Categories / AI
AI
AIBeyond keywords: building a recommendation engine for how people actually shop in 2026
Recommendation has moved from a static 'customers also bought' strip to an intent-aware, real-time, vector-based discovery layer. Here is where the field is heading, and what we are building for B2B Intershop: a sovereign, first-party recommendation engine.
AIBetter product content, on your own terms: AI for descriptions, translation, and attribute enrichment
AI is now the default engine for product data enrichment: descriptions, translation, and attribute completion. Here is why we run it as local, sovereign models inside your own environment rather than shipping your catalogue to a third-party service.