From Omni-Channel to Intelligent Commerce – How AI is changing retail, e-commerce, and the value chain

Not so long ago, the main focus in commerce was something that today almost feels obvious: connecting channels. Bringing online and offline together. Reducing friction. Creating consistent experiences.
It reminds me of things we tried to do much earlier, often in quite indirect ways. Back then, around 1998, the cloud did not really exist yet, but our agency director used the term “On Air” to describe a connected, always-available system.

Multi-channel, then cross-channel, and finally omni-channel became the goal. And in some way, it still is  —  Ten years ago I wrote this article 'Omni Channel Commerce - Single via Multi through to Omni Channel Commerce - For Business-Tailored-Commerce'  —  But while we have learned to connect touchpoints, something much more fundamental is starting to change in the background.
A new layer is emerging. One that is less visible — but far more powerful  — Artificial Intelligence.

AI is not only changing how we find or buy products.
It is starting to change how commerce itself works.

The world of commerce is changing faster than ever, and it’s both exciting and a little worrying. Online systems are already very advanced: cloud-based, real-time, automated, and personalized. Physical stores have been slower to change, but they are catching up with smarter point-of-sale systems, better inventory management, and early data-driven approaches. Still, behind the smooth experiences customers see, the systems themselves are often fragmented, complex, and only partly connected. We’ve linked commerce together, but we haven’t fully rethought how it works.

AI is already part of this system, mostly in a supporting role: suggesting products, improving marketing campaigns, spotting fraud, or predicting demand. These tools are impressive—but they mostly make existing systems better, not completely new. The real change happens when systems don’t just help people make decisions, but start making decisions on their own. When they don’t just optimize processes, but reshape them. By around 2027, we may see this shift: fully connected, smart systems that anticipate demand, adjust supply chains before problems appear, and set up products in context instead of just listing them. Shopping itself will change in ways we may not see at first, but will definitely feel. Interfaces will respond instantly to behavior, context, and needs. The line between online and offline will continue to blur, and stores and digital platforms will become part of one smart, learning system.

The biggest changes will happen behind the scenes. Areas where humans still plan, organize, and make decisions—like procurement, production, distribution, and service—could increasingly be run by machines on their own. AI will not just make these processes faster; it could change them completely. Imagine a store that moves stock automatically before it runs out, or a production line that adjusts output based on predicted demand. Commerce could shift from a system we control to one that organizes itself. The potential is huge: better use of resources, problems solved before they appear, predictive inventory, and faster response to customer needs.
At the same time, this raises big questions. What will happen to human work and social life when machines make more decisions? How do we keep empathy, creativity, intuition, and shared meaning in a world shaped by algorithms? How much control are we ready to give away—and to whom? The pace is staggering and only getting faster—a phenomenon explored in an article, I published 2 months ago, on digital hyperacceleration. Just like the Great Acceleration in history changed society, today’s hyperacceleration is changing technology, design, and human experience. Interfaces adapt continuously, content changes automatically, and users expect personalized, intelligent, and instant experiences—sometimes faster than we can keep up.

For people working where technology, design, and business meet, this is both exciting and a big responsibility. UX is no longer just about designing screens. It is about creating understanding, trust, and clarity in systems that never stop changing. Designers set the rules, define moments of surprise, and decide how these adaptive systems work. How we do this will shape not only products, but society itself.

The challenge—and the opportunity—is clear: we must guide this change.
Commerce is becoming more than digital or efficient—it’s becoming smart, predictive, and adaptive. Imagine a checkout that knows what you need, suggests only what matters, or even adjusts the store layout automatically. But with these opportunities comes real concern: change is fast, social structures are affected, and human work and connections are at stake.

Fascination and excitement mix with worry. We are seeing something extraordinary—but important questions remain: what kind of society do we want? What responsibilities should we keep for humans, not machines? The moment is urgent and full of possibility. Smart commerce is already here. How we respond will decide whether it serves people, keeps work meaningful, and protects social life—or becomes only about efficiency and algorithms. The pace is relentless, the opportunities huge, and the responsibility is ours.