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Feb 08, 2022

German Arvato Systems develops undelivered logistics

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The German company Arvato Systems is leading the "Gaia-X 4 Roms" project, which aims to create innovative vehicles for the transport of goods into the entire system - from the first mile to the last mile as a whole - to create the necessary foundation.


With the rapid development of the e-commerce field, the number of packages that need to be delivered is also increasing. As reported by Arvato Systems, this is happening in both the business-to-consumer (B2C) and business-to-business (B2B) space. Parallel to this, urbanization is an enduring trend - more and more people will live in cities in the future. According to forecasts, these two developments lead to strong growth in traffic, especially in large cities. Innovative, sustainable vehicle types and intelligent, automated fleet management could provide a remedy. Arvato Systems added that it is driving exactly this use case as part of the "Gaia-X 4 Roms" (Remote Operation of Automation and Connected Mobility Services) project.


Arvato Systems is part of the European research initiative Gaia-X, a European project that brings together people from research, business, administration, associations, and politics to make a sustainable contribution to a secure and connected data infrastructure in Europe. And "Gaia-X 4 Roms" is part of the "Gaia-X Future Mobility" project family, the purpose of which is to create the necessary foundation for the integration of innovative vehicles into the overall system.


Transport the goods as a whole to the destination


Therefore, the Arvato system is making a major contribution to the development of intelligent transportation systems to facilitate the transportation of goods and commodities. As the consortium leader of the "Gaia-X 4 Rome" project, Arvato is undertaking the conceptualization, development, and implementation of the new mobility platform, which will run until September 2024 with the participation of 18 partners from research and industry. The focus is on the first and last traffic miles in urban areas, which will be mastered with the help of so-called autonomous navigation parcel stations. In addition, data from major operations will be integrated into the overall delivery concept. With the help of real-time positioning data and arrival predictions, the protagonists want to achieve the highest utilization of driverless delivery vehicles and ensure reduced waiting and congestion times.


Specifically, end customers can communicate autonomously navigating parcel stations through the platform prior to delivery and agree on when and where the delivery will take place. According to Bernd Jaschinski-Schürmann, head of digital supply chain management at Arvato, this brings maximum flexibility and makes life easier for senders and recipients.


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