Where It Breaks Down
What's actually costing hotels & restaurants businesses
Not generic industry filler — the specific operational friction points that show up again and again in this line of work.
The property depends on OTAs (Booking.com, MakeMyTrip, Zomato/Swiggy) for most revenue, paying commission on guests who would happily have booked direct if the website made it easy.
Enquiries arrive around the clock — WhatsApp, Instagram DMs, phone — but responses only happen when the front desk is free, so evening and late-night leads (often the highest-intent ones) go cold.
The same twenty questions (check-in time, parking, veg options, banquet capacity, cancellation policy) consume hours of staff time daily across phone and chat.
Guest data from past stays and orders sits unused — no birthday offers, no repeat-visit nudges, no win-back of guests who stopped coming.
Event and banquet enquiries (the highest-ticket revenue) are handled in an email thread that goes quiet the moment a competitor replies faster with a proper proposal.
Where AI Actually Helps
Four ways AI fits into a hotels & restaurants workflow
Applied use cases, scoped to what's realistic today — not speculative AI features.
A booking-first website with an AI concierge that answers the twenty routine questions instantly, 24/7, in the guest’s language — and hands off to staff only for genuine exceptions.
Instant AI-drafted responses to banquet and event enquiries (menu options, capacity, indicative pricing) for manager review, so the property responds in minutes while the enquiry is still hot.
WhatsApp-based booking confirmation, pre-arrival upsell (early check-in, airport pickup, room upgrade), and post-stay review requests — automated, but written to sound like the property.
Menu and rate intelligence: AI-assisted seasonal menu descriptions and rate-parity monitoring against OTA listings.
Automation Ideas
Work that shouldn't need a human every time
Smaller, targeted automations that remove repetitive coordination work without replacing judgment calls.
Abandoned-booking recovery: a guest who started but didn’t finish a direct booking gets a WhatsApp nudge with a hold on the room.
Repeat-guest win-back campaigns triggered by time-since-last-visit, segmented by spend history.
Review-response drafting for Google and TripAdvisor, escalating negative reviews to management before any reply goes out.
What We'd Actually Build With
Tech choices, with reasoning
No stack for the sake of a stack — every choice below is tied to a specific requirement of this industry.
Next.js
Direct bookings start with a property site that loads instantly on hotel-lobby-grade mobile connections and ranks for "hotel near X" searches the OTAs currently own.
Booking engine / channel manager integration
Direct booking only works with live availability and rate sync — a "check availability" contact form is where direct revenue goes to die.
WhatsApp Business API
Indian hospitality guests live on WhatsApp; confirmations, upsells, and concierge chat belong in the channel guests already use.
LLM with property-specific retrieval (RAG over policies, menus, rates)
A concierge that invents a cancellation policy is worse than none — answers must come from the property’s actual documents.
Postgres
Guest history, stay records, and campaign data are relational; segmentation queries (spend, recency, party size) need real joins.
What a Modern Site Needs
What a modern hotels & restaurants site typically requires
We haven't built a public case study in this industry yet — so rather than fabricate one, here's what the underlying requirements typically look like.
A hotels & restaurants site that actually converts generally needs: fast, individually indexable pages for SEO; a clear, structured intake or contact flow that qualifies the visitor before a human gets involved; automated follow-up so no lead goes cold from inaction; and content that establishes specific expertise rather than generic service claims. That's the baseline we'd design toward — described here generically, since we don't yet have a completed hotels & restaurants project to show as a screenshot or live link.
Expected ROI — Read This First
OTA commission percentages are published channel economics; response-time and direct-booking uplift figures are illustrative estimates from hospitality industry research — not a guarantee, and not based on our own client results, since House of Mohny has not yet delivered a hospitality engagement.