Modernizing Legacy Software with AI-Assisted Engineering

Overview

The client provides warehouse management and supply chain software designed to help distribution, manufacturing, and logistics organizations manage their operations and improve efficiency.

As its software portfolio evolved, established applications became increasingly difficult to evolve while newer technologies introduced opportunities for a stronger technical foundation.

Creative Software International integrated experienced .NET Developers into the client's engineering organization, contributing to application evolution, new platform architecture, and AI-assisted development practices.

About the Client

The client is a provider of warehouse management and supply chain software for distribution, manufacturing, and 3PL operations. Its solutions support areas such as inventory management, order fulfillment, warehouse operations, integrations, and real-time visibility.

Challenge

The client was managing a complex ecosystem of established warehouse management applications. One legacy application served as the central entry point to dozens of independent applications, creating dependencies that made broader technology changes increasingly difficult.

The existing architecture also presented limitations around scalability and made it challenging to introduce newer technologies while preserving the functionality required by business-critical warehouse operations.

Solution

Using a Staff Augmentation model, the client added experienced .NET Developers with expertise in .NET, C#, WinForms, Blazor, Telerik, SQL, and AI-assisted development with Claude, supporting both legacy application modernization and next-generation platform initiatives.
  • Application Development & Enhancement

    Engineers contributed to an existing warehouse workstation application, including functionality, user experience, maintainability, and ongoing development.

  • New Platform Architecture

    The team participated in designing a Blazor-based web platform that created a path for progressively replacing parts of the existing application ecosystem.

  • AI-Assisted Development

    Claude was incorporated into the engineering workflow to support AI-assisted software development practices.

  • Engineering Practices

    The collaboration contributed to contemporary development practices and coding standards.

Results

The engagement established a path for the client's software portfolio to evolve incrementally rather than requiring an immediate transition away from established applications.
  • Evolved Legacy Applications: Existing warehouse management applications underwent significant technological and architectural improvements, including major refactoring.
  • Scalable Technology Foundation: The new Blazor-based architecture provides a path for progressively replacing legacy applications.
  • Faster Development: AI-assisted development with Claude contributed to productivity improvements and reduced development timelines.
  • More Consistent Engineering Practices: Updated development practices and coding standards provided a stronger foundation for future software initiatives.