Section 6: Review Management and Guest CRM
- Using AI to summarize and analyze guest reviews and feedback (sentiment)
- Drafting professional, guest-winning review replies for both positive and negative reviews
- Caring for guests and follow-up communication to create memorable experiences (on masked data)
- Workshop: prepare a review-reply and guest-care message set with AI
Section 7: Chatbots and Hotel Assistants
- Building a Custom GPT or Gem as an assistant answering guest questions on rooms, services and travel
- Embedding hotel 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 hotel assistant to answer common questions
Section 8: Documents and Hotel Administration
- Using AI to help with documents, forms and hotel admin work
- Summarizing meetings and preparing basic operations reports
- Managing data and documents systematically, being careful with sensitive data
Section 9: Hotel Automation with n8n
- Setting up hotel automation with n8n, such as booking confirmations and pre-arrival messages
- Requesting post-stay reviews and following up with guests systematically
- Connecting data across channels for a complete guest view, with access control
- Workshop: design one simple automation flow for the hotel
Section 10: Guest Data, Security and PDPA
- Controlling the accuracy of room data, prices and terms before publishing
- Guest data to be careful with: what can and cannot go into AI, and masking data before use
- Guest 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 hotel work, from marketing and content and guest service to a hotel assistant and review management
- 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 hotel team