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Trailblazer: A Machine Learning Augmented Destination Management System

With the evergrowing need for digitalization and the increas- ing importance of tourism, we present Trailblazer, an innovative Des- tination Management System (DMS) that leverages advanced machine learning techniques, such as auto-tagging, sentiment analysis, and pre- dictive analytics, to provide real-time data insights for the tourism in- dustry. By integrating a modular microservices architecture, Trailblazer addresses the challenges of data fragmentation and delayed insights, thereby enabling destination managers to make informed, timely deci- sions. The system demonstrates enhanced data aggregation, user engage- ment, and operational efficiency through rigorous testing and evaluation.

Daniel Ferreira
DETI/IEETA and AETTUA
Portugal

Hugo Correia
DETI
Portugal

André Oliveira
DETI
Portugal

Alexandre Cotorobai
DETI
Portugal

Bernardo Figueiredo
DETI
Portugal

Osvaldo Pacheco
IEETA/DETI
Portugal