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features
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support

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Description

The sophisticated predictive analytics solution designed for telecom companies aims to pinpoint and evaluate crucial factors that influence Churn, ARPU, CLTV, and NPS. With the help of cutting-edge AI and Machine Learning, you can effortlessly allocate satisfaction scores across your entire customer base, facilitating more informed business choices. Supported by Google Cloud, the CHI platform provides an opportunity to interact with a data set modeled after actual telecommunications data. Utilize CHI to assess the vital elements affecting Churn, ARPU, CLTV, and NPS, while also identifying customer segments based on the risk of churn, potential revenue enhancement, and NPS. This platform not only empowers telecom providers to enhance their strategic initiatives but also fosters a deeper understanding of customer behavior and preferences.

Description

Addressing business challenges through sophisticated AI and machine learning technologies for both public and private sectors is essential. This technology streamlines the responses to a significant number of inquiries, exceeding 100, through a chatbot specifically engineered to enhance first contact resolution (FCR). It operates around the clock, identifying potential sales opportunities and managing them autonomously. By promptly addressing questions within its knowledge base, it aligns with customer expectations and efficiently directs other inquiries. Additionally, it automates a considerable portion of calls by resolving simpler queries and ensures customers are connected to the appropriate agents. This process effectively minimizes the abandonment rate to nearly zero. By continuously identifying sales prospects, it empowers customer service representatives while decreasing average handling times. Telecom companies are leveraging machine learning to boost customer satisfaction and enhance the reliability of their networks. Specifically, they can gain advantages from techniques such as predictive modeling, process analysis, fraud detection, churn prediction, and adaptive resource allocation, ultimately leading to a more efficient operational framework. Furthermore, these innovations not only streamline processes but also pave the way for a more responsive and dynamic customer service experience.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Lynx Analytics

Country

Singapore

Website

www.lynxanalytics.com/customer-happiness-index

Vendor Details

Company Name

MindTitan

Country

United States

Website

mindtitan.com

Product Features

NPS

Predictive Analytics

AI / Machine Learning Yes 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare No 
Modeling & Simulation Yes 
Sentiment Analysis No 

Product Features

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