AI-900 Question 260
Select 3A company wants to use generative AI to improve customer engagement on their e-commerce platform. Which of the following are common scenarios where generative AI can be effectively implemented?
- A
Generating personalized product descriptions for new inventory
- B
Predicting future sales trends based on historical data
- C
Creating automated responses for customer inquiries in a conversational chatbot
- D
Generating promotional videos for marketing campaigns
- E
Analyzing customer purchase history to recommend products
Show answer and explanation
Correct answers: A, C, D
Explanation
Generative AI is best suited for creating new content, whether it be text, images, videos, or conversational responses. In this case, generating product descriptions, chatbot responses, and promotional videos are examples where generative AI can provide significant value. Tasks like predicting trends or recommending products rely on other AI techniques such as predictive analytics or recommendation systems.
- A. Correct.
Correct: Generative AI can create unique and personalized product descriptions, which can enhance customer engagement and product appeal.
- B. Incorrect.
Incorrect: Predicting future sales trends typically involves predictive analytics or machine learning, not generative AI, which focuses on creating new content.
- C. Correct.
Correct: Generative AI can power conversational chatbots by generating context-aware and natural responses for customer inquiries.
- D. Correct.
Correct: Generative AI can be used to create promotional videos by generating relevant text, images, and video content for marketing purposes.
- E. Incorrect.
Incorrect: Recommending products based on purchase history relies on recommendation systems, which are typically powered by machine learning algorithms, not generative AI.