- Commodity Management & Trading
- Customer & Marketing Strategy
- Digital Engineering
- Station Studio
- Supply Chain & Industry 5.0
- Sustainability
AI-Driven Customer Feedback Automation
Traditional feedback models fail to process large volumes of structured and unstructured data fast enough, limiting the ability to identify issues, act quickly, and improve customer satisfaction
A unified and automated approach that transforms feedback into prioritized actions, enabling faster decisions and more consistent customer experience improvements
Accelerate response times by automatically identifying and routing customer issues
Extract sentiment, intent, and root causes from unstructured feedback at scale
Reduce operational noise and focus on the most critical experience issues
Standardize processes across channels to ensure reliable and controlled responses
How NTT DATA helps
Consolidate multi-channel feedback into a single, structured view
Analyze sentiment, intent, and themes across large datasets in real time
Route and prioritize actions to the right teams efficiently
Ensure data quality, control, and responsible AI adoption across the organization
Faster identification and handling of customer issues across channels
Improved customer perception through timely and effective responses
Stronger relationships driven by proactive experience management
Streamlined processes reduce manual effort and improve consistency
Explore how to act on customer insight
