This project aims to develop a Business Intelligence platform that analyzes logistics and supply chain data to optimize delivery routes, warehouse utilization, and shipment efficiency. The system will provide predictive insights and performance dashboards to support operational planning and cost reduction strategies.
Collect logistics datasets including shipment records, delivery times, transportation costs, and warehouse data.
Perform data preprocessing to handle missing, duplicate, and inconsistent entries.
Design a dimensional data warehouse schema for supply chain analytics.
Implement ETL processes to load structured data into a BI platform.
Develop dashboards visualizing KPIs such as on-time delivery rate, fuel costs, route efficiency, and warehouse capacity utilization.
Apply optimization or regression techniques to predict delivery delays and cost variations.
Create geographic visualizations to analyze transportation routes and regional performance.
Implement drill-through reports for shipment-level insights.
Compare planned versus actual delivery metrics to identify inefficiencies.
Evaluate performance improvements through scenario-based simulations.
Document system architecture, analytical models, and business recommendations for logistics enhancement.
