Commerce is entering a structural transition. AI systems are no longer simply tools layered on top of digital infrastructure. They are beginning to influence how products are discovered, evaluated, and transacted.
In a recent Logicbroker podcast, CEO, Omar Qari, and VP of Marketing, Bryce Roberts, unpacked what this shift actually means for retailers, brands, and suppliers. The discussion focused less on hype and more on practical implications for visibility, infrastructure, margin control, and long-term competitive positioning. You can watch the full video conversation for deeper context, but below we expand on the key themes shaping the next phase of commerce.
These same forces will anchor Connected Commerce 2026: The Agentic Shift, taking place May 7, 2026, in New York City. The event is designed to examine how AI- and agent-driven systems are reshaping discovery, data infrastructure, fulfillment, customer experience, growth, margins, and control.
Key Takeaways
- AI-driven discovery is restructuring how consumers find and evaluate products.
- Traditional paid traffic and SEO advantages are becoming less defensible.
- Control over product data and transaction routing is becoming strategic.
- Infrastructure flexibility will determine who can adapt and who cannot.
- Businesses must move from reactive experimentation to intentional architecture.
AI-Driven Discovery Is Redefining Visibility
For years, digital growth strategies centered on optimizing for search engines, social platforms, and marketplace algorithms. That model assumed consumers were the ones initiating discovery.
Now, large language models and AI agents are beginning to mediate that process. Instead of searching across multiple websites, consumers increasingly rely on AI systems to summarize options, compare products, and even recommend purchases. The surface area where brands compete for visibility is shifting upstream.
This fundamentally alters the concept of “top of funnel.” Visibility is no longer only about ranking on a results page. It is about whether AI systems can access, interpret, and prioritize your product data. If your catalog, pricing logic, fulfillment capabilities, or attributes are not structured in a machine-readable and interoperable way, you risk being excluded from recommendation layers entirely.
The strategic implication is clear: discoverability is becoming an infrastructure problem, not just a marketing problem.
Traffic Is No Longer the Primary Asset
Historically, retailers and brands measured digital health through site sessions, conversion rates, and on-site engagement metrics. Traffic was both the signal and the goal.
As AI systems increasingly answer questions directly, summarize product options, and route transactions externally, traffic may decline even as demand remains intact. The danger is misinterpreting this shift as performance deterioration rather than structural change.
When transactions originate in AI-mediated environments, the point of control changes. Customer data, merchandising influence, and brand storytelling may occur outside owned digital properties. Businesses that are unprepared for this shift risk losing more than traffic. They risk losing insight and leverage.
The focus must evolve from “How do we drive more clicks?” to “How do we ensure our products are selected and transacted, regardless of interface?”
Control Is the New Competitive Advantage
As agent-driven commerce expands, the question becomes who controls the transaction layer.
If AI systems determine which products are shown and where transactions are routed, retailers and brands must ensure they maintain authority over pricing, inventory exposure, fulfillment logic, and partner participation. Without that control, margin compression and channel conflict become inevitable.
This is where digital architecture matters. Systems that allow dynamic partner onboarding, real-time inventory visibility, structured product data, and flexible order routing create optionality. Businesses can participate in emerging channels without rebuilding core systems.
Control in this environment does not mean blocking new interfaces. It means ensuring your infrastructure allows you to participate on your terms.
Infrastructure Determines Agility
Much of the industry conversation about AI focuses on experimentation. Pilots. Chatbots. Incremental feature releases.
But the leaders who will benefit most from the agentic shift are not simply experimenting. They are assessing whether their commerce stack is modular, API-driven, and capable of syndicating clean product and fulfillment data across multiple endpoints.
Rigid architectures slow adaptation. Closed ecosystems restrict participation. Manual onboarding processes limit scale.
Flexible infrastructure, by contrast, enables rapid integration into new discovery surfaces, marketplaces, and agent-driven transaction environments. It allows organizations to pivot as protocols, standards, and consumer behaviors evolve.
The next 12 to 24 months will reward companies that treat architecture as strategy.
From Experimentation to Intentional Strategy
There is a temptation to view agentic commerce as speculative or distant. That would be a mistake.
Consumer behavior is shifting incrementally but meaningfully. Younger demographics are already comfortable delegating research and decision-making to AI tools. As confidence in these systems grows, so will transaction volume routed through them.
Organizations do not need to overhaul everything immediately. But they do need clarity on three questions:
- Is our product and partner data structured for machine interpretation?
- Can we control how and where transactions are routed?
- Is our commerce infrastructure adaptable without multi-year transformation cycles?
The businesses asking these questions now will not be scrambling later.
The Practical Path Forward
The agentic shift does not eliminate existing channels. Websites, marketplaces, and traditional search will remain important. But they will increasingly coexist with AI-mediated layers that influence discovery and transaction routing.
Success in this environment requires:
- Clean, structured, and accessible product data.
- Flexible partner networks.
- Real-time operational visibility.
- Architecture that supports integration rather than resists it.
Commerce has always evolved through platform shifts. The difference this time is that the interface is becoming intelligent, autonomous, and increasingly invisible.
The question is not whether this shift will continue. It is whether businesses will architect for it intentionally or react once control has already shifted elsewhere.
Join the Conversation at Connected Commerce 2026
If these questions are already on your roadmap, you are not alone.
At Connected Commerce, you will have the opportunity to continue this conversation directly with Omar Qari and Bryce Roberts, alongside more than 100 eCommerce leaders navigating the same structural changes. The event is designed for candid, peer-level dialogue focused on real decisions, not theoretical forecasts.
AI-driven discovery, transaction routing, infrastructure control, and margin protection are not distant considerations. They are immediate strategic priorities.Reserve your spot today and be part of the group defining what commerce looks like over the next 6–12 months.
