About Tool

Claritiv AI uses natural language processing and machine learning to analyze audio and video recordings of customer conversations. It identifies key themes, sentiments, pain points, and actionable outcomes, turning raw dialogue into structured insights. This allows sales teams, product managers, and customer success professionals to make informed decisions and improve strategies to meet customer expectations.

Key Features

• Transcription and summarization of audio/video recordings
• Sentiment analysis to gauge customer emotions
• Theme extraction to identify recurring topics
• Actionable insights and recommendations
• Integration with platforms like Zoom, Microsoft Teams, and Google Meet
• Customizable dashboards for different organizational roles

Pros:

• Enhances understanding of customer needs and pain points
• Improves decision-making with data-driven insights
• Saves time by automating conversation analysis
• Scalable for businesses of all sizes
• User-friendly interface

Cons:

• Initial setup and integration may require technical knowledge
• Ongoing adjustments may be needed for new types of interactions

Who is Using?

Sales teams, product managers, customer success professionals, and business analysts in industries such as technology, healthcare, and finance.

Pricing

• Customized pricing based on interaction volume and business needs

What Makes Unique?

Claritiv AI not only transcribes and summarizes conversations but also analyzes sentiment and extracts actionable insights, helping businesses proactively respond to customer needs.

How We Rated It:

• Ease of Use: ⭐⭐⭐⭐☆ — Intuitive and easy to navigate
• Features: ⭐⭐⭐⭐⭐ — Comprehensive tools for conversation analysis
• Value for Money: ⭐⭐⭐⭐☆ — Robust features at competitive pricing

Claritiv AI transforms customer conversations into actionable insights, helping businesses make informed decisions and strengthen customer relationships. Its combination of transcription, analysis, and recommendations makes it an essential tool for teams aiming to optimize engagement.