Shopware Development
Shopware 6 shops, themes, plugins and migrations for brands selling in Europe and the US.
We connect language models and automation to the tools your team already uses. No demos that die in a slide deck: every project is scoped around a task that saves time or earns money, and measured against it.
Support and sales assistants that answer from your own catalogue, docs and order data.
n8n and custom pipelines that route orders, tickets, emails and documents without manual copying.
Generate and translate titles, descriptions and attributes at catalogue scale, with human review.
Semantic search and product suggestions that understand what shoppers mean.
Turn invoices, PDFs and emails into structured records your systems can use.
Connect OpenAI, Anthropic and open models to your apps with logging, cost limits and fallbacks.
We pick the tool that fits the job: a visual automation platform when your team needs to maintain it, custom code when it needs to scale.
Pick an example and press run. Each step shows what happens, from the trigger to the final action.
Shopware sends a webhook
AI flags unusual orders and fixes address typos
Paid and low risk: continue. Otherwise: human review
Order, customer and stock updated by API
Summary posted to Slack
Arrives in the support inbox
AI detects language, topic and urgency
Uses your help docs and the customer's order data
Refunds and complaints go to your team
Reply sent or queued, ticket updated
PDF lands in email or a shared folder
AI extracts supplier, amount, VAT and due date
Match against the purchase order
Entry created in your accounting system
Mismatches sent to a person with the reason
Start with one task and examples of successful and unsuccessful outcomes. A support assistant, invoice extraction workflow and product-enrichment pipeline need different data, review rules and success measures.
Representative inputs, approved source documents, existing APIs and the people who will review exceptions. Remove unnecessary personal information from examples.
Data quality, integrations, response time, review requirements and expected usage. Model and third-party service costs should be considered separately.
Agree a small test set before development. Check answer quality, failed requests, cost per task and whether a person can correct or stop the workflow.
Have a brief ready? Discuss the scope with Devizart.
We pick one repetitive, measurable job where AI clearly helps.
A working version on your real data within days, so you judge results, not promises.
Add guardrails, review steps, monitoring and cost controls.
Plug it into your shop, ERP or internal tools and train your team.
We use provider settings and contracts that exclude training on your data, and we can run open models on your own infrastructure when needed.
We ground answers in your data, add review steps for anything customer-facing, and log outputs so problems are easy to spot.
Yes. Most of our AI work is integration: connecting models to existing shops, ERPs and internal tools through their APIs.
We start with a short, fixed-price prototype so you see value before committing to a larger build.
Shopware 6 shops, themes, plugins and migrations for brands selling in Europe and the US.
Custom web applications, portals, APIs and integrations, engineered to be maintained.
iOS and Android apps that feel native, with the backend and store release handled.
Describe your project in a few lines. You get a reply with next steps within one working day.