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
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