INTEGRATION OF BI AND ERP SYSTEMS FOR DATA-DRIVEN INVENTORY MANAGEMENT
DOI:
https://doi.org/10.32782/inclusive_economics.10-12Keywords:
inventory management, ERP system, BI system, data-driven analytics, digital transformation, Big Data, predictive analytics, demand forecasting, Machine Learning, Internet of Things (IoT)Abstract
Inventory management is a vital component of enterprise efficiency and competitiveness. However, traditional systems that rely on retrospective data and fragmented records are no longer sufficient in the face of rapid digital transformation. Limited analytical capabilities, poor integration, and delayed decisions hinder effective supply chain operations and increase operational risks. Enterprises require advanced, real-time tools that unify accounting, forecasting, and analytics. The purpose of this article is to justify the integration of ERP (Enterprise Resource Planning) and BI (Business Intelligence) systems as a foundation for data-driven inventory management. The research aims to demonstrate how ERP–BI synergy, supported by Big Data, Machine Learning, and IoT, enhances forecasting, control, and transparency across inventory processes. The methodology is based on general scientific approaches (analysis, synthesis, comparison), structural-functional assessment, and review of international and Ukrainian publications. Modeling and empirical generalization are used to identify the effects of ERP and BI implementation on inventory efficiency and decision quality. ERP systems form the digital core for inventory control, ensuring real-time data flow and automation. BI platforms enhance ERP by visualizing performance indicators, enabling demand forecasting and dynamic monitoring. Predictive analytics increases accuracy, while IoT ensures traceability and reduces disruptions. Enterprises that integrate ERP and BI systems report up to 30% cost savings, 20% improvement in forecast precision, and 15–25% boost in supply chain performance. Cloud-based ERP–BI solutions offer scalability and accessibility, particularly for small and medium-sized businesses. The digital transformation of inventory management requires a shift from static, manual methods to dynamic, data-driven models. ERP–BI integration enables continuous control, informed decision-making, and optimization of logistics processes, contributing to business resilience and strategic development in the digital economy.
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