Main Purpose
Enterpret is a platform that enables companies to analyze customer feedback at scale. It helps product teams turn customer feedback into product growth and revenue by centralizing and analyzing customer feedback using machine learning technology.
Key Features
- Adaptive AI models tailored to each customer's feedback architecture
- Centralized collection and analysis of customer feedback from various channels (surveys, support, social, sales, etc.)
- Automatic tagging, categorization, and uncovering of customer insights using machine learning models
Use Case
- Analyzing customer feedback to gain insights for product improvement and growth
- Unifying customer feedback from multiple channels and teams
- Identifying trends, patterns, and sentiment in customer feedback
- Enhancing customer experience and satisfaction based on feedback analysis
