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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Complyr is a sophisticated complaint management solution tailored for regulated entities seeking improved workflows, enhanced oversight, and robust documentation of complaints. Developed by seasoned experts in complaint resolution, this software enables organizations to abandon the inefficiencies of spreadsheets, shared email accounts, and manual processes. The platform offers a range of features, including structured case management, customizable workflows, secure communication through case portals, document uploads, comprehensive audit trails, and effective reporting tools for management oversight. With all complaint-related history, messages, evidence, actions, and decisions consolidated into a single case file, teams can operate more efficiently while leaders can identify potential issues at an earlier stage. Complyr is specifically crafted for sectors regulated in the UK, such as financial services, insurance, and motor finance, as well as other industries where it is crucial to manage complaints in a fair, consistent manner with thorough record-keeping practices. This tailored approach not only streamlines the complaint resolution process but also enhances overall compliance and accountability within these organizations.

Description

The insurance sector focuses on achieving optimal rates and effectively managing risk. In such a competitive landscape, reducing manual processes is essential to distinguish ourselves from other industry players. A significant workforce is often necessary to sift through, interpret, categorize, analyze, and disseminate information for underwriting and support activities. Much of this information is unstructured and text-based, requiring manual examination. Scaling operations typically involves hiring additional personnel or resorting to outsourcing solutions. It is vital to filter and classify complaints based on their subject matter and severity level. Automotive businesses collect these complaints through various channels, including emails, feedback forms, and comments. Lymba’s Underwriting and Support NLP solution addresses the text-heavy challenges by converting data into actionable insights; this efficiency not only saves time and resources but also facilitates the initial review process, ultimately enhancing overall productivity and decision-making. By leveraging such technology, companies can focus more on strategic initiatives rather than getting bogged down by manual data handling.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

£147/mth/3 users/Standard Plan
Free Trial
Free Version

Pricing Details

No price information available.
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

Complyr

Founded

2023

Country

United Kingdom

Website

www.complyr.co.uk

Vendor Details

Company Name

Lymba

Founded

2005

Country

United States

Website

www.lymba.com

Product Features

Complaint Management

Case Management
Complaint Classification
Corrective Actions (CAPA)
Customer Complaint Tracking
Feedback Management
Forms Management
Issue Tracking
Quality Assurance Management
Routing
Self Service Portal
Social Media Monitoring
Survey Management

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

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

Alternatives

Alternatives

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