Hotel Review Responder

Jaipur's hotel industry depends on online reviews. A 0.3-star improvement on Google Maps can increase bookings by 15-20%. But responding to every review — professionally, in the hotel's voice, addressing specific complaints — takes real time.

Most hotel managers either ignore reviews (terrible for reputation), copy-paste generic replies (guests notice), or spend 45 minutes per day writing responses. Heritage hotels with character need responses that match their brand — not corporate templates.

An AI tool that reads guest reviews across platforms and drafts personalised responses in the hotel's established tone.

• Multi-platform ingestion — pulls reviews from Google, TripAdvisor, Booking.com, and MakeMyTrip via APIs and scraping
• Sentiment analysis — classifies reviews as positive, mixed, or negative, and identifies specific issues (cleanliness, food, staff, location)
• Brand voice training — learns each hotel's tone from their existing responses (formal heritage vs. friendly boutique vs. luxury chain)
• Human-in-the-loop — drafts go to the manager for approval before posting, with one-click publish