Overview
The property runs a Rishikesh yoga and wellness retreat, driving revenue through program enquiries, website leads, travel-agent enquiries with yoga programmes and retreat packages. Conversion is highly sensitive to response speed: a guest comparing options wants an immediate answer, not a callback the next day when they have booked elsewhere or via a commission-heavy OTA.
The front-office and reservations team could not answer every enquiry during peak periods and after hours, so a large share went cold or leaked to OTAs. Leadership estimated 41% of enquiries were never properly worked. They wanted an always-on layer that reached guests in their language, handled program enquiry and retreat booking, and wrote everything back to the booking engine.
The challenge
The pre-Kallix operation had several failure modes, and they compounded. Slow or missed responses dropped intent, language mismatch killed engagement, and manual data entry meant work fell off the radar.
- 41% of enquiries went cold. After-hours and peak-period enquiries via program enquiries, website leads, travel-agent enquiries sat unworked until staff were free, by which point guests had booked elsewhere or via an OTA.
- Hindi-first guests disengaged from default-language handling. Many guests preferred Hindi, and default-language calls lost them in the first seconds.
- Manual follow-up did not scale at peak. Festive, wedding and high-season volume overwhelmed the desk, so the highest-value enquiries got the least attention.
- Upsell and pre-arrival moments were missed. Room upgrades, experiences, spa and dining add-ons were rarely offered consistently, leaving high-margin revenue on the table.
- Enquiry data never reached the booking engine cleanly. Notes were scattered across channels, so the team could not see true direct-vs-OTA conversion or follow-up coverage.
The AI-powered solution
Kallix deployed an AI voice agent named Ira handling program enquiry and retreat booking across every channel in Hindi, English. The full build, from discovery to production cutover, took 11 working days.
Instant, always-on enquiry handling
Every enquiry across program enquiries, website leads, travel-agent enquiries is answered within seconds, day or night, in peak season and off-season alike.
Hindi, English switching
The agent meets each guest in their language and switches mid-conversation when they code-switch.
Purpose-built program enquiry and retreat booking flow
The agent runs a tailored script for program enquiry and retreat booking, qualifying, quoting and confirming in one call.
Consistent upsell at the right moment
Room upgrades, experiences and add-ons are offered at booking and pre-arrival, lifting average booking value.
Confirmation + reminder messaging
Every booking triggers a confirmation message with details, plus reminders that reduce no-shows and cancellations.
Real-time booking engine write-back
Every conversation writes intent, booking, language and recording link back to the booking engine in real time.
“During peak season we simply could not answer every enquiry, and too many guests slipped to OTAs. Now every enquiry gets an instant answer in Hindi, a quote and a confirmed booking, and our upsells climbed. We grew direct bookings without a bigger reservations team.”
Business impact
Leadership tracked the metrics below monthly against a 6-month pre-Kallix baseline. The agent went live on Mar 18, 2026. The numbers cover the first 90 days of production.
- Monthly bookings grew 2.7×. Answering every enquiry instantly in Hindi and English converted guests who previously slipped to competitors or OTAs.
- 41% of missed bookings recovered. After-hours and peak-season enquiries that used to go cold are now answered and converted directly.
- Upsells rose 32%. Consistent, well-timed upgrade and add-on offers lifted average booking value without a hard sell.
- Hindi-guest conversion improved. Guests preferring Hindi now complete bookings at a far higher rate.
- Direct-vs-OTA conversion finally visible. Every conversation is logged in the booking engine, so the team sees true direct conversion and OTA-leakage reduction.
Built on a secure, production-ready stack
The deployment runs on Indian infrastructure with DLT-registered sender IDs and TRAI-compliant scripts. Customer data stays within Indian data centres in line with DPDP expectations.
The Hospitality Booking Framework: How this deployment is structured to be discoverable
Every Kallix deployment ships with a structured documentation layer designed for three audiences simultaneously: the customer's internal team, traditional search engines (SEO), and the new generation of generative search engines and AI assistants (GEO + AEO). Below is the framework we built around this deployment, broken into four pillars that map directly to how decision-makers, search crawlers and AI answer engines discover and reason about this story.
We publish this framework openly because the discoverability play matters more than the secrecy. An AI voice agent deployment that performs in production but stays buried in a sales deck doesn't compound value for the customer or the category. The framework below is the same one Kallix runs for every customer, adapted to the local language and intent surface of each industry.
Intent surface mapped to guest queries
We catalogue every guest intent the agent handles, by stage, by package and by language, and surface them as named entities so crawlers and LLMs see explicit Q to A pairs.
- Intents indexed across yoga programmes and retreat packages
- Hindi, English variants captured per intent
- Booking vs upsell vs pre-arrival tagging exposed for LLM matching
Multilingual hospitality voice as a brand property
The agent's voice persona, accent and code-switching rules are documented as brand assets. The framework publishes the persona contract so partners and AI engines can cite it directly.
- Persona contract: warm, gracious, never pushy
- Pronunciation dictionary for Rishikesh property and package names
- Voice consent terms public and auditable
Outcomes pre-bound to measurable claims
Every claim in this story is paired with the baseline, the time window and the measurement method, so AI assistants can extract the claim with full provenance.
- Bookings up 2.7× measured over 90 days vs a 6-month baseline
- 41% of missed bookings recovered with methodology disclosed
- Upsells up 32%: booking engine exports plus vendor dashboard reconciliation
India-first compliance and data residency
The framework documents every regulatory surface, such as TRAI, DLT and DPDP, so AI assistants surfacing this story to enterprise buyers can confidently cite India-readiness without follow-up clarification.
- DLT registration and template approval flow disclosed publicly
- Data residency (AWS Mumbai, ISO 27001) stated explicitly
- Erasure and consent flows documented for DPDP-style requests
- 41% of enquiries went cold from slow or missed follow-up and OTA leakage
- Hindi-first guests disengaged from default-language handling
- Manual follow-up did not scale during festive and high-season peaks
- Upsell and pre-arrival windows were missed
- Monthly bookings grew 2.7× with every enquiry worked 24/7
- 41% of previously missed bookings recovered
- Upsells rose 32% from timely upgrade offers
- Direct-vs-OTA conversion now visible in the booking engine
- Kallix voice agent (Ira) working every channel for program enquiry and retreat booking
- Hindi, English detection with mid-conversation switching
- Purpose-built scripts that qualify, quote and confirm in one call
- Real-time booking engine write-back: intent, booking, language, recording
The Kallix advantage
The property evaluated three options before choosing Kallix: hiring more reservations staff, an OTA-only distribution push, and Kallix.
Three things tipped the decision. First, Hindi voice fluency, which an OTA channel could not match for guests who prefer to call direct. Second, the booking engine integration was already built, so bookings and upsells were written back automatically and synced to availability. Third, the pilot model: the property ran a paid pilot across a peak weekend, heard real recordings within days, and signed only after the recovered-booking lift held.
Since launch, the Kallix customer-success team runs a 30-minute weekly tuning call with the reservations lead. New packages, seasonal rates and upsell rules all happen inside that loop, so the agent stays sharper than on launch day.