S — Starter
Full-service dedicated
- 1 storefront, < 5,000 SKUs
- 1 channel, 1 language
- RAG pipeline, 1 AI use case
- 1 payment, 1 shipping

Sylius with an MCP server, RAG pipeline on product data, Schema.org markup as the default, and provenance signatures for manufacturer claims. Composable Commerce on Symfony, ready for SGE, ChatGPT shopping, and customer-support agents that actually know your inventory.
Sylius runs in production at Moselwal itself, not as a demo. What we recommend to you is the platform that carries our own business. AI-Ready Commerce as a Service is the stack we have extracted from that experience and packaged for the mid-market.
AI-Ready isn't a switch, it's an architecture. These four components together deliver what classic shop setups simply can't.
Ed25519 signatures for manufacturer claims, ingredients, and origin information — important for food, cosmetics, pharma, and any sector where product claims must be verifiable.
Indexing of products, FAQs, shipping and returns policies, category descriptions, and manufacturer texts — as the knowledge base for customer-support agents and the product concierge in the storefront.
Schema.org JSON-LD for Product, Offer, AggregateRating, Brand, and HowTo generated automatically from the Sylius resource model — no manual template care required.
Standard tool set for AI agents: product.search, product.get, category.list, order.list, order.get, customer.lookup, inventory.check, cart.get, cart.update, policy.get. Permissions per tool and per agent class.
Both variants are fully managed packages including maintenance, updates and major upgrades. Minimum term 12 months; with a monthly contract, onboarding is invoiced once upfront.
Hosting bei Moselwal in Deutschland, mTLS, CrowdSec WAF, 24/7 Monitoring. Wartung, Updates und Major-Upgrades übernehmen wir, ebenso MCP-Server und RAG-Pipeline. Geeignet, wenn Sie Hosting und Betrieb komplett aus einer Hand wollen.
Hosting auf Ihrer Infrastruktur, Wartung, Updates und Major-Upgrades übernehmen wir. mTLS, MCP-Server und RAG-Pipeline ebenfalls inkludiert. Geeignet, wenn Sie die Hosting-Hoheit behalten möchten oder regulatorische Vorgaben das fordern.
Hosting with Moselwal in Germany, mTLS, CrowdSec WAF, 24/7 monitoring. We handle maintenance, updates and major upgrades, including the MCP server and RAG pipeline. Suitable when you want hosting and operations entirely from one provider.
Hosting on your infrastructure; we handle maintenance, updates and major upgrades. mTLS, MCP server and RAG pipeline included. Suitable when you want to retain hosting sovereignty or when regulations require it.
Full-service dedicated
Full-service dedicated
Full-service dedicated
Full-service dedicated
Full-service self-hosted
Full-service self-hosted
Full-service self-hosted
Full-service self-hosted
What does BitBag's platform ownership mean for your stack?
Since 2023 Sylius has been owned by BitBag, the platform's largest implementation partner. That is a legitimate market decision, and it is precisely why customer-owned architecture matters more for you, not less. Your code, your data, your stack stay with you, regardless of how the platform's roadmap evolves. Forking readiness included.
Open Source, Symfony-nativ, API Platform für Headless-Storefronts und Multi-Channel-Anbindungen. Kein Vendor-Lock-in.
Bestand, Bestellungen und Versand sind als Tools für KI-Agenten verfügbar, mit Audit-Trail je Tool-Aufruf. Standard-konform.
Product/Offer/Review-Markup als Standard, kryptografische Signaturen für Hersteller-Aussagen. KI-Suchsysteme finden Ihr Sortiment.
Hosting-Standort Deutschland, AVV in deutsch, Verfahrensverzeichnis als Vorlage, Verantwortliche bleiben Sie.
Open source, Symfony-native, API Platform for headless storefronts and multi-channel integrations. No vendor lock-in.
Inventory, orders and shipping are exposed as tools for AI agents, with an audit trail per tool call. Standards-compliant.
Product/Offer/Review markup as the default, cryptographic signatures for manufacturer claims. AI search systems can find your inventory.
Hosting in Germany, DPA in German, processing register as a template, you remain the data controller.
These three application scenarios are the obvious first ones — more will emerge as soon as the first productive setups go live.
Major customers order by voice command or chat. The agent checks terms (customer-specific pricing, minimum order quantities, delivery SLAs), validates stock, and places orders. Human confirmation optional.
A storefront generator that automatically creates category landing pages, product comparison pages, and theme hubs from product clusters — including Schema.org markup and semantic linking. Editorial decides what goes public.
Customers chat directly with the shop. The agent knows stock, delivery times, order history, shipping options, and returns rules — real data, not generic boilerplate. Escalation to human staff clearly defined.
Four posts from our blog that already document the AI-Ready patterns on the TYPO3 side — the architecture transfers to Sylius.
The DevOps setup we'll use to run AI-Ready Commerce in production — the same engineering depth as on the TYPO3 side.
What AI-readiness means on a real platform — demonstrated here on the TYPO3 stack, with the same standard for Sylius.
How we run migrations with AI agents — the same mechanics apply to product catalogue migrations.
What it means when AI agents reach directly into your content — applies in the same way to products and categories.
Composable Commerce on Symfony, AI-ready and without vendor lock-in.
Häufig in Kombination gebucht.
If you've got a concrete Sylius use case and want to be a pilot partner: drop us a line. If you just want to stay informed once stage 1 is live: via the engineering newsletter. Both without sales pressure.
Oder einfach informiert bleiben: zum Newsletter · Direkt schreiben: kontakt@moselwal.de
Bestandsaufnahme, Sortiments-Analyse, Channel-Definition, Tier-Wahl. Am Ende steht eine klare Architektur-Skizze.
Sylius-Aufbau, MCP-Server-Integration, RAG-Pipeline auf Produktdaten, erster Channel produktiv. Deployment-Pipeline scharf.
Eval-Datasets, AI-Use-Cases scharfschalten, Schema.org-Markup und Provenance-Signaturen. Erste KI-Tool-Aufrufe gehen produktiv.
Soft-Launch, Monitoring, Übergabe an Ihr Team. Ihre Mitarbeiter:innen führen den Shop danach selbst weiter.
Inventory, assortment analysis, channel definition, tier selection. The result is a clear architecture sketch.
Sylius setup, MCP server integration, RAG pipeline on product data, first channel goes live. Deployment pipeline armed.
Eval datasets, AI use cases activated, Schema.org markup and provenance signatures. First AI tool calls go to production.
Soft launch, monitoring, handover to your team. Your staff continues to run the shop without us afterwards.