Auto lending backend system

Our team developed a comprehensive backend system for processing auto loans in the US market. The project was implemented for AutoFi, a company specializing in digital solutions for automotive financing.

Project Goal

The main objective was to automate and optimize the auto lending process, aimed at improving interactions between dealerships, borrowers, and financial institutions. Special emphasis was placed on system performance, scalability options, and regulatory compliance.

Technical Solution

The system was built using a modern technology stack:

• Core Technologies: TypeScript, Node.js, GraphQL
• Data Storage: MongoDB for primary storage, Redis for caching
• Infrastructure: AWS cloud services, containerization using Docker
• Integrations: RESTful API for interaction with external services

Key Functionality

The developed solution includes several critical modules:

1. Creditworthiness Assessment System — automated credit history analysis using credit bureau data for real-time decision making.
2. Financial Product Management — dynamic formation of lending terms and integration with insurance products.
3. Payment Processing — payment schedule control, integration with payment services, and notification system.
4. Analytics and Reporting — generation of comprehensive reports and data exports in accordance with regulatory requirements.

Challenges Overcome

During the project, the following technical challenges were successfully addressed:

• Implementation of high-performance credit scoring algorithms
• Ensuring secure integration with external financial systems
• Compliance with personal data protection regulations (GDPR, CCPA)

Implementation Results

The implementation of the system significantly increased the efficiency of the auto loan process, ensuring transparency in the interaction of all participants and reducing application processing time. This allowed the client to strengthen their position in the US automotive sector's digital financial services market.