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Device management

Device management

Remotely manage, and protect laptops and mobile devices.

Orchestration

Orchestration

Automate tasks across devices, from app installs to scripts.

Software management

Software management

Inventory, patch, and manage installed software.

GitOps

Infrastructure as code

See every change, undo any error, repeat every success.

Extend Fleet

Extend Fleet

Integrate your favorite tools with Fleet.

Customers Pricing
More A small chevron

GitOps for device management

In-person workshop for beginners.

Join us
Docs

Docs

Guides

Guides

Support

Support

News

News

Get your license

Get your license

The handbook

The handbook

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Scaling agritech with lake-to-plate visibility

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Irena Reedy

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Scaling agritech with lake-to-plate visibility

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Last updated on | The author's GitHub profile picture

Irena Reedy

Scaling agritech with "lake-to-plate" visibility

The fastest-growing vertically integrated tilapia producer in sub-Saharan Africa, operating a complex, carbon-negative supply chain across Kenya and Rwanda, required a management stack to bridge the gap between centralized corporate offices and remote, rural branches.

At a glance

  • Endpoints: 273 (Desktops, laptops, mobile, and specialized logistics hardware).
  • Primary requirement: Unified cross-platform support with scalable remote enrollment.
  • Key integrations: Inventory systems and predictive analytics platforms.
  • Previous solution: Manual tracking (Excel) and fragmented legacy systems.

The challenge: manual fragmentation in rural regions

Before adopting Fleet, they relied heavily on manual data entry and Excel to track a growing fleet. This created massive "blind spots" in rural Homa Bay and Western Kenya, where remote laptops and mobile devices were difficult to monitor. Without real-time visibility, maintaining the security and health of the technology powering their cold-chain logistics was an uphill battle.

The solution: a "one-stop" consolidated platform

They integrated Fleet as a cornerstone of their digital transformation. They required a solution that offered low-code configuration—allowing tech teams to manage the fleet independently—and the transparency to align with international compliance standards. By moving away from "black box" proprietary tools, they gained a single binary to manage everything from hatchery systems to retail branch hardware.

The results: 100% elimination of manual data entry

  • Supply chain integrity: By streaming telemetry into predictive analytics platforms, the team ensures the technology powering their 36-hour delivery window stays functional, maintaining less than 1% spoilage.
  • Operational efficiency: The transition achieved a 100% reduction in manual data entry for key asset management tasks, freeing IT staff to focus on high-impact innovations like drone logistics.
  • Automated asset tracking: Using Fleet’s API, the team synced device data directly with warehouse inventory systems, ensuring that critical cold-chain hardware is always accounted for across 89 branches.
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