Datosbi

📊 Neste artigo analisamos as estratégias para gerar eficientes no setor de comércio eletrônico, logística e/ou transporte.

Você conhecerá diversas visualizações interativas que desenvolvemos na DATOSBI para identificar o potencial de diversos negócios e gerar um processo de tomada de decisão lucrativo e eficaz.

👉 Link do artigo: https://lnkd.in/d8kFMcdg

🚚 How at DATOSBI do we analyze delivery route optimization in Python?

In this analysis, we will explore the impact of hub locations on delivery routing systems. We'll delve into key components, routing strategies, and how different hub locations influence delivery efficiency.

By using Python and Kepler.gl, in this workbook we have entered the field of effective last mile delivery. This tutorial is intended for both logistics enthusiasts and business owners who want to optimize their delivery process.

Google Map, Map Box, Python: Python route optimization for last mile delivery (with Kepler gl Map)

Goals:
1. Kepler GL Package Configuration
2. Kepler GL Points
3. Kepler GL Linstring
4. Applying the route optimization algorithm in Python and using Kepler.gl to visualize delivery routes
5. Parameter optimization for best results
6. Practical implementation experiences

This dashboard was created by our lead consultant Jaime Gaspar.

Optimize your delivery routes with us to save money, increase customer satisfaction and save time. Don't miss the opportunity to improve your logistics skills! 🚛

👉 Do you want to know more about this dashboard and how we can implement it in your business?
Contact us in: https://datosbi.com/en/free-advice/

▶ See our DEMO in YouTube: https://youtu.be/RLXK8uN2CnM?si=say5BumBWHcOq8qv

DATOSBI: Route Optimization for Last Mile Delivery with Python and Kepler GL By using Python and Kepler.gl, in this workbook we have entered the field of effective last mile delivery. This tutorial is intended for both logistics enthu...