Customer Echo
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Customer Echo / Understand

AI Customer Feedback Analysis Software

AI that analyzes sentiment, identifies themes, and recommends actions

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Good experiences start with listening.

A layered graphic connects a customer comment to a service theme, frustration and an action to review staffing.
Customer EchoCustomer wordsUnderstandingAction

Built for the way you work

Comprehensive Analytics That Drive Business Growth

Customer Echo analyzes customer comments for sentiment, topics and urgency. See the original words behind each interpretation, review recurring themes over time, and use contextual recommendations to decide what to do next.

From customer comments to themes and practical recommendations

A customer comment connects praise for the team to positive staff feedback and a complaint about waiting to negative waiting feedback.
“Lovely people, but the wait made me late.”
Friendly teamWaiting time
Customer EchoWords in contextA clearer interpretation

01 / Intelligence Engine

Confident Accuracy

Industry-leading NLP engine trained on millions of customer interactions. Our advanced AI delivers precise sentiment analysis that you can trust for business-critical decisions, consistently outperforming competitors in accuracy benchmarks.

  • Trained on millions of customer service interactions
  • Continuous learning improves accuracy over time
  • Benchmark testing against leading sentiment analysis tools
  • Industry-specific model fine-tuning available
A newly received comment about waiting is connected to a waiting-time theme, frustration and a ready-to-respond state.
New feedback
From a new response to a useful theme.

New feedback → Waiting time → Ready for the team

Customer EchoFeedback arrivesAnalysisReady to respond

02 / Intelligence Engine

Real-Time Analysis

Instant sentiment scoring and categorization as feedback arrives. No waiting for batch processing - see customer emotions analyzed the moment they submit feedback, enabling immediate response to urgent issues.

  • Sub-second analysis and scoring
  • Live sentiment streams and alerts
  • Instant priority routing for negative feedback
  • Real-time sentiment distribution tracking
A restaurant manager in a navy apron reviews a peak-time staffing recommendation on a laptop at a brick and stainless-steel preparation counter.
Suggested action
A next step connected to the feedback.

Repeated lunch queues → Review peak-hour staffing

Customer EchoWaiting-time feedbackA staffing decision

03 / Intelligence Engine

AI-Powered Action Recommendations

Transform feedback into immediate action plans. Our AI analyzes each piece of customer feedback and recommends specific, contextual responses to address concerns and capitalize on opportunities, ensuring no feedback goes unactioned.

  • Instant action recommendations for critical issues
  • Context-aware response suggestions for each feedback type
  • Priority scoring to address urgent matters first
  • Automated workflow triggers for common scenarios
Spanish feedback about helpful staff is connected to its English meaning and a shared positive staff theme.
Waiting time
One theme, across different languages.

“La espera fue larga.” → “The wait was long.”

Customer EchoDifferent languagesShared meaning

04 / Intelligence Engine

Universal Language Understanding

Accept and analyze feedback in any language, automatically. Our AI seamlessly translates and understands feedback regardless of language, dialect, or cultural expression, making your feedback system truly global without any setup.

  • Works with virtually any language automatically
  • No language configuration or setup required
  • Understands cultural context and local expressions
  • Handles mixed languages, slang, and colloquialisms
The phrases so kind and felt rushed in one customer comment branch to appreciation and disappointment.
“I felt rushed, even though the team was kind.”
FrustrationAppreciation
Customer EchoOne commentDistinct emotions

05 / Intelligence Engine

Emotion Detection

Identifies joy, frustration, anger, disappointment, satisfaction, and more. Understands mixed emotions and sarcasm. Our AI recognizes 12 distinct emotional states with confidence scoring.

  • Detects subtle emotional cues like disappointment masked as politeness
  • Tracks emotional journey within single pieces of feedback
  • Understands frustration hidden behind formal language
  • Confidence scoring for each emotional state identified
A service manager checking a high-priority customer issue on her phone beside a reception corridor
Needs attention
Give time-sensitive feedback a clear place.

“I’m still waiting for someone to return my call.”

Customer EchoUrgent feedbackTimely attention

06 / Intelligence Engine

Urgency Scoring

Automatically flags critical issues that need immediate attention. Prevents small problems from becoming big ones. Uses machine learning to identify language patterns that indicate urgency.

  • Identifies words like 'immediately,' 'terrible,' 'never again'
  • Detects phrases indicating potential legal action
  • Learns from your response patterns to improve accuracy
  • Customizable escalation triggers by industry and business type
A customer comment about staff, waiting and pricing is separated into three colour-coded topic cards.
Group related comments so the team can see the pattern.
BookingWaiting timeTeam helpfulness
Customer EchoOne commentMultiple relevant topics

07 / Intelligence Engine

Topic Categorization

AI automatically tags feedback by topic - product, service, pricing, support. No manual sorting required. Recognizes hundreds of topics out-of-the-box and learns new ones from your business context.

  • Creates hierarchical topic structures like 'Service > Staff > Friendliness'
  • Handles multi-topic feedback correctly
  • Custom taxonomy support for industry-specific categories
  • Automatically learns new topics from your business context
A desktop display on a sunlit desk showing waiting-time mentions of 8, 12, 10, 7, 5, 4 and 3 from Monday to Sunday, with no people in frame
Waiting-time mentions over a week.Mentions · Mon–Sun
Customer EchoCustomer feedbackWeekly trend

08 / Intelligence Engine

Trend Identification

Spots emerging patterns before they become problems. See what's improving or declining over time. Statistical algorithms detect significant changes in sentiment, topic frequency, and emotional patterns.

  • Review changes in topic frequency over time
  • Compare recurring themes across feedback periods
  • Read the original comments behind a pattern
  • Identify issues that deserve a team review

The difference in the everyday

Advanced AI Sentiment Understanding

Go beyond basic sentiment to understand emotions, urgency, and intent in every customer interaction

Two colleagues in a blue and green repair workshop review a resolved collection-delay issue on a rugged tablet beside a reorganised pickup shelf.
Customer EchoA recurring issueA team improvement
  • Can detect frustrated users before they actually churn from your service
  • Can identify language patterns that signal customers are ready to upgrade
  • Can automatically flag food safety concerns from customer feedback
  • Can review guest feedback and satisfaction trends before planning improvements
  • Can understand sarcasm and mixed emotions in customer feedback
  • Can analyze feedback in 25+ languages with cultural context
  • Can identify which staff members need additional training based on feedback patterns
  • Can spot emerging problems before they become major issues

See the complete picture.

Explore how listening, understanding, and responding connect.

Put it into practice.

Guides and playbooks for a better customer experience.

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Customer feedback

The team made everything easy to understand. Thank you!

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