Microsoft Azure (Microsoft) > Case Studies > Alpega Group's Sustainable Transformation with Microsoft and Red Hat

Alpega Group's Sustainable Transformation with Microsoft and Red Hat

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Technology Category
  • Functional Applications - Transportation Management Systems (TMS)
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Cement
  • Transportation
Applicable Functions
  • Logistics & Transportation
  • Procurement
Use Cases
  • Transportation Simulation
  • Vehicle-to-Infrastructure
Services
  • System Integration
About The Customer
Alpega Group is a leading global logistics software company that offers end-to-end solutions covering all transport needs. The company works with 80,000 carriers and 200,000 members, coordinating the transportation of freight in 80 countries. At the heart of the company’s operations is Alpega TMS, a cloud-based software solution that connects manufacturers to a broad network of logistics providers, digitizing complex supply chain processes. The company’s TMS sets an industry standard, having been listed on Gartner’s Magic Quadrant for Transportation Management Systems for the past nine years. Over 500 in-house experts provide 24/7 support to Alpega’s software and services users.
The Challenge
Alpega Group, a leading global logistics software company, coordinates the transportation of freight in 80 countries, working with 80,000 carriers and 200,000 members. This complex operation relies on the company’s Transport Management System (TMS). However, the company faced challenges with system reliability and efficiency. A system failure could cause significant delays and queues, impacting logistics processes worldwide. The company needed a solution that would ensure the smooth and continuous running of its TMS, allowing it to respond to demand and scale its operations accordingly. The challenge was to implement a new container management system that would not only improve the reliability and efficiency of their operations but also help optimize freight transportation and create more sustainability within the industry.
The Solution
Alpega Group decided to implement a new container management system built on Microsoft Azure Red Hat OpenShift. This change facilitated greater agility, flexibility, and stability for Alpega’s Smart Booking system. Microsoft Azure Red Hat OpenShift is a scheduling platform that runs on top of Kubernetes, allowing businesses to manage the orchestration of containers with the support of two expert partners, Microsoft and Red Hat. This solution enabled Alpega to create a more agile, flexible, and secure TMS. The system can repair itself when something goes wrong, and it can scale to accommodate increased load. This solution has given Alpega much more flexibility, allowing them to upscale, downscale, and manage traffic effectively. The system also repairs itself, ensuring continuous operation without any visible impact on customers.
Operational Impact
  • The implementation of Microsoft Azure Red Hat OpenShift has transformed Alpega's operations, providing a more reliable and efficient system. The system's ability to repair itself ensures continuous operation, reducing the risk of significant delays and queues that could impact logistics processes worldwide. The solution has also given Alpega much more flexibility, allowing them to upscale, downscale, and manage traffic effectively. This has improved the company's ability to respond to demand and scale its operations accordingly. Furthermore, the collaboration with Microsoft and Red Hat has provided Alpega with expert support, ensuring the stability of their system. This transformation is helping Alpega to optimize freight transportation and create more sustainability within the industry.
Quantitative Benefit
  • The system can scale to accommodate increased load, improving efficiency and responsiveness.
  • The system can repair itself, reducing downtime and improving reliability.
  • The solution has facilitated greater agility, flexibility, and stability for Alpega’s Smart Booking system.

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