A modern specialist in the field of maintenance and repair of rolling stock needs to constantly have access to up-to-date information about the technical condition, equipment and location of serviced units. This article analyzes the existing software products and applications that allow you to plan and manage the processes of repair work and operation. The work is devoted to the creation of products for finding up-to-date information about the technical condition of rolling stock units both on a personal computer and in an online application environment. Programs have the ability to be updated and supported, including bug fixes. The use of the proposed tools will allow a specialist in the field of logistics, maintenance and repair of rolling stock to increase the efficiency of forecasting, organization of transport processes and repair work. The algorithms of operation of each software product are formed in the work. The algorithms are presented in the form of flowcharts. The generated database is presented. Geometric parameters and wheelset numbers, dates of the last maintenance and overhaul, location were added to the presented database in accordance with the number. An array of data with photos of car was also created. The article presents a text written in the Python programming language. This language made it possible to fully implement the algorithm of the products actions. During the testing of the programs, the operation of the main functions was checked, namely, the search for parameters by the composition number. The work solved the problem of displaying photos and videos on the screen at the users request. This function will reduce the time to choose a rolling stock unit for rent and control the quality of repairs. The results of the work of programs in the environment of online applications and on a personal computer are presented in the form of drawings. When creating a software product in an online application environment, the issue of data transfer security (whitelist, password encryption, end-to-end encryption, as well as copy and forwarding protection) was resolved.

• Zharkova E. A. System aspects of the development of railway transport based on information technologies, Vestnik SGUPS: gumanitarnyye issledovaniya, 2018, no. 1 (3), pp. 10—14 (in Russian).
• Ivanova Ye. I. Intelligent information system for solving the problems of predicting malfunctions of railcar equipment in railway transport, Programmnyye produkty i sistemy, 2015, no. 4 (112), pp. 231—236 (in Russian).
• Kapustin K. A., Larchenko A. G. Information technologies and systems for comprehensive monitoring of the technical condition of wagons, Molodaya nauka Sibiri. Young Science of Siberia, 2023, no. 1 (19), pp. 182—191 (in Russian).
• Vinokurtseva Ye. A. Information systems of the wagon economy: an analytical review, Vagony i vagonnoye khozyaystvo, 2021, no. 3 (67), pp. 46—48 (in Russian).
• Course towards digital interaction, Zheleznodorozhnyy transport, 2021, no. 3, pр. 3 (in Russian).
• Sukonnikov G. V. Development of information technologies of Russian Railways, Avtomatika, svyaz', informatika, 2017, no. 9, pp. 16—18 (in Russian).
• Yusupov I. M. Optimization of the work of Russian Railways by abandoning the ERP SAP system and switching to 1С, Molo-dezhnaya nauka; trudy XXVI Vserossijskoj studencheskoj nauchno-prakticheskoj konferencii KrIZhTIrGUPS, 2022, vol. 2, pp. 189—192 (in Russian).
• Filipchenko S. A. Ledyayeva N. V., Kurenkov P. V. Modern technology for accounting for monitoring the fleet of freight cars, Zheleznodorozhnyy transport, 2016, no. 2, pp. 58—63 (in Russian).
• Personal account of the client of Russian Railways, available at: https://ozd-center.ru/lk-new-doc (date of access 21.07.2023).
• Kuleshov A. V., Pashkov N. P. Structural organization of the database of the information system for monitoring the technical condition of the car, Informatsionnyye tekhnologii i problemy matematicheskogo modelirovaniya slozhnykh system, 2008, no. 6, pp. 19—23 (in Russian).
• Guidelines for the repair and maintenance of wheel sets with axle boxes for freight cars on 1520 gauge mainline railways. JSC VNIIZhT (in Russian).
• Shumilina M. A., Korobko A. V. Development of a chatbot in the python programming language in the Telegram messenger, Nauchnyye izvestiya, 2022, no. 28, pp. 47—55 (in Russian).
• Kozhekina Ye. N., Pechekin N. D., Borshchevskiy S. V. Automation of daily data collection using Telegram-bot, Vestnik Donetskogo natsional'nogo universiteta, Seria G: Technicheskie nauki, 2022, no. 2, pp. 22—30 (in Russian).
• Transport company VagonService, available at: https://тквс.рф (date of access 21.07.2023).
• Kapustin K. A., Larchenko A. G. Remote control and technical composition of the rolling stock in real time: certificate of state registration of the computer program. No. 2023665998 dated 07.25.2023