We’re excited to share that Constructor has been named in Gartner’s Hype Cycle for Agentic Commerce, alongside vendors such as Anthropic, Google, Mastercard, OpenAI, Salesforce, Stripe, and Visa. It’s exciting to see the space get analysis from Gartner. We’ve seen our own AI agents — AI Shopping Agent (ASA) and AI Product Insights Agent (PIA) — starting to change how shoppers search, compare, and buy the products they need.
The Agentic AI Shift Is Upon Us
Gartner frames agentic AI as a fast-growing category, with interest rising quickly even as the market is still early and noisy. Gartner also rates agentic commerce as a “transformational” technology that will have significant impact.
In its view, organizations are still early; fully autonomous agents are not ready for most enterprise use cases, and human oversight still matters. That lines up with how we think about AI in ecommerce: the goal is not flashy automation for its own sake, but practical systems that help shoppers find the right products and help ecommerce teams drive measurable business results.
Why This Matters for Retailers and Brands
Retailers are already feeling pressure from shoppers whose expectations are changing fast. Constructor’s 2025 State of Ecommerce report found that 64% of shoppers have tried GenAI tools for shopping, up from 51% a year earlier. At the same time, 68% say retailer search still needs an upgrade, and 66% say they turn to Amazon when retail site search falls short. That gap is exactly why agentic commerce matters: shoppers want faster answers, stronger relevance, and less friction.
Gartner makes a similar point from the enterprise side. According to Gartner’s 2026 CIO and Technology Executive Survey, 17% of organizations have already deployed AI agents, 42% expect to do so in the next 12 months, and another 22% expect deployment in the following year. Gartner calls this the most aggressive adoption curve among the emerging technologies in that survey.
What Retailers Should Take from Gartner’s View
One of the strongest takeaways from Gartner’s report is that this category needs clear thinking. Gartner notes that many vendors are rebranding older automation tools as agent platforms, making it harder for buyers to distinguish real agentic AI capabilities from familiar automation under a new label.
For retail teams, that means the bar should be high. The right question is no longer if a vendor can add a chat box. It is if the system can interpret intent, act on the current context, support oversight, and improve performance in a controlled way.
That is especially important in commerce. Gartner says agentic commerce can reduce friction in buying by matching preferences more effectively and translating intent into purchases more easily, while also giving sellers a path to deeper engagement, more personalized marketing, and higher conversion.
Why Constructor Is Built for This Moment
At Constructor, we believe agentic commerce works best as part of a holistic system driven by a central “brain” (like our Commerce Reasoning Engine). Powered by behavioral clickstream data from your website and augmented by petabytes of shopper and market data, our central reasoning engine informs each of your discovery touchpoints, getting smarter and more personalized with every interaction in real time through reinforcement learning.
It’s an approach that helps shoppers find the right product faster while giving ecommerce teams the controls, transparency, and business impact they need.
Our system is grounded in the principles Gartner highlights: Agents need oversight. They need context. They need governance. And they need to produce results in real buying environments, not just in demos.
Looking Ahead
We believe Gartner’s inclusion of agentic commerce in this year’s Hype Cycle reinforces what leading ecommerce teams already know. AI is changing how shopping works, and the next phase will reward companies that connect intelligence to business outcomes.
For retailers and brands, that means moving past generic AI claims and focusing on what actually improves performance: better understanding of shopper intent, stronger product relevance, lower friction, and systems that can support both automation and oversight.
If you want to see how Constructor helps ecommerce teams put these ideas into practice, get in touch with us.
Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact.