Italian restaurant in Pattaya
Imported ingredient costs move, but the menu page still pushes low-margin dishes.
The workflow flags margin pressure and suggests where to feature profitable specials instead.
AI Workflows
Menu
AI menu engineering for restaurants
Margin-killer dishes flagged. Stars pushed. Page laid out from real data, not gut feel.
Once your menu is structured and connected to your POS, AI reads what customers click, scroll past, and order — and tells you where to push, edit, or cut.
Best fit
Built for the small businesses where this task repeats.
This is not a generic chatbot. It is a narrow workflow around work your team already does every week.
Restaurants
Cafes
Hotel restaurants
Bars with food menus
Multi-location F&B operators
Use cases
Where this shows up in a Thailand business.
Cafe in Bangkok
Customers click desserts but order coffee combos at higher value.
The menu layout shifts attention toward bundles the owner approves.
Beach restaurant in Phuket
Seasonal seafood specials sell well for tourists but need weekly price checks.
Monday alerts name the dishes to review before the busy weekend.
Manual today
The work still depends on memory.
Owners review menu performance from memory, POS exports, and supplier invoices when there is time.
With the workflow
The draft or signal is ready first.
The system connects sales, margin, and menu-page behavior into one weekly set of recommendations for approval.
How it works
Simple enough for a busy owner to keep using.
The workflow is designed around approval, not blind automation. AI prepares the work; your team keeps control.
Step 1
Connect your POS or order export so the workflow sees what actually sells.
Step 2
Watch food-cost trends weekly and flag dishes whose margin has crept above target.
Step 3
Track click and scroll behavior on the menu page to surface what customers actually look at.
Step 4
Suggest a fresh menu page layout each week — push the stars, bury the underperformers.
Included
- Weekly margin alert with specific dishes named, not a generic dashboard
- Click and scroll data on the menu page, owned by you, not a third-party tool
- Suggested page layout you approve, not auto-applied
Owner concerns
Our chef already knows what sells.
This does not replace judgement. It catches cost drift and customer behavior that is easy to miss during service.
Our POS setup is simple.
A weekly export is enough to start. The workflow can grow later if the restaurant needs deeper integration.
Questions
Plain answers before we build.
Does it change prices automatically?
No. The workflow drafts suggestions every Monday. You approve every change before it goes live.
Do I need a fancy POS?
Anything that exports order data works. We have connected Square, Loyverse, FoodStory, and a few Excel-export setups.
What about specials and seasonal dishes?
Specials get flagged separately so they are not mistaken for poor performers. Seasonal context is part of the weekly review.
Next step
Start with one workflow. Grow into a system when it earns the weight.
If this starts touching inventory, staff, dashboards, customer history, or several locations, move into a custom AI system.
Reviews
Review Replies
Drafted in 30 seconds. Approved in 5. Posted without staring at a blank box.
See workflow →Social
Social Drafts
One useful weekly batch: drafted, queued, approved, then published.
See workflow →QR Kit
QR Menus
A mobile page customers can scan, read, and use without downloading anything.
See workflow →