Question 1

How can AI handle hotel reservation calls 24/7?

Accepted Answer

AI call agents connect to your property management system or channel manager to check live room availability, apply your rate configuration, and confirm reservations during the call. A guest calls, states their dates and room preferences, the AI checks availability in real time, presents options, confirms the booking, and sends a confirmation email or SMS, all without involving front desk staff. The system handles inbound reservation calls, modification requests, and cancellations across every time zone and every hour of the day.

For example, a boutique hotel in a tourist destination receives a significant share of its reservation enquiries from international guests calling outside European business hours. Before Televanta, these calls went to voicemail with a low callback rate and lost bookings to OTAs. With Televanta, every call is answered instantly, availability is checked in real time from the PMS, and direct reservations are confirmed before the guest has time to check an OTA. Direct booking revenue increases by 18 percent within 90 days.

A small hotel group with four properties deploys Televanta across all four front desk numbers. The system handles all after-hours reservation calls automatically and passes complex requests, special occasions, corporate accounts, multi-room group bookings, to the reservations team the next morning with full call transcripts. Front desk staff arrive each morning to a confirmed booking list rather than a voicemail inbox.

Question 2

Can AI answer guest FAQs via chat and voice simultaneously?

Accepted Answer

Yes. An AI chatbot on your hotel website handles the same FAQs as your AI call agent on your phone line, both drawing from a single shared knowledge base. A guest researching on your website gets instant answers about check-in times, parking, pet policy, or room features via the chatbot. A guest calling for the same information gets the same accurate answer via the call agent. Both channels update simultaneously when your knowledge base changes, so there is never a discrepancy between what your website chat says and what your phone line says.

For example, a resort property deploys Televanta's chatbot on its website and AI call agent on its main phone number. Both are trained on the same knowledge base covering 140 property FAQs, dining reservation availability, spa booking, and local activity information. A guest who chats on the website asking about pet policy gets an instant answer. Another guest who calls asking the same question the following morning gets the identical, accurate answer from the call agent.

A hotel group with seven properties manages one Televanta knowledge base for all seven locations, with property-specific answers for local questions and shared answers for brand-wide policies. When a new policy is introduced, for example, a sustainability initiative reducing daily housekeeping, the knowledge base is updated once and all seven chatbots and all seven call agents reflect the change immediately. The marketing and operations teams eliminate the process of updating multiple systems separately.

Question 3

How does AI improve direct hotel bookings and reduce OTA dependency?

Accepted Answer

The majority of direct booking opportunities are lost when potential guests cannot get a fast answer to a simple question. A guest wondering whether a room is available for specific dates, whether the hotel is pet-friendly, or what the cancellation policy is will check an OTA if the hotel phone goes to voicemail or the website has no live support. AI agents close this gap by answering instantly on both phone and chat, providing accurate availability information from your PMS, and confirming a direct booking before the guest has time to look elsewhere. Direct bookings carry no OTA commission, making the ROI of AI straightforward to calculate.

For example, a city-centre hotel calculates that every direct booking it captures instead of through its primary OTA saves an average of 18 percent in commission. After deploying Televanta on its phone and website chat, the hotel captures 34 additional direct bookings per month from enquiries that previously went unanswered. The monthly commission saving more than covers the Televanta cost.

A boutique hotel with 30 rooms deploys Televanta's AI chatbot on its website with proactive triggers that activate when a visitor spends 45 seconds on the rooms page without clicking "book." The chatbot asks if they need help finding availability or have questions about the property. 22 percent of visitors who engage with the proactive trigger complete a direct booking, compared to a 4 percent conversion rate for visitors who see the rooms page without engaging.

Question 4

Can an AI chatbot handle hotel check-in and check-out queries?

Accepted Answer

AI chatbots handle the full range of check-in and check-out related queries without front desk involvement, arrival time flexibility, early check-in availability, late check-out requests, key collection procedures, luggage storage options, and departure instructions. The chatbot can also send proactive pre-arrival messages to guests 24 hours before their arrival date with check-in instructions, parking details, and any pre-arrival requirements. Check-out queries on the departure day, billing questions, late check-out availability, taxi booking, are handled instantly via chat or phone without the guest needing to queue at reception.

