Client

15-Min Grocery Delivery App Q-Commerce / Last-Mile Delivery

Challenge

Project Overview : The client was scaling rapidly but lacked a real-time logistics backend, causing missed delivery slots and inefficient dispatching. I was brought in to modernize their dispatch and tracking system to support hyperlocal delivery logistics.

Solution

My Role : Led end-to-end architecture and backend dev for a microservices-based fleet orchestration platform. Emphasis was on low-latency routing, real-time visibility, and asynchronous traffic prediction. Tech Stack : Django, FastAPI, Redis, Celery, MongoDB.

Results Achieved

Reduced missed delivery windows by 35%, Optimized courier utilization, boosting delivery capacity by 55, Lowered per-delivery cost by 20% through dynamic rerouting

Client Feedback

We gained Uber-level routing with a fraction of the cost. Your system’s real-time responsiveness is a game-changer.

Looking for AI-driven solutions for your business?

Scroll to Top