German Automotive OEM
Functional Topic & Business Objective
Digital transformation, manufacturing data visualization, and production process optimization.
Build a centralized data acquisition and visualization platform capable of displaying real-time machine and production data while supporting planning and scheduling of production orders and production tools, along with efficient master data management.
The objective was to improve operational transparency, streamline manufacturing workflows, and enable data-driven decision-making across production lines.
Industry
| Client | German Automotive OEM |
|---|---|
| Segment | Enterprise - Manufacturing & Industrial Production |
| Platform | Modern cloud-based application development |
Problem Statement
The customer required a modern and scalable solution to address challenges related to fragmented production data and limited visualization capabilities across manufacturing systems.
The key challenges included:
- Lack of centralized visualization for machine and production-line data
- Difficulty in monitoring production orders and scheduling activities efficiently
- Need for structured management of master data and industrial tooling assets
- Requirement for real-time operational visibility within manufacturing environments
- Demand for a scalable cloud-native architecture capable of integrating multiple data sources
The objective was to improve production transparency, simplify operational workflows, and enable faster data-driven decision-making.
Our Role & Contribution
The engagement involved end-to-end frontend development and enhancement activities within a cloud-native manufacturing platform.
- Development of the React-based frontend application
- Enhancement and expansion of critical business modules
- Design and implementation of production line data display module
- Development of tool management module for organizing and monitoring industrial production tools
The solution provided rich and interactive visualization for production-line monitoring, including machine status views, operational data representation, and structured dashboards for manufacturing insights. The tooling module supported management of industrial production assets through capabilities for creating, grouping, categorizing, and displaying tooling information in a centralized interface.
Solution Overview
A cloud-native manufacturing visualization platform was designed and implemented to support production planning, scheduling, tooling management, and real-time production monitoring.
The solution enabled:
- Real-time visualization of machine and production-line data
- Centralized management of production orders and scheduling workflows
- Structured master data governance
- Digital management of industrial production tools and equipment groupings
- Scalable and secure cloud-based application deployment
The implemented platform improved operational transparency and provided manufacturing stakeholders with a unified interface for monitoring and managing production activities.
Technology Stack
| Backend | Backend |
|---|---|
| Frontend | React, Typescript, MHP style library |
| Authentication | Keycloak / JWT with role and attribute-based access control |
| API Documentation | SpringDoc / SwaggerUI |
| Cloud & DevOps | AWS Lambda, API Gateway, AWS Cognito, AWS Amplify |
| Code Quality | SonarQube (enforced in CI pipeline) |
| Development Methodology | Agile Scrum |
| Integration & APIs | REST APIs |
| Source Control | Gitlab |
| Keywords | #AWS #React #Python #FullStack #Serverless #CloudNative #Manufacturing #DataVisualization #Agile #Scrum #Automotive #DigitalTransformation |
Delivery Context
| Environment | Internal infrastructure |
|---|---|
| Team Setup | Full-stack team with onsite-offshore model, continuous coordination between frontend, backend, and customer stakeholders workstreams running in parallel |
| Stakeholder Collaboration | Worked closely with stakeholders to define access control rules and risk workflow requirements |
| Development Approach | Multinational Agile Scrum environment |
Implementation Scope
The engagement covered frontend application development, enhancement of existing business modules, integration with backend services, and ongoing support activities.
- Development of React-based UI components and dashboards
- Enhancement of production line monitoring capabilities
- Tool management and grouping functionalities
- Integration with cloud-native backend services
- Production support and enhancement delivery within Agile sprints
The project evolved from an initial short-term engagement into an extended development and enhancement initiative.
Key Achievements & Business Impact
The implemented solution improved visibility into manufacturing operations by enabling centralized visualization of production and machine data.
- Supported more efficient monitoring of production activities and streamlined management of tooling and scheduling processes
- Engagement extended from 1-1.5 months to nearly 6 months due to continued business value delivery and customer satisfaction
- Positive stakeholder feedback and continued collaboration opportunities within related teams
Differentiators & Highlights
Several aspects made this engagement significant for digital manufacturing initiatives.
- Cloud-native manufacturing visualization platform using modern AWS serverless technologies
- Real-time production line data visualization and monitoring capabilities
- Integration of tooling management and scheduling functionalities within a unified platform
- Agile delivery in a multinational and cross-functional environment
- Strong collaboration between frontend, backend, and customer stakeholders
- Scalable and maintainable architecture aligned with digital manufacturing initiatives
- Successful extension of engagement based on customer satisfaction and delivery quality
