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Unlock Insights from AI-Driven Voice Analysis Software
- Real-time Sentiment Analysis
- Automated Speech-to-Text
- Customizable Analytics Dashboards
Real-time Sentiment Tracking
With our real-time sentiment tracking voice analytics software, you can increase customer satisfaction by seeing your customers’ true feelings during interactions while enhancing your service quality.
Automated Speech Transcription
Streamline your business processes, and transcribe calls automatically into searchable text data with automated speech transcription service.
Custom Analytics Dashboard
Meet your company objectives and make the most informed judgement possible by achieving real time information into performance key metrics with custom analytics dashboards.
Transform Your Call Center Operations with Contactpoint360’s Call Center Speech Analytics Software
Reduce Call Monitoring Costs.
Mitigate Compliance Risks.
Improve Employee Retention.
Improve AHT & FCR.
Uncover Customer Insights
Integrate AI-powered Speech Analytics Solution for Your Contact Center
FAQs on Speech and Voice Analytics Software
Why do call centers need voice analytics software?
Voice analytics software provides deep insights from client interactions, enabling call centers to identify trends, enhance service quality, and improve agent performance.
What are the different types of voice analysis?
Voice analysis encompasses various types such as speech-to-text, emotion detection, sentiment analysis, keyword spotting, and trend analysis, all contributing to understanding customer interactions.
How is AI used in contact center speech analytics software?
AI in contact center speech analytics identifies keywords, detects emotions and sentiments, categorizes calls, and generates actionable insights for data analysis.
How does voice analytics figure in customer satisfaction surveys?
Voice analytics allows call centers to analyze client sentiment, emotions, and feedback expressed during calls, leading to improved overall service levels.
What technology is used for speech analytics?
Speech analytics technology utilizes Natural Language Processing (NLP), voice recognition, and machine learning algorithms to facilitate seamless customer interactions.
How to choose the best speech analytics software?
Consider factors like accuracy, scalability, integration capabilities, and customization when selecting the best speech analytics software for your needs.