Application + Platform Development | AI-Powered Legacy Modernization | Manufacturing

From Legacy Constraints to a Platform Built to Evolve

A global transportation technology client relied on its Precision Dispatch platform for complex scheduling, routing, and operational logistics. More than 15 interdependent modules formed part of this mission-critical system.

Its aging C++ architecture, inconsistent interfaces, and manual testing made the platform harder to scale, maintain, and change. Aditi modernized the architecture, standardized the user experience, and introduced automated testing so teams could evolve the platform through shorter release cycles.

At a glance

More than 15 modules

Refactored into a cloud-ready microservices architecture

Release cycles

Updates deployed in weeks instead of months

Modernization scope

Architecture, user experience, and quality engineering

The Challenge

When a critical platform becomes harder to change

The Challenge

The dispatch platform had evolved into a complex mix of legacy code, disparate interfaces, and manual testing processes.

  • Legacy dependencies: The C++ codebase limited scalability, slowed feature delivery, and made integration with newer systems harder.
  • Frontend inconsistency: Modules had evolved independently, leaving fragmented interface patterns and an inconsistent user experience.
  • Manual testing: Time-intensive QA processes slowed releases and increased the risk of undetected regressions.

The client needed to re-architect core systems, create a more consistent interface, and automate validation while protecting critical operations during modernization.

The Solution

End-to-End Platform Modernization

The Solution

Aditi Consulting partnered with the client to deliver a fully managed modernization engagement, applying its Legacy Modernization Framework to transform the dispatch platform into a scalable, modular, and automation-ready ecosystem.

Through a combination of technical assessment, roadmap definition, and phased execution, Aditi conducted a comprehensive audit of the existing legacy systems to identify modernization priorities, defined a transformation roadmap aligned with operational and architectural dependencies, and applied its proven modernization accelerators to streamline migration and integration across the platform.

Modular Migration to Java 11

Aditi’s engineering team executed a structured migration from C++ to Java 11, refactoring more than 15 legacy modules into a cloud-ready microservices architecture designed for scalability, reusability, and long-term maintainability.

  • Established modular codebases to enable independent service deployment and version control
  • Introduced microservices design principles to decouple core functionalities and simplify future enhancements
  • Enabled integration readiness with analytics, automation, and emerging digital tools
  • Reduced technical interdependencies to minimize complexity in ongoing development cycles

Frontend Standardization & Design System

Modernization extended beyond backend systems to unify the platform’s visual, interaction, and component layers, enabling design consistency and streamlined front-end development.

  • Developed cross-library components using native web components for interoperability across modules
  • Established a centralized Design System to standardize UI patterns, branding, and accessibility standards
  • Introduced shared component libraries to accelerate interface development and ensure visual consistency
  • Aligned design and development workflows to promote collaboration between UX and engineering teams

Automation-Driven Testing Infrastructure

To modernize quality assurance and reduce manual effort, Aditi implemented an automation-first testing framework integrated into the CI/CD pipeline. This created a continuous, reliable validation layer across development and deployment stages.

  • Transitioned manual test suites into automated regression and integration test pipelines
  • Implemented continuous testing aligned with DevOps best practices
  • Expanded test coverage to improve visibility across service-level interactions
  • Integrated automated validation into the release process to ensure quality consistency and deployment readiness

Business Outcomes

From Legacy to Modern Dispatch

The modernization of the Precision Dispatch platform reshaped how the client manages, scales, and evolves its mission-critical operations.

Accelerated Time-to-Market & Agility

With modular services and automation in place, development teams can now deploy updates in weeks instead of months, dramatically shortening release cycles.

  • Agile iteration enables rapid introduction of new features without system downtime.
  • The platform’s microservices architecture allows independent scaling of high-demand modules.
  • Development and operations teams collaborate more efficiently through continuous integration workflows.

Improved Reliability, Efficiency & Performance

Automation and modernization combined to strengthen platform reliability while improving operational efficiency.

  • Automated testing and deployment reduced manual intervention and ensured consistent, high-quality releases.
  • Continuous monitoring and streamlined workflows improved uptime and responsiveness.
  • Root cause analysis became faster and more predictable, minimizing production disruptions.
  • Reduced maintenance and QA overhead freed internal teams to focus on innovation and value-added initiatives.
  • Consolidated architecture and testing automation lowered long-term support and infrastructure costs.

Enhanced User Experience

By integrating a centralized Design System, the client delivered a consistent, intuitive interface across all dispatch tools.

  • End users experienced a more cohesive and accessible interface across modules.
  • UI standardization improved usability and reduced onboarding time.
  • Developers gained a faster, more efficient way to extend the platform’s visual components.

Sustainable Modernization

Most importantly, the platform is now positioned for continued evolution—ready to integrate emerging tools across AI, analytics, and automation.

  • A scalable, cloud-ready foundation enables faster experimentation with predictive analytics and workflow automation.
  • The modular architecture ensures new digital initiatives can be implemented with minimal disruption.
  • The modernization created a resilient, sustainable platform that supports the company’s long-term growth roadmap.

What Changed

The platform became easier to change, scale, and build on.

The client moved from a dispatch platform whose tightly connected modules and manual validation made changes difficult to a modular system that can evolve in smaller increments. Shared interface components and automated testing gave teams a more consistent way to develop, validate, and release changes to a critical platform.

Technology Environment

Technology Environment

C++, Java 11, Native web components, CI/CD pipeline, Microservices architecture

Technology Environment

  • C++
  • Java 11
  • Native web components
  • CI/CD pipeline
  • Microservices architecture

Ready to modernize what matters without slowing down what works?

Let’s turn legacy complexity into a modular, resilient foundation built for continuous change.