AI-900 Question 259
Select 3A retail company wants to enhance customer engagement and improve their marketing strategies using generative AI. Which of the following are appropriate use cases for generative AI in this context?
- A
Generating personalized product recommendations for customers based on their shopping history
- B
Creating a chatbot to provide real-time customer service and answer queries
- C
Developing a system to automate inventory restocking based on sales trends
- D
Designing customized email marketing campaigns with tailored content for different customer segments
- E
Predicting future market trends by analyzing historical sales data
Show answer and explanation
Correct answers: A, B, D
Explanation
Generative AI is often used to create personalized and engaging content, such as product recommendations, chat responses, and customized marketing materials. It is not typically applied to tasks like inventory restocking or market trend predictions, which are more aligned with other AI techniques like predictive analytics or optimization algorithms.
- A. Correct.
Generating personalized product recommendations is a common generative AI scenario as it involves creating tailored outputs (like recommendations) to enhance customer engagement.
- B. Correct.
Creating a chatbot to provide real-time customer service is a valid use case for generative AI, as it involves natural language processing and generating human-like responses.
- C. Incorrect.
Automating inventory restocking is more aligned with operational automation and predictive analytics rather than generative AI, which focuses on creative and content generation tasks.
- D. Correct.
Designing customized email marketing campaigns is a typical generative AI application, as it involves creating personalized content to improve marketing effectiveness.
- E. Incorrect.
Predicting future market trends involves predictive analytics and machine learning but does not fall under the generative AI category, which focuses on content generation rather than forecasting.