What supply chain leaders can learn from the most confident operators in the industry

Blog

What supply chain leaders can learn from the most confident operators in the industry

  • What supply chain leaders can learn from the most confident operators in the industry
1 minute read

Supply chain leaders are operating under pressure with few recent parallels. Disruptions are arriving faster than most organizations can absorb them, the pace of AI adoption is accelerating, and executives are increasingly being asked to prove what their technology investments are delivering. Against this backdrop, confidence should be hard to come by, but for some leaders, it isn't.

The 2026 Supply Chain Compass, a Blue Yonder survey of 678 senior supply chain professionals across retail, manufacturing, and logistics, found that nearly half of respondents (46%) rated their optimism at +4 or +5 on a five-point scale. The remaining 54% were more tentative, and 10% were actively pessimistic. What's striking is that the divergence has nothing to do with industry, region, or company size. Organizations of the same type and scale are arriving at very different conclusions about the future.

Understanding what the more confident group has built, and what it took to get there, is helpful for anyone earlier in the journey.

Optimistic leaders are

Build connectivity first, because everything else depends on it

The most consistent differentiator between optimistic supply chain leaders and the rest is how connected their operations are. The confident leaders have largely built supply chains that automatically share information across functions: shared KPIs, integrated data, and supplier visibility that doesn't require anyone to pick up the phone. When something goes wrong, they tend to know about it quickly and have what they need to act.

The practical value of that connectivity shows up most clearly under pressure. Leaders who have invested in end-to-end visibility learn about disruptions sooner and respond faster. For supplier disruptions specifically, more than half of the most optimistic leaders identify the issue within 24 hours. That speed comes from systems that surface problems before they require someone to go looking.

For leaders who feel behind on this, the implication is straightforward: connectivity is the foundation, and the other investments, including AI, automation, and scenario planning, don't perform well without it. 

"I am not convinced our visibility tools give the full picture. I feel they lack end-to-end data integration and clear insights into supplier performance, making it hard to anticipate delays or disruptions."

— VP of Logistics, Logistics, Canada

Expect AI to reward the foundations you've already built

The leaders with the highest confidence are significantly further ahead in AI adoption and they know what makes AI work at a meaningful level. When AI sits atop fragmented data and disconnected systems, it tends to deliver incremental improvements. When it sits on a unified platform with clean, connected data, it can operate at a systemic level to identify patterns across the full supply chain, run scenario plans in minutes, and flag supplier risks before they become disruptions.

Walmart's experience illustrates how this plays out over time. The company spent years building the unified data infrastructure that now underpins its AI capabilities. By 2025, they had implemented specialized AI agents making continuous decisions across routing, inventory placement, driver assignment, and demand forecasting, "all coordinated through a single real-time system. Their route optimization work alone eliminated 30 million unnecessary delivery miles and avoided 94 million pounds of CO2 emissions in a single year. 

This kind of shift takes time. Building the data infrastructure first is what makes the subsequent AI investment perform. Leaders who try to shortcut that sequence tend to find themselves with AI tools that underdeliver and a growing sense that the technology isn't living up to its promise.

"The development of artificial intelligence and predictive analytics creates enormous opportunities and allows us to proactively anticipate and mitigate operational disruptions."
— VP of Operations, Logistics, Poland

Agentic AI is the most open window right now

Most supply chain leaders are still early on agentic AI; only 8% of Compass respondents are currently using it. That means the competitive landscape on this technology is still relatively open, and leaders who move on it now are unlikely to be playing catch-up.

Agentic AI represents a qualitative shift from earlier forms. Where machine learning surfaces insights and generative AI accelerates tasks, agents act autonomously to scale decision-making across the supply chain in ways that human teams alone could not. The leaders who build the right foundations now and move on to agentic AI early are likely to find themselves significantly ahead of peers who wait.

AI agents do change what supply chain roles look like. Tedious, repetitive work is absorbed by technology, freeing up supply chain leaders and their teams to do the more consequential work of making judgment calls that agentic AI can’t and of building the strategies that determine what agents are optimizing for. Leaders who manage this transition well tend to frame it as a shift in where human effort goes.

"[We don't know] how to integrate AI and new technologies to serve customers. I am not clear on the people and process impact of pending technology. For example, if algorithms can select product and quantify inventory needs, what does the role of my team become?"
— VP Merchandising, Retail, Canada

Invest consistently in platforms rather than point solutions

Technology investment is another area where the most confident leaders have taken a different approach. They are more likely to be building toward platform-based architecture, where data and decisions flow across functions, rather than running separate tools for each supply chain function. 

Notably, only about 20% of leaders surveyed report using a single enterprise-wide platform that covers the entire supply chain lifecycle. That means even the most confident leaders have significant room to go further, and that the full competitive advantage of genuine end-to-end integration has not yet been captured by most organizations.

The leaders who move toward that architecture now are building the infrastructure that unlocks everything else.

 

What the gap comes down to

The confidence reflected in the Compass data is grounded in real operational and financial performance. The most optimistic leaders expect their organizations to significantly outperform their peers financially, and the structural advantages they have built make those expectations credible.

For leaders who feel behind, the survey shows they already know they need a new approach, and many are taking steps. The gap is real and closing it takes time. But with agentic AI still early enough that almost no one has a head start, there is a genuine opportunity to move faster than the curve.

Prepare for viral demand with end-to-end supply chain AI

Gain real-time visibility and AI planning to act on viral demand—avoid stockouts and protect brand. 
Read the Supply Chain Compass Spotlight.
Read the report