Course Details
A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. Learners take home a restaurant prompt library, a store assistant (Custom GPT/Gem), menu and content templates, and a data-accuracy and PDPA checklist.
Day 1: AI for Menus, Content, Images and Customer Service
Section 1: AI in Restaurant and F&B Work
- An overview of generative AI in restaurant and F&B work and what changes in the process
- AI use cases: menus, content, images, customer service, orders, reviews and analysis
- Choosing the right AI tool for each task
- AI limits and verifying menu and price data for accuracy
Section 2: Prompts and Store Brand Tone
- A good prompt structure for restaurant work: role, cuisine type, customer group and output format
- Setting a consistent store brand tone and voice
- Using examples to keep content and communication style consistent
- Building a store prompt library for recurring work
Section 3: Menus and Food Content
- Using AI to write menu details, dish highlights and appetizing descriptions
- Writing content, captions and post plans for social media and delivery
- Tailoring messages to each platform without over-communicating
- Workshop: write a menu and marketing content set for the store with AI
Section 4: Food Images and Promotional Media
- Using AI and Canva to create and enhance professional food images, ad creatives and media
- Approaches to making food images appetizing and truthful, without misleading customers
- Preparing images and banners for new menus, festive periods and campaigns
- Workshop: design one food image or promotional media piece with AI and Canva
Section 5: Customer Service and Taking Orders
- Using AI to help answer customer chats and give appropriate menu and promotion information
- Helping take orders, reserve tables and answer delivery questions
- Preparing standard answer sets and FAQ for store admins
- Workshop: prepare a store service message set and FAQ with AI
Day 2: Reviews, Assistants, Analysis and Automation
Section 6: Review Management and Customer CRM
- 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 regular customers and running a loyalty program (on masked data)
- Workshop: prepare a review-reply and customer-care message set with AI
Section 7: Chatbots and Store Assistants
- Building a Custom GPT or Gem as an assistant answering customer questions on menu, promotions and reservations
- Embedding menu 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 store assistant to answer common questions
Section 8: Sales and Menu Analysis
- Using AI to analyze sales data and summarize best-sellers and periods worth promoting
- Finding insights to adjust the menu, prices and promotions
- Preparing summary reports to improve the store and marketing
Section 9: Store Automation with n8n
- Setting up store automation with n8n, such as order alerts and reservation confirmations
- Requesting post-service reviews and following up with customers systematically
- Connecting data across sales channels for a complete store view, with access control
- Workshop: design one simple automation flow for the store
Section 10: Customer Data, Accuracy and PDPA
- Controlling the accuracy of menu data, prices, ingredients and allergen information before publishing
- Customer and order 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 store, from menus and content and food images and customer service to a store assistant and analysis
- 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 store team