Logistics at the Speed of Data
Ever-growing shipping volumes fuel the need for collecting, managing and developing actionable insight from the data created within transportation networks. This paper outlines important disruptive technologies in logistics and some mitigation concepts.
As the networks and partnerships within a logistics ecosystem are becoming increasingly more complex, data-driven and competitive, the creation and operational management of these networks require the use of intelligent, and in many cases, automated approaches to their optimization within the supply chain.
This paper will identify several key technologies and techniques that will be playing a part in this data-driven revolution, among these are, for example:
- Cloud-based platforms
- Microservices and APIs
- Blockchain
- Internet of Things
- Artificial Intelligence and Machine Learning
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