What is agentic commerce? The complete guide to AI-driven shopping

Key takeaways

• By 2030, agentic commerce is projected to orchestrate between $3 trillion and $5 trillion in global transaction volume, representing up to 25% of total eCommerce.¹

• Agentic commerce is a model where autonomous AI agents handle the entire shopping lifecycle - from product discovery to checkout - on behalf of consumers, without requiring human input at any step.

• Airwallex Payments gives merchants the API-first global infrastructure and multi-currency accounts needed to capture machine-driven sales without the FX markups and settlement delays that undermine automated transactions.

AI agents are turning into buyers, not just search assistants. That changes what eCommerce directors and finance leaders need to optimize for: instead of polishing the checkout page, you need product data an agent can actually read and payment infrastructure that can handle a machine-initiated order. This guide breaks down what agentic commerce is, how it works, and what your business needs to do about it.

What is agentic commerce?

Agentic commerce is an evolving model of digital commerce where specialized AI systems perform actions directly on behalf of shoppers.⁵ Instead of responding to search queries, these systems navigate the web, analyze catalogs, and execute checkouts autonomously.

Tech leaders categorize agentic maturity into five distinct tiers. Level-0 represents static, rules-based chatbots that cannot make independent decisions - the kind already common on retail websites. True agentic capability starts at Level-1, where agents retrieve information and recommend specific choices, scaling up to Level-4, where a single agent can split orders across multiple merchants, coordinate with delivery carriers, and resolve shipping issues in real time.

How is agentic commerce different from traditional eCommerce

The core difference is that traditional eCommerce is human-driven - built around visual experience, brand affinity, and impulse buying triggers. A human buyer clicks through pages, adds items to a cart, and types in card details by hand. An AI agent skips all of that: it talks directly to merchant back-ends through APIs, pulling raw product specs, live availability, and landed cost, then makes the call on logic alone.

Conversational commerce and agentic commerce

People often confuse conversational commerce with agentic commerce, but they represent entirely different levels of technological capability. Conversational commerce uses rules-based chatbots that guide humans through predefined decision trees - they're deterministic and can't execute purchases. Agentic commerce uses large language models as a reasoning layer to interpret open-ended user goals, adapt to changing contexts like inventory shifts, and execute multi-step transactions across platforms.³

How big is the agentic commerce market?

The market is enormous, with projections from top research firms pointing to agentic commerce commanding up to 25% of global eCommerce by 2030:

As these forecasts materialize, the front door of retail will need a complete rebuild to serve both human shoppers and the AI agents acting on their behalf.

The trend of agentic commerce

Three things are converging to make agentic commerce possible: LLMs that can actually reason, open protocols that are finally maturing, and payment infrastructure built for machines instead of humans. The biggest unlock has been on the reasoning side. In the past year, LLMs got good enough to navigate the web and complete multi-step tasks without falling over every time a page layout changes.

Consumer adoption is accelerating alongside the technology. Data from the Braze Retail Customer Engagement Review shows agentic shopping adoption will increase from 19% in 2025 to 46% by the end of 2026 - a massive shift in how much consumers trust machines to shop for them. With rapidly maturing payment protocols, developers are now building frameworks that let buyers delegate complete transaction lifecycles to AI agents.

How AI shopping works and evolved

The progression from manual browsing to autonomous purchasing has unfolded across three phases:

Traditional eCommerce

Traditional eCommerce puts every step of the buying process on the consumer: hunting across sites, comparing specs, reading reviews, then typing in card details. All that friction adds up, and it shows in merchants' numbers as high cart abandonment and lost revenue.

AI assistants

The first phase of AI integration brought smarter search tools, but kept the manual checkout intact. Platforms like Amazon's Rufus let users ask complex research questions, but the final purchase still required a human to click through checkout pages.

Agentic eCommerce

True agentic eCommerce closes the loop end-to-end. The agent handles the full lifecycle - capturing intent, researching options, calculating landed costs, executing the transaction, and tracking delivery - compressing the entire checkout process into a background API call.

How agentic commerce works

A machine-to-machine purchase runs through four core steps:

1. You set your budget and preferences

The user inputs a high-level goal and constraints - say, finding a sports jacket under $150 with next-day delivery. This gives the agent its objective and guardrails.

