In the global supply chain, change is table stakes. However, the pace and scope of this decade’s disruptions — from the pandemic to geopolitical conflicts and climate disasters — are unlike anything we’ve seen before.
Our ability not only to navigate these challenges but also build resilience for the future calls for a supply chain focused on data-driven risk mitigation. While many organizations recognize the importance of using data and analytics to increase predictability, some are struggling to develop their strategies.
Jabil’s 2024 Supply Chain Resilience Survey—which asked nearly 200 supply chain decision-makers around the world about their current processes, tactics and long-term goals—underscores this point.
For example, 96% of decision-makers integrate market intelligence to navigate their supply chain challenges, but 51% acknowledge the need for more comprehensive data to make accurate risk assessments.
These insights aren't just enlightening—they are a call to action.
As we journey from recovery to resilience, organizations must consider how to thoughtfully integrate technologies like AI and automation within their data-driven supply chain strategies.
Let’s explore how supply chain organizations are working to minimize their exposure to risk with visibility, optimization and sustainability.
Frank McKay is SVP and chief supply chain and procurement officer, Jabil.