A leading construction management software-as-a-service (SaaS) company headquartered in the United States, offering a cloud-based platform for managing construction projects, bid processes, and project documentation.

The client’s outdated billing system relied on a flat fee model, which didn’t align with subcontractors' actual service usage, limiting revenue potential and market competitiveness. Additionally, the existing tech stack lacked real-time data processing and struggled to scale, causing performance issues during spikes in transaction volume and billing delays.

The client, with support from Turing, transformed their billing system using AWS and a microservices-based architecture to ensure scalability, accuracy, and real-time billing adjustments:

• Microservices architecture: Turing implemented a microservices-based architecture to break down the billing system into independently deployable services, enabling flexible management of real-time billing based on service consumption.
• Containerization and orchestration: Using Docker for containerization and Kubernetes for orchestration, the infrastructure achieved seamless scalability, ensuring the system could handle large transaction volumes without performance degradation.
• Real-time data processing: Integrated advanced real-time data processing capabilities to support instant billing adjustments, providing accurate billing aligned with service consumption. PostgreSQL and Grafana were used to power the real-time data insights and system monitoring.
• Security enhancements: The integration of security solutions, including Keycloak for authentication and Snyk for vulnerability scanning, ensured that the platform adhered to stringent compliance and security standards.

• 12% revenue growth: Transitioning to a usage-based billing model led to a 12% boost in revenue within the first quarter.
• 25% improvement in customer satisfaction: Transparent and fair pricing based on actual usage improved customer satisfaction.
• 30% improvement in scalability: The platform’s ability to handle transaction volumes increased by 30%, ensuring stability during high demand periods.
• Enhanced data insights: Real-time analytics provided deep insights into usage patterns, enabling data-driven decisions and business optimization.