LLM Integration – language models directly in your eCommerce

AI-powered product search, intelligent order assistants, automated product descriptions – we integrate large language models in a way that generates real business value.

LLMs as a tool, not hype

Product search is a clear use case: customers search for "washable jacket for toddlers", not the exact article number. A semantic search understands that. Equally clear: automated product descriptions for large catalogs.

What we don't do: use AI for AI's sake. Every LLM deployment must have a clearly measurable business impact.

  • Intent over keyword matching – relevant results even without the exact product nameSemantic product search
  • Conversational commerce with real-time product search and context-aware recommendationsOrder assistant & chat
  • SEO-optimized descriptions from PIM data – scalable, multilingualAutomated product copy
  • LLMs enriched with your catalog, FAQ, and policy data for precise answersRAG architectures

Long-term partnerships with leading brands

ABUS
AIDA Cruises
Cyberport
Fegime
HARTING
Heel
HSE
HUK Autoservice
Kardex Remstar
Lavazza
Lekker Energie
Möbel Boss
Müller
NKD
porta Möbel
Segmüller
SOKA-BAU
Witt Gruppe
ABUS
AIDA Cruises
Cyberport
Fegime
HARTING
Heel
HSE
HUK Autoservice
Kardex Remstar
Lavazza
Lekker Energie
Möbel Boss
Müller
NKD
porta Möbel
Segmüller
SOKA-BAU
Witt Gruppe

Frequently Asked Questions

For most use cases we work with OpenAI GPT-4o or Anthropic Claude. For privacy-sensitive applications we recommend Azure OpenAI or local deployments. The model choice is secondary – what matters is the architecture around it.

LLM integration means: the model informs and assists – it searches, recommends, explains. The human decides. Agentic Commerce means: the agent acts autonomously – it orders, cancels, adjusts prices – within defined parameters.

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Deploying LLMs Where They Actually Create Value.

Talk to us about your AI requirements.

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