Customer Journey

Problem statement: To deliver a predictive analytics solution for customers to open complaints tickets or not in the next seven days and also identify the customers with high churn propensity without filing a complaint ticket.

Use case description: Leverage network performance KPIs and network complaint data as primary inputs to predict customers who will and will not open complaint tickets. Used 90 days’ worth of historical data with millions of records. Each record indicates a unique customer on the T-Mobile network.

Agenda:

4:50 pm - 5:00 pm Arrival and socializing
5:00 pm - 5:10 pm Opening
5:10 pm - 6:50 pm Aditi Saluja, "Customer Journey"
6:50 pm - 7:00 pm Q&A

Speaker: Aditi Saluja, T-Mobile

Zoom Link
Webinar ID: 886-4709-3037