Telecom & Media
Elevate Cx in Telecom with AI
35 % increase in CSat Score
20 % Reduction in Churn Rate
- Problem Faced
- High call center volumes and long resolution times.
- Declining customer satisfaction due to generic, impersonal interactions.
- Inefficient churn management and inability to predict customer needs proactively
- Solution Offered
- AI Virtual Assistants: Automate routine inquiries, reduce wait times.
- Personalized CX: AI-driven
recommendations and tailored solutions. - Churn Prediction: Identify at-risk customers for targeted retention.
- Sentiment Analysis: Monitor and address customer sentiment in real-time.
- Benefits
- Enhanced customer satisfaction through faster, personalized service.
- Reduced operational costs by
automating repetitive tasks. - Increased customer loyalty by proactively addressing pain points.
- Improved brand perception through real-time sentiment analysis
Approach
Discover
Map the end-to-end customer journey to identify pain points (e.g., billing issues, slow support). Analyze existing CX metrics like CSAT, Net Promoter Score (NPS), and churn rates
Design
Develop virtual agents, BOTS & predictive analytics models for churn & personalized recommendation engines. Integrate these tools with CRM systems for seamless data flow
Deliver
Deploy virtual assistants across digital channels (website, app, social media). Implement proactive notifications for issues like data overages or service outages
Review
Track KPIs such as average resolution time, CSAT scores, churn rates, and operational cost savings. Continuously refine AI models based on feedback and performance data
