Build fast storefronts and flexible commerce backends with Saleor, Medusa, Vendure, Swell, Next.js, GraphQL, and API-first integrations.
Search demand is around headless ecommerce and replatforming, but delivery success depends on platform fit. We compare each engine against catalog complexity, operations, budget, and team ownership.
Best when GraphQL-first commerce, Python/Django customization, and complex product or channel logic matter.
Strong fit for JavaScript teams that want modular open-source commerce and custom fulfillment or marketplace logic.
Useful for TypeScript-heavy teams needing extensible B2B, marketplace, channel, or custom admin workflows.
Good when a hosted headless backend is preferred but the storefront, checkout, and integrations still need custom control.
The right headless commerce setup should feed the same product, pricing, order, and inventory data into web storefronts, mobile apps, POS, ERP, PIM, and analytics without copying logic across systems.
Headless ecommerce is useful only when it improves speed, flexibility, and operations. We keep the project anchored to storefront performance, checkout reliability, data ownership, and integration clarity.
Next.js product listing pages, product detail pages, cart, checkout handoff, search, account pages, CMS content, localization, analytics, and Core Web Vitals tuning.
Catalog model, inventory, customers, orders, payment flow, tax, shipping, promotions, subscriptions, admin permissions, and backend workflows.
ERP, PIM, POS, warehouse, CRM, email, subscriptions, fraud tooling, analytics, and customer support systems connected through explicit API contracts.
QA, redirect testing, data reconciliation, DNS cutover, monitoring, rollback plan, conversion tracking, and post-launch issue triage.
A headless ecommerce project timeline depends on catalog complexity, integration requirements, and whether migration is part of the scope. Below is a realistic build schedule from a headless ecommerce agency.
Current stack audit, plugin dependency map, data quality review, SEO asset inventory, integration list, and migration risk assessment.
Commerce engine selection, API contract design, data model mapping, storefront framework decision, and integration blueprint.
Storefront development, commerce backend setup, data migration, checkout flow, integration connections, and staging environment QA.
DNS cutover, redirect validation, conversion tracking audit, performance monitoring, rollback plan, and post-launch issue triage.
Catalog size and data complexity directly affect migration and QA time — larger catalogs with custom attributes require more validation passes.
ERP/PIM integration scope determines API contract negotiation time and end-to-end testing cycles before launch.
Custom checkout or B2B logic adds development time but reduces post-launch rework when built properly in the first phase.
Staged rollouts with traffic splitting can extend the timeline but reduce launch risk for high-revenue stores.
Choose the backend, storefront, and integration model after the migration audit, not before it.