---
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title: Artificial Intelligence Use Cases for Communications
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version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ind/264-0-0/comms_artificial_intelligence_use_cases.md
canonical_url: https://help.salesforce.com/s/articleView?id=ind.comms_artificial_intelligence_use_cases.htm&release=264.0.0&type=5
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description: Get real-time predictions about subscribers who are likely to churn and provide intelligent visual insights that your agents can use to minimize churn. Predict in-progress orders that are at risk of delay and prevent delays in order fulfillment. Predict the due dates of prospective order line items related to individual quote line items during quote creation and increase customer satisfaction.
products:
  - Communications
release: "264"
---
# Artificial Intelligence Use Cases for Communications

Get real-time predictions about subscribers who are likely to churn and provide intelligent visual insights that your agents can use to minimize churn. Predict in-progress orders that are at risk of delay and prevent delays in order fulfillment. Predict the due dates of prospective order line items related to individual quote line items during quote creation and increase customer satisfaction.

- **[Churn Predictions for Communications with Einstein Discovery](https://help.salesforce.com/s/articleView?id=ind.comms_churn_predictions_for_communications_with_einstein_discovery.htm&release=264.0.0&type=5)**  
    Use real-time predictions to provide intelligent visual insights that your agents can use to minimize subscriber churn. You can calculate predicted churn scores by using only the customer subscription data or by using Feedback Management and Sentiment Insights data.
- **[Order Delay Predictions with Einstein Discovery for Communications](https://help.salesforce.com/s/articleView?id=ind.comms_order_delay_predictions_with_einstein_discovery_for_communications.htm&release=264.0.0&type=5)**  
    Fulfillment managers can prevent delays in order fulfillment by using predictions from an Einstein Discovery model to identify in-progress orders that are at risk of delay. They can then determine and fix any issues delaying the upcoming tasks and expedite the order delivery. The probability of delay is updated as the order progresses through the orchestration plan.
- **[Due Date Predictions for Prospective Orders with Einstein Discovery](https://help.salesforce.com/s/articleView?id=ind.comms_due_date_predictions_for_prospective_orders_with_einstein_discovery.htm&release=264.0.0&type=5)**  
    Increase customer satisfaction and ensure a timely service by predicting the due dates of prospective order line items related to individual quote line items during quote creation. Sales managers and customer service agents can efficiently manage orders and answer customer queries about due dates based on the predictions.