Reducing Documentation Retrieval by 85% with AI-Powered Semantic Search
How a 3PL provider with 200+ warehouses transformed internal knowledge access for 800 operations staff.
The Problem
Operations staff were spending 45+ minutes per shift searching through outdated SharePoint folders. Critical SOPs were buried in PDFs, and new hires took 3+ months to become productive due to tribal knowledge.
- 15,000+ documents across 12 different systems.
- No search functionality beyond exact keyword matching.
- High error rates from outdated procedure references.
The Architecture
We deployed a Semantic Knowledge Agent that understands natural language queries and retrieves precise answers.
Technical Components:
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Semantic Index All docs vectorized with OpenAI embeddings for meaning-based search.
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Chat Interface Slack bot for instant answers: "How do I process a damaged pallet?"
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Auto-Sync Pipeline n8n workflow re-indexes updated docs nightly from SharePoint.
The Results
Within 90 days, average time-to-answer dropped from 8 minutes to under 3 seconds. New hire onboarding was cut from 12 weeks to 5 weeks. The client estimated $320k annual savings in productivity gains.