The Impact of Cloud-Based Enterprise Performance Management on Inventory Optimization and Financial Agility in Omnichannel Retail

The proliferation of omnichannel retail strategies has necessitated advanced technological frameworks for managing inventory and financial performance across multiple sales channels. This research investigates the impact of cloud-based Enterprise Performance Management (EPM) systems on inventory optimization and financial agility within omnichannel retail environments. Through a mixed-methods approach combining quantitative analysis of operational data from fifteen retail organizations and qualitative insights from forty-two executive interviews, this study demonstrates that cloud-based EPM implementation leads to significant improvements in inventory turnover (average increase of 23.7%), stock-out reduction (47.3% decrease), and financial forecasting accuracy (31.2% improvement). The research reveals that real-time data integration, predictive analytics capabilities, and cross-channel visibility provided by cloud EPM systems enable retailers to reduce working capital requirements by an average of 18.4% while improving customer service levels. Furthermore, the study identifies three critical success factors for cloud EPM adoption: organizational data governance maturity, cross-functional collaboration frameworks, and change management effectiveness. These findings contribute to the growing body of literature on digital transformation in retail operations and provide actionable insights for practitioners seeking to enhance operational efficiency through cloud-based performance management technologies.