What is QoreMail?

QoreMail is an advanced automation solution crafted for effective communication management. This state-of-the-art tool utilizes existing channels while facilitating the creation of new pathways, streamlining low-value business processes that require no human intervention, thus enabling your team to concentrate on more significant tasks. By scrutinizing both structured and unstructured data, QoreMail swiftly transforms it into actionable and pertinent information with remarkable precision. Consequently, you can greatly improve the productivity of your core operations while reducing operational costs, frequently achieving a return on investment in under a year. Additionally, QoreMail skillfully evaluates incoming communications to pinpoint and extract essential information relevant to your business, such as account numbers, project identifiers, file references, product specifics, invoice details, order information, key dates, and personnel names, among other crucial data points. Ultimately, this tool not only enhances operational efficiency but also equips organizations with the insights necessary for rapid decision-making in a fast-paced environment. With its robust capabilities, QoreMail positions companies to adapt swiftly to changing demands and capitalize on new opportunities.

Integrations

No integrations listed.

Screenshots and Video

QoreMail Screenshot 1

Company Facts

Company Name:
Coginov
Date Founded:
2002
Company Location:
Canada
Company Website:
www.coginov.com/en/qoremail/

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Webinars
On-Site Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

QoreMail Categories and Features

Natural Language Processing Software

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization