NCA-GENL Question 78
Select 3A retail company is using a large language model (LLM) to analyze customer reviews and provide decision-making support to improve product offerings. Which of the following approaches best supports this use case?
- A
Using sentiment analysis on customer reviews to identify overall product perception.
- B
Generating synthetic customer reviews to simulate potential feedback for new products.
- C
Summarizing customer reviews to identify common themes and suggestions.
- D
Predicting future sales trends based on customer review sentiment and historical data.
- E
Deploying the LLM to automatically respond to all customer reviews with generic replies.
Show answer and explanation
Correct answers: A, C, D
Explanation
The correct answers focus on leveraging LLMs for extracting insights and making predictions that directly support decision-making, such as understanding customer sentiment, summarizing feedback, and predicting trends. These approaches enable the company to improve product offerings and align with customer needs.
- A. Correct.
Using sentiment analysis is a key application of LLMs to understand customer sentiment, which helps in identifying the overall perception of a product and aids decision-making.
- B. Incorrect.
Generating synthetic customer reviews is not directly useful for decision-making in this context, as it does not provide insights into actual customer feedback.
- C. Correct.
Summarizing reviews to extract themes and suggestions directly supports decision-making by providing actionable insights from large volumes of unstructured data.
- D. Correct.
Predicting future sales trends by correlating customer sentiment with historical data is a valuable decision-making application that combines LLM capabilities with data analytics.
- E. Incorrect.
Automatically responding to customer reviews with generic replies does not contribute to decision-making and instead focuses on customer engagement.