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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Our proven methodology enhances your knowledge base by identifying the inquiries users frequently have, subsequently crafting responses that are accessible and easy to digest. We consistently track tickets for recurring questions, ensuring your knowledge base remains up-to-date. IT tickets serve as indicators of the queries users pose. We highlight tickets that could have been resolved through self-service assistance, such as 'how-tos' and various other Tier 1 issues. Utilizing advanced machine learning classifiers, we categorize self-service tickets based on over 1000 ontologies, organizing them by inquiry. These categorized groups are prioritized according to their frequency, allowing us to pinpoint the most essential FAQs. Quality control checks are conducted on answer segments before they are linked to the corresponding FAQs. Once this process is complete, the questions and answers are primed and ready to be integrated into your knowledge base, enhancing user experience and self-service efficiency. This systematic approach not only streamlines access to information but also empowers users to find solutions independently.

Description

Utilize the LabiKnow Knowledge Base to address your customers' inquiries and concerns around the clock, providing exceptional self-service support. This platform features a user-friendly online editor that enables the creation of engaging content tailored for your audience. You can incorporate images, videos, tutorials, call-to-action buttons, and emphasize key segments, as well as include code samples. Your customers will have the flexibility to access answers to their queries or solutions to their problems on both desktop and mobile devices, or they can reach out to you through a ticketing system via email. The LabiKnow help center software also allows for easy design customization to align with your brand identity. By implementing this solution, you can significantly decrease the volume of incoming customer support requests by as much as 80%. Rather than spending time responding to repetitive questions or copying and pasting information, empower your customers to find the answers they need independently. There's no requirement for complex chatbot setups; simply enable users to search for information effortlessly by entering relevant keywords or phrases in the help widget. This streamlined process not only enhances user experience but also boosts overall efficiency for your support team.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$39 per month
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

Kaleo Software

Founded

2013

Country

United States

Website

www.kaleosoftware.com

Vendor Details

Company Name

LabiKnow

Founded

2019

Country

United States

Website

labiknow.com

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

Alternatives

Alternatives

Malcolm! Reviews

Malcolm!

Acknowledgement