AI · Commerce
Product Advisor
An AI-supported Shopware 6 product adviser using embeddings and semantic vector search.
- Role
- Software Engineer
- Year
- 2026
- Technology
Semantic search
Overview
Product Advisor is described as an AI-supported product adviser for Shopware 6. The focus is the connection of a product catalogue, embeddings, and semantic search.
Overview
Context
The project places AI capabilities inside an existing commerce context instead of building an isolated chatbot.
Problem
The central question is how people can find relevant products by meaning and intent, not only by exact keywords.
Solution
The described solution includes product indexing, embeddings, and semantic recommendations. Configuration, consent, and protection mechanisms are part of the technical scope.
Architecture
Known building blocks are Shopware 6, PHP/Symfony, JavaScript, MariaDB, Docker, and OpenAI or Ollama for embeddings and AI-assisted processing. The complete internal architecture is not publicly documented.
Technical decisions
The stated decisions concern pragmatic Shopware integration, the choice between hosted and local AI processing, and security and performance considerations.
Challenges
Relevant challenges include privacy and consent, rate limiting, session state, administration, security, and performance.
Outcome
No verified public metrics or outcome statements have been supplied.
Main functionality
- Product indexing
- Embeddings and semantic recommendations
- Consent handling
- Rate limiting and session history
- Administration configuration
Visual
No verified screenshots were supplied — this visual remains deliberately typographic.