- The client operates a digital manufacturing services orchestration platform that connects enterprises with distributed production partners for rapid prototyping and low-volume manufacturing.
- They provide an intelligent, web-based platform that optimizes design-to-production workflows, ensuring speed, scalability, and quality compliance across a distributed supplier network.
Success Story
About the Client
Business Needs | Scalability Challenges in Supply Chain Management
Outdated legacy architectures hindered real-time supply chain efficiency.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.
Solutions | Enhanced Operational Processes through AI and Cloud-Native Solutions
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.
Business Impact | Achieved 40% Faster Production
- Reduced time-to-production by over 40% through automated scheduling and partner selection.
- Improved forecast accuracy-to-execution alignment, enabling rapid manufacturing decisions.
- Increased visibility across supplier networks, which reduced downtime and rework.
- Accelerated new product introduction (NPI) through continuous integration and instant feedback loops.
- Strengthened platform agility: new capabilities could be deployed in weeks rather than months.
Technology Stack
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