Nagent AI
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Sentiment Intelligence & Feedback Synthesis

Analyzes 100% of customer interactions using NLP to identify emerging product issues and satisfaction drivers .

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Voice-of-Customer Analytics Engine

Voice-of-Customer Analytics Engine

By Nagent

Trusted by teams at

BigBasket
Kimberly-Clark
EPSON
Winsupply
Giottus
Navratna
Dr. Agarwals
Emami
GEP
Nippon Paint
Annotationworld
Soch
Grasshoppers
Dermi Cool
Madmonk
BigBasket
Kimberly-Clark
EPSON
Winsupply
Giottus
Navratna
Dr. Agarwals
Emami
GEP
Nippon Paint
Annotationworld
Soch
Grasshoppers
Dermi Cool
Madmonk

Watch it in action

See Voice-of-Customer Analytics Engine work — live.

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Voice-of-Customer Analytics Engine — Demo

Who uses this agent

Job roles it augments

Head of Customer Success

Tier-1 resolution and CSAT improvement

Support Lead

Ticket triage and escalation routing

CX Manager

Knowledge base maintenance and response quality

Customer Success Manager

Proactive health monitoring and intervention

Industry fit

Relevant industries

Also used in

FMCGB2B SaaSE-commerceHealthcareBFSIGlobal Capability Centres

What Voice-of-Customer Analytics Engine does

Key capabilities included with every deployment.

Omnichannel Listening across tickets, transcripts, and social media.

Emotion Intensity Scoring prioritises fixes to prevent churn.

Competitive Mention Tracking, identifying win/loss themes against rivals.

Predictive CSAT forecasting satisfaction before formal surveys are sent.

Insight Distribution Workflows: routing data to Slack or Jira.

Before agent
Product teams miss systemic issues by relying on anecdotal feedback.
Signal delays mean issues are caught 3-6 months late.
Unstructured data overwhelms support teams, leaving insights buried.
Cross-functional blindness hides customer friction from engineering.
Reactive product roadmaps driven by assumptions, not data.
After agent
Automatic Topic Extraction categorises interactions without manual tagging.
Emerging Issue Detection flags sudden spikes in complaints within 24 hours.
Impact Quantification prioritises fixes by revenue at risk.
Product Intelligence Feeds auto-generate actionable weekly reports.
Closed-Loop Automation notifies customers when issues are resolved.
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Guidebook

Customer Support Agent Best Practices

Follow these practices to get the best results from Voice-of-Customer Analytics Engine from day one.

1

Upload your full knowledge base and product documentation before first run

2

Define clear escalation rules — when the agent should hand off to a human

3

Monitor resolution rate in the first two weeks and fine-tune failure patterns

4

Keep the knowledge base updated — stale docs are the #1 cause of wrong answers

5

Set tone and formality guardrails to match your brand voice

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What clients say

Real teams. Real results.

Nagent's agents cut our content production cycle from 5 days to under 24 hours. The KARMIC loop means they actually get better the more we use them.

Chethan M.

Head of Marketing, Leading FMCG Brand

We deployed a lead research agent in two weeks. It now runs 6 hours of manual SDR work every morning before our team starts. The ROI was obvious in month one.

Priya S.

VP Sales, B2B SaaS Company

The forward-deployed model is what sets Nagent apart. They didn't just hand us software — they stayed until it worked and our team could operate it independently.

Arjun K.

CTO, Global E-commerce Platform

Verified results from Nagent AI deployments. Individual agent performance may vary by use case.

Build a similar agent — your way

Use the Agent Building Studio to create a version of Voice-of-Customer Analytics Engine tailored to your data, your systems, and your workflow. Helix will help you design and validate it — no code required.

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Enhance or extend Voice-of-Customer Analytics Engine

Already using Voice-of-Customer Analytics Engine but need more? Our Agentic AI Lab can extend it — add custom integrations, connect your proprietary data, build multi-agent workflows around it, or deploy it inside your own infrastructure.

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Free to start

Start using Voice-of-Customer Analytics Engine today.

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Connect your own data sources
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Custom build

Need it customised for your workflow?

Our forward-deployed engineers can tailor Voice-of-Customer Analytics Engine to your exact data, systems, and business logic — and deploy it in weeks.