employee from 01.01.2006 to 01.01.2026
Yelabuga, Kazan, Russian Federation
employee
UDC 004.4'2
The article discusses the Car Dealership mobile application developed by the authors for the Android operating system, positioned as a tool to increase the operational efficiency of car dealerships. The relevance of the study is due to the fundamental transformation of the automotive industry in the context of digitalization and changing consumer behavior. Based on the analysis of scientific literature and expert assessments, the paper identifies systemic problems of interaction between dealerships and customers: fragmentation of communications, lack of transparent information about car availability, manual processing of requests, loss of communication channels at the after-sales service stage, which leads to economic losses of up to 25-30% of potential revenue. The modular architecture of the application is presented, which includes a car catalog, test drive registration, after-sales service, a personal account and an analytics communication module. Special attention is paid to the implemented system for collecting and analyzing data on user behavior: event analytics, building conversion funnels, cohort analysis, RFM segmentation, and predictive modeling based on machine learning methods. Based on simulation modeling and expert assessments, quantitative indicators of the potential effectiveness of the application implementation were obtained: an increase in operating profit by 29-46% (calculated on a three-year horizon taking into account investment costs), a decrease in the cost of attracting a client by 23-29%, and an increase in its lifetime value by 23-37%. A comparative analysis with existing solutions on the market was carried out, and the competitive advantages of the developed application were identified. It is concluded that the developed application is a comprehensive organizational and management solution that creates an analytical base for optimizing assortment and pricing policy, forecasting demand and managing customer loyalty
mobile application, Android, car dealership, operational efficiency, customer experience management, data analytics, retail digitalization, RFM analysis, machine learning
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