Gartner Research

Artificial Intelligence in Supply Chain: Pursue Short-Term Benefits and Mitigate Future Roadblocks

Published: 22 June 2017

ID: G00329673

Analyst(s): Noha Tohamy

Summary

Supply chain leaders responsible for analytics and digital strategy grapple with understanding the potential role of artificial Intelligence in the supply chain. This research demystifies the hype and presents near-term uses for and hurdles facing the adoption of AI in supply chains.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • AI pattern identification and self-learning abilities support lower-order supply chain use cases like data harmonization and transaction management
  • Extending enterprise application with conversational AI capabilities derives additional ROI from underutilized technology solutions
  • Adopting the building blocks of AI, while tracking the future vision, offers shorter-term improvements in supply chain processes
  • Lack of good quality and representative data limits the potential of deploying advanced techniques, like deep learning, in intelligent process automation
  • Successful AI deployment requires the supply chain organization to secure abundant, ongoing data science talent

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