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.
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