Laava LogoLaava

Project context

Logistics Knowledge Retrieval Layer

Knowledge layer for logistics teams that answers operational questions from internal documentation with source-backed responses, so staff stop losing time in manuals, folders, and colleague escalations.

Logistics operation with complex internal procedures2025
Knowledge base chat interface
84%
Answer relevance
~150
Documents indexed
8
Pilot users

The challenge

The solution

Technology stack

Qdrant + Azure OpenAILangGraph RAG Agent

Next step

Want to explore where this could land first in your operation?

Start with one concrete process. In the AI Opportunity Scan we assess where AI adds value and what the best first route looks like.

Logistics Knowledge Retrieval Layer Case Study | Laava