Hotels and tourism · Sample scenario
Operational summary of guest reviews
Permitted review data is sorted into topics and grouped by department, recurring issues become tasks, and a short summary is prepared for management.
Problem
Recurring issues in reviews (noise, cleanliness, late check-in) do not reach departments, and the same complaint repeats many times a month.
How it works today
When they find time, the manager reads review platforms and copies interesting ones into Excel; departments only hear about issues after a serious complaint.
What this scenario changes
Reviews are exported from permitted sources, personal data is masked, and AI sorts each review into topics. Reviews are grouped by department, tasks are created for recurring issues, and a weekly summary is prepared for management. Safety issues and serious complaints are escalated separately.
The process step by step
- Weekly review export: Reviews collected from permitted sources
- Permission and privacy: Source permission checked, names masked
- Topic classification: Each review sorted by topic and severity
- No serious complaint?: Checked for signs of safety risk or injury
- Department tasks: Recurring issues grouped and turned into tasks
- Summary for management: Main topics and open tasks on one page
- Summary sent: Email to management, tasks in departments
Exception path
- Quality manager reviews immediately: Escalated separately, not waiting for the summary
- Escalation record: Case tracked separately
The role of AI
Sorts each review into topics (cleanliness, noise, staff, dining), merges recurring issues and writes a short summary for management.
Human approval and exceptions
A review mentioning safety, injury or a serious complaint does not wait for the weekly summary; it goes straight to the quality manager.
Frequently asked questions
Which reviews are analyzed?
Only reviews from permitted sources or platforms with an official export option; the source list is agreed in advance.
Do guest names appear in the summary?
No. Personal data such as names and room numbers is masked before analysis.
Does AI reply to reviews?
This scenario covers only internal analysis and tasks; public replies are prepared in a separate process with staff approval.