For example, a city business hotel uses Televanta's chatbot on WhatsApp to send every guest a pre-arrival message 24 hours before check-in. The message confirms their room type, provides parking instructions, and offers to answer any questions. 40 percent of guests reply with a question, all of which are handled by the AI automatically. The front desk team reports a significant reduction in arrivals queues because guests arrive already informed.

A resort property deploys Televanta to handle all late check-out requests via WhatsApp. Guests message on the morning of departure asking if they can extend. Televanta checks PMS availability in real time, confirms availability or offers the latest possible time, and logs the extension. The front desk eliminates the phone and in-person queue for late check-out requests, which previously consumed front desk staff during the busiest part of the morning.

Question 5

How does AI support multilingual hotel guests?

Accepted Answer

AI agents detect the guest's language from the first sentence of a call or chat message and respond in the same language automatically, with no routing rules or manual selection required. For a hotel serving international guests, this means every caller and website visitor is answered in their preferred language from the first interaction, delivering a personalised, culturally appropriate experience without the cost of hiring multilingual staff for every language market you serve.

For example, a coastal resort with a significant German, Italian, and UK guest mix deploys Televanta across its phone and chat channels. German-speaking guests calling the reservation line are answered in German. Italian guests messaging the chatbot are answered in Italian. UK guests receive English responses. All three interactions are handled from the same Televanta deployment with one knowledge base, requiring no additional staffing or separate phone numbers.

A hotel group operating in a multilingual tourist region deploys Televanta to replace a costly multilingual call answering service they had used for three years. Televanta handles guest calls in multiple languages from a single platform at a fraction of the previous cost. The group saves significantly on the third-party answering service while improving response speed and consistency across all language markets.

Question 6

Can AI handle hotel concierge requests and upsell opportunities?

Accepted Answer

AI agents can handle a wide range of concierge-style requests that hotels typically manage through the front desk, restaurant reservations (where an API integration exists), spa booking availability, taxi and transfer arrangements, local attraction information, and room service enquiries. They can also be configured to present upsell offers at natural points in the conversation, for example, offering a room upgrade, breakfast package, or spa day when a guest calls to confirm their arrival. These upsells are presented conversationally rather than as a scripted pitch, which significantly improves uptake rates compared to a front desk queue.

For example, a hotel group configures Televanta to present a room upgrade offer whenever a guest calls to check their reservation in the 48 hours before arrival. The upgrade is presented as a single conversational sentence, "We do have a superior room available for your dates which includes a sea view, would you like me to add that for an additional 25 euros per night?" The group achieves a 19 percent upgrade acceptance rate on these calls, generating significant additional revenue from interactions that previously generated none.

A spa resort deploys Televanta to handle all spa booking enquiries via phone and chat. The AI checks live spa appointment availability, books treatments, and presents package upsells, for example, adding a couples massage to a single booking, or adding lunch to a half-day spa reservation. Spa revenue per guest increases by 14 percent within 90 days of deployment.

Question 7

How does AI reduce front desk call volume in hotels?

Accepted Answer

The majority of front desk calls in most hotels fall into a small number of repeating categories: availability and booking enquiries, directions and parking, check-in time queries, room service and restaurant information, and late check-out requests. AI agents handle all of these categories automatically, routing only genuinely complex requests, group bookings, complaints, special requirements, to the front desk team. Most hotels achieve a 50 to 70 percent reduction in total front desk call volume within the first 90 days of deploying a well-configured AI agent.

For example, a 120-room city hotel analyses its front desk call log and finds that 67 percent of calls fall into five categories, all of which Televanta can handle automatically. After deployment, the front desk team handles on average 35 calls per day instead of 106. Staff report significantly lower stress levels and more time to focus on the check-in and checkout experience for guests physically at the desk.

