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.
Client identity kept confidential
Evidence
Measured with eight pilot users across approximately 150 indexed documents. Broader production rollout was the proposed next phase.
The challenge
The solution
Technology stack
The result
The pilot group rated 84% of answers as useful or correct, and users found answers in under 30 seconds for questions that previously took 15 to 20 minutes of searching or internal escalation.
For the operation, that means less dependency on the same experienced colleagues and less time disappearing into procedural lookup work. That is why the next step was obvious: expand coverage and roll it out more broadly.
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.
