Case Study

Autonomous Vehicle Management Application for Smart Livestock Operations

T&S modernised a real-time autonomous vehicle management platform (.NET 8, Azure IoT, SignalR, Angular) for cattle feeding operations at a major French AgTech manufacturer.

Launch Date
June 14, 2026
Expertises / sectors
AgTech & Agriculture
IT, Cloud & Systems
Client
Confidential - French AgTech equipment manufacturer (5,500+ employees)
Technology and tools
.NET 8; Azure IoT Hub; Azure Services; Angular; SignalR; SQL Server; Agile
Project

As agriculture accelerates its digital transformation, equipment manufacturers are investing in connected and autonomous technologies to improve operational efficiency, machine supervision and livestock management. A major French agricultural equipment company partnered with T&S to modernise an autonomous vehicle management platform used for cattle feeding operations, giving operators a more reliable, responsive and scalable application to supervise autonomous machines and agricultural robots in real time across desktop and mobile.

Client context

The client is a leading French AgTech organisation specialising in agricultural equipment and smart farming technologies, with more than 5,500 employees worldwide. As autonomous feeding systems became strategic for productivity, the organisation needed to strengthen its digital ecosystem to ensure reliable supervision, connectivity and machine management.

Business challenges

  • Recover and stabilise the existing application environment
  • Develop new features for autonomous vehicle management
  • Enable real-time data synchronisation between connected systems and machines
  • Modernise responsive web interfaces for desktop and mobile usage
  • Improve scalability and maintainability of the application architecture

The T&S solution

T&S supported the recovery, enhancement and modernisation of the autonomous vehicle management platform. The teams implemented new functionalities while improving the architecture and stability of the solution, with a major focus on real-time communication through a SignalR-based data and connection framework enabling efficient synchronisation between machines, systems and operators. T&S also redesigned and enriched several web and responsive interfaces so users could supervise agricultural robots and autonomous feeding equipment seamlessly across devices. Delivery followed an Agile approach enabling continuous collaboration and rapid iteration.

Technologies & expertise

  • .NET 8
  • Azure IoT Hub
  • Azure Services
  • Angular
  • SignalR
  • SQL Server
  • Agile

Results & business value

  • Improved operational supervision of autonomous machines
  • Enhanced real-time communication and data synchronisation
  • Better user experience across desktop and mobile devices
  • Increased application scalability and maintainability
  • Faster access to operational information for field teams
  • A stronger digital foundation for future AgTech initiatives

Conclusion

By modernising the application architecture and improving responsiveness, T&S helped the client reinforce its position in the smart-agriculture ecosystem. The project illustrates T&S's ability to deliver connected, scalable and business-oriented digital platforms supporting the next generation of smart farming and livestock automation.

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