Top performing supply chain organizations are investing in artificial intelligence and machine learning (AI/ML) to optimize their processes at more than twice the rate of low performing peers, according to a survey by Gartner, Inc. The survey also revealed that the best supply chain organizations are using productivity, rather than efficiency or cost savings, as their key focus to sustain business momentum over the next three years.
Gartner surveyed 818 supply chain practitioners across geography and industry from August through October 2023 to understand how the supply chain is adapting to changes in economic values, fostering sustainable growth, harnessing digital assets’ potential to enhance productivity, and revitalizing the workforce and network of people.
“Top performing supply chain organizations make investment decisions with a different lens than their lower performing peers,” said Ken Chadwick, VP Analyst in Gartner’s Supply Chain Practice. “Enhancing productivity is the key factor that will drive future success and the key to unlocking that productivity lies in leveraging intangible assets. We see this divide especially in the digital domain where the best organizations are far ahead in optimizing their supply chain data with AI/ML applications to unlock value.”
In the survey, organizations were scored across five key metrics measuring business and people outcomes to determine their performance level. Among the key findings, the data showed that high-performing organizations are far ahead in automating and/or optimizing processes that utilize supply chain data using AI/ML (see Figure 1). “High performers” were those reporting performance that exceeded expectations over the last 12 months across the five measurements in supply chain outcomes.