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Development of an Automated Online Loan Application and Decision-Making System
  1. case
  2. Development of an Automated Online Loan Application and Decision-Making System

Development of an Automated Online Loan Application and Decision-Making System

altkomsoftware.com
Financial services
Information technology

Identified Challenges in Online Loan Processing and Customer Engagement

The client faces difficulties in efficiently managing online loan request forms for both installment and cash loans, leading to manual processing delays. They want to reduce reliance on call center staff for loan sales, improve the speed of deploying new online financial products, and gain insights into incomplete or abandoned loan applications to optimize conversion rates.

About the Client

A mid to large-sized consumer finance institution seeking to streamline their online loan application processes and enhance customer engagement through automation.

Goals for Automating and Optimizing Loan Request Workflows

  • Automate the processing of online loan request forms for various loan products including installment and cash loans.
  • Reduce manual intervention by customer service representatives in the loan approval and servicing process.
  • Enable rapid deployment of new online loan products to meet market demands.
  • Implement mechanisms to capture and analyze data from abandoned or incomplete loan requests to improve application completion rates.
  • Gain real-time analytics and insights into application flow and conversion metrics to refine processes.

Core Functionalities for an Automated Loan Request Management System

  • Online loan request form submission for different loan types.
  • Integration with credit scoring and decision engines to automate approval workflows.
  • Automated communication with clients via email and SMS for status updates and notifications.
  • Connection with ID verification and payment confirmation services.
  • Data collection for abandoned or incomplete applications for follow-up and analysis.
  • Modular process management enabling quick adaptation to new products or regulatory changes.
  • Dashboard for real-time analytics on application processing and conversion metrics.

Recommended Technologies and Architectural Approaches

Camunda BPM or equivalent process automation engine
Modular and scalable microservices architecture
AngularJs or modern front-end frameworks for user interfaces
Java or comparable backend programming language
Relational database systems such as Oracle Database
Message bus architecture using Apache Kafka or similar for real-time data flow
Elasticsearch for data indexing and search
OpenShift or container orchestration platform for deployment

External System Integrations Needed

  • Credit scoring engine for risk assessment
  • Decision engine for loan approvals
  • ID verification services
  • Messaging platforms for client notifications
  • Payment confirmation systems
  • Client data management platforms

Critical Non-Functional System Attributes

  • High availability and scalability to handle increased application volumes
  • Performance targets ensuring loan decision responses within seconds
  • Data security and compliance with relevant regulations
  • Reliability with minimal system downtime
  • Flexible architecture to support rapid deployment of new loan products

Anticipated Business Benefits from the Loan Automation System

The implementation of the automated online loan request system is projected to enable a tenfold increase in online loan sales, improve application conversion rates by reducing abandonment, and provide comprehensive analytics for ongoing process optimization. These improvements will enhance customer experience, reduce manual operational costs, and accelerate product time-to-market.

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