Project Overview
The project aimed to unify and automate logistics data management for a global distributor struggling with fragmented systems and delayed reporting. We designed and deployed an Azure-based data platform that consolidated operational data across ERP and IoT sources, enabling real-time performance monitoring and data-driven decision-making across global supply chains.
Client Needs
The client needed real-time visibility into logistics KPIs and delivery performance to identify inefficiencies and reduce operational delays.
Challenges
- Data was siloed across ERP and IoT systems
- Manual reporting and delayed insights
- Lack of centralized data governance
Solution
We implemented a modern, cloud-native Azure data pipeline that leveraged:
- Azure Data Factory for orchestration
- Databricks + Spark for scalable transformation
- Delta Lake for versioned, high-quality data storage
- Power BI dashboards for real-time insights
Outcome
- 70% faster reporting cycle
- Unified source of truth for logistics operations
- Improved delivery efficiency and reduced bottlenecks