Google Professional Machine Learning Engineer
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
Your financial institution is implementing a Dialogflow chatbot for its mobile app to enhance customer service. After a thorough analysis of historical chat logs, it's observed that 70% of customer inquiries are straightforward and can be resolved using just 10 predefined intents. The remaining 30% involve complex queries requiring detailed attention. Given the constraints of limited development resources and the need to maximize both efficiency and customer satisfaction, which strategy should you adopt for automating intents? Choose the best option.
A
Automate a balanced selection of both simple and complex intents to ensure comprehensive coverage of customer inquiries, despite the potential for increased initial development time and complexity.
B
Prioritize automating the complex intents first, as they are more time-consuming for live agents and automating them could significantly reduce operational costs.
C
Focus on automating the 10 intents that handle 70% of the inquiries, enabling live agents to dedicate more time to resolving the more complex 30% of inquiries.
D
Automate intents based on the frequency of specific keywords like 'account' or 'transaction', regardless of the complexity or simplicity of the intent, to streamline the chatbot's response mechanism.