Online shopping has already become faster and more convenient through search engines, product recommendations, chatbots, and personalized experiences. However, the next stage of e-commerce could go beyond simply helping customers find products. Agentic commerce introduces AI systems that can actively assist customers throughout the shopping journey, from understanding what they need to comparing products and preparing a purchase.

Instead of customers spending time searching through multiple websites, AI agents can help complete many of these tasks through a simple conversation.

What Is Agentic Commerce?

Agentic commerce refers to a shopping approach where AI agents can understand a customer’s request, research available products, compare options, and assist with purchasing decisions.

For example, a customer might tell an AI agent:

“I need black formal shoes for under $100 that are comfortable for office use.”

Instead of requiring the customer to search for these requirements individually, an AI agent can understand the request and help identify relevant products. It can consider factors such as price, colour, product type, purpose, and customer preferences.

The customer can then review the available options and make the final decision.

From Searching to Delegating

Traditional online shopping usually requires customers to complete several steps themselves. They search for products, open different websites, compare prices, read reviews, check availability, and finally decide what to purchase.

Agentic commerce changes this process by allowing customers to delegate parts of the research process to AI.

An AI agent could help answer questions such as:

• Which product matches my requirements?
• Which options fit my budget?
• What are the main differences between these products?
• Which products are currently available?
• What do customer reviews say?
• Which option is suitable for my needs?

This can make shopping less about manually browsing and more about communicating what the customer wants.

AI as a Personal Shopping Assistant

One of the most important possibilities of agentic commerce is the development of AI-powered personal shopping assistants.

These assistants can work with information such as a customer’s preferred brands, budget, sizes, colours, and shopping requirements. Instead of showing the same products to everyone, an AI agent can help narrow down choices based on the customer’s specific request.

For example, someone looking for a laptop for university studies may have different requirements from someone looking for a laptop for professional video editing. An AI shopping agent can help organize the options around those different needs.

This could make product discovery more relevant and reduce the amount of time customers spend comparing products.

Why Customers May Use Agentic Commerce

Online stores often provide thousands of products, which can make choosing the right one difficult. Customers may spend considerable time comparing similar products and deciding which features actually matter.

Agentic commerce can help simplify this process by handling repetitive research tasks.

Potential benefits include:

• Saving time by reducing manual product searches.
• Simplifying comparisons between similar products.
• Understanding natural language instead of requiring specific search keywords.
• Personalizing recommendations according to individual requirements.
• Reducing information overload by presenting relevant options.

The goal is not simply to provide more product recommendations but to help customers make sense of their choices.

What Businesses Need to Consider

Agentic commerce also changes what businesses need to provide online. AI agents depend on clear and accurate product information to understand and compare products.

Businesses should therefore maintain reliable information about product descriptions, specifications, prices, availability, shipping, returns, and other important details.

When product information is incomplete or outdated, an AI agent may not be able to provide useful assistance. As AI becomes more involved in shopping, high-quality product information can become increasingly important.

Keeping Humans in Control

Although AI agents can automate parts of the shopping journey, customers should remain in control of important purchasing decisions.

An AI agent can research products, compare options, and provide suggestions, but the customer should have the opportunity to review the information before completing a purchase.

Trust will also be important. Customers need transparency about how AI uses their information and how recommendations are generated. Businesses will need to consider privacy, accuracy, and clear communication as agentic commerce develops.

The Future of Online Shopping

Agentic commerce could gradually change online shopping from a process of searching and browsing to asking and delegating.

Instead of visiting several websites and manually comparing products, customers may increasingly tell an AI what they need and allow it to handle parts of the research process.

The future of e-commerce may therefore not be about removing people from the shopping experience. Instead, it could be about using AI to handle repetitive tasks while allowing people to focus on the decisions that matter.

As AI agents become more capable, agentic commerce has the potential to create a more conversational, efficient, and personalized way to shop online.