An overnight menu agent for takeaway restaurants
Agents that tune menus overnight from demand and reviews, with owners keeping control.
A takeaway ordering network of 4,300+ restaurantsProblem statement
What the client was up against
Thousands of independent restaurant owners have no time to study demand, trends or reviews. Menus stay the same while customer tastes and prices move.
Our approach
How we approached it
- Built a shared dish taxonomy across the network
- Tracked demand signals, reputation and menu trends
- Let owners set policies the agents must follow
- Tested changes in a scenario lab first
Solution we created
What we built
An Autopilot, a multi-agent agent fleet that suggests and applies menu changes overnight within each owner's rules, with a policy studio, playbook library and results reporting.
Agents in the system
The multi agent team behind it
SourcesClient API, ordering data, review sources
Menu agentSuggests dishes, prices and descriptions
Demand agentReads ordering patterns
Reputation agentLearns from reviews
Policy guardKeeps every change inside the owner's rules
People decideReview, approve and act
Menu agentSuggests dishes, prices and descriptions
Demand agentReads ordering patterns
Reputation agentLearns from reviews
Policy guardKeeps every change inside the owner's rules
Client APIordering datareview sources
What it was built to change
The outcome it is designed for
Better menus and pricing for every restaurant without extra work for owners.
This is a prototype without published results yet. We show the problem and the build, not numbers we have not measured.
Client names, detailed case studies, demos and references can be shared on request.
Looking for a similar solution?
Tell us your version of this problem. We will walk you through what we built and what a first pilot would look like for you.
