An electronics manufacturing firm improved warehousing efficiency by implementing a Power BI dashboard to address key operational challenges. The company lacked real-time visibility into warehouse activities, making it difficult to track inventory levels, detect bottlenecks, and optimize workflows. Manual inventory management caused inaccuracies, frequent stockouts, overstocking, and higher carrying costs. Inaccurate demand forecasting further led to poor inventory balance and inefficient resource allocation. The absence of a structured performance tracking system limited continuous monitoring and improvement. By adopting data-driven analytics through Power BI, the firm aimed to gain real-time insights, streamline inventory management, improve forecasting accuracy, and establish effective

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