Section 6: Customer Care and Review Replies
- Using AI to summarize and analyze customer reviews and feedback (sentiment)
- Drafting professional, customer-winning review replies for both positive and negative reviews
- Caring for customers and follow-up communication to create memorable experiences (on masked data)
- Workshop: prepare a review-reply and customer-care message set with AI
Section 7: Chatbots and Tour Assistants
- Building a Custom GPT or Gem as an assistant answering customer questions on programs, prices and travel
- Embedding tour data and FAQ for consistent, on-brand results
- Connecting the assistant to LINE OA and handing off to the team when needed
- Workshop: build one tour assistant to answer common questions
Section 8: Documents and Administration
- Using AI to help with documents, quotes and coordination
- Summarizing meetings and preparing basic operations reports
- Managing data and documents systematically, being careful with sensitive data
Section 9: Tour Automation with n8n
- Setting up automation with n8n, such as lead care and automated customer follow-up
- Sending pre-trip information, requesting post-trip reviews and connecting data across channels with access control
- Workshop: design one simple automation flow for the tour company
Section 10: Customer Data, Accuracy and PDPA
- Controlling the accuracy of tour, price and terms data before publishing
- Customer and travel data to be careful with: what can and cannot go into AI
- Customer personal data under PDPA and setting the team's AI usage guideline
Section 11: Capstone Project and Real-world Adoption
- Task: set up an end-to-end AI toolkit for the learner's tour work, from programs and content and marketing media and customer service to an assistant and customer care
- Present the work and get feedback from the instructor and peers
- A first-30-days adoption plan and setting up AI use for the whole team