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Platform overview

One commerce context. Every agentic channel.

The Commerce Context Engine reads every source your shoppers’ questions depend on and keeps it live. Three products run on it: one on your storefront, one for marketing and one inside AI chat. Start with any of them.

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The foundation

The Commerce Context Engine under everything

Most AI reads a product feed and guesses. The CCE reads every source, from live first-party behavior in the traffic path to spec sheets and expert knowledge. Forward Deployed Engineers normalize it, and every product runs on it.

How the Commerce Context Engine works
How it fits together
Webscale AI is built on the Commerce Context Engine (CCE), a data layer that connects your store, back office and expert knowledge. The AI Shopping Assistant, Audience Segmentation and AI Ads all read the same live context, so a shopper gets the same answer in every channel.
Catalog
Behavior
Orders
Spec sheets
Pricing
Expert knowledge
The products

Three products with full data context

Each is sold and used on its own, and each reads the Commerce Context Engine from day one. So it delivers by itself and compounds with the rest.

AI Shopping Assistant

One conversation that sells and serves.

Discover, compare, ask, check an order, start a return. Same conversation.

A single interface on your storefront. It answers from every source in the Commerce Context Engine, and exchanges and returns write back to your systems. Your voice, your guardrails.

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Audience Segmentation

Describe the audience. Deploy it on live data.

Plain language in. A live, self-updating segment out.

Marketing should not wait days on an analyst for an audience that is stale the moment it ships. Describe it in plain language, get deterministic segment logic on live behavioral data, and activate straight into Klaviyo or Magento. Membership updates as shoppers act.

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AI AdsComing soon

The ad becomes the shopping conversation.

Ask the ad. Buy in the chat. Report orders, not clicks.

Sponsored units inside AI chat that answer from live product, price and inventory data, target audiences built with Audience Segmentation and report each order back into bidding.

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Individually or as a suite

Start with one. Add the rest when you are ready.

Bought separately, tools share nothing. Built on the same commerce context, they work as one. Every product delivers on its own because it reads the Commerce Context Engine from day one.

Shoppers abandon at discovery and product questions go unanswered. Start with the AI Shopping Assistant.

Marketing waits on analysts to build audiences. Start with Audience Segmentation.

You want to reach shoppers where they now ask for recommendations. Join the AI Ads waitlist.

Why this is different

Built from the data up, not bolted on

The difference is in the data. An assistant that reads every source, normalized and live, behaves differently from a wrapper reading a scraped page or a synced feed.

Every source

Real data, not a scrape

Answers reflect live inventory, contract pricing, spec sheets and expert knowledge. A bolt-on works from a copy of the product page that is missing about a third of what an agent needs.

Forward Deployed Engineers

Engineers, not just software

Commerce data experts audit, clean and map your catalog alongside your team, then keep it current after launch.

Merchant-owned

Your agents, your rules

You control which agents run, what each one knows and when. Answers stay grounded in your catalog and approved sources, so the assistant stays on brand and on fact.

42%
Better conversion from AI assistant traffic

Traffic from AI assistants is already converting better than other traffic. The shift is happening now, and a first-party foundation is how you meet it.

Traffic from AI assistants versus other traffic, March 2026. Adobe Digital Insights.
Questions

The platform, answered plainly

Webscale AI is built on the Commerce Context Engine, a data layer that reads every commerce source and keeps it live and model-ready. The AI Shopping Assistant, Audience Segmentation and AI Ads run on it.

No. Each product is sold and used on its own. Because all three read the same Commerce Context Engine, each one you add starts from data that is already connected.

Adobe Commerce, Magento, Shopify, Shopware, Salesforce Commerce Cloud and BigCommerce, with connectors for your PIM, ERP, OMS, CDP, reviews and help desk.

AI Ads is coming soon. The AI Shopping Assistant and Audience Segmentation are available now.

No. The Commerce Context Engine reads from your CDP and the rest of your stack. Your systems stay the source of truth.

Last updated
One platform

Every source in. Every channel out.

One commerce context. Three products that work on their own or together. Start with one and add the rest when you are ready.

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Commerce AI you can trust.