Hospitality Chatbot

With the introduction of an omnichannel Chatbot for Web Chat, WhatsApp, Viber and Facebook Messenger, users, i.e., guests in tourism, are enabled to communicate effectively and make the fastest and simplest reservation of accommodation or some of the tourist content. This enables contact centers to work 24/7, and guests or end users in general to receive answers to every possible question and access information from a defined knowledge base at any time in multiple languages. With the possibility of sorting conversations by importance, topic and content, as well as switching the conversation with the user to a guided conversation with an agent, which has all the information of the previous conversation, the uniqueness of InSky Chatbot is reflected in the integrity of the solution where artificial intelligence learns based on the preferences and interests of the individual user and of all previous inquiries, reservations, stays, responses, wishes, reviews or activities on social networks.

We are able to collect data using artificial intelligence or follow a predefined scenario you prefer.

You can try a demo of the hospitality chatbot below:



By using the Chatbot, when deciding on the optimal answer, the artificial intelligence, in addition to the data from the knowledge base, has data about the guests saved within the TourismInSky solution, and the Chatbot will, for example, recognize whether the guest is a member of the loyalty program, what are his preferences and interests, and take this into account when conducting communication. In this way, TourismInSky is a unique solution that unites all communication channels, processes specific to the hotel industry and artificial intelligence that uses the collected large amount of data and learns from it every day and provides the opportunity for hoteliers to be the best possible hosts to each of their dear guests.

Artificial intelligence encompasses the use of algorithms for the purpose of using predictive analytics. Voice, mobile, social, chat, e-mail and other activities are combined with transactional, sentimental, demographic, and other data to contact respondents with relevant information. Based on the collected data from internal and external databases, it is possible to predict the reason for the call and predict the workload of the contact center. By applying innovative algorithms, the solution provides hotels with a better knowledge of guests and provides them with intelligent support in meeting their needs and preferences. Such a level of advanced knowledge and relevant support not only affects the strengthening of trust and loyalty of guests, but also directly promotes the direct sale of all additional tourist services and activities that the hotel has to offer.