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Home / Blogs / Why 95% of supply chain teams lack early warning confidence

Image for the North American Procurement Executives (NAPES) conference

Why 95% of supply chain teams lack early warning confidence

Apr 28, 2026

Resilinc Editorial Staff

Multi-tier Mapping

At the North America Procurement Executives (NAPES 2026) conference last week, we asked a simple question: How confident are you in your ability to detect disruptions before they impact production?

The response was striking. Fifty-two percent of attendees said they are fully reactive. Another 43% said they are not confident—or only somewhat confident—in their ability to catch disruptions early. Together, that signals a clear gap: the vast majority of organizations are operating without strong early warning capability. And this isn’t just a visibility problem. It’s a sign that traditional approaches to supply chain risk are no longer keeping up.

Disruption is moving faster than decisions

Supply chains today are operating in a fundamentally different environment than they were even five years ago. Disruptions are increasing 38% year over year. Most risk is concentrated below Tier 1, where visibility is limited. And leadership is no longer satisfied with reports after the fact; they expect immediate, business-level answers.

Yet most organizations are still stuck asking the same three questions every time something goes wrong: Does this impact us? What’s at risk? What should we do? The problem isn’t that those are the wrong questions. It’s how long it takes to answer them.

Reactive systems in a real-time world

Our NAPES polling reinforced something that many supply chain leaders already know but rarely say out loud: response is still manual and fragmented, even as disruptions grow faster and more complex. In fact, 81% of organizations still rely on manual or traditional approaches to mitigate disruptions, leaving most teams outpaced when speed matters most.

That gap between the speed of disruption and the speed of response is exactly where risk compounds. Late detection leads to slow impact analysis, which leads to delayed action. By the time a decision is made, the window to act has often narrowed significantly.

Why more visibility isn’t the answer

Over the past decade, companies have poured significant investment into supply chain visibility. Dashboards. Monitoring tools. Data integrations. And while that investment has value, it’s created a new problem: too much data without enough direction.

When a disruption hits, the hardest questions to answer are about business impact. Which suppliers and parts are affected? What’s the revenue exposure? What actions should we take, and in what order?

At NAPES, these were the questions that surfaced most consistently with the supply chain leaders we spoke with. Whether it was a building materials company, a natural food producer, or a global pharma leader, the pattern was the same: teams have the data but struggle to translate signals into actions.

The shift from visibility to agentic execution

This is where the conversation is changing, and where the most forward-looking organizations are already pulling ahead.

Rather than relying on dashboards and alerts that require human interpretation and manual follow-up, leading organizations are adopting an agentic approach. The distinction matters: AI that surfaces risk is useful. AI that actively helps act on it is transformative.

In practice, that means moving from a model where teams monitor disruptions, manually analyze impact, and coordinate response across siloed systems to one where agentic systems continuously sense disruptions in real time, instantly map impact to specific suppliers, parts, and revenue, and recommend—or even initiate—next-best actions automatically.

What this looks like when it’s working

In a traditional model, a disruption, like a sudden port closure or geopolitical escalation, triggers a familiar chain reaction. Alerts flood in. Teams scramble to assess which shipments or suppliers are affected. Data is pulled from multiple systems. Decisions get delayed.

In an agentic model, that same disruption immediately maps to impacted suppliers, parts, and shipments, quantifies exposure, and surfaces alternate sources in real time.

The result is faster response, clearer decisions, and action at the exact moment it matters most.

The Bottom Line

Every company faces disruption, but the advantage goes to organizations that can detect risk earlier, understand impact instantly, and act decisively without the delays that define how most teams operate today.

The answer?  Intelligent, agentic execution that turns disruption into a controlled, manageable event. Book a demo to see how this works in your world.

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