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Case study

The challenge

Elizabeth River Crossings realized that its on-premises legacy technology could not keep pace with other tolling operators’ transition to all-electronic tolling. To capture insights, identify process inefficiencies and bottlenecks, and uncover revenue fluctuations, the operator needed greater flexibility and agility. ERC wanted to address toll transaction losses and the redundancy of operating two data centers in the same region—both located in 100-year flood plains. At the same time, ERC wanted to improve license plate recognition, capture all toll transactions, maximize revenues and deliver customer friendly, accurate invoicing. To address the challenges brought on by the legacy system, ERC engaged Cognizant for an end-to-end digital transformation to migrate and modernize its data center and back-office operations.

Our approach

A proprietary cloud migration framework and toolset enabled ERC to migrate the existing data center quickly, seamlessly and in the least disruptive manner. The new cloud-native, serverless solution enables ERC to automatically scale, allowing the operator to cut operational costs by 40%. The Cognizant Digital Tolling Solution delivers end-to-end real-time visibility, empowering toll operators to eliminate inefficiencies and redundancies, and identify what actions should be taken and when. By using advanced artificial intelligence (AI), self-service and cognitive capabilities, the system delivers omnichannel customer service built on a modern, secure microservices architecture.

End-to-end Digital Tolling Solution

Our solution brings a range of business benefits, including 100% application and infrastructure availability as well as cost benefits resulting from the digital transformation. The solution provides a 360-degree view of any toll transaction with comprehensive, real-time information. The solution also enables ERC to handle accounting matters—such as closing the quarterly books—on time and accurately. As a result, ERC’s operational costs have been reduced by 40%, along with lower cost and time requirements for reviewing images and manual errors using the new OCR license plate review engine.


of infrastructure refresh cost and process eliminated


reduction in data center leasing and maintenance costs


savings on annual software license cost