Digital Culture & AudioVisual Challenges

The rapid digitalization of the tourism sector requires systems that transcend static information repositories, moving towards intelligent, context-aware ecosystems. This paper presents the technical architecture and innovative application of the INDIANA (Intelligent Destination Management) platform, an AI-driven localized metasearch engine designed to optimize visitor flows and enhance the “Quality of Destination Experience”. In this work, first, we analyze the platform’s technical methodology, starting with information retrieval and aggregation. INDIANA operates by synthesizing vast data repositories from heterogeneous sources, including official cultural organization datasets and popular travel APIs (Data Hub), while simultaneously ingesting real-time data from IoT sensors and wearable devices (e.g., location, biometric data). This raw data is processed through ETL (Extract, Transform, Load) tools and fed into a machine-learning recommendation engine.

The core innovation lies in the system’s parameterized decision-making capabilities. Unlike traditional systems that offer static suggestions, INDIANA utilizes a Digital Twin of the traveler—an anonymous profile encompassing demographics, real-time location, and physical disposition—to dynamically filter Points of Interest (POIs). The paper demonstrates how this architecture enables automated destination management: by analyzing real-time density and environmental conditions (e.g., weather, traffic), the AI algorithm creates “expert rules” that redirect tourists, and hence, it possesses the capability to handle and redirect tourist flows. Specifically, we present use cases where the system identifies congestion at popular sites and proactively suggests alternative activities or modifies the proposed itinerary times, thereby dispersing visitors spatially and temporally. This automated intervention not only mitigates the impact of overtourism but also streamlines the cultural experience by intelligently combining both popular sites of cultural heritage and unlocking new value for lesser-known cultural assets.

Finally, we discuss the User Experience (UX) implications. By integrating Augmented Reality (AR) for immersive content and employing push notifications for just-in-time suggestions, the platform bridges the gap between complex backend data analysis and a seamless, personalized frontend interface. The result is a resilient, self-regulating ecosystem where AI acts not just as a guide for the user, but as a strategic manager for the destination.