XPndAI builds custom AI for India's hotels, resorts, serviced apartments, and hospitality chains. AI direct booking (reduce OTA commission by 15–30%), AI guest communication via WhatsApp (pre-arrival, in-stay, post-departure), AI revenue management (dynamic pricing, channel management), AI F&B operations, and AI housekeeping and maintenance. From boutique properties to large hotel chains. Fixed price. Source code ownership. No per-property SaaS fees.
OTA commissions (MakeMyTrip 15–18%, Booking.com 15–18%, Expedia 15–25%) are the single largest cost item for many Indian hotels. AI direct booking: AI WhatsApp booking assistant (when a guest WhatsApps to enquire — AI shows availability, room types, current rates, and secures a direct booking within the conversation — 0% commission); AI "book direct for better rate" campaign (retarget past OTA guests who are now in your CRM via WhatsApp — offer 10% better rate than OTA for direct booking); AI Google Business Message integration (enquiries from Google Search → AI booking assistant → direct booking); and AI abandoned booking recovery (guest started booking on your website but didn't complete — AI sends WhatsApp with a specific room hold and incentive). Integrates with Razorpay/PayU for payment and all major PMS via channel manager.
Guest communication touchpoints (confirmation, pre-arrival, check-in, in-stay requests, checkout, follow-up) are labour-intensive for front desk staff and often inconsistent in quality. AI guest communication: AI pre-arrival sequence (48 hours before check-in — upsell room upgrade, early check-in, airport transfer, restaurant reservation via WhatsApp); AI in-stay concierge (guest WhatsApps "can I get extra pillows" or "what's the WiFi password" — AI resolves or routes to appropriate department with SLA tracking); AI housekeeping communication (guest requests room service or do-not-disturb via WhatsApp — AI manages with housekeeping team); AI post-departure (thank you, feedback, Google Review request 2 hours after checkout — WhatsApp); and AI loyalty re-engagement (guests who haven't returned in 6 months get personalised anniversary/birthday offers). Multilingual — Hindi, English, Tamil, and other Indian languages.
India hotels typically under-price during peak demand and over-price during shoulder periods, leaving significant revenue on the table. AI revenue management: AI demand forecasting (predict occupancy 30/60/90 days ahead — incorporate local events, festivals, competitor pricing, historical patterns); AI dynamic rate recommendation (suggest optimal ADR by room type by date — balancing occupancy and RevPAR); AI competitive rate monitoring (daily competitor rate scraping from OTA sites — flag when you're under or over the market); AI channel management intelligence (which OTA is converting better this week — shift allocation to high-converting channels); and AI rate parity monitoring (detect rate parity violations — OTA showing rates lower than your direct rate). Integrates with SiteMinder, RateGain, and all major channel managers.
Hotel F&B operations (restaurant, bar, room service, banquet) are complex with high staff dependency. AI F&B operations: AI restaurant reservation management (WhatsApp booking for hotel restaurant with table assignment, reminder, and modification); AI in-room dining order via WhatsApp (guest orders from digital menu via WhatsApp — AI routes to kitchen with room number and timing); AI banquet and events enquiry handling (corporate event, wedding, birthday — AI captures requirements, sends menu/pricing options, qualifies, routes to events team); AI feedback and review (post-meal WhatsApp feedback with Google Review prompt for positive experiences); and AI F&B revenue optimisation (upsell desserts, beverages, packages during reservation confirmation).
Housekeeping and maintenance are the largest labour cost centres in a hotel. AI operations management: AI housekeeping scheduling and task management (room status updates via WhatsApp — housekeeper marks room clean with photo → AI validates, updates PMS, notifies front desk); AI maintenance request management (guest or staff reports issue via WhatsApp — AI creates maintenance ticket, assigns to technician, tracks resolution, notifies reporter on completion); AI preventive maintenance scheduling (AI tracks asset maintenance schedules — HVAC service, elevator, generators — sends reminders before due); AI material and mini-bar inventory management (WhatsApp-based consumption reporting — AI triggers reorder); and AI staff attendance and task performance tracking for housekeeping and maintenance teams.
Hotel owners and GMs need daily operational intelligence but often get it too late or not at all. AI hotel analytics: AI daily performance briefing (WhatsApp message to GM and owner every morning — yesterday's occupancy, ADR, RevPAR, F&B revenue vs budget vs same-date last year); AI real-time occupancy and revenue dashboard; AI review and reputation management (aggregate TripAdvisor, Google, Booking.com, MakeMyTrip reviews — sentiment analysis, response drafts for negative reviews, trend tracking); AI forecast reporting (30/60/90-day pickup report for revenue planning); and AI cost analysis (food cost %, labour cost %, department-wise expense vs budget). For hotel chains: multi-property performance comparison — identify best/worst performing properties and specific operational reasons.
The direct booking recovery depends on your current OTA mix and your ability to retarget past guests. A realistic model for a 100-room business hotel with ₹4,000 ADR and 70% average occupancy: (1) Annual OTA revenue: 70 rooms × 365 days × 60% OTA share × ₹4,000 = ₹6.1 crore OTA revenue; (2) At 18% commission: ₹1.1 crore in annual OTA commissions; (3) AI direct booking strategy: in year 1, a well-executed AI direct booking campaign can shift 15–25% of OTA bookings to direct — that's ₹90–1,50,000 per month in commission saved; (4) Cumulative: over 3 years, each percentage point of OTA share shifted to direct saves ₹18 lakh in commissions. The AI investment (₹3–6 lakhs one-time) pays back in 2–4 months from commission savings alone. Two additional levers: (a) AI upsell during direct booking (room upgrades, early check-in, transfers — direct bookers upsell at 2–3x OTA bookers since you control the conversation); (b) AI guest retention (past guests who book direct have 30–40% higher repeat booking rates than OTA guests — AI relationship management compounds over time).
XPndAI integrates with the common PMS systems used in India's hospitality sector: (1) IDS Next — the most widely used PMS in India's mid-market; full integration via IDS Next API and data exports; (2) Hotelogix — cloud PMS widely used in India's boutique and mid-scale segment; API integration; (3) Oracle OPERA — used by large international brands (Marriott, Hyatt, IHG) and large domestic chains; integration via OPERA OXI interface; (4) RMS Cloud — used by smaller Indian properties and resorts; (5) eZee Absolute and Frontdesk — widely used in independent hotels. The AI reads reservation data, room status, and guest profiles from PMS, and writes guest communication logs and service request status back to PMS where supported. If your PMS is not listed: we assess integration feasibility (most PMS have data export capabilities that allow read integration) during the scoping phase.
Tell us your property type (business/leisure/resort/chain), room count, current PMS, and biggest challenge (OTA commission, guest communication, operations, revenue). We'll design and demo in 48 hours.
XPndAI · AI for Hotels & Hospitality India · Direct Booking AI · Guest WhatsApp AI · Revenue Management · F&B · Operations · Fixed price from ₹1.5L · Source code ownership · +91-9625368140