NCA-AIIO Question 29
Select 3A retail company wants to enhance its customer experience and improve operational efficiency using AI. Which use cases are most relevant for this industry?
- A
Customer behavior prediction and personalized recommendations
- B
Predictive maintenance for factory equipment
- C
Fraud detection in point-of-sale transactions
- D
Chatbots for customer service and support
- E
Autonomous vehicle navigation for delivery logistics
Show answer and explanation
Correct answers: A, C, D
Explanation
Retail industries leverage AI for customer-focused applications like personalized recommendations and chatbots, as well as operational improvements like fraud detection. These use cases align with retail’s goals of enhancing customer experience and reducing losses, while manufacturing-specific tasks like predictive maintenance or niche logistics applications are less relevant.
- A. Correct.
Customer behavior prediction and personalized recommendations are crucial in retail to provide tailored shopping experiences and improve sales.
- B. Incorrect.
Predictive maintenance for factory equipment is more relevant to manufacturing and industrial operations, not typically a priority in the retail sector.
- C. Correct.
Fraud detection is a key use case in retail, particularly for identifying suspicious point-of-sale transactions and reducing financial losses.
- D. Correct.
Chatbots are widely adopted in retail to handle customer queries efficiently, reduce wait times, and improve customer satisfaction.
- E. Incorrect.
While autonomous vehicle navigation is an advanced logistics use case, it is less commonly implemented in retail compared to the other listed options.