AI for bookings, pricing, and multilingual hospitality.

Booking copilots that don't lose context across 12 languages, dynamic-pricing models tuned to Indian seasonality, and ops automation for OTAs and hotels.

Indian travel is multilingual, price-sensitive, and seasonally chaotic. We build AI that makes the booking funnel saner — voice-AI concierge, copilots for ops staff, and pricing models that don't go off the rails on long weekends.

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The numbers

travel clients

languages on concierge

≤2%

pricing-model MAPE

24/7

voice + chat coverage

Clients

Domestic OTAHotel chain

⌖ The reality on the ground

Where it's breaking.

Multilingual booking funnel

Customers DM in Hindi, search in English, pay in regional UPI handles. Funnel can't break on language.

Pricing in chaos

Long weekends, festivals, weather, school vacations. Generic dynamic-pricing models miss the India-specific seasonality.

Ops-staff overload

Front desk, reservations, F&B — multilingual customers + manual systems = burnt-out staff and lost revenue.

Loyalty + repeat-stay AI

Most operators have a CRM. Few have a real model of repeat-stay propensity or upsell-readiness.

▣ What we ship

Solutions tuned for travel & hospitality.

Multilingual concierge AI

Voice + chat across 12 Indian languages, integrated with PMS / GDS / CRS. Booking, modification, and pre-arrival upsell.

Dynamic-pricing models

Demand forecasting tuned on Indian holiday calendars, weather, and competitor prices. MAPE under 2% on hotel revenues.

Ops copilots

Front-desk copilots for reservation modifications, F&B order processing, housekeeping triage. Multilingual, voice-driven.

Loyalty / repeat-stay AI

Repeat-stay propensity scoring, upsell-readiness, churn risk. Wired into your CRM and lifecycle messaging.

◇ In the field

Selected case studies.

Domestic OTA

languages on booking line

Multilingual concierge AI

Voice + chat concierge across 12 languages, integrated with custom PMS. 47% of bookings completed without human handoff.

Boutique hotel chain

1.6×

RevPAR vs rule-based pricing

Dynamic-pricing model rollout

ML-based dynamic pricing tuned on Indian holiday calendars + competitor prices. 1.6× RevPAR vs static rule-based pricing.

▢ Compliance + posture

Built for the regulators.

DPDP Act 2023 alignment
PCI-DSS-aware payment plumbing
ISO 27001 / SOC 2 Type II ready
Multi-region data residency for international guests

？ FAQ

Common questions.

Can the concierge handle voice in regional languages?

Yes — we use Indic ASR + TTS pipelines with native-voice synthesis. 12 Indian languages live, English + 4 GCC languages on request.

How does the pricing model handle long-tail events?

Calendar features (holidays, festivals, school vacations), event features (concerts, sports), and weather features feed into the model. We retrain monthly with drift checks.