ROLE OF ARTIFICIAL INTELLIGENCE IN MARKET DECISION-MAKING: KNOWLEDGE BASED FRAMEWORK

Understanding-based information systems are sophisticated instruments in the sales clerk hands, allowing him in complex situations to take evidence-based decisions. This paper ties together modern data processing, semantic networks and intelligence presentation techniques in the direction of an insightful tourist destination marketing information system. Knowledge engineering approaches for the analysis and simulation of consumer survey data on causes, correlations, clusters and secret trends that describe business trend or customer behaviour have been introduced in previous work. By using preparatory results from most important surveys on Thessaloniki travel, the viability of handling such observations in an understanding base as shareable, portable and computer comprehensible expertise was shown. We In this paper, the continuity of these innovations is presented in the current work, together with: (a) the final output of the Thessaloniki Tourism Survey, (b) a distilled understanding based filled with real and verified knowledge extracted from the complete survey data collection, (c) the expansion of approaches with an unnatural semantic network organiser and (d) the implementation of an reasoning algorithm and a demand framework for the application of information material to facilitate decision making. Pilot studies have shown that the smart device has been able to assist consumers who are not scientific professionals in addressing traditional communication challenges for destinations.