Client
Multinational Automotive
Manufacturer
Industry
Automotive
Technologies
Linux, Docker, Node.js, IBM MQ, Oracle Database, Grafana
About the project
The project addressed the challenges posed by an outdated and inefficient interface for converting SAP IDoc data manually. Our solution involved preserving the existing interface while integrating new components built on modern technologies, including Linux, Docker, Node.js, IBM MQ, Oracle Database, and Grafana.
Challenges
Our team faced several challenges, including the inefficiency of the existing interface and the manual effort required for SAP IDoc data conversion. Bridging the gap between legacy systems and modern technologies while ensuring seamless integration posed a few hurdles along the way.
Solution
Our team devised a comprehensive solution that preserved the existing interface while integrating modern components to automate data conversion and streamline logistics processes. Leveraging technologies like Linux, Docker, Node.js, IBM MQ, Oracle Database, and Grafana, we ensured a seamless transition to a more efficient system.
Technologies used
Results
The implementation of the new solution brought about tangible benefits, including increased efficiency, improved scalability, and enhanced monitoring capabilities. Automation of data conversion reduced manual effort, while modern technologies enabled easier scaling to accommodate future growth. Real-time data visualization provided valuable insights for better logistics management, ensuring smoother operations.