Research on New Trends and Development Prospects of Enterprise Resource Planning (ERP) Systems

Аннотация

This article analyzes modern trends and development prospects of ERP systems. The importance of ERP systems in automating business processes and increasing efficiency is highlighted, and their integration with cloud technologies, artificial intelligence, IoT and mobile applications is discussed. Also, the development prospects of ERP systems are considered as artificial intelligence-based automation, increased cybersecurity measures, flexibility and the creation of user-friendly interfaces. Continuous improvement of ERP systems serves to increase business efficiency and ensure competitiveness. Keywords: ERP systems, cloud technologies, artificial intelligence, IoT, mobile ERP, automation, cybersecurity, business processes, digitalization, innovative solutions. Introduction: In recent years, enterprises and organizations have been paying more and more attention to ERP (Enterprise Resource Planning) systems in order to automate and optimize their business processes. In particular, studies published in 2023 - 2024 show that the integration of ERP systems with cloud technologies, artificial intelligence and IoT is further expanding their functional capabilities. Leading ERP platforms such as SAP, Oracle, Microsoft Dynamics are European International Journal of Multidisciplinary Research 50 https://eipublication.com/index.php/eijmrms and Management Studies European International Journal of Multidisciplinary Research and Management Studies being actively implemented by companies worldwide, business processes more flexible and faster. At the same helping to increase the efficiency of business time, the development of ERP systems also requires processes. A number of works are also being carried strengthening cybersecurity measures, since data out in Uzbekistan in this regard: large industrial protection and confidentiality are of great importance enterprises and state organizations are achieving for enterprises. The future of ERP systems is closely centralization and digitalization of operational linked to the widespread introduction of artificial processes by implementing ERP systems. This article intelligence, IoT, and cloud technologies, the use of focuses on modern trends in ERP systems, innovations which will serve to increase competitiveness and that affect the development of the industry, and future efficiency for enterprises [4]. development prospects. The development of these systems in recent years has In the study of ERP systems, researchers and specialists been driven by several important trends that are making have used various methods and techniques, each of ERP platforms more flexible, intelligent, and user- which is aimed at improving the efficiency of the friendly [5]: system and identifying development trends. In 1. Transition to cloud ERP systems; scientific research, empirical, experimental and 2. Expansion of artificial intelligence and analytical analytical approaches are widely used. Within the capabilities; framework of empirical methods, the process of implementing ERP systems in enterprises is studied 3. Integration with IoT; and practical results are analyzed. Experimental 4. Mobile ERP systems; methods test various modules of ERP systems and 5. Security and data protection. assess their impact on business processes. At the same The above are the development trends of ERP systems, time, mathematical modeling and large-scale data and the direction in which they are changing in modern processing methods are used to forecast the future business can be described in detail as follows [8-9]: development prospects of ERP systems. Researchers use SWOT and GAP analysis methods to evaluate 1. Transition to cloud ERP systems. Cloud ERP platforms software architecture and compare different ERP are a more convenient and cost-effective solution systems. In addition, statistical analysis methods are compared to traditional local ERP systems. Thanks to used to study the impact of ERP systems on enterprise cloud technologies, companies are able to use fast and efficiency and calculate economic profitability uninterrupted services without large software costs. indicators. In recent years, research on integrating ERP Cloud ERP systems also provide real-time access to data, systems with artificial intelligence and cloud making it easier to work remotely and manage technologies has also expanded, and machine learning multidisciplinary business processes; (ML) algorithms are being used to analyze data. 2. Expanding artificial intelligence and analytics Therefore, it is observed that a combined approach to capabilities. The integration of artificial intelligence (AI) researching ERP systems - that is, combining and machine learning (ML) algorithms into ERP systems technological, economic and management methods - helps to further automate and optimize business gives the most effective results [1-3]. processes. The capabilities of AI-based data analysis, METHODS forecasting, and decision-making are expanding, all