Decision Lab logo with colour splash.

Experiment-Driven Supply Chain Planning

Leading CSCOs Are Moving Beyond Resilience with Experiment-Driven Supply Chain Planning.

The concept of extensive experiment-driven planning is taking root in Supply Chain. Well established in areas of business such a life-cycle management, experiment-driven supply chain planning is set to transform how market leaders manage uncertainty and pursue value creation.

Recognising this trend, we consider the recent Gartner® report Innovation Insight: Achieving Antifragile Supply Chains through Experiment-Driven Supply Chain Planning an essential read for supply chain leaders. It provides a concise introduction to the concept of experiment-driven supply chain planning, outlines its benefits and uses, reveals challenges and risks, gives examples, and concludes with a set of recommendations.

We are proud to be named by Gartner® as a Representative Provider in this report. Enjoy a complimentary copy, on us.

Gartner registered logo.

Three Key Reasons for CSCOs to Download This Report

We believe this complimentary Gartner® research provides strategic insight for moving beyond the limits of scenario planning. You will learn:

1. Why Traditional Methods Fail in the Face of Uncertainty

According to Gartner®, ‘For large uncertainty exposures, 86% of supply chains are fragile. This means they lose value when a large disruption occurs.’ This report details why deterministic, forecast-based planning is no longer fit for purpose.

2. How to Master Volatility with Experiment-Driven Planning

According to Gartner®, ‘Experiment-driven planning supersedes scenario-driven approaches by generating thousands of alternative plans through probabilistic simulations on digital supply chain twins.’ Discover how this stress testing delivers critical insight into the probability of outcomes.

3. The Tangible Business Impact on Your Bottom Line

According to Gartner®, ‘Organizations that perform a high degree of experimentation when faced with uncertainty are 3.7 times more likely to positively impact their revenue than their low-experimentation peers.’ Understand the direct link between this methodology and financial performance.

Get Your Complimentary Gartner® Report

Stop planning for a single future that will never arrive. Start building a supply chain that grows stronger with every challenge.

Gartner is a registered trademark of Gartner, Inc. or its affiliates and/or its affiliates in the U.S. and internationally and is 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 organisation 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.

This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research
organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may
address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see “Guiding Principles on Independence and Objectivity.” Gartner research may not be used as input into or for the training or development of generative artificial
intelligence, machine learning, algorithms, software, or related technologies.