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What is PrediCX?

Your contact center is a crucial yet frequently underestimated resource within your organization, consistently providing valuable insights derived from customer interactions. PrediCX is an advanced AI platform engineered to tap into this potential by delivering predictive insights and automating processes across diverse communication channels, ultimately enhancing customer experience and service efficiency. By utilizing AI, organizations can mine predictive insights from each interaction, independent of the communication medium, which allows for personalized recommendations that can increase profitability and improve customer satisfaction. The platform also provides timely notifications for emerging issues, enables automatic coaching, and performs quality assurance for agents throughout their interactions. Furthermore, it effectively prioritizes urgent inquiries and complaints, directing customers to the most appropriate resources. Unlike conventional approaches that depend solely on keywords, the AI within PrediCX leverages conceptual understanding to thoroughly analyze incoming feedback, ensuring that every customer opinion is acknowledged and addressed. The system automates the categorization of queries from digital channels, efficiently classifying them, supporting agents in real-time, and enhancing the functionality of chatbots to deliver superior service. This innovative strategy not only optimizes operational efficiency but also cultivates a culture of agility and ongoing improvement in customer interactions, ultimately leading to higher levels of customer loyalty and retention. By embracing these advancements, organizations can position themselves ahead of the competition in today's fast-paced market.

What is Emotics?

Emotics serves as a sophisticated emotion analytics platform that deciphers textual data derived from feedback from customers and employees, enabling the provision of actionable insights for businesses. By organizing emotions and themes into categories such as strengths, weaknesses, opportunities, and threats, Emotics equips organizations with a strategic lens through which to view their customer and employee experiences. It automatically establishes benchmarks that reveal how companies compare to their competitors, while also pinpointing specific aspects of customer experience that may require improvement or optimization. Moreover, the platform features a proactive alert system that identifies emotions potentially leading to significant business actions, aiding in uncovering the root causes of emotional responses. With the capability to assess emotional intensity across eight distinct indexes and 24 different emotions, it accurately identifies which emotional elements are shaping customer experiences positively or negatively. In addition, Emotics enhances the understanding of customers by integrating seamlessly with various tools, such as NPS, CSAT, product reviews, and social media data, as well as platforms like SurveyMonkey and Zendesk. By transcending conventional sentiment analysis and augmenting NPS capabilities, Emotics emerges as a vital resource for gaining insights into customer perception and engagement. Ultimately, this platform empowers businesses to make well-informed decisions that are underpinned by profound emotional understanding, paving the way for strategic enhancements in customer relations. Such capabilities ensure that organizations can adapt quickly to changing emotional landscapes, fostering stronger connections with their audiences.

Media

Media

Integrations Supported

Zendesk
Freshdesk
Reddit
SAP Business One
SAP Store
Salesforce
SurveyMonkey
X (Twitter)

Integrations Supported

Zendesk
Freshdesk
Reddit
SAP Business One
SAP Store
Salesforce
SurveyMonkey
X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

$495 per month
Free Trial Offered?
Free Version

Pricing Information

$289 per month
Free Trial Offered?
Free Version

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

Warwick Analytics

Date Founded

2011

Company Location

United Kingdom

Company Website

www.warwickanalytics.com

Company Facts

Organization Name

Adoreboard

Date Founded

2011

Company Location

United Kingdom

Company Website

adoreboard.com/platform

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Customer Feedback

Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback

Customer Journey Mapping Tools

Action Management
Attribution Modeling
Behavioral Analytics
Collaboration
Customer Profiles
Data Import / Export
Predictive Analytics
Surveys & Feedback
Templates

NPS

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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