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As worldwide complexity grows, the ability to run global supply chains at peak efficiency becomes more and more challenging. Real-time process optimization and simulation are becoming increasingly important tools for supply chain management. As companies around the world recover, demand is growing for promising features of data analytics, such as mitigating disaster risks, simulating operations, and improving customer service. COVID-19 has caused unprecedented uncertainty in supply chains globally, affecting how goods are moved and altering consumer demand and behavior.īig data analytics holds the key to uncovering hidden issues across entire supply chains and surfacing trends that are not so obvious. The need for visibility and prediction is ever-more pressing. Surging demand for personalized and context-based services has driven development of artificial intelligence (AI) and machine learning applications which, in turn, have upped the need for larger datasets in the industry for better results.Īdditionally, the rapid migration of enterprise data storage from traditional datacenters to the cloud has provided more flexibility in effectively scaling storage and processing power for all collected data.
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Since its arrival in the first edition of the DHL Logistics Trend Radar in 2013, Big Data Analytics has developed and today is increasingly becoming part of the de-facto operating model for the logistics industry. Press Contact DHL Global Forwarding / DHL Freight.
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