Agentic Commerce: When AI Buys on Behalf of Your Customer

Agentic commerce is redefining e-commerce: autonomous AI agents that search, compare, and purchase products for consumers. Learn how to prepare your catalog.

Agentic Commerce: the New Frontier of Online Shopping

Imagine a future where your customer never even visits your website. Instead, an autonomous AI agent navigates dozens of e-commerce stores, compares prices, checks availability, and completes the purchase — all in a few seconds, with zero human intervention. This is not science fiction: it is agentic commerce, the trend that according to Gartner will account for 25% of online purchases by 2028.

For e-commerce brands, this shift is both an opportunity and a challenge. If your catalog is not structured to be read by AI agents, you risk being simply ignored in the next generation of automated shopping.

AI agent autonomously browsing an e-commerce store on behalf of the customer — Autonomous AI agents select products on behalf of consumers, comparing catalogs in real time.

How Agentic Commerce Works in 2026

Unlike traditional chatbots that answer questions, agentic commerce AI agents operate in a proactive and autonomous manner. A consumer might tell their assistant: "I need a blue waterproof jacket, size M, maximum budget 150 euros." The agent sets off on its mission: scanning catalogs, filtering by specifications, reading reviews, and comparing prices, then presenting 3-5 optimal options or completing the purchase directly if authorized.

Platforms like Katapic become essential in this scenario because they generate structured product listings with complete data, accurate descriptions, and machine-readable metadata — exactly what AI agents need to evaluate products.

According to McKinsey, 40% of Gen Z consumers say they are ready to delegate recurring purchase decisions to an AI agent, provided it learns their preferences over time.

Preparing Your Catalog for AI Agents

AI agents don't "see" images like a human does. They rely on structured data: precise titles, detailed attributes, up-to-date prices, and real-time availability. A catalog with vague descriptions or missing information will be systematically discarded in favor of better-organized competitors.

Here are the priorities for making your e-commerce "agent-ready":

Complete schema markup: Product, Offer, AggregateRating on every product page
Explicit attributes: color, material, size, weight — never ambiguous, never missing
Prices and availability updated in real time via structured feeds
Clear policies: returns, shipping, warranty readable by API

Customer receiving a curated product selection from the AI agent — The agentic experience: the consumer receives an optimized selection without having to search.

The Impact on E-commerce Marketing Strategies

If AI agents make purchase decisions, traditional marketing levers — banners, visual promotions, emotional branding — lose some of their effectiveness. What matters becomes objective data quality: value for money, verified reviews, shipping speed, completeness of information.

This does not mean branding is dead, but it is evolving. Brands with the best reputation and the most complete data will be preferred by the algorithms. Platforms like Katapic, which automatically generate complete and optimized product listings, become a structural competitive advantage, not just an operational one.

3 Actions to Take Today

You don't need to wait until 2028 to prepare. The foundations of agentic commerce are built now: structure your product data with schema markup, automate catalog updates with AI tools, and ensure every listing is 100% complete. Those who start today will have a decisive competitive advantage when AI agents become the dominant purchasing channel.