Food and beverage
Review insights for restaurants
AI agents read a food and beverage business's customer reviews across platforms, sort them by sentiment and topic and suggest what to improve. The manager decides which suggestions to act on.
Your data stays where you choose: on your own servers, in your own cloud account, or with a contracted model provider. We confirm which in writing.
How the work moves
A request arrives
Reading agent
Checking agent
Drafting agent
A person approves
Done, and logged
The AI agents
Reading agent
Reads reviews from review sites, social media and delivery apps in one place.
Checking agent
Checks each review's sentiment and topic and tags it.
Drafting agent
Drafts service recommendations for the manager to review.
Where a person approves
The manager decides which recommendations to act on.
What changes
- Reviews from several platforms are read in one place.
- Every review is tagged by sentiment and topic.
- Recommendations point back to what customers actually wrote.
Map one process with us.
We start with one piece of work in your organization, mapped with your team, before any agent exists.
Talk to usYou decide. We answer for it.
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