AI agents in online stores: what's changing for business now
KI-Agenten in Online-Shops werden zu neuen Käufern. Wie Sie Ihr Unternehmen an die bereits stattfindenden Veränderungen anpassen und warum die Reaktionsgeschwindigkeit die Zukunft bestimmt.
Sie lesen die Kolumne von Anatoly Zaika auf der Website GL.UA. Wir entwickeln Online-Shops, und ich, als Gründer des Unternehmens, teile hier meine Gedanken zu den Veränderungen im digitalen Handel. Heute geht es um KI-Agenten in Online-Shops. Das ist nicht die Zukunft – das ist bereits Gegenwart und betrifft alle, die im E-Commerce arbeiten.
Personal experience: ordering without a single click
This morning I was going for a walk with my Doberman Vito and remembered that I needed a convenient bag for training and feeding him. I didn’t have time to search manually, so I handed over the task to my personal AI agent. He selected the right product and arranged the delivery, taking into account my preferences and previous orders.
It was a common household request, but it well illustrates a new model: AI can now independently perform the role of an online shopper .
Buyer behavior has already changed
At the beginning of the year, I told my team: the sequence of changes is obvious. First, the habit of buying online. Then, home delivery or delivery to the post office. Next, groceries, medicines, household items. And now, delegating the function of selection and registration to a system that works at the voice command level .
Online stores that do not take this into account are no longer operating in the current context, but in the past.
AI knows more about itself than the buyer does
A modern agent doesn't just follow commands. It remembers your previous purchases, children's allergies, family members' tastes, seasonality of products, available discounts. It doesn't ask clarifying questions — it acts, and acts quickly.
That is why, in the near future, most recurring orders in the categories of clothing, food, household goods, medicine, and household goods will not be placed by people, but by their digital assistants.
Sites are not ready for such requests
During testing, I found that out of 10 attempts, only one was successful. In most cases, there were technical limitations: complex forms, the need for registration, lack of structured data, and lack of integrations.
Websites were built for people. But there comes a time when the first people to visit a website and try to buy something are not people, but their AI assistants .
What needs to change
UX can no longer just be “user-friendly.” It must become predictable and accessible to automated access systems .
What exactly should be considered:
📎 Official Google Guidelines for Structured Data
How we adapt
The GL.UA AI department has been operating for over a year, and during this time we have changed our approach to many processes. We have automated the creation of technical documents, basic tests, content generation, competitor analysis, and implemented AI completely into all marketing and technical processes.
Now we are introducing a new service - checking the compatibility of an online store with AI agents . We assess how ready the system is for interaction with agents, what barriers prevent orders from being placed, and what needs to be changed to maintain a competitive advantage.
AI agents do not replace people - they take over the routine. And if an online store does not adapt, does not integrate and does not take into account the new reality - it will not be chosen even if the price is good. The choice will be made by a system that thinks according to the logic of efficiency.
Just one step to your perfect website
