Factory-to-Customer Shipping Route Efficiency Analysis
Authors/Creators
Description
This project presents a data-driven Streamlit dashboard for analyzing factory-to-customer shipping efficiency for Nassau Candy Distributor. It evaluates shipping lead times, route performance, delays, geographic bottlenecks, shipping-mode performance, and order-level trends using 10,194 shipment records and 8,549 unique orders.
The project includes data cleaning and validation, product-to-factory mapping, route benchmarking, a normalized Route Efficiency Score, geographic analysis, shipping-mode comparison, interactive filtering, and route-level drill-down.
The supplied dataset produces unusually large observed shipping intervals, averaging 1,320.8 days. These values are preserved transparently and flagged for validation before being interpreted as actual physical transit times.
Author: Shambhavi Srivastavv
Role: Intern ML Engineer
Organization: Unified Mentor Pvt. Ltd.
Files
Files
(122.4 kB)
| Name | Size | |
|---|---|---|
|
md5:200170af61572fb013d9b5a081e7b5d9
|
122.4 kB | Download |