Automation of the Cash Collection Process Through the Development and Implementation of a Mobile Automated Cash-in-transit System

In the context of the digitalization of the banking sector and the increasing requirements for the speed and security of cash handling, traditional methods of cash-in-transit (CIT) operations no longer provide the necessary level of efficiency. An analysis of existing solutions shows that modern CIT services face fragmented technological infrastructures, insufficient integration between mobile and web systems, and a lack of intelligent decision-support tools. The gap in research literature lies in the absence of comprehensive architectures that unify mobile applications, web-based monitoring services, and artificial intelligence modules into a single ecosystem for managing CIT processes. The purpose of the study is to analyze the possibilities for automating CIT processes using mobile and web technologies, as well as intelligent components aimed at improving the efficiency, transparency, and security of cash-in-transit operations through a mobile automated CIT system. The methodological foundation includes systems analysis of CIT processes, business process modeling (BPMN), architectural design, software engineering methods, and the application of machine learning algorithms for route optimization, delay prediction, and anomaly detection. The results demonstrate that the use of a mobile application in combination with a monitoring center web service and AI agents enables continuous data exchange, improves planning accuracy, automates briefing and documentation procedures, and reduces the impact of human factors. The conclusions confirm that the implementation of the Mobile Automated Cash-in-Transit System (MACTS) ensures a significant increase in the efficiency of CIT processes, enhances security, and establishes a foundation for the further development of intelligent solutions in logistics and banking automation. The prospects of the research include expanding the functionality of AI agents and integrating the system with corporate security and financial monitoring platforms

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