Sentiment & Feedback Analysis
Analyzes customer sentiment from support interactions and feeds the results back to service teams.
Business impact
- Net Promoter Score — American Express credits the rollout with improving Net Promoter Score, but no numerical amount is given.
- Tracked members — Caesars reports that more than 45 million Total Rewards members are tracked across the travel journey.
Data requirements
- Support call recordings (audio) — Used by American Express to assess customer sentiment on support calls.
- Visual feeds (image) — Used by Caesars for emotion recognition and behavioural analysis.
- Win/loss data at stations (tabular) — Used by Caesars alongside visual signals to identify offers.
AI methods and techniques
- Machine learning — Used to assess sentiment on support calls and to analyse customer signals from multiple sources.
- Emotion recognition — Used in the Caesars deployment to detect emotion from visual feeds.
- Behavioural analysis — Used in the Caesars deployment to interpret customer actions from visual feeds.
Industries
Real-world evidence
2 documented case studies on record.
Companies using this: American Express, Caesars Entertainment.
View the full profile with evidence, implementation detail, and comparison tools
Explore full use case →
Explore full use case →