With AI assistants capable of directly querying product catalogs, a new form of commerce could emerge and redistribute the cards between platforms according to their architecture.
For several months, e-commerce has carefully observed the emergence of generative artificial intelligence models in the purchasing experience. Between conversational assistants capable of recommending products and new integrations between e-commerce and LLM platforms, one idea is gaining ground: that of commerce driven by intelligent agents.
Shopify, for example, is increasing initiatives around AI and integrations with assistants. The ecosystem is clearly preparing for a world where products will no longer only be discovered via web pages, but also via agents capable of interacting directly with catalogs.
But beyond the excitement around LLMs, a more structural question deserves to be asked: what e-commerce architecture is really adapted to this new paradigm?
Because if agents become a new commerce interface, the competitive advantage could well shift to a less visible area: the architecture of the platforms.
From the web of pages to the web of agents
Historically, online commerce has been designed for a relatively simple model: a user navigates a website, views product pages, compares, then finalizes their purchase.
The entire architecture of the e-commerce platforms has been optimized for this model:
- show pages
- organize navigation
- optimize conversion.
But intelligent assistants could profoundly change this logic.
In an agentic commerce model, the user no longer necessarily navigates through a catalog themselves. He can delegate part of the research or decision to an agent capable of understanding an intention and acting for him.
Tomorrow, an assistant could, for example:
- query several product catalogs in real time
- automatically compare prices, availability and delivery times
- filter according to specific criteria such as budget, technical characteristics or environmental impact
- or even directly trigger an order when certain conditions are met.
In this context, the user journey no longer passes exclusively through a web interface. It goes through queries, data and actions exposed to agents.
In other words, we could gradually see a shift from the web of pages to a web of capabilities.
Not all e-commerce platforms have the same strengths
Faced with this evolution, the major e-commerce platforms are not all starting from the same point.
Some benefit from an extremely powerful ecosystem. Shopify, for example, has a capacity for rapid integration and innovation which allows it to experiment very quickly with new uses linked to AI.
Other platforms rely on a massive community and impressive functional wealth, such as WooCommerce and its ecosystem of plugins.
Solutions like PrestaShop, for their part, have built solid expertise in managing complex product catalogs and integrating with different systems.
But another dimension is gradually becoming decisive: the way in which business capabilities are technically exposed.
When architecture becomes a strategic advantage
In a world where agents can directly query systems, a platform must no longer just be able to display pages. She must be able to cleanly expose her data and actions.
This means in particular:
- make product catalogs easily searchable
- allow access to availability, price or variant information
- offer transactional capabilities accessible via API
- orchestrate actions such as adding to cart or creating an order.
In this context, API-first and headless architectures take on particular importance.
These architectures were designed with different logic. Rather than thinking about the user interface first, they structure the platform around services and capabilities exposed through programmatic interfaces.
In other words, they are designed to be consumed by different channels: websites, mobile applications, voice interfaces… and potentially intelligent agents.
Platforms already aligned with this logic
Some e-commerce platforms were designed from the start around this approach.
This is particularly the case for solutions like Sylius, whose architecture is based on three key principles:
- API-first
- headless
- strong modularity
In this type of model, the platform is not just an engine that generates pages. It becomes a commerce infrastructure capable of exposing its capabilities to different systems.
In an environment where agents could directly query catalogs or trigger transactional actions, this type of architecture could represent a structural advantage.
Not because it is intrinsically superior to all other platforms, but because it is particularly suited to a world where interfaces are multiplying and interactions are increasingly taking place through automated systems.
Towards a trade orchestrated by agents
It is still too early to know how quickly agentic commerce will become widespread. Intelligent assistants will have to become more reliable, platforms will have to define interaction standards and companies will have to rethink part of their architectures.
But one thing already seems to be emerging: the commerce interface is transforming.
If tomorrow an increasing share of commercial interactions pass through agents, whether they are integrated into browsers, smartphones or professional tools, the ability of companies to expose their data and services in a structured way will become central.
In this context, the question will no longer just be: which e-commerce site offers the best user experience?
But also: which platform allows agents to interact most effectively with commerce?
And in this new landscape, architecture could well become one of the most decisive competitive advantages.
