AI-Powered Sentiment Analysis – Client Experience Intelligence
Implemented enterprise-grade sentiment tracking from unstructured communication to help reduce churn and identify at-risk clients.
An enterprise services provider wanted to proactively detect customer dissatisfaction embedded in meeting notes, emails, and manager reports.
Business Challenges
- Manual review of transcripts and notes lacked accuracy
- No standardized sentiment classification across teams
- High effort to detect dissatisfaction early
Plenum’s Solution
- Used GPT-4 and Qwen 2.5 to classify sentiment in communication logs
- Built dashboards to visualize weekly and monthly trends
- Incorporated human feedback loop to fine-tune sentiment scoring
Key Capabilities Used
- Secure NLP Pipeline
- LLM-Based Sentiment Classifier
- Human-in-the-Loop Validation
- Dashboards & Alerts
Outcomes & Impact
Streamlined UAT feedback tracking and risk flagging
3-4
Reduced client churn detection lag by weeks
88%+
Achieved sentiment accuracy of across languages
Technologies
Implemented
GPT-4
Qwen 2.5
Inset BI
Momentum Connect
Secure APIs
What Our Clients Say
As an ERP company, Plenum is trusted by professionals for insight-driven design, branding, and innovation.
Plenum showcases deep knowledge and a thorough understanding of every project they undertake. Their expertise allows them to anticipate challenges and provide effective solutions, ensuring smooth progress. This strong foundation, combined with clear communication, enables them to deliver high-quality results well ahead of schedule.