Which use case works for this scenario?

Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data

using Al-powered predictions in Einstein Studio.

Which use case works for this scenario?
A . Predict customer sentiment toward a promotion message.
B . Predict customer lifetime value of an account.
C . Predict most popular products from new product catalog.

Answer: B

Explanation:

For improving sales operations efficiency, Einstein Studio is ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predicting customer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions. Customer lifetime value (CLV) predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.

Option B is the correct choice as predicting customer lifetime value is a well-established use case for AI in sales.

Option A (customer sentiment) is typically handled through NLP models, while Option C (product popularity) is more of a marketing analysis use case.

Reference: Salesforce Einstein Studio Use Case Overview:

https://help.salesforce.com/s/articleView?id=sf.einstein_studio_overview