A hotel group with six properties calculates that each property's front desk team spends approximately 3.5 hours per day on phone calls. After deploying Televanta, phone call time falls to under one hour per day per property. The time reclaimed is redirected to proactive guest engagement, welcome calls to guests before arrival, personalised room preparation, and follow-up with guests who had a complaint. Guest satisfaction scores improve across all six properties within 60 days.

Question 8

Can AI send post-stay feedback requests to hotel guests?

Accepted Answer

AI agents can be configured to send automated post-stay communications at defined intervals after a guest's departure, a same-day thank you message, a 24-hour satisfaction survey, and a review request at 48 to 72 hours after checkout. These messages are triggered automatically by checkout events in your PMS, requiring no manual sending from staff. The survey results are captured in Televanta's dashboard and, where integrated, pushed to your CRM or reputation management platform. Guests who rate their experience below a threshold trigger a separate private feedback follow-up rather than a public review request, protecting your online reputation.

For example, a boutique hotel configures Televanta to send a personalised thank you SMS within one hour of checkout, a satisfaction survey at 24 hours, and a TripAdvisor review request at 72 hours, but only to guests who rated their satisfaction above 4 out of 5. In the first 60 days, the hotel's monthly TripAdvisor review volume increases by 340 percent and its average score improves from 4.1 to 4.6.

A resort group deploys Televanta's post-stay communication flow across three properties. Guests who give a low satisfaction score receive a private follow-up message with a direct link to the general manager's contact rather than a public review request. The group's negative online review rate drops by 62 percent within 90 days because unhappy guests are channelled to private resolution before they reach public platforms.

Question 9

How does AI handle group and event enquiries for hotels?

Accepted Answer

AI agents handle first-contact group and event enquiries by collecting the key information needed to prepare a proposal, event type, preferred dates, number of guests, room block requirements, catering needs, and budget range. This structured information is logged and routed to the hotel's events or group sales team with a complete enquiry brief, eliminating the unstructured voicemail or email that previously required a team member to call back for basic details. The AI also qualifies the enquiry by asking key questions so the sales team knows before they call back whether the group is a strong fit for the property.

For example, a conference hotel receives group booking enquiries via phone and web chat outside business hours. Previously these went to voicemail or a generic contact form with minimal information. With Televanta, every group enquiry is collected with 12 structured fields and routed to the events team as a qualified brief. The events team reports spending 40 percent less time on initial qualification calls because Televanta has already gathered the key details.

A wedding venue deploys Televanta to handle initial wedding enquiry calls. The AI collects the couple's preferred date, guest count, ceremony and reception requirements, catering preferences, and budget range. Qualified enquiries are routed to the wedding coordinator with a full brief. The coordinator reports that conversations now start at the proposal stage rather than the information-gathering stage, cutting the average sales cycle by two weeks.

Question 10

Can AI handle hotel complaint calls and route them appropriately?

Accepted Answer

AI agents are configured to detect complaint language, frustration, negative sentiment, service failure descriptions, and respond with empathy while immediately routing the call to a human team member with full context. The AI does not attempt to resolve genuine complaints autonomously; it acknowledges the guest's frustration, assures them their concern is being taken seriously, and connects them to the right person with a real-time brief covering what was said, the sentiment level, and the nature of the complaint. This ensures the guest is heard quickly and the receiving team member is prepared rather than walking into the conversation blind.

For example, a hotel guest calls to complain that their room has not been cleaned by 3pm despite the do-not-disturb sign having been removed that morning. Televanta detects the complaint intent, acknowledges the inconvenience with an empathetic response, and transfers the call to the duty manager within 20 seconds with a brief showing the guest's name, room number, and the nature of the complaint. The duty manager resolves the issue before the guest has hung up, preventing a negative online review.

A resort property configures Televanta to route any call containing complaint-associated language or negative sentiment above a threshold directly to the guest relations team rather than the general front desk. The guest relations team resolves 91 percent of complaint calls on first contact because Televanta's call briefing ensures they understand the issue before speaking to the guest. The property's complaint-to-negative-review conversion rate falls from 34 percent to 11 percent within 90 days.

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