AI for Restaurants & F&B is a course in using AI for restaurant work, from menus and food content to food photos, promotions, orders and table bookings, review replies, sales and best-seller analysis, chatbots and automation. It suits restaurant and café owners, store managers, marketing and page admin teams, and multi-branch or franchise operators.
Restaurants and F&B are a highly competitive business that must communicate with customers constantly: creating menus and food content, shooting and enhancing food photos, running promotions and campaigns, taking orders and table reservations, replying to reviews, and caring for regular customers and back-of-house work. These tasks are high in volume and must be done consistently, especially for multi-branch shops or many sales channels. Generative AI helps restaurant teams work faster, create more content and images, and free up time to focus on taste and memorable service. This course is designed to help restaurant and F&B teams use AI
in real work confidently and systematically, covering the whole process, from menus and content, creating food images and promotional media, customer service and taking orders, review management and sales analysis, setting up a store assistant and knowledge base, to automation with n8n, plus practices for menu-data accuracy and protecting customer data under PDPA. All content is taught through workshops on real restaurant tasks, finishing with a capstone project where learners set up an end-to-end AI toolkit for their own store. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)
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.
Section 1: AI in Restaurant and F&B Work
Section 2: Prompts and Store Brand Tone
Section 3: Menus and Food Content
Section 4: Food Images and Promotional Media
Section 5: Customer Service and Taking Orders
Section 6: Review Management and Customer CRM
Section 7: Chatbots and Store Assistants
Section 8: Sales and Menu Analysis
Section 9: Store Automation with n8n
Section 10: Customer Data, Accuracy and PDPA
Section 11: Capstone Project and Real-world Adoption
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
Give the AI the real facts about the dish, such as main ingredients, cooking method, signature flavours, portion and the story behind the recipe, and set your brand tone and the length you need. Ask for words that convey taste, aroma and texture, such as crisp outside and tender inside, without claiming anything untrue. Check allergens and spice levels carefully, then adapt the text for the printed menu, delivery apps and social media.
Export your sales data from the POS or delivery apps as a spreadsheet and remove customers' personal details. Ask AI to rank dishes by quantity sold and sales value, broken down by time of day, day of the week and channel, and to point out dishes that consistently sell poorly. Have it show the figures it used so you can check them against the POS report, then use the results to adjust the menu, ingredient prep or marketing campaigns.
AI can adjust lighting, colour and sharpness, replace the backdrop or improve the composition, but the food itself should match the dish customers actually receive in portion, ingredients and appearance. Do not add toppings or enlarge portions beyond reality, as this disappoints customers and leads to poor reviews. This course practises creating and enhancing food images and adapting copy for each platform without overstating.
It suits restaurant, café and F&B owners, store managers and front-of-house teams, marketing staff and page admins, and operators running several branches or franchises. No AI or programming knowledge is needed. You should be able to use a computer, smartphone and the internet, have used social media or other marketing channels for your restaurant, and understand how your own outlet runs.
You will be able to write menus, dish descriptions and social content with AI, create and enhance food photos and marketing materials, use AI for orders, table bookings and review replies, analyse sales and best-selling dishes, build a restaurant chatbot in Custom GPT or Gems, and automate order alerts and review requests with n8n. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your restaurant or group, with examples adapted to your team's work, such as writing descriptions and analysing sales for your own menu. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
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