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Legacy Modernization | Retail

From Legacy Constraints to Delivery at Scale

A global retail and logistics leader relied on a mission-critical delivery platform supporting real-time customer experiences across millions of interactions each day.

As the business expanded worldwide, the platform’s aging architecture had become increasingly difficult to scale and maintain. Aditi modernized the underlying platform to improve engineering agility, strengthen resilience, and create a foundation that could evolve with the demands of the business.

At a glance

Modernization scope

Architecture, delivery capabilities, and technical debt

Target state

Cloud-native, modular platform

Core capabilities

Change Delivery Address and Pre-Ship Cancel

The Challenge

When the systems behind delivery start holding growth back

The Challenge

The platform had become a critical part of the global fulfillment experience, but its monolithic architecture and accumulated technical debt were creating constraints across the business.

  • Performance bottlenecks: Rigid legacy components limited throughput and slowed the delivery of new features.
  • Engineering inefficiency: High maintenance overhead and complex dependencies consumed resources that could otherwise support innovation.
  • Limited modernization readiness: The existing architecture made it harder to integrate emerging cloud services and newer delivery technologies.

The organization needed to preserve business continuity while creating greater agility, improving performance, and preparing the delivery ecosystem for continued growth.

The aging environment also introduced operational risk as the platform scaled across a growing global delivery ecosystem.

The Solution

Modernizing the foundation around what the business needed next

The Solution

Aditi led a targeted modernization initiative using its Legacy Modernization Framework to assess the legacy environment, guide modernization priorities, and execute replatforming and refactoring.

Architectural Replatforming

The legacy Perl-based environment was migrated to an AWS-native Java architecture.

  • Decoupled services to support independent deployment
  • Improved platform resilience, observability, and maintainability
  • Established a cloud-ready foundation for greater scalability
  • Enabled the platform to support global transaction volumes and peak loads

Refactoring Core Delivery Capabilities

High-volume delivery capabilities were modernized around cloud-native engineering principles.

  • Change Delivery Address: Modernized for real-time address synchronization, improving precision and transaction speed.
  • Pre-Ship Cancel: Refactored to handle concurrent workloads more efficiently and reduce friction in the pre-fulfillment process.

Reducing Technical Debt

The team eliminated legacy dependencies, improved maintainability, and aligned the platform with modern DevOps practices.

This reduced recurring maintenance effort while establishing a foundation for future automation, observability, and continuous modernization.

Business Outcomes

Lower Technical Debt and Maintenance Burden

Simplified architecture, retired decades of redundant legacy code, reduced brittle dependencies, and improved code reusability lowered long-term maintenance costs and total cost of ownership.

Greater Engineering Velocity

Cleaner codebases, modular services, improved automation, and stronger test coverage accelerated deployment cycles and created a faster feedback loop between development and operations—improving productivity, release frequency, and developer satisfaction.

Scalability for Changing Demand

The cloud-native architecture introduced elasticity and distributed processing, enabling horizontal scaling across fluctuating workloads while maintaining response times and reliability through volume spikes and new feature rollouts.

Stronger Operational Resilience

Improved architecture and maintainability strengthened stability and performance consistency, reduced downtime risk, simplified issue resolution, and improved overall system health.

A Better Delivery Experience

The modernization improved the speed, reliability, and responsiveness of delivery experiences, reinforcing customer confidence and satisfaction. Reduced latency, improved reliability, and a more consistent, responsive interface strengthened the user journey and supported greater brand loyalty.

What Changed

The platform became easier to evolve as the business grew.

The organization moved from a tightly coupled legacy environment toward a modular, cloud-native foundation.

Engineering teams could spend less effort working around legacy dependencies and more effort building and evolving the platform. Delivery capabilities became more responsive, while the underlying architecture was better prepared for changing demand, future technologies, and continued modernization.

Technology Environment

Technology Environment

Perl, Mason, Java, AWS, Cloud-native architecture, Microservices, DevOps practices

Technology Environment

  • Perl
  • Mason
  • Java
  • AWS
  • Cloud-native architecture
  • Microservices
  • DevOps practices

Ready to modernize what matters without slowing down what works?

Let’s turn legacy complexity into a foundation built to scale, evolve, and deliver better outcomes.

Talk to us