What is agentic commerce and how is it revolutionizing online sales?

AI-generated image via Google Gemini

Digital consumer behavior is undergoing its most radical transformation since the popularization of the internet. Currently, 45% of consumers already use artificial intelligence in at least one stage of their purchasing journey . Furthermore, 44% of users who have tried AI-based search tools say that this format has become their primary and preferred source for internet research.

In this scenario of accelerated adoption, agentic commerce emerges not only as a trend, but as the new operational standard for global retail . Instead of requiring the customer to browse, compare prices, and fill out payment forms, this new technology delegates all the heavy lifting to autonomous systems . Consequently, this change affects crucial business metrics, such as Conversion Rate and user decision time . Therefore, understanding this dynamic is the first step to ensuring your brand's relevance in the coming years.

WHAT YOU NEED TO KNOW ABOUT AGENTIC COMMERCE

• What is it: o agentic commerce (Agent trading) is a business model where Autonomous artificial intelligence agents search for products, compare options, and execute purchases. on behalf of consumers, with minimal human intervention;
• How it works: The user provides a voice or text command detailing their needs and budget. The agent then navigates the internet, interacts with e-commerce platforms, and makes a purchase decision based on the customer's preferences.
• Impact on revenue: a McKinsey It is projected that this type of AI-mediated transaction could orchestrate between US$3 trillion and US$5 trillion in global trade volume by 2030;
• Adoption and scaling: The acceptance of the technology is impressive. Recent data shows that 54,6% of adults aged 18 to 64 already use generative AI regularly.Furthermore, 47% of consumers would delegate repetitive and routine purchases to a virtual assistant;
• The wholesale (B2B) revolution: The impact on the corporate market will be even more profound. Gartner Research predicts that AI agents will conduct impressive... 90% of all B2B purchases by the year 2028;
• The role of the new players: Modern tools already bring this reality to life in practice. For example, the platform Perplexity launched the autonomous shopping toolBuy with Pro", and the OpenAI integrated the agent “Operatordirectly into ChatGPT to automate reservations and orders.

The transition from assistance to full autonomy.

In our experience implementing e-commerce architectures at e-Plus , we've observed that the biggest bottleneck in conversion has always been friction . Every additional click, every form field, and every tab opened to compare prices increases the chance of cart abandonment . Traditionally, retailers have tried to solve this with chatbots and recommendation systems. However, these tools were only assistive; that is, they helped the human make the decision, but still required the user to perform the final action.

On the other hand, agentic commerce eliminates this barrier completely . The AI ​​agent not only suggests the product, it completes the flow . If a customer asks " buy the best running shoes for pronated feet up to 600 reais and delivered by Friday ," the system analyzes reviews, checks stock on multiple websites, calculates shipping, and processes the payment. In this way, the journey that would take hours of human research happens in a few seconds.

This level of delegation changes how brands approach attracting customers. While the goal used to be to create visually appealing storefronts to convince the human eye, now the challenge is to structure perfectly clean data so that robots can read and interpret it without errors . Therefore, search engine optimization ( SEO ) becomes much more critical than traditional SEO.

The Importance of Infrastructure and Communication Protocols

A common challenge in AI integration projects is the limitation of legacy platforms. After all, most online stores were designed exclusively for human visual navigation . When an AI agent tries to read a disorganized website, it simply abandons the page and looks for a competitor with structured data . To overcome this obstacle, the technology industry began developing specific machine-to-machine communication protocols.

The prime example of this evolution is UCP ( Universal Commerce Protocol ) . This protocol creates a standardized language so that AI agents can consult catalogs, check prices, and place orders securely and instantly . If you want to understand the technical details of how this standardization works, we strongly recommend reading our full article on UCP: the protocol that redefines agentic commerce.

To clearly illustrate how this revolutionary dynamic operates in the day-to-day retail business, we've prepared a straightforward piece of content . Learn more about how agentic commerce works in practice in this quick video:

TRADITIONAL E-COMMERCE VS. AGENTIC COMMERCE

To facilitate understanding of the structural changes that this technology requires, we have prepared the following table. It highlights the main differences between the classic work schedule and the autonomous model.

Redefining Performance Metrics and Acquisition Strategies

The arrival of autonomous commerce forces managers to rethink their indicator dashboards. Often, the market focuses solely on Return on Investment (ROI) . However, in the context of AI agents, other metrics take on absolute prominence. Time -to-market , for example, becomes vital. As agents analyze the market in real time, brands that update their catalogs and prices more quickly receive immediate recommendations from artificial intelligence.

Furthermore, the Conversion Rate reflects the technical health of your infrastructure . If your e-commerce site is slow or has conflicting inventory data, the agent's algorithm instantly discards your store . Unlike a human who might have the patience to refresh the page, the robot operates under strict efficiency parameters. Consequently, companies that offer seamless integrations will see a drastic increase in conversions, while technically outdated stores will suffer a severe drop in qualified traffic.

Another point of attention is the profit margin. Recent research from Forrester warns that selling through response engines and independent agents can generate new transaction fees . Therefore, retailers need to strategically manage their product assortments, choosing which items offer sufficient margin to absorb the costs of operating in this new digital channel.

FINANCIAL SECURITY IN SELF-EMPLOYED TRADING

Clearly, delegating credit card transactions to a robot raises legitimate concerns. In fact, financial leaders project that fraud risks will require new layers of protection as agents navigate the open internet . For agentic commerce to reach its full potential, the payments industry is developing zero-trust architectures.

In this model, the AI ​​agent never possesses the customer's actual card number. Instead, it uses credentials based on dynamic tokens that bank issuers generate for specific purchases. Furthermore, the system imposes strict budget limits and consent rules. Therefore, if the agent attempts to purchase an item outside the user's established pattern, the transaction immediately requires manual human approval. In this way, the ecosystem ensures convenience without compromising cybersecurity.

How to prepare your operation for this new reality.

AI-mediated commerce is no longer a rapidly expanding business reality. Younger consumers are leading this adoption. Research indicates that 36% of adults aged 18 to 29 have already used AI platforms, such as ChatGPT , specifically to research products they want to buy. To avoid missing out on this qualified demand, your business needs to act now.

First, audit the quality of your e-commerce data . Ensure that product descriptions are clear, literal, and contain all detailed technical specifications. Second, invest in robust e-commerce platforms with open APIs ( headless architecture ) . This technical flexibility will allow AI agents to read your inventory and complete purchases natively and seamlessly. Finally, produce content in a straightforward question-and-answer format to optimize your store for artificial intelligence engines (AEO).

Therefore, we invite you to explore other content on the e-Plus blog to continue refining your digital strategy and stay ahead of retail trends. Now, if your project requires immediate traction and in-depth technical preparation for the future, talk to our team of experts . e-Plus provides specialized consulting in generative AI and develops customized high-performance solutions to ensure your sales ecosystem leads this technological revolution.

FAQ – Frequently Asked Questions About AGENTIC COMMERCE