Discovery that ends in action
Make every recommendation shoppable.
Customers describe needs, not SKUs, and they increasingly describe them to an AI agent. AEL, the Agentic Engagement Layer, gives that agent live access to your catalog, stock and checkout, so the moment you're recommended is the moment you can be bought.
- 01 Customer intent →
- 02 Live catalog + stock →
- 03 Cart in the conversation →
- 04 Checkout that converts
The opportunity
Checkout is moving into the conversation.
“Trail runners for wide feet, under $150, that can arrive by Friday.”
Assistants no longer stop at advice. They compare products, fill carts and increasingly complete purchases without opening a website. An agent recommends what it can verify and buys where it can transact. A store it can't read is a store it quietly skips.
The customer flow
From a need to a paid order.
Three moves, one continuous context. Nothing the customer said gets lost between the agent and your checkout.
- 01 / 03 NEED
Understand the need
Capture use case, constraints and budget from the conversation itself, not from keyword matches.
Carries → Use case · size · budget · deadline
- 02 / 03 MATCH
Match against reality
Answer from live catalog, price and stock, so nothing gets recommended that can't be bought right now.
Carries → Shortlist · live price · stock
- 03 / 03 BUY
Close in one motion
Build the cart in the conversation and hand off to your checkout with everything attached, or complete it agent-side where you allow it.
Carries → Cart · offers · attribution
What changes
Better journeys. Measurable outcomes.
- 01 Agent traffic converts Recommendations arrive with a real, in-stock, buyable product.↗︎
- 02 Carts survive the handoff The basket built in the conversation is the basket at checkout.↗︎
- 03 Attribution from day one Every agent-led order is traced back to the question that started it.↗︎
Works with your stack
Connected to the systems e-commerce teams already run.
42A connects to the agent channels, customer data and commerce systems you already use. No rebuild, no migration.
Shopify Personalize discovery, build carts and complete commerce journeys.
WooCommerce Expose products and checkout to agents through structured feeds and tools.
commercetools Make composable commerce available to every AI agent.
Adobe Commerce Expose Adobe Commerce catalogs, pricing and carts to agents.
Algolia Power fast, intent-aware discovery with business-controlled ranking.
Stripe Move safely from agent recommendation to payment and confirmation.
Klaviyo Trigger Klaviyo flows from what shoppers ask AI.
Agentic Commerce Protocol Enable agent-driven checkout through a governed commerce flow.
ChatGPT Turn customer intent into approved, executable brand actions.
FAQ / E-commerce questions
What teams ask about 42A for E-commerce.
Clear answers about how 42A connects context, systems and customer action.
01 What can 42A do for e-commerce brands?
Customers describe needs, not SKUs, and they increasingly describe them to an AI agent. AEL, the Agentic Engagement Layer, gives that agent live access to your catalog, stock and checkout, so the moment you're recommended is the moment you can be bought.
02 How does 42A personalize the e-commerce journey?
It connects three steps in one continuous flow: understanding the need, matching it against live catalog and stock, and closing the purchase in one motion. The experience responds to real intent and consented context, while your approved knowledge, eligibility and business rules stay in control.
03 Where does 42A fit in the customer journey?
Between the first question and the next meaningful action. For e-commerce, that means carrying context from understanding the need through to closing the purchase, without making the customer restart.
04 What outcomes can an e-commerce team measure?
Agent traffic that converts, carts that survive the handoff to checkout, and attribution from day one. 42A also preserves journey-level signals, so you can see how intent, context and actions contribute to those outcomes.
42A for E-commerce
Be the store the agent can actually buy from.
Bring one product line. We will show it being found, matched and bought inside an assistant.