AI agents for restaurants, on your terms.
Qodeup AI agents are tools for restaurants and groups that work across the digital menu and ordering journey: they help update content, make browsing more relevant and suggest basket additions under goals, rules and intervention levels set by the venue or group.
The problem it solves
When menus, availability and preferences change during service, staff cannot guide every guest without taking time away from the floor.
What changes with Qodeup
The agents support the digital journey: they prepare menu updates, use permitted session signals and suggest additions that fit what the guest is choosing.
Why Qodeup
The restaurant stays in charge: it defines goals, products, priorities, tone and actions that require approval by venue, brand or group.
Menu Agent
Starting from an instruction, it prepares updates to products, prices or descriptions. The restaurant decides what needs review before publication.
Session Agent
During a visit, it uses permitted browsing signals and menu context to make the choice more relevant.
Basket Agent
It suggests available additions that fit the order. Average-check target and intervention level remain configurable by the restaurant.
How it works
How Qodeup AI agents work.
1Define
The venue or group sets goals, priority products, commercial rules and actions that need approval.
2Support the choice
In the menu and basket, the agents use available session context to propose relevant content and additions.
3Measure
Actions are read alongside agreed metrics and comparisons to understand what to keep, revise or stop.
Qodeup AI agents
Qodeup AI agents, in plain language.
Each agent handles a specific job to reduce manual work and make the buying journey more useful.
Menu Agent: tell it what to change and it prepares products, prices or descriptions for review.
Session Agent: understands what a guest is looking for during the visit and makes the menu more useful.
Basket Agent: suggests sensible, available additions that fit what the guest has chosen.
The restaurant sets goals, rules and which actions require approval.
Inside the product
AI that works inside your service model.
Governance configurable by group, brand or venue.
Suggestions tied to restaurant-defined availability, products and commercial rules.
Operational priorities can be set without giving up oversight of sensitive actions.
Measurement is designed around transparent, verifiable criteria before activation.
FAQ
Frequently asked questions
Can AI agents change the menu without approval?
The governance model is configured by the restaurant. Sensitive changes can require review before publication.
Does the AI use personal data?
The data perimeter depends on the approved configuration and purposes. Privacy, legal basis and retention must be defined before activation.
How is the effect of suggestions measured?
The project can use operating metrics, period comparisons and controlled testing. The exact method is agreed with the group.
Next step
Define what AI should do—and what it should not.
Discuss the goals, rules and control required across every venue.