In this issue, we take you to AZOWO NEXT Day and show you the challenges that Munich Airport, Fraunhofer, and EnBW have overcome in digitizing their mobility. Discover how AZOWO's strong partnerships have enabled it to become a modular all-in-one platform that offers exactly the functions you need. The new global search takes you directly to your destination with just a few clicks. We also invite you to join us on March 12 for the Autoflotte webinar on AI in vehicle fleets, where we will show why the right database is the key to true automation. Enjoy reading!

🔗Networking - How do others actually do it?

Insights from the panel discussion with EnBW, Fraunhofer, and Munich Airport at AZOWO NEXT Day – Part I

Why did Munich Airport introduce a digital solution?

Munich Airport manages around 2,000 motorized vehicles, ranging from two-wheelers to fire trucks. Just under 600 of these vehicles are cars and small vans, 50 of which are used as pool vehicles. In the past, these pool vehicles were booked using a kind of Outlook calendar. But the IT department was putting increasing pressure on the airport: safety precautions were no longer being observed, and a professional solution was needed. Together with the Fraunhofer Institute and Friedrich-Alexander University Erlangen, the airport set up a program to investigate campus mobility.

The key question: How can mobility on the Munich Airport campus be optimally designed? Munich Airport GmbH employs nearly 9,000 people, of whom around 3,000 are currently registered as users. The concept was developed shortly before and during the coronavirus pandemic. The analysis painted a clear picture: a large number of short trips, often with booking times of only 30 minutes to an hour. The challenge was clear: vehicles had to be made available to users at short intervals and efficiently. A car-sharing application proved to be one of the most relevant solutions for significantly improving vehicle utilization. The goal: vehicles should only be booked when they are actually used and no longer blocked for the entire day as was previously the case. All these findings were incorporated into the tender.

And what obstacles did Fraunhofer IAO face during implementation?

One major obstacle was that there were previously five separate vehicle fleets, each with its own system. Some digital systems were already in use, but the majority were still analog. The challenge was to bring everything together, simplify it, and digitize it. When it came to digitization, there were naturally questions about data protection: What happens to the telematics data? Would employees be tracked? Would routes or locations be stored? There were also challenges in terms of processes. At Fraunhofer, certain special processes have to be implemented due to legal requirements. Convincing people was definitely a hurdle. As with any change to established working methods, involving the people affected was therefore an important part of the implementation process.

🤵💡Experts - How AZOWO is becoming an all-in-one platform

Today, fleet management means more than just managing vehicles. Live vehicle data from the manufacturer, digital driver's license checks, fuel cards, charging stations, keyless access—the requirements are becoming increasingly diverse. And so is the system landscape. AZOWO brings these functions together on a central platform.

Through strong partnerships, we seamlessly integrate specialized solutions. The result: a modular all-in-one platform that adapts to your requirements. One system instead of five, one central solution instead of isolated solutions.

🧪Experience - Reach your goal even faster: Global search in the AZOWO platform

The global search in the AZOWO Mobility Cloud is the central entry point for quick access to all relevant data. With just a few clicks, you can navigate directly to license plates, users, rentals, and more. In the video, we guide you through the most important functions and show you which search options are available to you and what comes next.

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🎙Talks - AI in the vehicle fleet: AZOWO at the Autoflotte workshop on March 12

Artificial intelligence has long since arrived in the vehicle fleet: modern systems analyze driving and vehicle data, plan maintenance in advance, and support damage management through automatic image recognition. AI monitors car policies, identifies risks in driving behavior, and derives appropriate training. But all these applications have one thing in common: they need a solid database. This is exactly where we come in: on March 12, we will be part of Autoflotte's free webinar “Megatrends Fleet 2026 – AI in the Fleet.”

While other speakers will show how AI specifically helps with damage management or vehicle data, we will take a step back. We will highlight what data is actually generated in the fleet, how intelligent document management structures and records it, and how AI assistants use it to create concrete automations and sound decision-making bases. From the database to smart document management to proactive solutions. Learn how AI can really simplify your everyday fleet management.

🚗 Want more?

Experience how our all-in-one platform simplifies your daily fleet management, how you can benefit from valuable automation thanks to AI, and how others are already successfully using our platform.

👉 Your fleet is ready. Are you?