Of interest to: E-commerce managers, online retailers, marketing managers
What the presentation was about
AI-powered customer service is fundamentally transforming e-commerce—and large language models (LLMs) are the key game-changer in this evolution. Today’s customers are accustomed to expressing their needs in natural language—a habit shaped by tools like ChatGPT, Gemini, and messaging services. Traditional store search functions, however, cannot keep up with this new communication pattern: A sentence like “I need pants to go with a blue blazer for a business event” is treated as a simple string of keywords—resulting in irrelevant results, endless filtering, and abandoned purchases.
In our presentation at Digital Bash E-Commerce, Dominik Brauch from Epoq demonstrated exactly how LLMs come into play here: not as a replacement for search, but as a translator and advisor that precedes it. He explained how an AI shopping assistant understands natural language inputs, recognizes purchase intentions, and guides customers through a conversational process to the right purchasing decision—right within the store, without any disruption in the user experience. Learn more in the presentation!

Learnings
Find out
- Why LLM-based consulting is becoming the new standard in e-commerce
- Why traditional store search reaches its limits with natural language queries
- how LLMs act as translators between the user's language and search results
- How chat-based assistance in-store reduces abandoned carts and returns
- which specific use cases demonstrate how three sentences can lead to three better purchasing decisions
- The 6 Benefits an AI Shopping Assistant Offers Your Online Business
Speaker
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| Dominik Brauch Senior Key Account Manager Epoq |
The webinar is presented by
