Reduce support tickets by 30% and achieve a 10% higher containment rate by leveraging insights and continuous knowledge base enhancements powered by LLMs.
Analyze agent conversations using LLM models
Automatically generate knowledge base (KB) articles from successful agent interactions
Transfer complex queries to human agents
Analyze AI-generated topic clusters for bot conversations
Access key insights like conversation share, containment rates, and containment rate opportunities at the topic level
Dive into topic clusters with a detailed percentage breakdown of conversations by sentiment
Evaluate each bot conversation with in-house LLMs
Assess conversations to enhance resolution quality and customer satisfaction
Generate actionable insights to identify opportunities for increasing automation
Get topic level and conversation level breakdown of user sentiments
User sentiment analysis categorized into positive, negative and neutral
Timeline view of user sentiments across a given period to understand trends