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LOADING OPTIMIZATION SOFTWARE

Industry

#logistics-supplychain

Business Value

#transport-management
#load-planning

Tech

#data-visualization
#progressive-web-platform
#optimization-algorithm

Context

The project unfolds within the logistics and supply chain domain, where technological advancements are providing companies with opportunities to embark on digital transformation initiatives aimed at enhancing their business processes. From managing transportation and warehouses to overseeing the entire production chain, digital solutions have become indispensable for improving process efficiency and effectiveness.

Our client is a global leader with extensive experience in supply chain management. They provide innovative solutions and products designed to optimize the handling and transportation of goods, thereby promoting efficiency and sustainability within the supply chain.

Challenge

The customer's primary challenges revolve around maximizing product availability, minimizing handling operations, and reducing unnecessary mileage.

To address these challenges, they required a system to optimize the space utilization for goods, both within loading and transport units, as well as on vertical displays. 

Specifically, their need was for a software solution that would assist operators in planning and positioning products on pallets and displays, with the goal of minimizing space wastage and optimizing goods handling.

Solution

We developed a progressive web app capable of simulating the distribution of products within a three-dimensional space to calculate and display the most efficient arrangement.

The application takes input data, including the type and dimensions of the loading unit, product dimensions, and any additional information needed for vertical optimization of displays. It then provides a list of positioning options along with comparison indicators such as usage index, number of products, and weight. These solutions are presented in multiple formats.

 

The software is powered by a dedicated optimization algorithm developed specifically for this purpose.

Value

  • Improved processing times for loading lists

  • Reduced handling time and cost

  • Decreased transport time and cost

  • Standardization of loading procedures

  • Enhanced information exchange

  • Improved readability of loading documentation

Tech

The following technologies were used:

  • Ionic Framework 2

  • Typescript

  • Fabric.js

  • Microsoft Azure Single Sign-On

  • MariaDB

Project details

Team: Project Manager, Business Analyst, Front-end Developer, Back-end Developer 
Methodology: Scrum
Duration: 4 months

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