We put AI to work where it actually pays off in an online store — product descriptions and meta data written at catalog scale, technical attributes filled out automatically, translations for new markets, and AI search that understands what a shopper is actually looking for.
Most AI in ecommerce is sold as a feature. We treat it as a way to remove work and increase revenue: writing thousands of product descriptions nobody had time for, translating a catalog into a new market without a translation budget, helping a buyer find the right part on the first search, and answering the routine questions that fill your support inbox.
We implement AI inside your existing Magento 2 or Shopware store, connected to your real product data — not as a separate tool your team has to remember to use.
Where AI works in ecommerce
Content & product data
The work that scales badly by hand: descriptions, meta data and attributes across a catalog with thousands of SKUs.
→Product descriptions generated from real product data
→Meta titles and descriptions for SEO at catalog scale
→Automatic technical attribute fill-out from external sources
→Image tagging, alt text and duplicate content clean-up
→AI assistant for automatic generation of landing pages
Search & product recommendations
Search that understands intent rather than matching strings — so shoppers and technical buyers find the right product faster.
→Semantic search that handles synonyms and typos
→AI wizards that help the user find the right product in large and complex catalogues
→Product recommendations based on behaviour and context
→AI boosts products in categories based on sales data and behaviour
Chatbots & customer support
An assistant that knows your catalog, your delivery terms and your policies — and hands over to a person when it should.
→Chatbots answering product, stock and delivery questions
→Order status and returns handled without a ticket
→Draft replies for your support team to review and send
→Escalation rules so complex cases reach a human
Translations & new markets
Opening a new market usually stalls on content. AI removes that blocker while keeping ecommerce terminology consistent.
→Full catalog translation into new languages
→Consistent terminology through a managed glossary
→Translated meta data and category content for local SEO
→Faster launch of a new market storefront
→Continuous translation updates when the source content changes
Your data stays yours
We use business-grade AI services rather than consumer tools, so your catalog, customer and order data is not used to train public models. Where requirements demand it we scope EU-hosted processing, and we agree upfront which data may leave your systems and which may not.
Stores we work on
Large, complex catalogues are where AI pays off fastest.
Tell us where the manual work is today — content, translations, search or support — and we will show you what is realistic, on a sample of your own data.
Straight answers on what AI can realistically do in a webshop, what it costs and how your data is handled.
How can AI be used in an online store?
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The highest-value uses in ecommerce are content and product data at catalog scale (descriptions, meta data, technical attributes), translations for new markets, semantic search and product recommendations, and chatbots that handle routine product, stock and delivery questions. We start from where the manual work is, not from a feature list.
Can AI write my product descriptions?
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Yes. We generate descriptions from your real product data — attributes, specifications and datasheets — rather than from the product name alone, so the text is accurate and consistent. Output can be reviewed and approved before publishing, or published automatically once you trust the results.
Can AI translate my webshop into other languages?
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Yes, and this is one of the strongest cases for AI in ecommerce. We translate the full catalog, category content and meta data, using a managed glossary so product terminology stays consistent. It removes the usual blocker when opening a new market.
What is AI search and how is it better?
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Traditional search matches strings, so a typo or a synonym returns nothing. Semantic search understands intent — it handles synonyms, typos and descriptive queries, and can power part finders for technical catalogs. Buyers find the right product on the first search instead of leaving.
Can you add an AI chatbot to my store?
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Yes. We implement chatbots connected to your catalog, stock, delivery terms and policies, so answers reflect your actual data. They handle product, order status and returns questions, and escalate to a person when a case needs judgement. They can also draft replies for your team to review instead of answering directly.
Does AI work with Magento and Shopware?
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Yes. We implement AI inside your existing Magento 2 or Shopware store, connected to your product data, PIM or ERP, so it runs on live data automatically rather than as a separate tool your team has to remember to open.
Is my product and customer data safe?
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We use business-grade AI services rather than consumer tools, so your catalog, customer and order data is not used to train public models. Where requirements demand it we scope EU-hosted processing, and we agree upfront which data may leave your systems and which may not.
How much does AI implementation cost?
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It depends on catalog size and which use cases you start with. Generating descriptions for a few thousand SKUs is a different project from a semantic search rollout plus a support chatbot. We always prove the output on a sample of your real data first, and set up model choice, batching and caching so a catalog-wide run stays predictable rather than becoming an open-ended bill.
