135186Deals Received | 354MABL Collections |
8439+Applications received per month | 11382Statements created per month |
Business Challenge
The unorganized structure for debt collection led to inefficiencies in follow-ups, resulting in reduced collections and increased resource efforts.
Key User Needs
Streamline debt collection process.
Generate maximum promises to pay.
Create strategic campaigns for focused target payments.
Provide a single-screen view for customer information

Tech stack
.NET Framework 4.5 ASP.Net web APIs Database - MS SQL Server
Our Process
Analysis of existing debt collection process.
Identification of pain points and customer needs.
Design and development of the debt collection system.
Integration of Winjit VisionSense for enhanced functionality
Testing and deployment of the system.
Training and support for client implementation.
The Outcome
Implemented within the financial services sector, the debt collection system has yielded impressive results, including a remarkable 58% year-over-year increase in collections. This achievement is accompanied by a reduction in resource efforts and a streamlined documentation process. Additionally, the system has significantly improved customer reach, extending to after-office hours, and enhanced the organization of the debt collection process. Key features such as specialized treatment groups for debtors and access to transaction history have facilitated more effective decision-making. The system also incorporates monthly campaigns for organized collection, an auto dialler with predictive dialling capabilities, and AIdriven inputs for optimal calling times and amounts. It also enables enhanced follow-ups with date-wise access to expected collections and auto call recording for quality assurance purposes.