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Description
In today's market, customers increasingly anticipate that businesses will offer self-service options as an integral part of their customer support. A core component of achieving a successful and satisfying self-service experience is the implementation of a robust knowledge management system (KMS). This system plays a crucial role in ensuring that the information available through self-service platforms is well-crafted, systematically arranged, and precisely tailored to meet the needs of users at the appropriate times, across various communication channels. When effectively optimized, a knowledge management system can significantly enhance the efficiency of self-service platforms, speed up the resolution of issues, and foster an enriching experience for customers. By leveraging data analytics, organizations can identify and rectify usability challenges, which in turn streamlines self-service workflows and enhances the overall customer journey. Additionally, shifting customer inquiries from immediate interactions to pertinent informational resources can drastically lower support costs, transforming substantial expenses into minimal ones. Ultimately, the integration of these strategies not only meets customer expectations but also positions organizations for long-term success.
Description
Enhance self-service utilization for both customers and employees while improving agent efficiency through the application of contextual knowledge powered by machine learning. By integrating with the Service Portal, users can access a wealth of knowledge, enabling them to search, browse, and read articles conveniently from their desktops or mobile devices. Additionally, leveraging insights into knowledge demand can enhance self-service capabilities and expedite case resolutions by automatically detecting and illustrating knowledge deficiencies, subsequently assigning these gaps to authors for prompt resolution. Furthermore, fostering in-context knowledge generation allows agents and employees to create relevant knowledge articles during their ongoing work processes, such as managing cases or incidents. This approach not only increases the relevance of knowledge but also utilizes machine learning to systematically identify and visualize knowledge gaps for effective assignment. Ultimately, this comprehensive strategy aims to streamline information access and improve overall service efficiency.
API Access
Has API
API Access
Has API
Integrations
Aisera
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Enghouse Interactive
Founded
1984
Country
United States
Website
enghouseinteractive.com/products/knowledge-management/
Vendor Details
Company Name
ServiceNow
Founded
2004
Country
United States
Website
www.servicenow.com/products/knowledge-management.html
Product Features
Knowledge Management
Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal
Product Features
Knowledge Management
Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal