Technologies Used: C++, Node.js, Microsoft Azure, Azure IoT Hub, Azure Machine Learning, Power BI, Docker, Kubernetes, Microservices Architecture, MQTT, OPC UA

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Excelium implemented a comprehensive supply chain optimization solution that leveraged IoT, AI, and predictive analytics. Our platform provided real-time visibility into the entire supply chain, enabled intelligent inventory management, and optimized production schedules. Our team:

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1. Designed and implemented a scalable, secure backend architecture using Node.js and Microsoft Azure

2. Developed a real-time monitoring system using Azure IoT Hub, enabling end-to-end visibility into the supply chain

3. Implemented predictive analytics and machine learning models using Azure Machine Learning, enabling accurate demand forecasting and inventory optimization

4. Integrated with the client's existing ERP and MES systems, ensuring seamless data flow and interoperability

5. Developed interactive dashboards and reports using Power BI, providing actionable insights and facilitating data-driven decision-making

6. Deployed the solution using Docker and Kubernetes, ensuring high availability, scalability, and fault tolerance

7. Implemented secure communication protocols, including MQTT and OPC UA, ensuring data integrity and privacy

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Our team worked closely with the client to ensure that the solution met their needs and delivered measurable results.