USE OF ARTIFICIAL INTELLIGENCE IN FORECASTING NEEDS IN MATERIAL RESOURCES
Today, Artificial Intelligence (AI) has a fairly wide application in various fields. Enterprises are no exception, where it is used in almost all business processes, and in particular in the planning of material resources. Such planning helps to increase production efficiency and optimize the use of resources. In this article, we will consider what resources are, their types and stages of planning. We will define what material resource planning is, its importance in the activities of the enterprise and the possible consequences of incorrect planning. AI as a modern solution to problems that arise in the process of enterprise activity in the areas of: material resource management, demand forecasting, procurement automation, inventory control and supply chain improvement, etc. In particular, we will consider what AI is, by what principles it works, its main advantages and capabilities in resource planning and in various processes of the organization's activity. We will find out what challenges the enterprise faces: the complexity of using and the cost of implementing the latest technologies, as well as the prospects for the development of AI in the field of resource provision. We will also consider SCM and ERP systems as tools for implementing AI in an enterprise, which provide automation of key processes, such as purchasing, accounting, supply and production chain management. We will pay attention to the issues of security and correctness of data provided by AI, the need to adapt business processes, attract qualified personnel and train them. We will review the dynamics of technology implementation in the world and Ukraine. The approaches proposed in the article can be useful for enterprises that seek to increase competitiveness in the modern world through digitalization and the use of advanced technologies. The experience of global and domestic companies, as well as the demand for solutions based on artificial intelligence, already today indicate a positive result of their implementation.
Authors
- Y. Sholota
Publication Details
- Journal
- Visnyk Universytetu “Ukraina”
- Published
- 2025-01-01
- DOI
- https://doi.org/10.36994/2707-4110-2025-14-41-16
- Primary Topic
- Engineering Technology and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00