AUSTIN, TX – May 19, 2022 – John Galt Solutions, automating supply chain planning to empower business leaders to make better decisions faster, today announced the company is named a Leader in the 2022 Gartner Magic Quadrant for Supply Chain Planning Solutions. In addition, John Galt Solutions scored the highest of the vendors evaluated in all five use cases of the Critical Capabilities for Supply Chain Planning Solutions, companion research to the 2022 Gartner Magic Quadrant for Supply Chain Planning Solutions.  

Companies around the world and across industries turn to John Galt Solutions’ Atlas Planning Platform to power their digital transformation initiatives, elevate supply chain performance, and quickly unlock value. By transforming real-time data across the extended enterprise network into visibility, knowledge and operational strategies, the Atlas Planning Platform helps companies transform their business models for the digital world and both focus on solving today’s pressing challenges and be ready for future opportunities.  

Increasingly, supply chain is recognized as the catalyst for digital transformation to deliver a competitive edge, navigate ongoing disruptions, mitigate risks, and seize new market opportunities for profitable growth. John Galt Solutions’ innovations in supply chain planning, advances in machine learning and artificial intelligence, and unmatched customer service ensures leading organizations can solve their critical needs today while charting their path forward supported by next generation technology.  

“Supply chains around the world are strained to levels we have not seen before as organizations grapple with the unprecedented combination of fluctuating demand, unpredictable supply, labor and transportation shortages, and financial volatility,” said Anne Omrod, founder and CEO, John Galt Solutions. “We believe our placement as a Leader in this Magic Quadrant as well as receiving the highest score in all five uses cases of the Critical Capabilities reinforces John Galt Solutions is well-positioned to help companies navigate today’s complex market shifts while helping them reshape, reimagine and transition into a new era.”  

The Atlas Planning Platform is a single, AI-driven SaaS solution that connects and orchestrates the entire supply chain. Delivering end-to-end visibility, Atlas builds an intelligent, agile digital supply chain that enables organizations to automate and synchronize their multi-enterprise network to shape new opportunities, reduce risk, deliver business value, and drive sustainable strategies. 

To read your complimentary copy of the 2022 Gartner Magic Quadrant for Supply Chain Planning, please visit https://johngalt.com/learn/analyst-report/2022-gartner-magic-quadrant-names-john-galt-solutions-as-a-leader.  

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Gartner, Magic Quadrant for Supply Chain Planning Solutions, Amber Salley, Tim Payne, Pia Orup Lund, Janet Suleski, 16 May 2022.

Gartner, Critical Capabilities for Supply Chain Planning Solutions, Pia Orup Lund, Amber Salley, Janet Suleski, Tim Payne, 16 May 2022.

About John Galt Solutions  

More than ever, companies must be able to sense and respond to the dynamics of complex global supply chain performance, seize new opportunities, reduce costs, and drive profitability. John Galt’s Atlas Planning Platform provides a comprehensive end-to-end supply chain planning solution with advanced analytics and machine learning to automate planning, break down business silos and deliver greater visibility. Atlas Planning Platform, a SaaS-based platform, transforms S&OP processes; demand, inventory, and replenishment; manufacturing planning and scheduling; distribution, allocation, and transportation planning; financial budget and sales forecasting. We partner closely with companies such as MARS, Continental Tire, Milwaukee Tool, Deschutes Brewery, Organic Valley, Netgear, and American Red Cross to empower planners to make better and faster decisions with greater confidence. To learn how John Galt Solutions can help you improve supply chain performance, visit johngalt.com.