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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Mr. Wolf is a platform designed for automating e-Service Desk operations, enabling the efficient handling of various incidents, tasks, and tickets. It is specifically tailored for teams utilizing tools like JIRA, BMC Remedy, ServiceNow, and HP Enterprise. The initial step involves categorizing tasks into relevant classifications, which is accomplished through an automated machine learning module. Once classified, the tasks designated for automation are executed following predefined processes. These processes are articulated in Python, ensuring straightforward implementation and rapid integration with external systems and services. With over a decade of experience in solution integration, we seamlessly connect with your ERP, CRM, Contact Center, E-Commerce platforms, and more. Our expertise in integration is the driving force behind our solution, allowing us to operate quickly, effectively, and securely, ensuring a smooth workflow for your team. By leveraging our platform, organizations can significantly enhance their operational efficiency.

Description

fastText is a lightweight and open-source library created by Facebook's AI Research (FAIR) team, designed for the efficient learning of word embeddings and text classification. It provides capabilities for both unsupervised word vector training and supervised text classification, making it versatile for various applications. A standout characteristic of fastText is its ability to utilize subword information, as it represents words as collections of character n-grams; this feature significantly benefits the processing of morphologically complex languages and words that are not in the training dataset. The library is engineered for high performance, allowing for rapid training on extensive datasets, and it also offers the option to compress models for use on mobile platforms. Users can access pre-trained word vectors for 157 different languages, generated from Common Crawl and Wikipedia, which are readily available for download. Additionally, fastText provides aligned word vectors for 44 languages, enhancing its utility for cross-lingual natural language processing applications, thus broadening its use in global contexts. This makes fastText a powerful tool for researchers and developers in the field of natural language processing.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Gensim No 
JavaScript No 
Jira Yes 
Jira Service Management Yes 
Jira Work Management Yes 
Python No 
ServiceNow Yes 
WebAssembly No 

Integrations

Gensim Yes 
JavaScript Yes 
Jira No 
Jira Service Management No 
Jira Work Management No 
Python Yes 
ServiceNow No 
WebAssembly Yes 

Pricing Details

$7800 per year
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
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 Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

BlueSoft

Founded

2017

Country

Poland

Website

bluesoft.com/product/mr-wolf/

Vendor Details

Company Name

fastText

Website

fasttext.cc/

Product Features

Customer Service

Alerts / Escalation No 
Appointment Management No 
Call Center Management No 
Email Management No 
Knowledge Base No 
Live Chat No 
Performance Metrics Yes 
Queue Management No 
Self Service Portal Yes 
Social Media Integration No 
Surveys & Feedback No 
Virtual Assistant No 
Workflow Management Yes 

Product Features

Alternatives

Alternatives

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