AI-Powered Conversation Intelligence
AGM Network Conversational Analytics delivers comprehensive chatbot analytics with NLP, sentiment analysis, and intent detection. Our solutions analyze conversations from chatbot platforms, contact centers, messaging apps, and voice assistants to provide actionable insights.
We implement dialog flow analysis, conversation path tracking, drop-off analysis, and containment rate optimization. Our systems track customer satisfaction, response quality, resolution rates, and escalation patterns across all conversation channels.
From entity extraction and topic modeling to conversation summarization and quality scoring, AGM Network ensures optimal conversation performance. We deliver real-time dashboards, AI insights, automated reporting, and predictive analytics for conversational AI.
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Conversational Analytics Capabilities
- Bot Performance
- Conversation Volume
- Containment Rate
- Resolution Rate
- Response Time
- Intent Detection
- Sentiment Analysis
- Emotion Detection
- Tone Analysis
- CSAT Scoring
- Flow Analysis
- Path Tracking
- Drop-off Points
- Fallback Analysis
- Conversation Length
- Quality Scores
- Response Quality
- Accuracy Metrics
- Confidence Scores
- Error Analysis
- Entity Extraction
- Topic Modeling
- Keyword Extraction
- Language Detection
- Summarization
- AI Insights
- Bot Optimization
- Training Insights
- Escalation Analysis
- A/B Testing
Conversational Analytics Benefits
Understand customer intent with high accuracy using advanced NLP and deep learning models.
Monitor conversations as they happen with live dashboards and instant performance metrics.
Analyze conversations across chatbots, messaging apps, voice assistants, and contact centers.
Track customer sentiment throughout conversations to identify satisfaction and frustration points.
Visualize conversation paths, identify drop-off points, and optimize dialog flows for better outcomes.
Improve chatbot performance over time with AI-powered training recommendations and insights.
Increase bot containment rates by identifying and fixing conversation bottlenecks automatically.
Discover trending topics, emerging issues, and common questions with automated topic modeling.
Measure and improve response quality with automated scoring and quality benchmarks.
Extract key entities like dates, locations, products, and names from conversations automatically.
Connect with Dialogflow, Watson, Lex, and other platforms for unified analytics across bots.
Predict conversation outcomes, escalation risk, and customer satisfaction with AI models.