How Shelf.io’s AI-Powered Suggestion Engine and Analytics Improve Contact Center Knowledge Management and Support Outcomes

By: GoBeyond Team
July 3, 2025
3 min read
Shelf.io AI knowledge suggestion and analytics dashboard

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
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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