Agentic Commerce vs. Autonomous Commerce: What Retailers Need to Know

For the past two years, AI has rapidly reshaped how consumers discover and evaluate products. Instead of solely relying on traditional search engines, shoppers are turning to AI assistants and large language models (LLM’s) to research purchases, compare options, and receive recommendations.

Now, AI's influence is extending into the transaction itself.

Recent announcements from major payments providers, like Visa's partnership with OpenAI, highlight a broader industry shift toward enabling AI-driven purchasing. As this shift unfolds, retailers are beginning to navigate two distinct models: agentic commerce, which is already enabling AI-assisted shopping and purchasing experiences today, and autonomous commerce, an emerging model where AI moves beyond assisting employees to actively orchestrating decisions across pricing, inventory, promotions and fulfillment.

For retailers, understanding where agentic commerce ends and autonomous commerce begins is becoming increasingly important, as each creates different opportunities, challenges and infrastructure requirements.

Agentic Commerce: AI Acting on Behalf of Shoppers

Agentic commerce focuses on the customer side of the retail experience. AI agents help consumers discover products, compare alternatives, and make purchasing decisions within parameters defined by the shopper. Rather than manually browsing dozens of sites, a consumer can simply ask a question (for example, what are the best-running shoes for marathon training) and an AI agent will do the work.

For retailers, this represents a fundamental shift in how demand is created and captured. Historically, brands competed for visibility in search engines, marketplaces, and social platforms, but now the battleground has expanded to AI environments. Product content, pricing, inventory, and brand information must be structured in ways that AI systems can access, understand, and recommend.

The challenge then becomes not only attracting consumers but ensuring AI agents can accurately interpret and present products on a retailer's behalf.

Autonomous Commerce: The Next Frontier For Retail Operations

While agentic commerce focuses on how consumers shop, autonomous commerce focuses on how retail organizations operate on the back end.

In an autonomous commerce model, employees no longer manage every process step by step. Instead, they define objectives, constraints, and desired outcomes, while AI agents execute the work needed to achieve them.

A retailer might set an objective to protect margins on low-stock products, improve inventory availability in a key region, or increase sell-through for a specific category. AI agents can then continuously analyze conditions, make decisions, and take action within established governance frameworks.

Rather than simply providing recommendations, these systems are designed to execute tasks autonomously while remaining accountable to human oversight.  Put simply, humans set the intent and guardrails; agents execute the work.

Why The Distinction Matters Now

The growing attention around both models reflects a larger reality: AI is beginning to reshape commerce from end to end. For retailers, understanding the distinction isn't simply about keeping up with new terminology. It provides a clearer framework for evaluating where AI is creating change today, where it's likely to create change tomorrow, and what investments will be needed to support both.

Today, most retailers are understandably focused on customer-facing AI because that's where change is most visible. However, as AI accelerates the path from discovery to purchase, it will place new demands on the operational systems supporting those transactions. More AI-driven discovery, faster purchase decisions and rising expectations for personalization will all require retailers to think carefully about the technology, data and processes underpinning the customer experience.

Retailers don't need all the answers yet. What matters now is recognizing that AI won't reshape just one part of commerce, and each change will demand a different response.

Dirk Hoerig is Founder and CIO of commercetools.