Headless storefront on GraphQL API
Load speed and Core Web Vitals improve and conversion rises — the frontend evolves independently of the backend.
eCommerce
Magento (Adobe Commerce) — an open e-commerce platform for complex catalogs, omnichannel retail and B2B. KT.
For eCommerce, Magento is about catalog volume and peak load: sales, thousands of SKUs and omnichannel without storefront slowdown.
Industry solutions
Capabilities
Load speed and Core Web Vitals improve and conversion rises — the frontend evolves independently of the backend.
Complex item master, variants and attributes are managed in one place without degrading search and filters.
Relevant results and personalized selections raise average order value without a separate license or your own search clusters.
Best-in-class modules (payments, search, CMS) are assembled to fit the task; swapping a component does not break the rest.
Dealers see their own prices and catalogs, order approval runs online — less manual work for managers.
Sales and seasonal spikes are handled without storefront crashes or lost orders.
Customization lives in adjacent microservices, not core patches: Magento updates install without rewrites.
Multiple storefronts, languages and currencies on one backend — a unified catalog and orders across all channels.
Approach
We don't fork or patch the Magento core. Magento stays on a standard, upgradable version — business logic moves into separate adjacent microservices, so platform updates don't break your customizations.
Where a mature international solution exists, we use it instead of inventing our own protocol or platform. Before writing code, we study how the problem is already solved in the industry.
The solution is loosely coupled and documented: it can be handed over between teams and contractors without rewriting. You are not tied to us.
AI compatibility
Built-in AI search analyzes visitor behavior and the catalog, delivering relevant autosuggest and results without maintaining your own search clusters.
Adobe Sensei builds 'customers also bought', 'for you' and 'popular' selections from history and behavior — higher average order value.
A mature GraphQL API (including B2B queries) gives LLM agents and external services structured access to the catalog, cart and orders.
Product descriptions and attributes can be generated and normalized by AI pipelines in microservices alongside Magento.
Dashboards of search queries and zero-result hits feed merchandising models and reveal what to add to the catalog.
News
An MCP server was announced at Adobe Summit 2026: AI agents gain access to the catalog, cart, prices, stock and checkout. It depends on the Integration Starter Kit and AppBuilder.
Adobe announced support for the open UCP (Google) and ACP (OpenAI/Stripe) protocols, in addition to Agent Payments Protocol, so products can be purchased through ChatGPT and Gemini.
The AI suite analyzes the implementation, builds a migration path to ACCS, and rewrites legacy code into event-driven components. Status is coming soon; it is not publicly available yet.
2.4.9 added Symfony 7.4 LTS and PHP 8.5, extended CAPTCHA to REST/GraphQL (closing the API bypass). 581 core improvements; the clearCart mutation is now open to Open Source.
Projects
Contacts
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