Toying with the idea of non-reception

non-reception-air

Over and over again, the most bitter of all hotel experiences is the moment of arrival. When everything should suggest opening the doors of imagination and hospitality, we usually see something like a wall barring the way to happiness: the reception desk, the final frontier. No way to find the way! The Iron Curtain falls. So, “what can I do?”, wonders any innovative hotelier; perhaps it is the most convenient way to welcome the customers; maybe it is the most useful method to take their ID; surely it is the most practicable place from which to control visitors. Others, owners of small charming hotels, claim that furniture like this helps the communication with the newcomer, and no digital check-in could replace the warmth of human contact. Continue reading

Predictive Tourism Models

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The emergence of the digital phenomenon has already altered the foundations of tourism around the world and a new uproar is around the corner: Big Data, the analytics of massive data. The processing of large quantities of data allows the establishment of predictive models originated by tracking the travel activity through human sensors already implemented/implanted, such as smartphones, almost biometric extensions of people. In the year 2020 we foresee the interconnection of 212.000 million sensors! , correlating without any cables, telemetrically. This fantastic universe of intertwined data will then provide information that to date is unavailable as to how many, when, how, where, towards where and whom are the travellers on the move.

The tourism industry must be prepared to affront this big challenge of the circulation and analysis of data. Pioneers of the technological development, airline companies have initiated this task several years ago when they created a management system, yield management, capable of optimizing air transport based on demand, seasonality, connection hubs, and anticipating booking. Big hotel chains have copied this model, as have other tourism corporations such as main reservation companies, online agencies and travel meta search engines, that have been introducing variables in their electronic business modules capable of determining what date is more convenient for the user to take a specific flight or book a particular room. Continue reading