Agentic Commerce: What It Is and Why Retailers Must Prepare Now

The retail industry is entering a transformation unlike anything we’ve seen since the rise of e-commerce. In fact, agentic commerce retail represents this next wave of change. But this time, the change isn’t about moving from physical to digital. It’s about moving from human-led decisions to AI-led decisions.

Welcome to agentic commerce: an era where autonomous AI agents don’t just assist with shopping, they research, compare, negotiate, and purchase on behalf of consumers: no clicks, no browsing, no scrolling through pages of results.

This isn’t a prediction. It’s already happening. And for retailers who aren’t paying attention, the window to prepare is closing fast.

What Exactly Is Agentic Commerce?

Traditional AI in retail is reactive: a chatbot answers a question, a recommendation engine suggests a product based on your browsing history. Agentic AI is fundamentally different. It pursues goals autonomously. It can understand your needs, evaluate dozens of options across multiple retailers, compare prices and reviews, and complete a purchase all without you lifting a finger.

As McKinsey describes it, agentic commerce moves us toward a world where AI anticipates consumer needs, navigates shopping options, negotiates deals, and executes transactions, all in alignment with human intent while acting independently. Their research estimates that by 2030, AI agents could mediate between $3 trillion and $5 trillion of global consumer commerce.

Think about what that means for your business. The customer journey awareness, consideration, and purchase are collapsing into a single moment where an AI agent evaluates and transacts instantly. Brand loyalty may matter less than an algorithm’s assessment of price, data quality, and fulfillment speed.

Agentic Commerce: How AI Agents Are Replacing Traditional Shopping in 2026

This Isn’t Theoretical It’s Happening Now

At NRF 2026, agentic AI was the dominant conversation. SAP reported that consumers are rapidly adopting AI agents to find, compare, and increasingly buy products, while many brands are still optimizing for traditional search engines and quietly disappearing from the models driving the next generation of product discovery.

The numbers are hard to ignore. Traffic from AI sources to retail websites has surged 1,200% while traditional search traffic declined 10% year-over-year. Amazon has launched “Buy For Me,” a tool that lets AI agents browse other retailers’ websites and complete purchases without leaving Amazon’s app. Google announced the Universal Commerce Protocol (UCP), co-developed with Shopify, Target, Walmart, and others, as an open standard for agents to transact across platforms.

Meanwhile, Microsoft unveiled agentic AI solutions designed to bring intelligent automation to every part of the retail business, from merchandising and marketing to store operations and fulfillment. Their Brand Agents solution is already available for Shopify merchants.

This is no longer a trend to watch. Its infrastructure is being built in real time by the biggest tech players.

What This Means for POS, Kiosks, and Digital Signage

Here’s where agentic commerce intersects directly with the physical store, and this is what I see daily in my work with retail technology.

POS systems become the data backbone. AI agents need real-time, accurate data to function: current pricing, inventory levels, product availability. If your POS system operates in silos or updates are delayed, an AI agent won’t be able to accurately represent your products. The retailers with unified platforms that feed POS, inventory, and e-commerce from a single source of truth are the ones AI agents will trust and recommend.

Self-service kiosks evolve into AI interfaces. Today’s kiosks handle transactions. Tomorrow’s kiosks will be powered by conversational AI that understands natural language, recommends products based on real-time context, and completes multi-step workflows autonomously. The kiosk becomes less of a transaction point and more of an intelligent store associate that never takes a break.

Digital signage becomes dynamic and responsive. When AI agents understand shopper intent in real time, digital signage can adapt instantly, displaying relevant promotions, complementary products, or personalized offers based on what a customer is actually looking for, not what a marketing calendar predetermined weeks ago. This is where the concept of “intelligent stores” stops being a buzzword and starts delivering measurable impact.

The key factors are data quality and system integration. AI agents are only as effective as the data they can access. Fragmented systems, inconsistent product information, and disconnected hardware are significant barriers to participating in agentic commerce.

Phygital Retail in 2026: Where Self-Service and Augmented Reality Actually Deliver Value

Three Steps Retailers Should Take Now

1. Audit and unify data. Review where product information is stored and ensure consistency across POS, e-commerce, and in-store systems. Confirm that external systems, such as AI agents, can access this data through APIs. Prioritize standardizing schemas, maintaining real-time accuracy, and eliminating data silos.

2. Think beyond SEO, start thinking GEO. Generative Engine Optimization is the practice of making your brand the answer AI agents provide, not just a link in search results. That means structured product data, authoritative content, clear specifications, and presence across platforms where AI systems source their information.

3. Upgrade your in-store technology with integration. Upgrade in-store technology with integration as a priority. When evaluating POS, kiosks, or digital signage, consider whether the hardware can provide real-time data to an AI-driven ecosystem. Isolated hardware will become a liability, while connected, data-sharing, and adaptive systems will offer a competitive advantage. It’s a present reality being built by McKinsey-advised strategies, Google protocols, Microsoft infrastructure, and Amazon features. The retailers who prepare now by unifying their data, upgrading their in-store technology, and optimizing for AI-driven discovery will be the ones these agents recommend, trust, and transact with.

Retailers who delay risk becoming invisible to a critical customer acquisition channel. In retail, invisibility is a risk that cannot be afforded.

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About the Author: Adriana Rivas is a retail technology strategist, author of How to Implement Self-Service Without Failing, and founder of Biwitech. She helps retailers navigate digital transformation and implement cutting-edge technologies that drive measurable business results.