information about the Customers and the intent to pay. Use the platform to create cluster of similar personas and make right debt collection strategies.
Recommend Actions
With state-of-the art Ai models, get real time recommendations about the offer to be made to the customer to which the customer would most probably agree to.
“Our Debt collections has increased more than 5% in last 2 months. The InteliConvo Collections platform is helping is a big way”
– Sr. Manager Collections Operations for a leading BPO
“In collections, the key is to reach out to those customers first who could make the payment. With InteliConvo, we now know exactly which customers to target first. We have seen almost 10% uplift in the initial 3 months itself”