Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Aisera
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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)
No
Cataloging / Categorization
No
Collaboration
No
Content Management
No
Decision Tree
No
Discussion Boards
No
Full Text Search
No
Knowledge Base Management
No
Self Service Portal
No
Product Features
Knowledge Management
Artificial Intelligence (AI)
No
Cataloging / Categorization
No
Collaboration
No
Content Management
No
Decision Tree
Yes
Discussion Boards
No
Full Text Search
No
Knowledge Base Management
Yes
Self Service Portal
No