Abstract
<jats:p>This article examines the analysis, software development, and implementation of customerfacing banking applications. The primary objective of the study is to evaluate the architecture, structure, and performance of a system that automates the processing of banking applications. The methods used include automated programming, structuring and categorization mechanisms, and simultaneous analysis. Simultaneously, the design included optimal system architecture planning, database model development, and functional module design. During system implementation, pilot tests were conducted, evaluating execution time, data processing speed, resource utilization, and system stability indicators. The results showed that the developed software system ensures high accuracy in classifying application sections, as well as maintaining stability during parallel processing and optimizing resource utilization. Implementation of the system improves operational efficiency, enhances customer satisfaction, and simultaneously enables the convenient identification of problem areas in banking services. For this reason, the implementation of software in the banking sector can be considered the most suitable solution for improving analytical management and supporting digital transformation. Keywords: customer surveys, banking system, decision support, performance indicators, software, automatic analysis, digital transformation, system architecture.</jats:p>