The goal of this paper is to propose a smart airport solution, which is customer-oriented and suitable for an airport at the beginning of the process of digitization. Such a solution is represented by a mobile application, which allows the airport to provide its customers with basic information faster, more efficiently, in a simpler manner, and without the need for face-to-face interaction. The data collected through a smart airport mobile application can be used in conjunction with other technologies or systems for predictive modeling and analysis. The main benefit of the paper is the primary research aimed at the identification of customer requirements for a specific airport from the perspective of services and functions that the mobile application should offer. Subsequently, based on the analysis, a proposal for an airport application for mobile devices is developed through UX and UI design. The design consists of six successive phases and results in the development of an interactive prototype of the required mobile application. In addition, the paper discusses how the data collected through a smart airport mobile application can potentially be used in conjunction with other technologies or systems for predictive modeling and analysis.

This paper investigates the impact of technological advancements, particularly the integration of the Internet of Things (IoT), on the efficiency and productivity of the postal service industry in Slovakia. By employing the Cobb–Douglas production function, we analyze the relationship between key inputs—capital and labor—and output for six major postal service providers: Slovak Post, Packeta, DHL Express, DPD, TNT Express, and GLS. Using data from 2017 to 2021, this study quantifies the elasticities of capital and labor to assess how IoT adoption influences operational performance. The regression analysis reveals significant variations in input contributions across companies, highlighting the diverse effects of IoT integration. Findings suggest that while some companies benefit more from capital investments in technology, others rely heavily on labor efficiency. These insights offer valuable implications for policymakers and industry stakeholders aiming to optimize resource allocation and enhance productivity through technological innovation.

This research develops and applies the IoTRIM model to assess the economic and operational implications of IoT integration in postal and courier enterprises in Slovakia. Combining a multi-criteria evaluation framework with an extended Cobb–Douglas production function, the analysis captures both readiness levels and their translation into output performance. The IoTRIM assessment reveals heterogeneous distributions of strengths across four strategic and technical pillars, with notable disparities between connectivity, data analytics, and interoperability capacities. Monte Carlo simulations under pessimistic, realistic, and optimistic scenarios highlight divergent digital trajectories among enterprises, with some demonstrating accelerated gains from IoT readiness while others face structural bottlenecks in infrastructure and process integration. Hypothesis testing indicates that while a positive and statistically significant relationship between IoT readiness and output is observed in selected cases, this effect is not universal across all enterprises and scenarios. However, the inclusion of IoT readiness consistently improves the explanatory power of the production function models. The findings underline that digital transformation outcomes depend not only on investment scale but also on systemic absorption capacity, including interoperability, data governance, and organizational alignment. The proposed approach offers both a methodological contribution for measuring digital readiness impacts and practical insights for strategic planning in the postal and courier sector.