Interactive algorithm for estimating consumer demand for tourism services for sustainable operation of the transport industry

Abstract

The mass withdrawal from the tourism market and the bankruptcy of operators with many years of history show that there have been radical changes in this type of business. The digital economy, the rapid development of online services, aggregator sites change the structure of demand for travel, recreation and entertainment. First of all, it is necessary to take into account that the generation of zets becomes the most active consumer for these services. Since the global network has become the main source of information and a way of interaction for this age group, it is necessary to change the concept of supply. It is necessary to diversify the assortment sales matrix in addition to traditional vouchers. The expansion of the range of tourism products should be based not only on a deep analysis of market demand, but also on modern algorithms for processing large sets of consumer preference data. It is beneficial to take advantage of digital technologies. It is necessary to take into account a combination of two circumstances: on the one hand Internet surfing potential customers of tourist services, on the other the possibility of tour operators purchasing from search portals and sites aggregators of data on leads (lead), landing pages (Landing Page), CTR (Clickthrough Rate) and other tools of Internet marketing statistics. This work is devoted to the development of an algorithm for processing sets of data on consumer preferences and the development of an optimal market strategy for the supply of tourism services in a competitive business environment. Methods of stochastic optimization, mathematical theory of search for solutions in conditions of uncertainty, computer modeling have been used to solve the problem.