E-commerce Logistics Analysis
The Challenge
The logistics operations suffered from fragmented, manually entered data. It was impossible to accurately track supply chain performance, identify profit leaks, or understand the root causes of product returns without a unified data model.
The Execution
- Data Modeling: Consolidated and structured over 1.28 million in sales records from various manual entries into a clean, relational dataset.
- Analysis: Utilized Advanced Excel and Power BI to build an interactive operations dashboard.
- KPI Tracking: Monitored critical metrics such as delivery times, fulfillment rates, and return percentages.
Business Impact
- Insight Discovery: Successfully identified a 17.6% return rate as a major, hidden profit leak.
- Process Optimization: Provided actionable recommendations that allowed the supply chain team to address bottlenecks directly, improving overall logistics efficiency.