MERN Stack

AI Logistics Grid

A mid-size logistics company was struggling with route planning and delivery optimization. Their dispatchers were manually planning routes each morning, which took 2-3 hours and often resulted in inefficient routes. They had no visibility into real-time delivery status, and customers complained about late deliveries.

Client
Logistics Company
Duration
9 months
Year
2023
Category
MERN Stack
Key Results
Route planning time reduced from 3 hours to 15 minutes
Fuel costs decreased by 25% through optimized routing
On-time delivery rate improved from 78% to 98%
Customer support calls decreased by 60% with real-time tracking
React Node.js Express MongoDB TensorFlow.js WebSockets Google Maps API GPS Integration
AI Logistics Grid
The Challenge

What We Were Up Against

The client faced several critical challenges that required innovative solutions.

Manual route planning took 2-3 hours daily and often created inefficient routes

No real-time tracking meant customers called constantly asking "where's my package?"

Fuel costs were rising due to inefficient routing and backtracking

On-time delivery rate was only 78%, causing customer complaints

No predictive analytics to anticipate demand or traffic patterns

Our Approach

How We Solved It

We built a MERN stack application with AI-powered route optimization. The system uses machine learning algorithms to analyze historical delivery data, traffic patterns, and weather conditions. We integrated with GPS tracking devices in delivery vehicles and built a real-time dashboard for dispatchers. The mobile app for drivers provides turn-by-turn navigation optimized for their specific route.

The Solution

What We Built

Built route optimization engine using machine learning algorithms

Created real-time tracking dashboard showing all vehicles on map

Developed mobile app for drivers with optimized navigation

Integrated GPS tracking devices for live vehicle location

Built predictive analytics to forecast delivery times

Created customer portal for real-time package tracking

Implemented automated notifications for delivery updates

Results & Impact

Measurable Outcomes

Real metrics that demonstrate the impact of our work

3

Route planning time reduced from 3 hours to 15 minutes

25%

Fuel costs decreased by 25% through optimized routing

78%

On-time delivery rate improved from 78% to 98%

60%

Customer support calls decreased by 60% with real-time tracking

30%

Driver productivity increased by 30% with better routes

Technologies & Tools

The tech stack we used to build this solution

React Node.js Express MongoDB TensorFlow.js WebSockets Google Maps API GPS Integration
"The route optimization alone has saved us thousands in fuel costs. The real-time tracking has completely changed how we operate."
Lisa Thompson
Operations Director

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