Can Supply Chains Become Autonomous?

The gap between planning and execution — and what it will take to close it

By Dov Shenkman

If you live long enough, you begin to witness waves of transformation that redefine how the world works. Color TV. The personal computer. The internet. The mobile phone. And now, AI. Each one didn’t just improve how we operate — it fundamentally changed how we think, decide, and interact.

From Navigation to Autonomy

One of the most fascinating evolutions of recent decades has played out in navigation. We went from paper maps to GPS, then to GPS enhanced with real-time traffic and event data. Remarkable progress — yet a critical gap remained.

The system could plan the journey. It could even adjust the plan in real time. But the execution — the driving, the reacting, the decision-making — was still left to us. Humans remained the final layer of control.

That changed when I stepped into a Waymo in San Francisco. It wasn’t navigation. It was autonomy. The system didn’t just create the plan or adjust it — it executed. It sensed the environment. It responded in real time. It closed the gap between planning and execution entirely.

“The real breakthrough wasn’t a better map. It was removing the human from the last mile of execution.”

So — Can Supply Chains Do the Same?

The question follows naturally: can we build supply chains that create a plan, continuously adjust based on real-time events, and execute autonomously through a true sense-and-respond system?

In theory, yes. In practice, it’s far more complex.

WHY SUPPLY CHAINS AREN’T THERE YET

→    Plans are not dynamically adjusted to real-time events

→    There is a persistent lag between disruption and response

→    Organizations face signal overload — some real, most noise

→    Trade-offs are unclear or misaligned across functions

→    Cross-functional integration remains limited

→    Competition has shifted — it’s now value chain vs. value chain

Unlike a car navigating a road, supply chains operate across fragmented systems, multiple stakeholders, and conflicting objectives. Autonomy requires alignment — and alignment is still one of the biggest gaps in the industry.

Where Value Centric Thinking Fits In

Before supply chains can become autonomous, organizations must first answer harder questions: What value are we optimizing for? How do we align decisions across functions around that value? How do we prioritize signals and respond with intent — not reaction?

VALUE CENTRIC INTEGRATED BUSINESS PLANNING CLOSES PART OF THAT GAP BY:

✓     Aligning strategy, planning, and execution

✓     Creating a shared language of value across the organization

✓     Enabling better, faster, more coordinated decisions

It doesn’t make the supply chain autonomous — but it makes it intelligent and aligned. And that is the necessary first step.

What Still Needs to Be Solved

True autonomy will require solving challenges that go well beyond technology — managing signal-to-noise ratios, improving the balance between prediction and real-time sensing, reducing planning latency, and integrating across end-to-end value chains rather than just internal functions.

This is not just a technology problem. It is a system design problem. A data problem. And most importantly, a leadership and alignment problem.

The Future: Not If, But How Fast

Just as navigation evolved from paper maps to autonomous driving, supply chains will evolve from planning systems to autonomous value networks. The combination of human ingenuity and AI will continue to push the boundaries of what’s possible.

The real question is no longer if supply chains can become autonomous. It’s: how fast will we close the gap between planning and execution?