For years, optimizing your e-commerce customer service meant responding quickly, managing returns well and training your agents, it was enough but in 2026, this is no longer quite the case, a new reality is gradually emerging: some of your “customers” are no longer humans, they are AI agents who act on their behalf.
This phenomenon, called agentic commerce, caused a stir at the NRF 2026, the global retail conference. Google and Walmart jointly announced their vision of a store where intelligent agents search, compare and finalize purchases independently, without the user lifting a finger, Amazon launched “Buy for Me”, OpenAI tested its Instant Checkout with Stripe and Etsy, it's no longer a laboratory experiment, it's in production.
The idea behind the agentic commerce is simple, a user says to his assistant: “Find me a pair of trail shoes under 150 euros delivered before Friday”, the agent interprets this intention, compares the offers available on several sites, selects the best option according to the criteria defined and finalizes the order, often without the person having visited any product page.
For major retailers, technical integrations are already in place, Visa, Mastercard and Google have each launched their secure payment protocols for agents (TAP, Agent Pay, UCP) and Shopify and Stripe are partners in these new standards, the wheels are turning.
For entrepreneurs and small businesses who sell online, the question is not “is this going to happen?” but “is my customer service ready when that happens?”
When an AI agent places an order instead of a human, the reasons for contact change, the classic requests like “What is the status of my order?” are already managed automatically in most modern tools, what will explode are disputes related to purchases that the customer did not directly validate, requests for cancellations or returns on products ordered independently, and questions about transactions that the buyer discovers afterwards.
A study published in January 2026 by CitizenCall makes it clear: customer service will have to manage a new type of customer, the AI agent, with new contact reasons and a new processing logic and ignoring this reality means finding yourself overwhelmed by a volume of cases that your teams do not know how to deal with.
There is an even more immediate challenge for e-retailers, if your product data is not structured, if your data sheets are incomplete, if your delivery times are not clearly legible by a machine, an AI agent will simply not select you, it will choose a competitor whose catalog is better formatted.
Visibility in agency commerce does not work like traditional SEO, what matters is data clarity, accurate descriptions, real-time stock, explicit return conditions, merchants whose information is the most readable by an AI have a direct competitive advantage, whether their store is on Shopify, WooCommerce or any other platform.
The good news is that you don't have to be a big retailer to get ready, just three quick reflexes are enough to get started.
First, audit the quality of its product data and ensure that each sheet is complete, consistent and up to date.
Then, automate responses to the simplest customer service requests to free up bandwidth on complex cases.
Finally, centralize all order and transaction data in a single tool, to have a clear vision of what is happening even when an agent has triggered the purchase.
This is exactly what Klark allows you to do: aggregate data from your e-commerce tools (Shopify, Stripe, PayPal...), automate reminders and responses, and manage your business from a single place, in a world where your customers delegate their purchases to AIs, having a centralized cockpit is no longer a luxury.
