Service & Support use cases focuses on managing the customer data efficiently, supporting customers using chatbots, handling ticket responses,sentiment analysis, recommendation system and real time customization.

Problem Statements

  1. How to provide better support by analysing customer response?
  2. How to recommends different products to the customer?
  3. How to provide 24*7 support to the customer?

Key Machine Learning Models

  1. Customer churn prediction
  2. Happiness Index
  3. Sentiment Analysis
  4. Recommendation system
  5. Resource Optimizations
  6. Customer response model

Key Business KPIs

  1. Customer Attrition percentage
  2. Happiness Index
  3. Resource Utilization
  4. Customer satisfaction score
  5. First contact resolution

Data Sources

  1. Ticket respones/call responses
  2. Customer search
  3. PeopleSoft
  4. Excel/CSV Reports