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

Compare products
conversationally

Expect instant
answers

Discover products 
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.

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