DIGITAL TRANSFORMATION IN PRACTICE: IMPLEMENTING A MODERN INFORMATION SYSTEM AND AI FOR EFFECTIVE PERSONNEL MANAGEMENT IN A REGIONAL AIRPORT

ABSTRACT

The article discusses digital transformation in practice: implementing a modern information system and AI for effective personnel management at a regional airport. The relevance and objectives of the project (including AI) are substantiated. The current state is analyzed and bottlenecks are identified (taking into account the potential of AI). The process of implementing 1C: ZUP KORP is described. Examples of AI Application at the Airport are provided.

АННОТАЦИЯ

В статье рассматривается цифровая трансформация на примере внедрения современной информационной системы и ИИ для эффективного управления персоналом в региональном аэропорту. Обоснована актуальность и цели проекта (с учетом ИИ). Проанализировано текущее состояние и выявлены узкие места (с учетом потенциала ИИ). Описан процесс внедрения 1С: ЗУП КОРП. Приведены примеры применения ИИ в аэропорту.

Keywords: 1C: ZUP KORP, AI, optimization, resource management, HR

Ключевые слова: 1С: ЗУП КОРП, ИИ, оптимизация, управление ресурсами, HR

Introduction

In today's world, business process automation is a key success factor for enterprises in any industry, and the aviation sector is no exception. Effective personnel management, HR record-keeping, and payroll calculation are critical aspects of airport operations, directly impacting operational efficiency and competitiveness [1; 2]. Alongside this, the implementation of artificial intelligence (AI) technologies is becoming increasingly important, capable of optimizing various aspects of airport operations – from passenger flow management to security.

Let's consider the implementation of an automated system and digital transformation at a regional airport.

Research materials and methods

Project Relevance and Objectives (Including AI)

A modern airport is a complex mechanism requiring the coordinated work of many departments. Maintaining this structure is impossible without modern IT solutions, including AI-based systems. Until recently, one regional airport used the «Galaktika ERP» system for HR record-keeping and payroll. However, over time, the system ceased to meet growing business requirements, and the need to implement AI for increased efficiency became apparent.

The main goal of the project was not only the transition to a «1C» solution, namely 1C: ZUP KORP, but also the creation of a foundation for subsequent integration and use of AI technologies. This allowed for the creation of a comprehensive automated personnel management system capable of adapting to changing business needs, integrating with other systems, and serving as a platform for implementing AI solutions. The project aimed to address a number of key tasks:

• Automating HR record-keeping and payroll calculation.
• Improving the quality control of these processes.
• Organizing seamless data transfer between systems.
• Optimizing the work of the HR department and the occupational safety department.
• Maintaining records in accordance with current Russian legislation.
• Reducing routine operations.
• Creating a basis for AI implementation in various areas of airport activity [3; 4].

Current State Analysis and Bottleneck Identification (Considering AI Potential)

The use of «Galaktika ERP» was accompanied by several serious problems [5]. The system proved insufficiently flexible, difficult to support, and expensive to modify. Among the main drawbacks are:

• Limited customization options. Any changes required involving system developers.
• Complex program code and limited access to technical documentation.
• Shortage of qualified «Galaktika ERP» specialists.
• Irregular updates from the vendor.
• Difficult integration with third-party information systems, creating risks of errors and data loss.
• The need to purchase additional modules to automate various business processes, while the connection between modules was weak.
• Lack of opportunity for effective data collection and analysis necessary for AI operations.

The analysis of business processes in HR record-keeping and payroll revealed the following bottlenecks:

1. Unstructured information transfer.
2. Lack of automation of several functions, record-keeping in Excel.
3. Data duplication and, as a result, data inconsistency.
4. High risk of errors and their spread among employees.
5. Manual data analysis and, therefore, delays in identifying and resolving problems.
6. Difficulties updating the system in accordance with legislative changes.
7. Lack of a unified platform for collecting and processing data necessary for AI implementation.

