Logistics Operations Optimization
Python SQL Power BI
Project Overview
Implemented LP-based optimization to minimize transportation costs and visualized routing strategies using Power BI.
The Challenge
Identifying inefficiencies in existing workflows and handling large-scale datasets was the primary hurdle. The data was unstructured, requiring significant cleaning and normalization before analysis could begin.
The Solution
Leveraging Python for data processing and SQL for querying, we built a robust pipeline. Power BI was utilized to visualize the results, providing stakeholders with real-time insights.