Strategy and Solutions

Zymr led a phased modernization initiative involving re-architecture, DevOps, and cloud-native engineering. The legacy monolith was decomposed into 18 Spring Boot microservices, deployed on AWS ECS Fargate with blue-green deployment. Event-driven workflows were automated using Apache Camel and AWS Step Functions, supported by RPA bots for tasks like invoice reconciliation. A GraphQL gateway unified API access, and vendor-specific adapters were built for interoperability. A unified data lake on Amazon S3 fed ETL pipelines into Redshift for BI dashboards, while ML models improved demand forecasting. RBAC was enforced with Keycloak and Okta, with encryption via AWS KMS.

About the Client

A multinational enterprise providing logistics and supply chain optimization services across 30+ countries. The client aimed to modernize its legacy ERP and warehouse management platforms to improve operational agility and integrate with third-party vendors, IoT sensors, and AI-based forecasting engines.

Key Outcomes

Enabled seamless onboarding of 10+ new vendors.

Reduced shipment processing latency by 45%.

Business Challenges

The client was constrained by a COBOL-based monolithic ERP system that was expensive to maintain and unable to scale. Fragmented operations across procurement, inventory, and shipment led to workflow inefficiencies and delays. Non-standardized APIs hindered vendor onboarding, and operational data was siloed across disparate platforms, limiting visibility. Additionally, the system lacked modern access controls and compliance with SOC 2 and ISO 27001 requirements.

Business Impacts / Key Results Achieved

The client accelerated vendor onboarding by 60% and reduced operational costs by 30% through automation. Real-time analytics adoption improved forecast accuracy by 40%, while full SOC 2 compliance was achieved within 90 days.