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Development of a Rapid Digital Loan Management System with Automated Credit Scoring
  1. case
  2. Development of a Rapid Digital Loan Management System with Automated Credit Scoring

Development of a Rapid Digital Loan Management System with Automated Credit Scoring

instinctools.com
Financial services

Identifying the Need for a Fast, Secure, and User-Friendly Loan Management Platform

The client faces challenges in delivering a convenient, time-efficient loan application process suited for SMEs. Current manual data entry and outdated lending procedures result in lengthy approval times, delays in access to funds, and increased risks regarding data security, hindering customer satisfaction and market growth.

About the Client

A mid-sized fintech enterprise specializing in providing instant digital loans and invoice financing solutions for small and medium-sized businesses across multiple currencies.

Goals to Accelerate Loan Processing and Enhance User Experience

  • Reduce loan approval time from several days to under 20 minutes.
  • Enhance security measures to protect clients’ personal and financial data.
  • Streamline the loan application process into a simple, three-step user journey.
  • Automate data extraction from documentation to minimize manual entry.
  • Implement a flexible, multi-currency system to accommodate international clients.
  • Integrate with existing CRM and financial systems to ensure seamless operations.
  • Increase market share and customer loyalty through a transparent and efficient digital lending experience.

Core Functional Requirements for the Digital Loan Platform

  • Automated recognition and processing of PDFs and images through AI-powered OCR technologies.
  • Integration with a CRM platform for data synchronization (e.g., sales and client info).
  • Multi-currency support for handling international transactions.
  • Automated credit scoring based on financial commitments and history.
  • Secure transaction processing and data encryption for client data safety.
  • Three-step application workflow: document submission, approval decision, and funds disbursement.
  • Real-time status tracking and notifications for applicants.

Recommended Technical Stack and Architectural Approaches

Backend: NodeJS or similar scalable server-side technology
Database: NoSQL solutions such as MongoDB, DynamoDB
Cloud Infrastructure: AWS (e.g., S3, DynamoDB)
Frontend: React with Redux, Material UI, Styled Components
Build Tools: Webpack, Babel
AI-based OCR system for document recognition

Essential External System Integrations

  • AI OCR service for document data extraction
  • CRM platform for client data synchronization
  • Financial systems or databases for credit scoring and verification

Critical Non-Functional System Requirements

  • Processing time: Loan application decisions within 15–20 minutes
  • Security: Robust encryption and data protection compliant with GDPR
  • Scalability: Support for rapid growth and concurrent users
  • Availability: 99.9% uptime with disaster recovery capabilities
  • Performance: System responsiveness suitable for high-volume transactions

Expected Business Benefits from the Digital Loan Management System

The new platform aims to substantially decrease loan processing times, enabling approvals within approximately 15–20 minutes, thereby increasing customer satisfaction and market share. By automating document recognition and credit scoring, operational efficiencies will be improved, leading to faster ROI and accelerated business growth, with targeted capture of a significant portion of the SME lending market under two months post-launch.

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