This startup develops an AI-driven Customer Relationship Management system specifically for call center managers and quality supervisors. By automating the analysis of customer interactions, it enables clients to identify deviations and emerging trends, enhancing decision-making based on accurate customer feedback.
Funding
$670K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Call centers and customer service teams often struggle with inefficient quality monitoring processes, relying on manual analysis of a small fraction of customer interactions. This leads to missed opportunities for improvement, inconsistent agent performance, and difficulty in identifying emerging customer issues. The lack of comprehensive insights hinders effective coaching, risk mitigation, and optimization of sales strategies.
Solution
Feedae provides an AI-powered platform that automates the analysis of 100% of customer calls in real-time, offering a comprehensive solution for quality monitoring and performance enhancement. By leveraging generative AI and expertise in customer relations, Feedae identifies key insights, classifies call types, and optimizes interactions to improve customer experience, boost sales, and reduce operational costs. The platform integrates with existing telephony systems and CRMs, providing detailed reports, actionable recommendations, and automated summaries directly within the user's workflow. Feedae empowers managers and quality supervisors to focus on strategic coaching and proactive management, driving significant improvements in agent performance and customer satisfaction.
Target Audience
Feedae is designed for customer service directors, call center managers, quality supervisors, and sales leaders seeking to improve agent performance, enhance customer experience, and optimize operational efficiency.
Features
- AI-driven analysis of 100% of customer calls for comprehensive quality monitoring
- Automatic evaluation of calls based on customizable evaluation grids
- Real-time detection of anomalies, complaints, and emerging customer issues
- Integration with telephony systems and CRMs for seamless data flow
- Automated call summaries and insights delivered directly to the CRM
- Speech-to-text transcription for efficient call analysis
- AI-powered email drafting to automate agent follow-up
- Reporting dashboards for monitoring team performance and identifying trends
- Secure data analysis and GDPR-compliant data hosting