Case Study

High-Performance Middleware for Enterprise Retail

Whirlpool Corporation (U.S.) is a leading American home appliance manufacturer serving millions of households across the United States through direct-to-consumer and retail channels. Its U.S. operations manage complex commerce, fulfillment, and logistics ecosystems that require reliable digital infrastructure to support branded product lines, including Gladiator. Ensuring seamless integration between e-commerce platforms and enterprise logistics systems is critical to maintaining operational efficiency and customer satisfaction.

Get the case study

35%

Reduced feature deployment timelines

40%

Improved order status synchronization accuracy

The challenge

Whirlpool required a stable, high-performance integration between its Gladiator Shopify storefront and SAP logistics platform to ensure seamless order processing and delivery visibility. The existing middleware, developed across two legacy versions, carried significant technical debt, limited documentation, evolving SAP SOAP APIs, partial technology migration, and incomplete CI/CD implementation.

“ParallelStaff faced the dual challenge of modernizing the architecture, integrating newly released SAP APIs, and enhancing delivery tracking and monitoring capabilities, all while maintaining uninterrupted live eCommerce and logistics operations”

Our solution

ParallelStaff re-architected its middleware as a fully Rust-based, serverless solution on AWS Lambda, unifying the stack for better performance and reliability. The overhaul added a DynamoDB layer for delivery lifecycle control, strengthened SAP and Shopify integrations (GraphQL/SOAP), improved monitoring, and rebuilt CI/CD for structured testing and automated deployments. The result: a scalable, resilient integration layer with less technical debt, greater operational transparency, and a platform ready for long-term growth.

Our delivery model

parallelstaff- A graphic showing Your Team in a dark circle connected to a logo on the left and five illustrated people, two in color and three in grayscale, representing team members.
Explore staff augmentation

Technologies used

The results

Reduced feature deployment timelines by 35%

through CI/CD optimization and serverless architecture improvements, enabling faster rollout of eCommerce enhancements.

Decreased production incidents by 30%

by eliminating legacy technical debt, consolidating the technology stack in Rust, and implementing enhanced monitoring across AWS.

Improved order status synchronization accuracy by 40%

and reduced manual intervention in delivery tracking by 50%, strengthening customer communication and operational efficiency.

Increased system scalability to support 3x higher transaction volume

without additional infrastructure overhead, positioning the platform for sustained growth and API expansion.

Get the full case study delivered to your inbox. Just fill in your details.