In 2025, 11.7 million tourists visited Uzbekistan, but five of its fourteen regions accounted for 97.1% of the country's tourism service revenue. The government is developing digital tools for tourists, but it lacks the systems to turn scattered regional data into useful information to help them allocate their resources. This paper suggests a six-layer Decentralised Tourism Intelligence Platform (DTIP) that divides Uzbekistan's 14 administrative regions into six tourism intelligence zones. Each zone has its own AI model. The architecture solves four problems: it makes peripheral businesses invisible online, it breaks up data that never becomes intelligence, it gives creators incentives that account for geography, and it provides shared intelligence for both government and commercial operators. The paper adheres to Design Science Research methodology, situating the architecture within Level 2 of Gregor and Hevner's (2013) knowledge contribution framework. The framework can be reused where cultural wealth takes precedence over digital visibility.
Publication Date: 2026-06-21