Event-Driven Architecture Lowers TCO for ACERTUS

ACERTUS, a leading provider of vehicle lifecycle solutions, faced the challenge of integrating data across its three distinct business units: Car Haul, Drive Away, and Title & Registration. These units operated on disparate systems, leading to manual processes, delays, and inefficiencies. Real-time data access was also lacking, hindering decision-making and customer service.

To overcome these challenges, ACERTUS turned to Confluent Cloud. Confluent's real-time data streaming platform enabled ACERTUS to connect its systems, break down data silos, and build an event-driven microservices architecture. This new architecture allowed for seamless data sharing across business units, empowering teams with self-service data access and real-time insights.

The implementation of Confluent Cloud brought about significant improvements in various aspects of ACERTUS's operations. The company streamlined its integration with partners like CarGurus, gaining real-time visibility into orders and enabling automated data processing. The shift to microservices improved team efficiency and agility, leading to faster development cycles and improved customer experiences. A centralized data warehouse, powered by Confluent, provided a single source of truth for all business data, eliminating the need for manual data collection and reconciliation.

ACERTUS also leveraged Confluent's Schema Registry and Stream Governance features to ensure data quality and consistency across its systems. This allowed them to confidently share data with external customers and partners, enabling real-time communications and improved collaboration. With Confluent, ACERTUS transformed its data landscape, unlocking new business opportunities and delivering enhanced value to its customers.

Value Results:

• Millions in new revenue generation with increased profit margins.

• Payable optimization for customers through real-time data streaming.

• Lower total cost of ownership (TCO) by freeing up Full-Time Employees (FTEs) from running Kafka or building connectors.

• Increased team efficiency and agility with self-service data access.