Gartner Research

Embracing the Future: A Guide to Successfully Implement AI/ML in Supply Chain Planning

Published: 15 May 2023

Summary

Constant disruptions confront supply chains, signifying that the future will no longer reflect the past. Traditional planning methods that focus inward and look backward will no longer be sufficient. Supply chain planning leaders must recognize this and enhance their capabilities to include AI/ML.

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Overview

Impacts
  • Supply chain organizations that do not implement AI/ML supported planning processes will be unable to derive insight into market dynamics and define agile responses — thus lagging behind their competitors.

  • Building the business case to start with widespread deployment will be difficult, guiding supply chain planning leaders to start with smaller use cases and then scale.

  • Planning and data science teams must have the ability to obtain, analyze, manage and govern data to create more optimal planning heuristics.

  • Planning organizations without the maturity to drive cross-functional decision making, with greater reliance on external data, will not be able to make

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