Preventing Customer Churn
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The real-time data insights can help improve these operations to continuously monitor and manage any drop in service performance, model network behavior, and map future demand.
It helps understand customer preferences and identify issues like churn risk by accurately analyzing millions of network usage patterns and hundreds of data points
Benefits for the company
The telecom service providers can reliably detect patterns in consumer needs, allowing them to adjust their services as needed, resulting in a better customer experience.
Feasability
High
Type of expertise/ AI domain
Machine Learning
Internal data required
Customer Interaction data, purchase, billing, service
According to Mckinsey & Company, advanced data analytics can help the telecom industry predict and reduce customer churn by 15%.