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/
More Case Studies
See All
How SPAR ICS Achieved 90% Inventory Prediction Accuracy and Reduced Food Waste with AI
Retail & E-commerce
How Redfin Uses Machine Learning to Provide Accurate Property Appraisals
Real Estate
How Bosch Uses Predictive Analytics to Improve Product Quality and Reduce Customer Complaints
Manufacturing
How BACA Systems Doubled Sales Productivity and Achieved 99.9% Shipping Accuracy with Salesforce Einstein 1 Platform
Manufacturing
How ABB Ltd. Increased Production Efficiency and Reduced Energy Costs with AI-Enhanced Robotics
Manufacturing
How The Serafen Group Reduced Staffing Costs by 40% Using ZyraTalk’s AI Chat for Order Handling
Retail & E-commerce