Gartner Research

Disruptive Technologies in Transportation: The Impact of Artificial Intelligence and Machine Learning

Published: 31 July 2017

ID: G00323952

Analyst(s): Bart De Muynck

Summary

Artificial Intelligence and machine learning technologies are a key part of digital business value creation in transportation. Supply chain leaders should prepare themselves and their organizations to leverage these disruptive capabilities for strategic advantage.

Table Of Contents
  • Impacts

Definitions

Analysis

Impacts and Recommendations

  • Adoption of AI will increase over the next five years through innovations such as autonomous vehicles, delivery robots and drones, greatly impacting the way companies execute transportation
  • Machine learning is changing the way traditional optimization engines plan transportation, evolving into software-based systems that are programmed to learn and adapt, rather than programmed only for a finite set of prescribed actions. This provides companies with a new set of capabilities never available before
  • AI has been used in transportation for a long time, but plays a role in an increasing number of use cases, such as predictive analytics and iterative planning, and intelligent things, such as autonomous trucks

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