2. The agent searches across multiple stores

The agent programmatically queries dozens of stores, marketplaces, and databases in parallel, pulling raw product specifications in milliseconds.

3. It compares total costs in real time

The agent doesn't stop at sticker price. It queries the checkout system directly to work out landed cost, with taxes, shipping, and any discounts tied to the user's profile factored in.

4. It completes the purchase securely

To close the purchase, the agent uses a tokenized credential instead of the buyer's actual card number, so the transaction completes in seconds without exposing card data. On the merchant side, that means fast, programmatic payment infrastructure that can handle machine-initiated orders at scale.

Benefits of using agentic commerce

For merchants and consumers alike, agentic commerce delivers meaningful operational and financial benefits.

Automate discovery and checkout, and you compress the entire sales cycle. Intent-driven searches turn into completed transactions more reliably than they ever did through a traditional browsing flow.

Challenges of using agentic commerce

The primary challenge is trust and security. Financial institutions expect a significant rise in fraud as automated transactions scale, with 78% of payment leaders anticipating an increase in agentic fraud.⁴ Bad actors are deploying malicious bot networks to automate account takeovers, with some reports citing a 40% surge in malicious bot transactions. Standardizing protocols is also a major hurdle, as the industry must establish clear rules around consumer consent, data use, and system interoperability.

Who is building agentic commerce today?

Several major technology and payments companies are actively building the protocols and payment rails that will underpin the machine-to-machine economy:

Google

Google is a dominant force because of its infrastructure. Its Shopping Graph holds over 50 billion listings, with over two billion updated hourly. Google co-developed the Universal Commerce Protocol (UCP) with Shopify, adding multi-item carts, real-time catalog queries, and loyalty integrations for its AI Mode users.

Perplexity, Amazon, and Shopify

Perplexity pioneered “Buy with Pro,” enabling direct purchases through Wix and BigCommerce integrations, and faces ongoing legal battles with Amazon over whether agents can crawl closed marketplaces. Amazon is building “Buy For Me,” letting users purchase from Shopify stores programmatically. Shopify's Agentic Storefronts syndicate product catalogs across ChatGPT, Copilot, and Perplexity, while its AI Toolkit connects coding agents to live store backends.

Visa and Mastercard

The payment networks are building the foundational secure rails. Visa's collaboration with OpenAI integrates card capabilities directly into OpenAI platforms, utilizing its Trusted Agent Protocol (TAP) for secure agent verification. Mastercard partnered with Stripe to launch "Mastercard Agent Pay," provisioning secure network tokens that protect card credentials during agentic transactions.

What is the business impact of agentic commerce?

The transition to agentic commerce is fundamentally altering the economics of retail and B2B procurement:

How does agentic AI affect the checkout funnel and impulse buying?

Impulse sales will decline as agentic commerce scales, because AI agents are emotionless machines unmoved by visual triggers, emotional copy, or FOMO. The checkout funnel, however, is compressed into a direct, programmatic decision - resulting in highly qualified traffic and higher transaction success rates. For merchants, that's a trade-off worth understanding: optimizing for agentic buyers means giving up some impulse revenue in exchange for stronger conversion on purchases the buyer already intended to make.

Who is liable if an AI shopping agent makes the wrong purchase?

Nobody's fully settled this yet, but American Express has moved first, rolling out cardholder protections specifically for AI agent errors so users aren't stuck with charges from a bot's mistake. Standardized protocols across issuers, merchants, and agents will eventually make accountability clearer. Until then, document your agent configurations carefully, because that's what you'll lean on if a dispute comes up.

What are the data privacy risks of using an AI personal shopping assistant?

The core risk here is exposure. Consumers hand over detailed budgets, addresses, and purchase histories to their AI agent, and it shows in the data: over 83% of shoppers say they're worried about privacy and data misuse. Merchants must secure this data and ensure it isn't used to train public LLMs. Regulatory frameworks around AI data use are still maturing, so building compliance into your infrastructure now is the prudent move.

How to prepare your store for agentic commerce

To stay competitive as machine buyers become a primary sales channel, merchants need to optimize their infrastructure for agentic commerce:

1. Make your product listings readable by AI

Expose product catalogs, pricing, and live inventory through clean APIs. AI agents can only act on what they can read - if your product data is unstructured or incomplete, your listings will be passed over in favor of competitors whose catalogs are properly formatted.

