The modern business environment requires effective inventory management to maintain competitiveness. In response to the increasing complexity of global supply chains, fluctuating consumer demand, and rising operating costs, there is a growing need for reliable management accounting tools to optimize inventory processes. In this study, the author analyzes and evaluates which tools are most effective for inventory management and provides practical recommendations for implementation in various industries. The study uses a qualitative approach using secondary data, which includes academic articles, industry reports. The application and effectiveness of inventory tools such as budgeting and forecasting, ABC analysis, variance analysis, and cost-benefit analysis were investigated using analytical methods such as content analysis and comparative analysis. The results show that forecasting and budgeting allow enterprises to predict demand and control costs so that they can use their resources more efficiently. ABC analysis categorizes inventory items based on their cost and usage, and can therefore be used to manage inventory effectively by aggressively focusing resources and optimizing costs. Through variance analysis, companies can identify and detect discrepancies in budgeted inventory and actual inventory, which they use to monitor performance and minimize inefficiencies. A key aspect of cost-benefit analysis is to provide a structured approach to analyze the economic feasibility of inventory strategies, ensuring the highest return on investment. Furthermore, the study emphasizes the integration of digital tools, namely the use of AI forecasting systems and ERP, to ensure accuracy and efficiency. Examples from the retail, manufacturing and e-commerce sectors are shown where these tools are used in practice in the real sector. To this end, this work has practical significance as it has provided applied information on how businesses can confront inventory management challenges and adapt these tools according to their objectives. This work helps improve inventory practices for more efficient growth in this day of competition.
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Dmytro Arestov (2024) studied this question.
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