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Automated Credit Scoring System for Aviation Lessor

synodus.com

Aviation

Financial services

Data & Fintech

Challenges in Manual Credit Assessment

Manual calculation processes caused delays and errors in leasing contract evaluations. Inconsistent payment tracking and decentralized data systems led to incomplete customer profiles, forcing executives to rely on subjective decision-making rather than data-driven insights.

About the Client

Fortune 500 aircraft equipment leasing company serving domestic and international airlines

Key Project Goals

Automate customer credit scoring with 99.9% accuracy
Centralize financial and transactional data management
Enable real-time customer profile updates
Reduce contract evaluation time from 10 days to 2 days
Minimize risk through data-driven leasing decisions

Core System Requirements

Centralized data hub integrating internal/external financial sources
AI-powered customer profiling and risk categorization
Customizable scoring criteria engine
Real-time transaction history tracking
Interactive executive dashboards with instant analytics

Technology Stack

DevExtreme ReactJS

Devexpress Asp.net

XAF Framework

.NET Core

Azure Cloud

Power Platform

Machine Learning models

System Integrations

Legacy financial databases
External credit bureaus
Payment processing systems
Customer relationship management (CRM) platforms

Performance Requirements

99.95% system uptime SLA
Real-time data processing <2s latency
Role-based access control (RBAC)
Horizontal scalability for global operations
Automated failover and disaster recovery

Expected Business Outcomes

Implementation will reduce contract processing time by 80%, enable data-driven risk mitigation strategies, and improve customer service response rates through instant access to comprehensive financial insights. The system will support dynamic market adaptation while maintaining compliance with international aviation leasing regulations.