Rearchitected the data technology stack for a leading US-based load-handling venture to achieve a robust and efficient connected logistics platform for improved fleet efficiency, forecasting, and transparency.
Business Goals
- The client approached us to modernize their data platform to reinforce logistics and load-handling business operations with real-time fleet analytics, providing detailed insights and more comprehensive transparency for effective fleet management.
Solution
We extensively assessed their data technology stacks and identified the gaps in realizing the connected logistics intelligence. Our data engineering team devised a proper data stack modernization roadmap involving sunsetting obsolete platforms and integrating modern and efficient data cloud services and tools.
Key Highlights
- Orchestrated the data pipeline with Amazon S3 cloud services and the Talend management platform for better efficiency and real-time synchronization.
- Leveraged AWS Kinesis for seamless data streaming and ingestion from the fleet network.
- Simplified the data storage with AWS EMR and utilized Apache spark for efficient large-scale data processing.
- Brough in highly interactive real-time dashboard application to derive insights and report generation using Tableau.
Outcomes
- Operational efficiency has been increased by 34% by effective forecast planning and eliminating process inefficiencies.
- Access to a holistic business data platform that provides rich real-time insights across the business function for strategic decision-making.
Technologies Used: Amazon S3, Kinesis, EMR, Apache Spark, Talend, Tableau
