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Modernization of Supply Chain Platform through Microservices Architecture
  1. case
  2. Modernization of Supply Chain Platform through Microservices Architecture

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Modernization of Supply Chain Platform through Microservices Architecture

jalasoft.com
Logistics
Automotive
Food & Beverage
Health & Fitness

Challenges in Modernizing Legacy Supply Chain Systems

Existing monolithic architecture hindered scalability and agility in supply chain solutions, requiring transformation to microservices while maintaining reliability for critical clients like Bosch and Johnson & Johnson

About the Client

Technology solutions provider specializing in end-to-end supply chain optimization with AI integration and sustainability focus

Strategic Modernization Goals

  • Implement scalable microservices architecture for 10x user capacity
  • Reduce processing time by 30% through architectural optimization
  • Enable independent scaling of critical components like inventory management
  • Establish foundation for AI-driven logistics solutions
  • Improve fault tolerance and maintenance efficiency

Core System Capabilities

  • Containerized microservices with Kubernetes orchestration
  • Independent service scaling capabilities
  • Real-time inventory and order processing modules
  • Cloud-native data pipelines for analytics
  • API gateway for seamless system integration

Technology Stack Requirements

.NET
C#
TypeScript
Azure DevOps
JavaScript
Java
Docker
Kubernetes

System Integration Needs

  • Cloud-native monitoring tools
  • Enterprise resource planning (ERP) systems
  • Third-party logistics APIs
  • AI/ML model deployment frameworks

Operational Requirements

  • 99.99% system availability
  • Horizontal scalability to 100K+ concurrent users
  • Sub-50ms latency for critical transactions
  • Automated CI/CD pipelines
  • Role-based access control (RBAC) security model

Expected Business Transformation

Platform modernization will enable 10x user growth capacity, 30% faster processing cycles, and independent scaling of critical logistics components while establishing foundation for AI-driven predictive analytics and sustainable supply chain solutions

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