Solution Selection and Implementation Process (Considering AI Preparation)

Based on the analysis of the current situation and business requirements, a decision was made to switch to 1C: ZUP KORP. This choice was driven by the system's broad functionality, flexibility, availability of qualified specialists, and active vendor support. An important factor was also the ability to integrate 1C: ZUP KORP with other systems and create a unified information space necessary for AI operation.

The implementation process of 1C: ZUP KORP took 10 months and was divided into 7 stages:

1. Project Analysis: Requirements gathering, development of a schedule and preparation of checklists, as well as identification of potential areas of AI application in the future.
2. System Design: Business process modeling, development of technical specifications, a printed forms album, and a user access rights matrix, as well as designing data architecture considering data requirements for AI.
3. Data Transfer and Modifications: Data migration from «Galaktika ERP» to 1C: ZUP KORP using developed data migration tools. Special attention was paid to the quality and structure of transferred data to ensure its suitability for AI analysis.
4. Integration Setup: Integration of 1C: ZUP KORP with other airport information systems, creating a unified information space that can later be used for training AI models.
5. User Training: Development of a training program and conducting face-to-face training, as well as informing employees about the possibilities of using AI in the future.
6. Pilot Operation: Launching the system in real-world conditions to identify and eliminate potential shortcomings.
7. Production Operation: The final stage, including making final adjustments, stabilizing the system, and remote user support.

Examples of AI Application at the Airport:

After the successful implementation of 1C: ZUP KORP and the creation of the necessary infrastructure, the airport was able to implement various AI solutions:

1. Schedule Optimization and Resource Management: AI can analyze passenger flow data, weather, and other factors to optimize flight schedules, staff allocation, and equipment use.
2. Improved Passenger Service: AI-powered chatbots can answer passenger questions, help with airport navigation, and provide personalized information.
3. Enhanced Security: AI-based facial recognition systems can be used for access control to restricted areas and for identifying potentially dangerous individuals. Computer vision can help detect forgotten baggage and other suspicious items.
4. Predicting and Preventing Failures: AI can analyze data on the operation of airport equipment and systems to predict potential failures and take measures to prevent them.

Research results

Let's consider project results and recommendations (Considering AI Perspective). The implementation of 1C: ZUP KORP brought tangible results (Fig.1).

Figure 1. Results of 1C: ZUP KORP implementation

Moreover, the project created a solid foundation for further implementation of AI technologies, which will allow the airport to further increase its efficiency, security, and quality of service.

Conclusion

The experience gained during this project can be useful to other enterprises. When choosing the right time to switch to a new system, it is necessary to consider the current state of IT infrastructure, business needs, and available resources. It is important to carefully plan the implementation process, involve qualified specialists, and pay sufficient attention to user training. At the same time, it is necessary to consider the prospects of AI implementation, create the necessary infrastructure, and ensure data collection and structuring. 1C: ZUP KORP, thanks to its comprehensiveness and flexibility, is an excellent solution for automating HR record-keeping, payroll calculation, and human resource management, and also serves as a reliable platform for AI implementation, providing enterprises with a competitive advantage in the modern digital world.

References:

1. Абабий А.В. HR-автоматизация: современные тенденции и перспективы развития // Экономика: вчера, сегодня, завтра. 2024. Том 14. № 4А. С. 44-52.
2. Ломоносова Н. В., Якимова Е. А. Состояние и перспективы использования цифровых HR-инструментов российскими компаниями // Открытое образование. 2020. Т. 24, № 4. С. 47-55.
3. Пичурин И. В., Лагутина Е. Е. К вопросу автоматизации подбора персонала // Общество, образование, наука в современных парадигмах развития: сборник трудов по материалам III Национальной научно-практической конференции «Общество, образование, наука в современных парадигмах развития» (Керчь, 17-18 октября 2022 года). Керчь: ФГБОУ ВО «Керченский государственный морской технологический университет», 2022. С. 362-365.
4. Чудиновских М.В. Автоматизация процесса подбора персонала: цифровая зрелость и оценка экономического эффекта // Цифровые модели и решения. 2025. №1. С. 35-46.
5. Юрьев С. В. Эффективность внедрения ERP-системы. Расчет экономического эффекта // Экономический вектор. 2018. № 1 (12). С. 85-87.