Multi-agent system for predicting customer churn and generating retention strategies

A method comprising:

• receiving, from one or more sources, network telemetry data indicative of network performance metrics, and customer interaction data indicative of one or more of customer engagement or customer sentiment;
• generating, using a correlation model and based on at least the network telemetry data and the customer interaction data, labeled data indicative of network performance and customer sentiment correlations;
• determining, using the labeled data and one or more time-series regression models, one or more churn predictions indicative of a likelihood that a customer will discontinue service;
• and
• outputting, to a user interface, the one or more churn predictions and one or more confidence scores associated with the one or more churn predictions;
• outputting, to the user interface and based on at least the one or more churn predictions, one or more retention strategy recommendations.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive, from one or more sources, network telemetry data indicative of network performance metrics, and customer interaction data indicative of one or more of customer engagement or customer sentiment;
• generate, using a correlation model and based on at least the network telemetry data and the customer interaction data, labeled data indicative of network performance and customer sentiment correlations;
• determine, using the labeled data and one or more time-series regression models, one or more churn predictions indicative of a likelihood that a customer will discontinue service;
• and
• output, to a user interface, the one or more churn predictions and one or more confidence scores associated with the one or more churn predictions;
• output, to the user interface and based on at least the one or more churn predictions, one or more retention strategy recommendations.

A system comprising:

• one or more processors configured to:
• receive, from one or more sources, network telemetry data indicative of network performance metrics, and customer interaction data indicative of one or more of customer engagement or customer sentiment;
• generate, using a correlation model and based on at least the network telemetry data and the customer interaction data, labeled data indicative of network performance and customer sentiment correlations;
• determine, using the labeled data and one or more time-series regression models, one or more churn predictions indicative of a likelihood that a customer will discontinue service;
• and
• output, to a user interface, the one or more churn predictions and one or more confidence scores associated with the one or more churn predictions;
• output, to the user interface and based on at least the one or more churn predictions, one or more retention strategy recommendations.