AI-powered logistics management and optimization

Challenge

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.

Solution

Crunch team of 4–8 developers has been working on the solution for 1 year. 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.

The most important features of the solution include real-time GPS tracking of vehicles, automatic generation of optimal routes with regard to load capacities, multiple time windows, cross-docking, and other indicators, as well as 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.