E-Commerce Shipping Analysis

An analytical project focused on optimizing shipping routes and reducing delivery times for an e-commerce platform.

problem

Inefficient shipping routes were causing delivery delays and increasing operational costs. Customer satisfaction was declining due to unpredictable delivery times.

approach

Analyzed historical shipping data spanning 2 years to identify bottlenecks and patterns. Created a route optimization algorithm using graph-based methods and time-series forecasting for demand prediction.

outcome

Reduced average shipping time by 1.5 days. Cut logistics costs by 12% through optimized routing. Improved on-time delivery rate from 78% to 94%.