Modernizing mission-critical applications for a major distribution and retail player

Migrating legacy systems to Azure with a scalable, GenAI-driven engineering model
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Overview

The organization is a leading provider of products, services and technology solutions through an integrated business-to-business (B2B) distribution platform and omnichannel presence. Its expansive operations include a world-class supply chain, dedicated sales professionals, an extensive online presence and a network of retail stores. As a major player in the distribution and retail sectors, it relies on a robust application ecosystem to maintain its complex B2B and consumer operations.

The Challenge

To maintain its competitive position, the client recognized the need to address significant risks within its application landscape. The existing environment faced several critical constraints:

The Challenge
  • Legacy infrastructure: 
    Critical business services were running on-prem or on unsupported AWS Kubernetes clusters.
  • Operational risk: 
    These legacy microservices were identified as high-risk, where any disruption could lead to direct revenue loss or a degraded user experience.
  • Technical debt: 
    The ecosystem was hampered by outdated frameworks, Java versions and operating systems. Many services were poorly documented, significantly increasing the complexity of any modernization efforts.
  • Security and stability: 
    Running on unsupported infrastructure increased both the risk of system failures and the presence of potential security vulnerabilities.

The Solution

HCLTech partnered to execute a strategic application modernization and development program. The initiative focused on transitioning legacy services to Azure while fundamentally improving application performance and reliability.

The Solution

Strategic implementation and modernization

End-to-end AppDev value stream mapping was conducted to trace the full SDLC from requirements to deployment, exposing systemic bottlenecks such as legacy infrastructure, high technical debt, fragmented handoffs, manual processes and documentation gaps impacting speed, stability and quality.

The project followed a phased implementation approach, prioritizing critical use cases based on the VSM findings.

Advanced AI integration:

A standout feature of the solution was the integration of GenAI and Agentic AI to accelerate the development lifecycle. Key tools utilized included:

  • GitHub Copilot (GHCP) and Cursor AI: 
    Used to automate and speed up the coding and modernization process.
  • Framework upgrades: 
    Systematic upgrades of Java, operating systems and service dependencies during the migration to Azure.

The Impact

The modernization program has delivered measurable financial and operational gains for customers:

The Impact
  • Accelerated digital execution across the B2B and omnichannel value chain:
    With 100% GenAI adoption, the AppDev teams achieved a 15% productivity improvement, 21% delivery velocity increase and 24% GenAI suggestion acceptance.
    • Business benefit - Fixing incidents faster helps keep e‑commerce and customer-facing applications available.
  • Faster time-to-market for supply chain and commercial initiatives:
    Improved sprint throughput and a 17% GenAI code acceptance rate allowed teams to deliver more user stories per sprint.
    • Business benefit - Helping customers rapidly roll out enhancements across order management and partner integration systems.
  • Improved operational reliability and customer experience:
    Migration to the Azure cloud eliminated legacy infrastructure risks, strengthening platform stability, security and scalability across critical applications.
    • Business benefit - Support customers' supply chain operations and digital customer journeys.

Beyond the Numbers

The success of this partnership stems from a cultural shift toward AI-driven efficiency. By moving away from poorly documented legacy systems and embracing an automated, GenAI-first approach, the development environment has become more agile and predictable. This transformation has empowered the team to handle increased scope without increasing overhead, turning the technical migration into a strategic engine for continuous improvement. The seamless adoption of these advanced tools reflects a strong alignment between HCLTech’s technical expertise and the client’s commitment to innovation.

Celebrating Success

HCLTech’s commitment to excellence was highlighted by the rapid and successful migration of legacy services from on-prem and to modern Azure architecture. The client particularly valued the high adoption rate of GenAI, which served as the primary driver for substantial efficiency gains.

Looking ahead, HCLTech plans to further advance this partnership by investigating Agentic AI approaches for proactive incident detection and automating more complex operational use cases. This continued focus on cutting-edge technology ensures that the client’s integrated distribution platform remains resilient and future-ready.

脳深部刺激療法 デジタルビジネス ケーススタディ Modernizing mission-critical applications for a major distribution and retail player