The rise of agentic commerce

Summary

This article explores the concept of agentic commerce as defined at NRF 2026, focusing on the shift from AI assistants to autonomous AI agents that research, negotiate, and complete transactions. It outlines the technical and strategic implications for ISVs, including the need for machine-readable data, API-first architectures, and the adoption of new protocols like Google’s Universal Commerce Protocol to remain relevant in an agent-mediated economy.

If you were following the buzz from the Javits Center during NRF 2026 earlier this month, you likely heard one term repeated in many keynotes: agentic commerce. While we’ve spent the last couple of years talking about AI chatbots that help humans find products, agentic commerce represents a fundamental shift. We’re moving from a world where AI assists the shopper to one where the AI is the shopper. These autonomous agents aren’t just summarizing reviews; they’re planning complex projects, comparing real-time inventory across multiple retailers, and executing the final checkout without a human having to click a single “Buy” button.

For those of us who have lived through the transitions from brick-and-mortar to e-commerce and then to mobile, this feels familiar, but the pace is significantly faster. Industry leaders at the show, including representatives from Google and Shopify, pointed out that this isn’t a theoretical future. We’re seeing a massive increase in orders originating from agentic applications. The infrastructure is being laid right now, with protocols being developed to allow these agents to talk directly to merchant systems, bypassing the traditional web interface entirely.

The shift from SEO to agentic discovery

For decades, the goal for any retail software was to help merchants win at SEO. If you could get a product to the top of a Google search page, you won. In the era of agentic commerce, the search bar is becoming a relic. We’re moving toward what some are calling Generative Engine Optimization (GEO). When a consumer tells their AI agent to find the best price on a specific set of tools available for pickup within five miles, that agent isn’t scrolling through Page 1 of search results. It’s querying structured data, checking real-time API endpoints, and evaluating trust signals.

As an ISV leader, you have to realize that your software’s “front end” is no longer just for human eyes. If your platform doesn’t expose clean, high-fidelity data that a machine can parse in milliseconds, the agent will simply move on to a competitor that does. The “invisible shelf” is real, and it’s powered by how well your system communicates inventory accuracy, pricing logic, and fulfillment capabilities to external AI entities.

Why this isn’t just another buzzword for ISVs

It’s easy to dismiss this as another shiny object from a trade show (I’ve been hearing about this being the year of RFID every year since 2006), but the numbers coming out of NRF suggest otherwise. Projections indicate that AI agents could orchestrate nearly a trillion dollars in U.S. retail revenue by the end of the decade. This isn’t just about consumer convenience (though that’s a huge driver), it’s about operational efficiency. Retailers are looking for ways to reduce the drudgery of shopping, particularly for recurring purchases and complex logistical tasks.

For your development roadmap, this means the priority has to shift toward machine-readability. If you’re building POS or e-commerce platforms, your value proposition now includes how well you can facilitate these automated transactions. Merchants are going to choose the software that allows them to participate in this new channel. If your system is a black box that requires a human to navigate a UI, you’re effectively locking your customers out of the fastest-growing segment of the market.

Building the infrastructure for machine-led transactions

The technical requirements for agentic commerce are a bit different than what we’ve seen in the past. It’s not just about having an API; it’s about having the right kind of API. During NRF, Google unveiled the Universal Commerce Protocol (UCP), which is designed to let agents execute commerce actions end-to-end. As a developer, you need to be looking at how your software can integrate with these types of open standards.

FeatureTraditional E-commerceAgentic CommercePrimary UserHuman (Browsing)AI Agent (Executing)InterfaceVisual UI / Web / MobileStructured Data / MCP / APIsDiscoverySEO / KeywordsGEO / Real-time availabilityCheckoutManual multi-stepProgrammatic / InstantData Quality“Good enough” for humansPrecise / Machine-readable

You’ll also need to think about security and trust. When a machine initiates a payment, the traditional fraud detection models (like looking for mouse movements or IP geofencing) might not work the same way. We’re going to see a rise in protocols like Agent-to-Agent (A2A) and specialized payment rails designed for these autonomous actors. Your software needs to be ready to handle “delegated authority,” where a human has given an agent permission to spend up to a certain amount on their behalf.

The urgency of now: Your next steps

The timeline for this shift is compressed. What we thought might be a five-year evolution is happening in months. If you want to keep your retail and hospitality clients competitive, you can’t wait until 2027 to start thinking about agentic readiness. The agentic era is officially here, and the window to secure a spot as a preferred platform for these new digital shoppers is closing.