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Question 45 - Certified AI Specialist discussion

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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.
Answers
A.
Predict customer sentiment toward a promotion message.
B.
Predict customer lifetime value of an account.
Answers
B.
Predict customer lifetime value of an account.
C.
Predict most popular products from new product catalog.
Answers
C.
Predict most popular products from new product catalog.
Suggested 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.

Salesforce Einstein Studio Use Case Overview: https://help.salesforce.com/s/articleView?id=sf.einstein_studio_overview

asked 26/09/2024
Shaunt Khalatian
38 questions
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