Based in Arco, Italy, this global logistics leader offers extensive road, freight, air, and sea services, delivering tailored supply chain solutions worldwide. Amid fierce industry competition, they sought to enhance reporting and reduce operational latency. This case study details their transformation using Confluent Kafka, achieving substantial business improvements.

The logistics provider faced several challenges that threatened its competitive edge and operational efficiency:

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  Difficulty in reducing latency in data reporting.
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  Complexity in normalizing diverse data formats.
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  Challenges in integrating operations seamlessly into the cloud.
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  Need for precise forecasting using historical and real-time data.
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  Struggle to enhance operational efficiency amidst complex logistics infrastructures.

To address these challenges, the logistics provider implemented a comprehensive, cloud-based transportation management system (TMS) with event-driven architecture and Confluent Kafka as the foundation. The solutions included:

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  Custom-built TMS
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  Cloud-native Kafka solution
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  Unified data management
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  Predictive analytics