Structured Data.
Smarter Intent.
Controlled Execution.
Commerce is shifting from clicks to conversations.
Webscale helps merchants structure their first-party data, refine shopper
intent, and execute that intent through controlled AI-driven experiences,
all inside the infrastructure layer.
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Buying Behavior Is Changing
Shoppers increasingly:

Ask questions instead
of navigating menus
of navigating menus

Compare products
conversationally
conversationally

Expect instant
answers
answers

Discover products
inside AI interfaces
inside AI interfaces
At the same time, platforms like Google AI Mode and OpenAI are introducing structured commerce frameworks that enable buying directly inside conversational experiences.
Most commerce stacks were not designed for this shift.
Webscale's Approach
Agentic Commerce at Webscale follows a simple progression:

Each layer builds on the previous one.
Customer Data Platform
The Foundation
Webscale's Customer Data Platform collects and structures first-party commerce data in real time.
It captures:
Page views
Product views
Cart activity
Orders
Session behavior
Without structured data, segmentation is unreliable and AI produces inconsistent results.
The CDP ensures the foundation is clean before anything else is built.
It captures:
Structured shopper profiles
Canonical product interaction data
Accurate revenue attribution
AI-ready behavioral context

AI Segmentation
Refining Intent into Action
Conversational Segmentation turns natural-language questions into structured audience logic grounded in CDP data.
Benefits:
Faster campaign creation
More precise targeting
Dynamic segment updates
Revenue attribution by segment
Instead of building complex filters, marketers can type:

The system converts that into deterministic segment logic.

AI Shopping Assistant
Executing Shopper Intent
The AI Shopping Assistant connects shopper questions directly to structured product and order data.
It can:
Recommend products
Compare options
Answer product questions
Check order status
Support returns
The assistant reduces friction by aligning shopper intent with merchant product data immediately. All capabilities are modular and controlled. This is not an uncontrolled chatbot.
Responses are constrained to known data sources and fully auditable.
Traditional flow:

Conversational flow:


Ready for LLM Commerce
AI platforms such as Google AI Mode (Universal Commerce Protocol) and OpenAI Commerce APIs are enabling product discovery and transactions directly inside conversational interfaces.
For merchants to participate, product and commerce data must be:
Structured
Support returns
API-ready
Performance resilient
Webscale prepares merchants for this shift by ensuring their data and infrastructure are ready
for AI-driven buying flows, without requiring a platform change.
Learn more:

