Gartner Research

Find Inspiration in 10 Use Cases of Artificial Intelligence in the Supply Chain

Published: 07 September 2017

ID: G00337824

Analyst(s): John Johnson, Noha Tohamy

Summary

Artificial intelligence carries great potential to revolutionize supply chain processes. This research offers supply chain leaders 10 AI use cases across various functions to inspire their own AI journey.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Get Inspired by Early AI Pilots in the Supply Chain
    • 1. AI Improves Data Quality and Reduces the Need for Manual Intervention
    • 2. AI Senses and Shapes Demand Through Direct Customer Engagement
    • 3. Conversational Artificial Intelligence Offers Interactive User Experience With Existing Technologies
    • 4. AI Improves Performance and Extends Transportation Capacity
    • 5. AI Identifies Hidden Patterns in Market Data Through Machine and Deep Learning
    • 6. AI Capitalizes on IoT Data to Create an Intelligent Digital Twin in Manufacturing
    • 7. AI Extends Existing Supply Chain Planning Capabilities
    • 8. AI Identifies Risk Exposure and Offers Actionable Mitigation Strategies
    • 9. AI Supports Improving Customer Service Levels in Postsales Interactions
    • 10. AI Supports Efficient Processing of Supplier RFP Responses

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