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Analyst Report
GARTNER® EMBRACING THE FUTURE: A GUIDE TO SUCCESSFULLY IMPLEMENT AI/ML IN SUPPLY
CHAIN PLANNING
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In an era of constant disruptions, supply chain leaders must embrace the power
of Artificial Intelligence and Machine Learning (AI/ML) to stay ahead of the
curve. Traditional planning methods that rely on past data are no longer
sufficient in a rapidly evolving landscape. To help you embrace this paradigm
shift, John Galt Solutions is pleased to offer the complimentary research note,
"Guide to Successfully Implement AI/ML in Supply Chain Planning" by Gartner to
help you build a roadmap for success.
WHY YOU NEED THIS GUIDE
* Stay Ahead of the Competition. According to Gartner, “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 their competitors.”
* Start Smart. Gain access to key recommendations for getting started. For
example, “Start with a no-risk data-driven use case: Leverage the basic
automation and AI/ML functionality in the existing planning tool to perform
basic planning and data analytics, and to build planner skills.”
* Insights for Building a Mature Operating Model. As per Gartner, “Define how
you intend to combine human domain knowledge and advanced analytics to drive
optimal decision making across simple, complicated, complex and chaotic
decisions.”
* Align with Market Trends. Recent research by Gartner shows that “planning
leaders ranked AI/ML as their top digital priority among technologies that
they are piloting or deploying.” For organizations that haven’t invested, now
is the time to embrace AI/ML and plan for deployment to gain a competitive
advantage.
Read this guide to help you strategize a plan to successfully implement AI/ML in
your supply chain planning, stay competitive, enhance agility, and drive better
decision-making.
As a recognized leader in supply chain planning, John Galt Solutions is pleased
to offer this complimentary guide as part of our continuous efforts to support
companies in their journey to supply chain planning maturity and success.
Gartner, A Guide to Successfully Implement AI/ML in Supply Chain Planning, 2023.
Brenda Westbrook, Caleb Thomson. 15 May 2023
GARTNER DISCLAIMER
Gartner is a registered trademark and service mark in the U.S. and
internationally and are used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research
publications, and does not advise technology users to select only those vendors
with the highest ratings or other designation. Gartner research publications
consist of the opinions of Gartner’s research organization and should not be
construed as statements of fact. Gartner disclaims all warranties, expressed or
implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.
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