Building a full-stack delivery system with machine learning route optimization

This logistics startup offered next-day courier services across major North American cities. Their platform supported real-time dispatching, dynamic routing, and courier tracking, all enhanced by machine learning to optimize delivery efficiency.

Background
The client set out to disrupt urban logistics with a faster, smarter courier solution. To succeed, they needed to build an entire technology stack that could handle dispatch, routing, courier management, and real-time delivery updates all from scratch.

The challenge
Competing in same-day and next-day delivery meant the platform had to be fast, reliable, and optimized for changing urban traffic conditions. Manual dispatching was too slow and inefficient, so intelligent automation was a must.

The solution
Mission.dev assembled a full product team, including backend engineers, mobile developers, and AI specialists, to deliver the first production-ready version of the platform. Built with Python, React, Swift, TensorFlow, and AWS, the system included:

• A mobile app for couriers 
• A dispatcher dashboard 
• Customer-facing tracking interface 
• AI-powered route planning based on live traffic and delivery data 

The result was a scalable system capable of supporting thousands of same-day deliveries with minimal dispatch overhead.