Three AI agents, three jobs a restaurant understands.
Qodeup AI agents help restaurants keep menus updated, make browsing more useful and suggest relevant basket additions, following goals and rules set by the venue or group.
The problem it solves
Large menus, different preferences and changing availability make it difficult to offer the right choice without adding more work for staff.
What changes with Qodeup
The agents handle repetitive tasks, use permitted visit context and propose concrete actions the restaurant can control.
Why Qodeup
AI works inside Qodeup menus, ordering and data: it is not a separate chat, but an assistant connected to the moment a guest chooses.
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 already chosen.
How it works
Automation with an explicit boundary.
Define
The group sets objectives, rules, priorities and intervention levels.
Observe
The system reads permitted session signals and menu context.
Measure
Actions are compared against outcomes and controls defined by the restaurant.
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
The value is not AI. It is the control it gives back.
Governance configurable by group, brand or venue.
Suggestions aligned with availability and commercial rules.
Operational priorities without losing oversight.
Measurement designed around transparent, verifiable criteria.
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 your goals and the control required across every venue.
Book a demo