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Ratings and Reviews 0 Ratings
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What is Biz7?
Numerous business activities result in the production of a significant amount of documents, which can create difficulties in finding and managing pertinent information tied to specific files, contexts, or terms. Luma7 effectively tackles these issues by generating automatic links between documents without the need for keywords, metadata, or tagging systems. Utilizing advanced algorithms, it scrutinizes the text within each document to identify potential relationships, thereby exposing the connections that exist among different files. This innovative system simplifies the oversight of generated documents, allows for the linking of various documentation sources, and guarantees the automatic creation of links across a multitude of files. Moreover, it establishes relationships between different concepts and documents, provides automated tagging that incorporates relevant keywords that may not be included in the text, and applies connection processes throughout the entire archive of articles. It also includes entity recognition capabilities that span across multiple documents and offers support for a variety of languages, thereby increasing its adaptability and usefulness for an array of business requirements. Ultimately, Luma7 revolutionizes how organizations handle their documentation by making access to interconnected information more straightforward and efficient, thus fostering better decision-making and collaboration.
What is Allganize?
Allganize provides exceptional AI solutions aimed at boosting the effectiveness of customer and employee support within organizations. After just four months of deployment, businesses can automate around 72% of their monthly support inquiries, greatly reducing the workload on their teams. Our AI technology is adept at handling simple customer requests, which frees up support agents to tackle more complex issues. Employees can also interact conversationally to retrieve information from diverse document formats. The conversational AI chatbot, which is pre-trained and tailored for your website, optimizes customer service workflows. Moreover, our advanced search capability quickly retrieves accurate answers from any document type, identifying key terms and organizing them to generate valuable insights. The system excels in understanding the context of product reviews by leveraging natural language processing to determine whether customer experiences are positive or negative. Additionally, it categorizes customer support dialogues into specific groups, allowing for a precise understanding of user intent and enhancing service delivery. This holistic approach not only boosts operational efficiency but also significantly improves the overall experience for both customers and employees, ultimately driving business success. As a result, organizations can look forward to a more streamlined and effective support system.
Integrations Supported
Facebook
KakaoTalk
LINE
LINE WORKS
Microsoft Teams
Slack
Unremot
Integrations Supported
Facebook
KakaoTalk
LINE
LINE WORKS
Microsoft Teams
Slack
Unremot
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
$2 per month
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Luma7
Company Location
Switzerland
Company Website
luma7.com/biz/biz7.php
Company Facts
Organization Name
Allganize
Company Location
United States
Company Website
allganize.ai/
Categories and Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Categories and Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering