Fleet provisioning enables automated setup, configuration, and management of multiple devices and software instances at scale. It allows organizations to deploy updates, manage configurations, and control device fleets across distributed environments.
edge systems, and software applications. Fleet provisioning is used to improve operational efficiency, speed up deployments, and maintain reliability across large device infrastructures.
Fleet provisioning enables automated deployment, configuration, and management of devices and software across distributed environments. It allows organizations to manage large-scale device fleets efficiently while maintaining consistency and control.
IoT device fleet management
Manage and configure large numbers of connected devices, ensuring consistent setup and centralized control.
Robot fleet management
Coordinate and monitor robotic systems across multiple locations, supporting real-time operations and performance consistency. When combined with a control stack, fleet provisioning enables precise execution, system coordination, and intelligent decision-making in robotic environments.
👉 Learn more about the control stack module.
Remote software deployment and updates
Fleet provisioning supports remote software updates, configuration changes, and security management, ensuring systems remain up to date and reliable.
Edge and distributed system management
Control and maintain systems operating across multiple locations, including edge environments and on-site infrastructure.
Scalable system rollouts
Quickly deploy and scale new devices or applications without disrupting existing operations.
Fleet provisioning is used in enterprise environments to manage large-scale deployments of devices, robots, and software systems. It enables automated configuration, centralized control, and scalable infrastructure management across distributed environments.
Fleet scale-up
Rapidly deploy and configure large numbers of devices or robots, ensuring consistent setup and readiness across all units.
👉 Explore the Control Stack module.
Predictive maintenance
Monitor system data and detect patterns to identify potential failures early, reducing downtime and improving system reliability.
Cloud-based fleet management
Use cloud infrastructure to manage, monitor, and update devices remotely, enabling centralized control and flexible scaling.
Remote monitoring and control
Track system performance in real time and manage devices across multiple locations without on-site intervention.
Scalable IoT and robotics deployments
Support the growth of IoT and robotic systems by enabling efficient expansion without disrupting ongoing operations.
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Related case study
Coco
Coco is a leading robotic delivery service that deploys remotely piloted sidewalk vehicles to make last-mile deliveries more affordable, reliable, and sustainable.
With xBerry’s support and collaboration, Coco has achieved significant improvements in the reliability and performance of their onboard software stack.
Maddie Robot
Maddie is a conceptual robot designed to perform mosaic household tasks – from bringing water from the fridge to vacuuming and arranging a phone call.
Using several advanced techniques, from complex image and data processing to expansion algorithms, we built an innovative prototype that allowed us to move into the future of fully functional household robots.
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