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A European Manufacturing Enterprise

IoT-Driven Platform for Real-Time Cargo Management

Client: Logistics IT Solutions Provider

Full-Stack Development

Expertise:

Tech Stack:

Cloud Infrastructure

Java

Python

AWS

Angular

MySQL

IoT Integration

Machine Learning

Azure

The client operates in logistics IT across four countries, focusing on supply chain optimization and shipment tracking. Due to various market disruptions, including the pandemic and geopolitical tensions, the client needed a digital solution to enhance delivery efficiency, reduce errors, and automate daily logistics processes.

About the Client:

The client partnered with Omeglab to build a cloud-based IoT platform capable of tracking cargo movement in real time. The project spanned from initial concept to a complete working platform, incorporating data collection, real-time analysis, predictive insights, and automation. The platform’s goal was to enable faster and safer deliveries, optimize fleet performance, and minimize operational costs.

Project Overview

Supply Chain Disruptions: Geopolitical tensions, weather conditions, and unforeseen market shifts required dynamic and flexible software solutions for managing the delivery chain.
Manual Workloads & Errors: Existing manual document processes led to frequent errors and delays.
Data-Driven Insights & Cost Prediction: Need for tools to provide accurate forecasts of delivery costs and optimize route planning.

Challenges & Objectives

Solution Implementation

Initiating & Discovery Phase

The project began with requirement gathering, team assembly, and establishing communication protocols. Omeglab’s team analyzed the client’s business needs, market trends, and technical requirements to ensure the solution was tailored effectively.

Planning & Design Phase

A structured approach to risk management, detailed project milestones, and a timeline were developed. Agile methodology (Scrum framework) was chosen for flexible iteration and testing. UI/UX design was crafted to deliver intuitive navigation and easy access to complex data.

Development Phase

Backend Architecture: Cloud-based infrastructure was built using AWS to ensure scalability and secure data storage.
IoT Integration: Real-time data was captured from sensors attached to cargo, providing updates on location, temperature, and shipment status.
AI & Machine Learning: Predictive analytics modules were developed using Python to estimate delivery times, costs, and suggest optimal routes.
Automation & Control: Custom-built automation tools reduced manual workflows, speeding up tasks like inventory checks, order processing, and shipment document generation.

Testing & Quality Assurance

Continuous integration and automated testing ensured that the platform was stable, secure, and reliable. Omeglab’s team tested the solution under various conditions to ensure it met both performance and security standards.

Deployment & Support

Upon project completion, the platform was deployed seamlessly, with code transfer and training provided to ensure the client's team could operate and maintain the system. Support channels were established for any real-time issue resolution.

Platform Features & Benefits

Real-Time Cargo Tracking
GPS-enabled tracking for shipments, providing updates on location, conditions, and estimated delivery times.

Automated Document Workflow
Automated generation and management of shipment documents, leading to significant time savings and fewer human errors.

Advanced Predictive Analytics
Machine learning algorithms for route optimization, cost prediction, and efficient fleet utilization.

Comprehensive Dashboards
Interactive dashboards displaying KPIs, performance metrics, and logistics trends to facilitate data-driven decision-making.

30% Faster Delivery Process: The platform reduced average delivery times by offering optimized routes and real-time shipment tracking.
3x Fewer Errors: Automation significantly decreased manual errors in shipment documentation and handling.
50% Less Time Spent on Routine Tasks: Employees were freed from repetitive manual work, allowing for greater productivity and operational efficiency.
Improved 24/7 Support: Real-time data accessibility enabled quicker issue resolution, ensuring smoother logistics operations.

Outcomes & Business Impact

Platform Features & Benefits

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