Gartner Research

Five Things Supply Chain Strategists Need to Know About Machine Learning

Published: 22 September 2015

ID: G00291632

Analyst(s): Noha Tohamy

Summary

Machine learning is a powerful approach to identify complex patterns in the supply chain. This research offers the supply chain strategist five key factors to consider when the exploring the fit of machine learning.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Realize That Machine-Learning Techniques Are Most Suited to Analyze Volumes of Data in a Fast Response Time
  • Understand That "Machine Learning and Human Judgment" Are Required, Not "Machine Learning or Human Judgment"
  • Ensure That Machine Learning Is Only One of Many Advanced Techniques in Your Analytics Toolbox
  • Determine Whether Now Is the Right Time for the Organization to Embrace Machine Learning
  • Carefully Choose the Initial Machine-Learning Use Cases That Promise the Highest ROI

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