Which use case works for Universal Containers' sales operation efficiency improvement by analyzing data using AI-powered predictions in Einstein Studio: A. Predict customer sentime... Which use case works for Universal Containers' sales operation efficiency improvement by analyzing data using AI-powered predictions in Einstein Studio: 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.

Understand the Problem

The question is asking which of the given options is the most suitable use case for improving sales operation efficiency through the use of AI-powered predictions in Einstein Studio, specifically for Universal Containers.

Answer

Predict customer lifetime value of an account.

The final answer is Predict customer lifetime value of an account.

Answer for screen readers

The final answer is Predict customer lifetime value of an account.

More Information

Predicting customer lifetime value is a strategic use case for sales operations efficiency as it helps identify and focus on high-value accounts, enhancing decision-making and prioritization.

Tips

Avoid selecting options related to sentiment and product popularity as these do not directly enhance sales operations efficiency using data-driven AI predictions.

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