Multiple buyer interfaces
Separate interfaces may share approved catalog, pricing, and order services. Compare buyer tasks and maintenance needs with the interfaces the existing commerce product already supports.
Software · Cloud
Data · AI

Headless commerce separates the buyer interface from commerce services through APIs. Composable approaches combine selected services when the operating need justifies their added coordination.
Headless commerce separates the buyer interface from commerce services through APIs. Composable approaches combine selected services when the operating need justifies their added coordination.
A commerce product may combine its buyer interface and transaction services or expose APIs for separate experiences. Compare the selected product’s supported configuration, extensions, interfaces, and maintenance requirements before deciding to separate them.
In a headless architecture, the commerce engine exposes its capabilities via APIs. Your frontend — built in React, Next.js, or any other framework — calls those APIs to get products, prices, and cart state. You can build multiple frontends (Ecommerce portal, dealer portal, mobile app, kiosk) all powered by the same backend commerce engine.
Composable commerce combines selected services for tasks such as search, pricing, checkout, or content. Replacing one service still requires reviewing its interfaces, data ownership, security, and the operating handoffs that depend on it.
A useful system earns its place by making records, workflows, controls, or decisions easier to own.
Separate interfaces may share approved catalog, pricing, and order services. Compare buyer tasks and maintenance needs with the interfaces the existing commerce product already supports.
Evaluate configurators, product views, and account-specific experiences against existing product capabilities before approving a separately developed interface.
Some interface changes can be released separately from commerce services. Coordinate contracts, testing, security, and releases when a change affects shared data or transaction behavior.
At high order volumes and SKU counts, separating the frontend rendering layer from the transaction engine can improve performance and scalability.
Headless Commerce is part of PHASE 2–3: ARCHITECTURE PATTERN. Sequence it around the records, workflows, and people it depends on.
Agree the required buyer tasks, authoritative records, API behavior, access, and service boundaries. Evaluate whether configuration or extensions meet the need and assign delivery and ongoing support for any separately developed components.
Verified service boundaries can support additional buyer interfaces or evaluated AI assistance. Each use needs its own permissions, performance, transaction tests, support, and acceptance.
Agree ownership across the customer experience, commerce services, and operating systems. Practice account, product, order, and exception handoffs across those boundaries.
Read adjacent system pages to understand where records, handoffs, and governance boundaries should sit.
See how this system connects to the records, workflows, and operating controls around Headless Commerce.
Read explainerRelated SystemSee how this system connects to the records, workflows, and operating controls around Headless Commerce.
Read explainerRelated SystemSee how this system connects to the records, workflows, and operating controls around Headless Commerce.
Read explainerRelated SystemSee how this system connects to the records, workflows, and operating controls around Headless Commerce.
Read explainerStart with the operating task, its owner, and the information it needs. These operating stages and Roadmap Solutions explain possible changes. Metrotechs assesses the need and leads the approved work with the delivery team, including training, practice, and review of results.
Review what Headless Commerce should own, which records and handoffs it depends on, and what employees must learn and maintain. Metrotechs assesses the operating task and leads approved system changes and practical AI applications through the complete Roadmap, with employee review, training, and acceptance.