Building an AI Chatbot for Customer Service:
https://youtu.be/hjbVmXTQltQ?si=TFYqVLFUHaFTFLxB

Understand User Intent: Identify common customer queries and define the chatbot’s purpose. This ensures the chatbot can recognize and respond to different types of inquiries.

Design Conversational Flows: Create a flowchart to guide the chatbot’s development, covering greetings, inquiries, and problem resolution.

Select Tools and Frameworks: Use NLP tools and machine learning algorithms like TensorFlow or Dialogflow to enable the chatbot to understand natural language.

Integrate with Existing Systems: Ensure the chatbot connects with your customer service platforms to provide accurate and timely responses.

Continuous Improvement: Regularly update the chatbot with new data to improve its accuracy and relevance.

Learn About Customer AI:
https://experienceleague.adobe.com/zh-hant/docs/experience-platform/intelligent-services/customer-ai/overview

https://www.sciencedirect.com/science/article/pii/S0378720621000082#fig0020

Adobe Customer AI: Leverages machine learning to analyze data, predict behaviors, and enhance customer interactions.
Research Insights: Explore studies to understand how AI improves customer service and satisfaction through better predictions and personalization.