2. Generative Engine Optimization (GEO)

Where traditional SEO optimizes for search engine rankings, GEO focuses on making your content readable by AI reasoning systems. Schema.org JSON-LD markup with precise, factual specifications - model numbers, GTINs, certifications - consistently outperforms descriptive marketing copy when AI agents evaluate products.

3. Avoid losing sales to a slow storefront

Agent-initiated requests have low tolerance for latency. A slow API response can cause the agent to time out and redirect the purchase to a competing storefront, so keeping database queries optimized and endpoints responsive is essential.

4. Keep checkout secure

Implement advanced bot mitigation strategies to differentiate between legitimate buy-side shopping agents and malicious scraper bots. Airwallex Checkout is built for high transaction density and programmatic payment flows, helping you protect inventory while capturing agent-driven revenue.

How Airwallex supports agentic commerce payments

As commerce shifts to automated machine-to-machine transactions, Airwallex Payments is built from the ground up for the global velocity these transactions demand. Traditional banking rails rely on correspondent networks that can take days to settle and often carry significant per-transaction costs - Airwallex's infrastructure is purpose-built to address both.

Why global payment infrastructure matters for AI-driven transactions

AI agents require instant transaction execution, and understanding what an API-first payment platform can do is the first step toward modernizing your treasury. Airwallex's direct integrations with local clearing networks in over 120 countries enable 93% of transactions to settle same-day - the speed agents need for real-time verification to complete automated orders.

How multi-currency accounts simplify agentic cross-border purchases

When an AI agent searches globally for the best deal, cross-border transactions are unavoidable. Converting currencies at checkout exposes your business to costly bank markups, but Airwallex solutions for eCommerce let you open multi-currency accounts in minutes and hold, receive, and pay in over 20 currencies natively - avoiding the 1%–3% markups common with traditional cards.

API-ready checkout built for machine-initiated payments

Capturing sales from third-party AI agents requires a checkout built to programmatically accept automated requests. Airwallex Checkout handles high transaction density and supports over 160 local payment methods, while eCommerce payment plugins make it straightforward to welcome buy-side agents to your storefront. Before deploying AI across your treasury, your financial data needs to be cleanly structured first - something we cover in depth in our guide on finance and AI.

Frequently asked questions about agentic commerce

What does “agentic” mean in ecommerce?

“Agentic” describes autonomous AI systems that act as intermediaries to execute commerce tasks - product discovery, price comparison, and checkout - on behalf of consumers. These agents use advanced reasoning to plan and execute multi-step workflows without human intervention.

Is agentic commerce safe?

Yes, largely because of tokenization. Frameworks like Shared Payment Tokens swap out real card details for temporary, secure codes during the transaction, which cuts down on fraud and unauthorized access. In a lot of ways, that's safer than typing your card number into an unfamiliar checkout page yourself.

Can AI agents make purchases on my behalf?

Yes, if you grant them explicit, portable intent mandates that define spending limits and merchant parameters. These credentials let the agent complete transactions autonomously while keeping you in control of your budget.

Will AI agents replace traditional ecommerce?

No, not entirely. AI agents will take over recurring, utility-driven purchases like restocking supplies, but people will still want to shop for themselves when a purchase is personal, emotional, or discretionary.

What is zero-click commerce?

Zero-click commerce is when an AI agent detects a need, researches the options, and completes the purchase without a human clicking anything. Right now it's mostly used for automatically restocking household essentials and business inventory.

How do AI agents handle product returns and customer service?

Agents connect directly to merchant customer service portals using standardized protocols. That lets them request return labels, flag shipping discrepancies, and coordinate refunds back to your account on their own.

Sources

1. https://www.mckinsey.com/capabilities/quantumblack/our-insights/europes-agentic-commerce-moment-decision-influence-is-here-execution-is-coming

2. https://www.bain.com/insights/2030-forecast-how-agentic-ai-will-reshape-us-retail-snap-chart/

3. https://www.braze.com/resources/articles/agentic-commerce-retail

4. https://www.jpmorgan.com/payments/newsroom/agentic-commerce-ai-future-shopping

5. https://www.digitalcommerce360.com/2026/06/12/visa-openai-agent-led-payments/