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
- Follow-up communication to create delight and repeat customers (on masked data)
- Workshop: prepare a review-reply and customer-care message set with AI
Section 7: Chatbots and Spa Assistants
- Building a Custom GPT or Gem as an assistant answering questions on courses, prices, appointments and terms
- Embedding course 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 spa 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: Spa Automation with n8n
- Setting up automation with n8n, such as appointment reminders, customer follow-up and post-service review requests
- Sending care messages to repeat customers and connecting data across channels with access control
- Workshop: design one simple automation flow for the spa
Section 10: Customer Data, Communication and PDPA
- A spa communication frame: no over-claiming and no medical or treatment advice
- Customer and health 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 spa work, from content and images to booking, customer service, 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