Restaurants and cafés · Sample scenario
Spotting service problems in reviews
Reviews from permitted sources are classified by topic, recurring problems become tasks for the responsible team, and a weekly summary is prepared.
Problem
Recurring complaints in reviews (delays, cold food, billing errors) are noticed late; management only feels the problem when the rating drops.
How it works today
The manager opens review platforms when there is time, and keeps notes in memory or in scattered files. Nobody counts how often each problem repeats.
What this scenario changes
Reviews are collected through permitted exports or APIs, personal data is minimized and AI assigns each review a topic. If the same topic repeats during the week, a task is opened for the responsible team and a weekly summary is prepared. A review with a food safety claim goes to the manager without waiting.
The process step by step
- Weekly review collection: Export from a permitted source
- Personal data minimized: Names and contact details are masked
- Classification by topic: Each review gets a category
- No serious claim?: Food safety flag is checked
- Recurring problems: Topics are counted for the week
- Task for the responsible team: One per recurring topic
- Weekly summary: Short text for management
- Summary sent: Emailed to management
Exception path
- Manager investigates right away: Same-day check and reply
- Incident logged: Separate record and follow-up
The role of AI
Sorts each review into topics (delay, temperature, service, bill, cleanliness), flags food safety claims and writes the weekly summary.
Human approval and exceptions
A review claiming food poisoning, a foreign object or a hygiene problem is not held as ordinary statistics; the manager investigates the same day and replies to the review personally.
Frequently asked questions
Which sources can reviews be collected from?
Only exports and APIs the platform permits, or the restaurant's own feedback forms; nothing is collected against the rules.
Does AI reply to reviews by itself?
Not in this scenario. The goal is to see problems and open tasks; replying can be set up as a separate process with approval.
Are customer names visible in the report?
No. Names and contact details are masked before classification; the report only keeps topics and counts.