Outdated legacy architectures hindered real-time supply chain efficiency. The client sought advanced solutions to enhance partner allocation and support agile manufacturing processes.
The following were the key issues with the platform:
- Lacked scalability for real-time partner allocation and scheduling within the legacy architecture.
- Needed to evolve into an AI-assisted supply orchestration system capable of dynamically matching demand to the right supplier based on capacity, geography, and lead time.
- Required global collaboration features to coordinate between design, production, and logistics teams seamlessly.
- Needed to shorten time-to-production and feedback-to-design loops to support agile manufacturing.
Cybage engineered an execution-ready orchestration layer that enabled several key advancements.
- We delivered AI-assisted partner recommendation and scheduling to support planner decisions, enhancing the client’s supply chain optimization platform.
- We provided a Cloud-native platform modernization solution with microservices, React UI, and GraphQL APIs for scalable integrations.
- We implemented workflow automation, aligning order demand, production readiness, and logistics execution.
- Cybage team offered a multi-tenant architecture that allowed new partners and clients to onboard rapidly.
- We built a CI/CD pipeline and containerized infrastructure to ensure rapid iteration and resilience.
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