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Cloud Transformation in Cold Chain Logistics | Case Study

cloud transformation in logistics

Introduction

Cloud transformation is critical for cold chain logistics providers where infrastructure reliability directly impacts time-sensitive supply chains such as food and pharmaceuticals. Legacy data centers often limit scalability, increase operational risk, and hinder responsiveness to dynamic demand. This case study highlights how a global cold chain logistics provider adopted a cloud-first strategy to modernize its infrastructure. By leveraging hybrid cloud architecture and automation-driven migration, the organization improved resilience, ensured near-zero disruption, and created a scalable foundation for future digital operations.

Customer

A global cold chain logistics provider supporting temperature-controlled logistics, warehousing, and distribution for food and pharmaceutical supply chains.

Business Objective

  • Enable a cloud-first IT strategy
  • Improve infrastructure resilience and scalability
  • Reduce dependency on legacy data centers
  • Ensure zero disruption to critical operations
  • Support future digital and operational growth

Scope of Services

  • Migration of production and DR workloads to Microsoft Azure
  • Implementation of hybrid cloud operating model (MCOD)
  • Extension of cloud infrastructure across EMEA and APAC regions
  • Data center consolidation and migration
  • Infrastructure automation and digital twin modeling
  • Testing, deployment, and stabilization of cloud environments

Benefits

  • Improved infrastructure reliability and resilience
  • Faster response to operational and business needs
  • Standardized global infrastructure operations
  • Reduced operational risk for time-sensitive logistics
  • Scalable foundation for digital transformation

Impact

  • 70% of workloads migrated to Azure
  • 97% virtualization achieved
  • Near-zero downtime during migration
  • Near-zero data loss across systems
  • Improved operational continuity across global operations
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