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. 

Group

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.

Khalid Abi Kahlil

CTOO SCB Bahrain

Plenum is one of the most professional and reliable companies. They are fully transparent throughout every project and consistently deliver well ahead of schedule. Their commitment to clear communication and timely completion truly sets them apart

Shehrazade Hasan

CTOO SCB Qatar 

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