Quick Overview
Shelf.io provides an AI-powered suggestion engine and analytics dashboard that helps contact center agents navigate complex recommendations, track performance, and eliminate fragmented “shadow knowledge.” Real-time analytics and RAG (Red-Amber-Green) optimization tools improve troubleshooting and support outcomes by delivering faster query handling and better content maintenance.
Shelf.io
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Enhancing knowledge management to improve agent efficiency and customer support quality
Key Metrics
\- Faster query handling\- Improved content maintenance\- Reduced operational inefficiency\- Enhanced troubleshooting accuracy
The Problem
Fragmented knowledge bases and inconsistent content limited agent effectiveness and customer satisfaction
The Solution
AI-driven suggestion engine with real-time analytics and content optimization integrated into contact center workflows
Results
\- Increased agent productivity\- Faster resolution times\- Better knowledge consistency\- Improved customer experience
Details
Industry
Technology & SaaS
Departments
Customer Support & Service
Knowledge & Information Management
Use Cases
Support Analytics
Tags
Knowledge Retrieval (RAG)
Analytics Dashboard
Real-Time Processing
Enhanced Decision-Making
SaaS
AI Tools Used
No items found.
Sources
https://shelf.io/blog/9-compelling-ai-implementation-examples-that-elevate-contact-center-knowledge-bases/
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