Make your store smart enough to talk to AI
AI agents need the whole answer: live stock, contract pricing, fit and policy. Most of it is not on your product pages. The Commerce Context Engine reads every source, Forward Deployed Engineers normalize it, and every agent answers from the system that owns the fact.
- What is the CCE?
- The Commerce Context Engine (CCE) is the Webscale AI data layer for agentic commerce. It connects your storefront, back-office systems and expert knowledge, normalizes that data into one model-ready context and keeps it live. It also writes actions like orders and returns back to your systems. Every Webscale AI product runs on it.
Why can’t AI agents sell your products today?
Your data was built for web pages, not for AI agents. When an agent sees the wrong price or a sold-out variant, it loses the sale and learns to skip you.
The average retail product page is only about 66% readable to AI. The missing third lives in back-office systems, spec sheets and your product experts, so scraping the site cannot recover it.Adobe Digital Insights AI Visibility, Q1 2026
Pulled from every source
- Back-office data: variant-level inventory, contract pricing, orders and returns
- Spec sheets, manuals and fitment data
- Product expert knowledge: fit, compatibility and install guidance
- Policies and support history, structured as data
One answer everywhere
- A live data path instead of a nightly export
- The same answer on the storefront, the feed and the agent
- Commerce infrastructure and data analytics in the traffic path since 2013
Every source in. Every channel out.
Your store holds only part of what an agent needs. The rest lives in your back office and with your people. The CCE brings it together once and serves every channel from it.
FoundationCommerce Context EngineReads every source. Writes back orders and returns.
A site scrape fails your launch test
These are the questions a merchant team asks before it approves an assistant for go-live. A scrape can only answer what the product page shows.
| Launch testQuestions your team asks before go-live | Site scrapeReads product pages only | CCEReads every source, normalized |
|---|---|---|
| What colors does it come in? | On the product page | Product catalog |
| Is it rated for salt water? | Buried in a spec sheet PDF | Spec sheet |
| Will it fit my boat’s factory cutout? | Not written anywhere online | Installer interview |
| Is the white pair in stock? | Page shows the parent SKU | Live inventory |
| What’s our contract price? | List price only | ERP pricing |
| Which wiring kit do I need? | No compatibility data | PIM and support tickets |
| Result | 1/6 passed. Not ready to launch. | 6/6 passed. Ready to launch. |
Complete, live and model-ready
Reads every source
Catalog, back office, CDP, reviews, help desk and the knowledge your experts carry. Each fact comes from the system that owns it.
Normalizes and validates
Forward Deployed Engineers clean, map and check the data so variants, prices and policies mean the same thing everywhere.
Stays live
A live data path replaces the nightly export, so agents see current stock and current prices.
Writes back
Orders, exchanges and returns created in a conversation land in your OMS and returns portal.
Most of the work is in the data, not the software
Few teams have the time or the commerce data expertise to find the missing third and keep it current. Our engineers work inside your team to do it.
Find what an agent cannot answer today and where the answer actually lives.
Capture fit guidance, installer knowledge and brand voice that no system holds.
Bring every source into one model-ready context and validate it.
Read real conversations after launch and keep refining.
Built on the stack you already run
The engine sits alongside your platform, not in front of it, with no code and no replatforming.
Plus connectors for your PIM, ERP, OMS, CDP, reviews and help desk, including Zendesk.
Commerce Context Engine, answered plainly
No. The Commerce Context Engine reads from your CDP and the rest of your stack. Your systems stay the source of truth, and the CCE turns what they hold into one normalized, live context that AI agents can use.
About a third of what an agent needs is not on your site. It lives in back-office systems (inventory, contract pricing, orders), in spec sheets and manuals, and with your product experts. Forward Deployed Engineers pull it from there and map it in.
Your catalog and site content, reviews, orders and returns, inventory and pricing, customer data, PDFs and spec sheets, support tickets and knowledge base articles, and interviews with your experts.
Start from the questions shoppers actually ask, then find where each answer lives. Most of the gaps sit outside the catalog, in live inventory and pricing, spec sheets, policies and the knowledge of your product experts. Webscale AI's Forward Deployed Engineers run that audit with your team and map every source into the Commerce Context Engine, which keeps it complete and live. The full step-by-step guide.
Usually because the right answer was never in the data the assistant reads. A site scrape or product feed misses about a third of what shoppers ask, including variant-level stock, contract pricing and fit. The Commerce Context Engine gives Webscale AI's AI Shopping Assistant that missing third, with each fact coming from the system that owns it. Where the wrong answers come from.
No. If you run a PIM, the Commerce Context Engine reads from it. The PIM stays the source of truth for product content. If your product content lives in your commerce platform, the engine reads it there. Either way, Webscale AI combines it with your back office, documents, help desk and expert knowledge into one live context. Do you need a PIM for agentic commerce?
No. The CCE is a no-code install on the stack you run today. It works with Adobe Commerce, Magento, Shopify, Shopware, Salesforce Commerce Cloud and BigCommerce.
You do. Your raw data stays yours, and it is de-identified before it reaches any language model.
The engine runs alongside your stack, not in front of it. Your store, checkout and back office keep running without it.
The connection installs in under a day with no code. Launch timing depends on the state of your data. A small merchant with a messy catalog took about eight weeks of data work before its assistant went live.
Give us access to your data and time with your experts. Forward Deployed Engineers do the integration and normalization work.
Start on your own storefront
Connect the Commerce Context Engine and launch the AI Shopping Assistant on the store you already run. The same connection reaches every other channel when you are ready.