Logistics
AI

AI-powered logistics management

Read how we've contributed to the development of proprietary algorithms for solving logistics and transportation issues.

About the client

The main goal of the customer — a global provider of supply chain optimization solutions for various industries — was to support and enhance their existing platform for all logistics and transportation activities.

AI-powered logistics management

Project Overview

Crunch team of 4–8 developers has been working on the solution for 2 years. The solution represents a dynamic supply chain platform that consists of three parts:

Web App for Managers:

for enabling supply chain visibility, selecting carriers, optimizing delivery and loading plans, as well as collecting and analyzing data using business intelligence dashboards.

Mobile App for Deliverers:

for creating tasks and monitoring delivery in real-time, improving customer service, and ensuring transparency through tracking each stage of the delivery process.

Mobile App for Clients:

for placing orders and tracking delivery status.

Solution

The solution is designed to enhance logistics operations by offering advanced tools that streamline route planning, optimize inventory management, and improve overall efficiency. Key features of the system include:

Real-time GPS tracking of vehicles

Automatic generation of optimal routes:

Load capacities, multiple time windows, cross-docking, and other indicators

Inventory management

We have contributed to the development of proprietary algorithms for solving many logistics problems. For example, to solve a vehicle routing problem, we have created a flexible algorithm that considers more than 30 conditions like weight volume capacities and time windows to create the most efficient transportation plan dynamically. To improve 3D loading and inventory routing, we have devised an algorithm for allocating orders to vehicles, optimizing length, width, and height, as well as visualizing the shipment in a 3D interface. Inventory routing reduces the number of stockouts and helps save distribution cost.

Results

As a result of continuous improvements and performance optimization, the solution enabled clients to create efficient transportation plans, reduce logistics costs, maximize vehicle productivity, and optimize profit in every shipment.

PROJECT INFO

Location

Germany

Team Size

6 engineers

Team Location

Ukraine

Technologies

PHP, Laravel

Database

Cassandra

Web Server

Nginx

DevOps

GitHub, Docker, Ansible, Microsoft Azure

Other technologies

Groovy, Heap, Amazon SNS, EC2, Route53, CloudFront

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