Gartner Research

Machine Learning 101 for Supply Chain Leaders Part 3: Prioritize Use Cases and Gauge ROI

Published: 05 February 2018

ID: G00349014

Analyst(s): Noha Tohamy


Machine learning's potential to augment and automate decision making across the supply chain cannot be underestimated. This research provides supply chain leaders responsible for artificial intelligence and analytics with best practices in prioritizing ML use cases and gauging ROI.

Table Of Contents


  • Choose Supply Chain Use Cases That Increase the Likelihood of Machine Learning Success
  • Learn From Early Industry Experience With Machine Learning
  • Clarify Expected ROI From Machine Learning Investments
  • Clearly Identify Risks Associated With Short-Term ML Adoption

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