Webscale Launches Agentic Commerce OS
Today, Webscale introduces Agentic Commerce OS, the first operating system for agentic commerce. This new infrastructure layer captures live shopper behavior, segments audiences in real-time, and guides AI-powered shopping experiences, all from within the infrastructure layer already running your store.
Here’s a closer look at how it works and why it matters for merchants on Adobe Commerce, Magento, Shopware, Shopify, and more.
What Is Agentic Commerce?
Agentic commerce is the next stage of how shoppers find and evaluate products online. Instead of moving between menus and keying in new search terms, shoppers can ask questions and compare products conversationally. At the same time, they can expect responses that are specific to what they’re currently looking at.
Platforms like Google Universal Commerce Protocol (UCP) and OpenAI’s Agentic Commerce Protocols are streamlining this approach by enabling product discovery and purchases directly within the conversational AI interfaces.
For merchants to participate in these channels, their product data and commerce infrastructure need to be structured, synchronized, and API-ready.
Most commerce stacks weren’t designed to accomplish this, but Webscale’s Agentic Commerce OS is.
The Problem with Commerce AI Today
Commerce AI is being deployed on top of infrastructure that wasn’t designed to support it. The result is AI systems that act on incomplete data, which produce inconsistent results when it matters most.
Most teams see shopper insights after the fact. Because data arrives late and audiences are built on old snapshots, the shopper is already gone by the time anyone can act on what they’re seeing.
The three gaps that cost merchants the most include:
- Delayed data – Batch reports and scheduled syncs mean your team is always working with yesterday’s picture. Shoppers move in real time, so your infrastructure should too.
- Manual audience building – Building audience segments means waiting on a data team to write filters and export lists that are outdated before the campaign sends.
- Disconnected AI – Shopping assistants and recommendation engines that aren’t connected to live product and order data tend to produce generic and unreliable responses.
Agentic Commerce OS intends to close all three.
Introducing Webscale Agentic Commerce OS
Agentic Commerce OS runs inside Webscale’s managed infrastructure layer, the same layer that already handles traffic management, autoscaling, and performance for leading commerce merchants. On top of that steady foundation, it also adds three connected capabilities.
Customer Data Platform: Structure the Data
Webscale’s built-in Customer Data Platform collects first-party shopper behavior in real time. This means every page view, product interaction, cart event, and session signal gets captured, structured, and converted into organized shopper profiles with accurate revenue attribution.
This is the principle on which everything else depends. Without current and well-structured data, segmentation can drift, and AI can produce unreliable outputs. The CDP ensures the data is clean before anything else is built on top of it.
AI Segmentation: Refine the Intent
Your team describes the audience they want in plain language, and Agentic Commerce OS uses real CDP data to convert that information into live, structured segments.
Instead of writing filters or waiting on a data team, a marketer can type: “Customers who viewed golf shoes more than three times in the last 14 days and did not purchase,” and get a ready-to-use audience back in seconds. Segments update automatically as shopper behavior changes with no delay, no SQL, and no manual rules.
AI Shopping Assistant: Execute the Experience
The AI Shopping Assistant connects shopper questions directly to your product catalog and order data, along with behavioral context. Unlike a generic chatbot, the system knows what shoppers are looking at and which products they’re comparing. It notices precisely where shoppers commonly get stuck, as well, and then offers assistance.
Every response is constrained to known data sources and is fully auditable. All capabilities are modular and controlled, and merchants retain full visibility into every recommendation and response.
Why This Matters More Than Other AI Announcements
Most AI announcements in commerce describe tools that sit on top of existing infrastructure. They depend on data pipelines that weren’t built for real-time use.
Webscale Agentic Commerce OS is different for three reasons.
- It runs inside your infrastructure, not on top of it. There is no migration and no new platform, so that means no new data pipeline to build. Agentic Commerce OS activates inside the infrastructure we already operate on your behalf.
- Every action is bounded and reversible. Every agent decision, every scaling action, every routing change is logged, attributed, and reversible. You don’t have to hand-control the AI to add a layer of intelligence that operates under your rules.
- It prepares you for where commerce is going. Google’s UCP and OpenAI’s commerce APIs are enabling product discovery, as well as purchases directly inside AI interfaces. For merchants to take part, their data and infrastructure have to align with specific structural requirements. Webscale handles that readiness at the infrastructure level.
Built for Adobe Commerce, Magento, Shopware, Shopify, and more
Agentic Commerce OS is designed to operate underneath your existing e-commerce platform. Webscale currently supports and optimizes for Adobe Commerce, Magento, and Shopware. If you’re running one of these platforms, activation doesn’t require a migration or a new infrastructure investment. Instead, it’s an upgrade to what you’re already running.
The Agentic Commerce Outcome
Merchants who activate Agentic Commerce OS gain five things their current stack doesn’t provide:
- More precise audience targeting based on live first-party data
- A shopping assistant that responds to what shoppers are doing in the moment
- Clearer insight into where shoppers leave the process and why
- Systems that can handle AI-driven traffic and new commerce channels
- Support for emerging platforms like Google UCP and OpenAI ACP without needing to switch platforms
FAQs
What is Agentic Commerce OS?
Agentic Commerce OS is Webscale’s managed infrastructure layer for agentic commerce. It includes a real-time Customer Data Platform, AI Segmentation, and an AI Shopping Assistant, all running inside the infrastructure layer that manages your store’s traffic and performance.
Does activating Agentic Commerce OS require a migration?
No. It works within your current Webscale setup. There’s no need to move platforms, transfer data, or introduce another vendor.
How is this different from other AI shopping tools?
Most AI shopping tools are layered on top of existing infrastructure and depend on data pipelines not designed for real-time use. Agentic Commerce OS runs inside the infrastructure layer itself, which means it has access to live behavioral signals, not delayed exports.
What is Google’s Universal Commerce Protocol, and how does Webscale support it?
Google’s Universal Commerce Protocol (UCP) defines how product data is structured so it can be used within AI-driven search and shopping experiences. Webscale ensures that merchant data meets these requirements, making it usable in those environments.
Is Agentic Commerce OS available now?
Yes. Agentic Commerce OS launched on March 31, 2026.
If you want to see how it works inside your stack, book a walkthrough with our team.
