Strategy and Solutions
A global retailer with hundreds of stores and a thriving e-commerce presence relied on homegrown order and inventory systems built as monoliths. These systems were central to daily operations but increasingly hindered scalability and responsiveness during growth periods.
Modernizing these systems was critical for the retailer to maintain competitive parity with digital-first rivals.
The legacy systems posed recurring problems. Seasonal peaks like Black Friday often led to downtime and lost sales. Rolling out even minor features required months because changes affected the entire codebase. Integrations with supply chain and CRM platforms were cumbersome, limiting responsiveness to demand fluctuations.
For a retailer operating at global scale, the inability to scale seamlessly or innovate quickly meant significant competitive disadvantage.
Downtime during peak shopping seasons dropped to near zero, even under massive traffic loads. Scaling to meet seasonal demand became effortless with auto-scaling infrastructure. Feature release cycles improved dramatically, from quarterly to bi-weekly, enabling faster innovation. Customers enjoyed more reliable order tracking and faster checkout experiences, boosting satisfaction.
The shift enabled the retailer to compete with digital-first e-commerce leaders on equal footing.
Zymr orchestrated a monolith-to-microservices migration. Key modules—including inventory, payments, and order management—were decoupled into independent microservices. Containerization and Kubernetes orchestration enabled resilient, elastic scaling. We introduced an API gateway layer to integrate seamlessly with existing CRM, logistics, and supply chain platforms.
The migration followed a staged rollout strategy. Old and new systems ran in parallel until stability was validated, reducing disruption risk. To accelerate innovation, CI/CD pipelines were set up to allow bi-weekly releases and modular code ownership.
The new architecture created a robust foundation for scaling and innovation.
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