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Proactive Livestock Health Monitoring for a National Dairy Cooperative

Proactive Livestock Health Monitoring for a National Dairy Cooperative

IoT wearables and AI-driven health prediction across large-scale cattle operations
Infoloop enabled a national dairy cooperative to shift from reactive treatment to proactive herd health management using IoT wearables and AI analytics to prevent disease, reduce costs, and improve milk productivity at scale.

Client Overview

A national dairy producers’ cooperative managing 250,000+ cattle across 300+ affiliated farms. The cooperative supplies over 400 million liters of milk annually to domestic and export markets and required a scalable way to monitor herd health and prevent production losses caused by undetected illness.

The Challenge

As operations scaled, herd health monitoring became increasingly reactive and inefficient.

  • Delayed illness detection led to 15-20% milk yield loss in affected cattle
  • Manual health checks consumed significant labor time and produced inconsistent data
  • Rising veterinary costs, driven by reactive treatment, added $2.1M annually
  • Fragmented health records made it difficult to track animal history and detect patterns

The cooperative needed a real-time, centralized health monitoring system capable of predicting illness early and supporting preventive care across geographically distributed farms.

Our Solution

A cross-functional Infoloop team delivered the platform across hardware, software, and analytics layers, without disrupting day-to-day farm operations.

IoT Wearable Integration

Durable, GPS-enabled wearables equipped with temperature, heart rate, and activity sensors, designed for harsh outdoor conditions and extended battery life of up to 18 months.

Farmer & Cooperative Applications

A mobile app for farmers providing real-time health status, alerts, and vaccination reminders, alongside a web dashboard for cooperative administrators to monitor herd-wide trends and manage health programs.

AI Health Prediction Engine

Machine learning models trained on five years of historical veterinary data to identify behavioral deviations and predict potential illness 48-72 hours in advance.

Real-Time Data & Veterinary Coordination

Continuous data synchronization from wearables to the cloud, automated alerts via SMS and notifications, and in-app veterinary booking with integrated medicine logistics.

Technologies Applied

The Outcome

The platform delivered measurable operational, financial, and welfare improvements:

  • 95% of major disease outbreaks prevented during the pilot phase
  • 12% increase in milk yield across monitored herds
  • $1.4M reduction in annual veterinary costs after full deployment
  • 80% reduction in disease-related milk yield losses
  • 20,000+ labor hours saved annually by eliminating manual health checks
  • 88% farmer app adoption within the first four months

The cooperative transitioned to a preventive, data-driven health model, improving productivity, reducing costs, and strengthening farmer confidence and animal welfare standards.

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