Working capital optimization is critical for the financial sustainability and operational efficiency of manufacturing firms, where capital is heavily tied up in inventory, receivables, and supply chain cycles. Traditional static models of cash flow and inventory management often fail to capture the dynamic market forces and internal process variability that affect liquidity and profitability. As global competition and input cost volatility intensify, manufacturing leaders must adopt integrated, real-time approaches to cash flow monitoring and inventory optimization to ensure responsive financial decision-making. This paper investigates how dynamic cash flow analysis—leveraging predictive analytics, rolling forecasts, and scenario modeling—can enhance working capital visibility and control. It explores how integrating these financial models with inventory management systems enables better synchronization between production planning and liquidity planning. The study presents a framework where enterprise resource planning (ERP) systems and digital dashboards provide real-time data on inventory turnover, days sales outstanding (DSO), and days payable outstanding (DPO), facilitating agile responses to disruptions in demand or supply. The paper also analyzes best practices in inventory management, such as just-in-time (JIT), economic order quantity (EOQ), and ABC analysis, and how these strategies contribute to leaner operations and reduced working capital requirements. Through case studies of manufacturing firms implementing dynamic working capital strategies, the paper highlights measurable outcomes such as improved cash conversion cycles, minimized holding costs, and enhanced free cash flow. By narrowing the focus to data-driven financial control in manufacturing, this study provides a strategic playbook for CFOs and operations managers seeking to unlock value from working capital assets.