Understand Real Customer Sentiments & Decide Next Big Actions with Artiwise's AI-Powered Sentiment Analysis Capabilities

Don't focus on collecting bulk customer insights. Explore Artiwise to seize your customers' intentions to launch and improve customer experience initiatives.

CXM Solution Trusted by Global Leading Companies

A Secure and Regulation-Compliant VoC Platform

AI-Based
Data Masking

AI-driven technology masking ensures that all sensitive data, including names, identification numbers, and addresses, is securely anonymised.

Automatic
Anonymization

Automatically anonymize sensitive data while analyzing customer feedback to ensure privacy.

Compliance with
Data Protection Regulations

Stay compliant with global data protection laws and regulations effortlessly with our AI-based solution.

Compliant with

Leverage the Power of Topic-Based Sentiment Analysis with Artiwise

Artiwise excels in integrating and analysing data from diverse communication channels, capturing a wide array of customer emotions for deeper insights. Utilising machine learning, deep learning and sentiment analysis algorithms, the platform instantly extracts topic-based sentiment classes from customer feedback.

Continuously analysing spontaneous feedback with AI-driven sentiment analysis, Artiwise detects the topics affecting customer experience negatively and provides businesses with holistic views of customer opinions and actionable insights.

This approach reveals bottlenecks affecting customer satisfaction and showcases which actions should be prioritised based on customer sentiments.

How Artiwise's Customer Sentiment Analysis Tool Works

Integration with Customer Feedback Channels

Artiwise integrates and analyses data from various communication channels, such as calls, texts, and online reviews.

Real-Time
Visualisation of Customer Feedback

The platform consolidates customer feedback data from inbound and outbound channels into a single repository.

Categorisation of Customer Feedback

AI-powered natural language processing (NLP) sentiment analysis tools analyse text to extract sentiment values using context, relationships, and patterns.

Identification of Customer Sentiment Scores

User-friendly dashboards and sentiment analysis tools display common negative and positive customer sentiments along with their root causes.

Support for Strategic Decision Making

Comprehensive reports summarise recommended actions to enhance customer experience initiatives based on detailed sentiment analysis.

VoC Sentiment Analysis Solution with Industry Specific AI Models

Automotive

Telecommunications

Retail & GPG

Banking & Finance

We Guarantee Sustainable
Customer Satisfaction with Artificial Intelligence

Holistic
CX Approach

Combining multiple channels on a unified CX platform for tracking actionable customer insights in real-time with a 360-degree view.

AI-Powered
VoC Analysis

Ensuring sustainable customer satisfaction with the power of AI-based Voice of Customer analysis, pinpointing critical bottlenecks in customer experience.

Strategic
Decision Making

Empowering strategic decision-making with industry-specific AI modeling and sentiment-driven CX ROI calculation, all within just one week of our rigorous POC analysis.

Artiwise: CXM Solution Equipped with Sentiment Analysis AI Capabilities for Different Roles & Teams

CX
Professionals

Product Quality
Teams

Contact Centre
Professionals

Location-Based
Operation Managers

Benefits of Artiwise Sentiment Analysis Platform for Delivering the Ultimate Customer Experience

Enables Monitoring Overall Customer Satisfaction

The top reason customers switch brands is because they feel unappreciated.

Allows for Creating Personalised Experiences

80% of customers say they are more likely to do business with a company if it offers personalised experiences.

Analyses Current CSAT & NPS Scores

Combining both NPS & CSAT scores together offer actionable insights for continuous improvement.

Helps Capturing Customer Expectations

66% of customers expect companies to understand their unique needs and expectations.

Creates a Customer-Centric Vision

Companies with a customer experience mindset drive revenue 4-8% higher than the rest of their industries.

Improves the Quality of Customer Service Operations

96% of customers say customer service is important in their choice of loyalty to a brand.

Don’t Just Take Our Word for It — Hear It from Our Clients

Artiwise has greatly deepened our understanding of the customer experience. Moving beyond Excel, we now harness AI to run extensive and insightful analyses.

Migros

Sales Planning Executive

We consider Artiwise a best practice solution in customer experience. It helps us deliver exceptional service in the most effective and consistent way.

Renault Mais

Customer Experience Director

Artiwise has taken us from where we were last year to a much stronger position today. With their guidance and technology, we’ve achieved remarkable progress in our customer journey.

Tofaş

Product Engineering Quality

With Artiwise CXM Platform’s AI, analyses are virtually limitless — enabling deeper insights and smarter decisions throughout the customer journey.

Stellantis

Customer Experience Director

14 March 2024 |

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Frequently Asked Questions

What is customer sentiment analysis?

Customer sentiment analysis is a data processing technique that evaluates and interprets customers’ opinions, emotions, and attitudes from their written or spoken feedback. This analysis transforms subjective “customer sentiment” into actionable insights, allowing businesses to understand and respond to customer perceptions effectively.

Why is customer sentiment analysis Important?

Customer sentiment analysis is crucial for businesses because it enables them to understand the emotions and opinions of their customers towards their products or services. This understanding helps in identifying customer needs, improving product quality, enhancing customer service, and tailoring marketing strategies.

What types of customer sentiment analysis exist?

Aspect-Based Sentiment Analysis: This granular approach breaks down customer feedback into smaller units, called aspects, related to specific features of a product or service. For each aspect, it evaluates the sentiment expressed, providing detailed insights into customer preferences and areas for improvement.
Positive, Negative, or Neutral Categorisation: Most sentiment analysis tools categorise feedback as positive, negative, or neutral. However, advanced types identify emotions, urgency, and other intentions from customer text data.
How does customer sentiment analysis benefit businesses?

Understand Consumer Needs: Insights from sentiment analysis help companies better understand consumer needs.
Improve Operations and Products: Businesses can enhance operations, products, or services based on customer feedback.
Enhance Customer Satisfaction and Experience: By acting on sentiment insights, companies can improve overall customer satisfaction and experience

What is the importance of real-time sentiment analysis in big data?

Real-time sentiment analysis plays a pivotal role in the realm of Big Data. As people actively share their views and opinions on platforms like Facebook, a wealth of textual information is generated in real time. By analysing this data, we gain insights into public sentiment, political decisions, and public opinion. Organisations can leverage sentiment analysis to monitor brand experiences, customer sentiments, and campaign performance. It’s a powerful tool for understanding how people feel about specific subjects, making it essential in today’s data-driven landscape.

Ready to understand what truly drives your customers' emotions?

Artiwise reveals the key insights behind your customer feedback, helping you make data-driven decisions for a better experience. Contact us to discover how sentiment analysis can shape your strategy.