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Revolutionizing Road Transport: A Case Study on Alpega Group's Use of Stream Chat
Technology Category
- Networks & Connectivity - WiFi
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Autonomous Transport Systems
- Vehicle-to-Infrastructure
Services
- System Integration
- Testing & Certification
The Challenge
Alpega Group, a leading global logistics software company, faced the challenge of modernizing an industry deeply rooted in tradition. The company's freight exchange platforms, Teleroute and Wtransnet, needed an in-app chat solution that would appeal to a diverse user base and simplify multi-lingual communication at every step of the transport process. The company had to consider several factors such as agility, cost, performance, user experience, and infrastructure while evaluating potential chat solutions. The challenge was not only to introduce a new feature like chat but also to change the customers' habits and make chat more attractive than traditional communication methods like phone calls or emails.
About The Customer
Alpega Group is a leading global logistics software company that offers end-to-end solutions covering all transport needs, including transport management services (TMS) and freight exchanges (FX). The company has been leveraging automation and real-time tracking tools to increase transport efficiency and reduce carbon footprints for over thirty years. Alpega Group's technology has made significant advancements over the years, but the way its customers leveraged it to conduct business largely remained the same. The company's freight exchange platforms, Teleroute and Wtransnet, are part of its efforts to modernize the industry and streamline the logistics of European goods transport.
The Solution
After evaluating several chat solutions and considering the option of building a messaging functionality in-house, Alpega Group chose Stream Chat for its Freight Exchange software. Stream’s React Chat SDK offered top-notch UX and customization, and its auto-translation abilities resulted in greater transport efficiency. The decision to choose Stream Chat was based on several factors including UX, reliability, and cost. Stream Chat's affordable pricing structure and the performance of its platform, which doesn't rely on users' proximity to a regional data center, made it the most suitable solution for Alpega Group. The integration process was smooth and took only two weeks, with Stream providing a shared Slack channel for quick and efficient communication.
Operational Impact
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