What KPIs Do Livestock Management Companies Track Using KPI Software?

1. Herd Health:
   • Mortality Rate: Monitoring the percentage of animals that die within a specified period.
   • Disease Incidence: Tracking the occurrence of diseases within the herd.
2. Reproductive Performance:
   • Calving or Birthing Rate: Calculating the number of live births within the herd.
   • Conception Rate: Measuring the percentage of successfully inseminated females that become pregnant.
3. Feed Efficiency:
   • Feed Conversion Ratio (FCR): Assessing how efficiently livestock convert feed into body weight.
   • Average Daily Gain (ADG): Monitoring the weight gained by animals per day.
4. Animal Weight and Growth:
   • Average Weight: Tracking the average weight of animals in the herd.
   • Weight Gain Percentage: Monitoring the growth rate of animals over a specific period.
5. Cost of Production:
   • Cost per Head: Calculating the cost associated with raising each animal.
   • Cost of Feed per Unit of Weight Gain: Evaluating the efficiency of feed utilization in relation to weight gain.
6. Labor Efficiency:
   • Labor Hours per Animal: Measuring the amount of labor required for the care of each animal.
   • Labor Productivity: Assessing the efficiency of labor in relation to the size of the herd.
7. Animal Welfare:
   • Behavioral Indicators: Observing and assessing animal behavior for signs of stress, discomfort, or illness.
   • Facility Conditions: Monitoring the state of facilities to ensure they meet animal welfare standards.
8. Inventory Management:
   • Stocking Density: Evaluating the number of animals per unit of space in a facility.
   • Inventory Turnover: Assessing how quickly animals are sold or moved through the production cycle.
9. Genetic Performance:
   • Genetic Selection Index: Utilizing genetic data to select animals that contribute positively to desired traits.
   • Breeding Efficiency: Measuring the success of breeding programs in achieving desired genetic outcomes.
10. Water Usage Efficiency:
    • Water Consumption per Animal: Monitoring the amount of water consumed by each animal.
    • Water Quality: Ensuring the availability of clean and safe drinking water for livestock.
11. Environmental Impact:
    • Carbon Footprint: Assessing the greenhouse gas emissions associated with livestock production.
    • Waste Management Efficiency: Monitoring the management of manure and waste.
12. Downtime and Maintenance:
    • Equipment Downtime: Tracking the time equipment is out of service for maintenance or repairs.
    • Preventive Maintenance Completion Rate: Ensuring timely completion of scheduled maintenance tasks.

How a Livestock Management Company Uses InetSoft’s Serverless KPI Software

In the evolving landscape of agritech, data-driven decision-making has become a necessity for livestock management companies aiming to increase operational efficiency, animal health outcomes, and profitability. One company, PrairieLivestock Management, has transformed its data operations using InetSoft’s serverless KPI dashboard and analytics platform, StyleBI. By leveraging the flexibility and scalability of StyleBI, the company now gains real-time insights across its operations, aligning its IT, animal health, and operations teams under a unified, actionable data strategy.

The Data Challenge in Livestock Management

PrairieLivestock manages multiple feedlots and pasture operations, handling thousands of cattle across various locations. Before StyleBI, its data was fragmented across on-premises ERP systems, Excel files for veterinary health tracking, and handwritten logs for feeding schedules and weight monitoring. This fragmented approach limited the ability of IT and operations teams to create timely reports and made it difficult to measure key performance indicators (KPIs) such as feed conversion ratios, daily weight gain, and animal health events.

Their IT department was under pressure to deliver consolidated dashboards for operational staff and management, enabling insights on feed costs, mortality rates, breeding success, and antibiotic usage. However, the existing reporting systems were too slow, and heavy server maintenance consumed IT resources that could have been used for data analysis and improvement projects.

Why PrairieLivestock Chose InetSoft’s Serverless StyleBI

StyleBI’s serverless architecture allowed PrairieLivestock’s IT department to deploy advanced dashboard capabilities without managing the complexities of server provisioning and maintenance. The app’s lightweight, API-driven architecture integrated seamlessly with PrairieLivestock’s cloud-based databases and IoT sensors used in monitoring animal health and feeding patterns.

The serverless environment provided:

• Rapid scalability for seasonal demand fluctuations in livestock operations.
• Reduced infrastructure management costs for IT.
• Seamless integration with Azure SQL and AWS IoT data streams.

Key KPIs Tracked with StyleBI

Using StyleBI, PrairieLivestock built dashboards to track and visualize critical KPIs:

• Feed Conversion Ratio (FCR): Measures the efficiency of converting feed mass into increased body mass.
• Average Daily Gain (ADG): Tracks the daily weight increase of livestock, ensuring animals meet market weight on time.
• Mortality Rate: Monitors deaths in herds to identify potential health or environmental issues quickly.
• Breeding Success Rate: Tracks breeding attempts against successful pregnancies, enabling better herd management.
• Antibiotic Usage: Measures antibiotic administration across herds, essential for compliance with regulations and responsible usage goals.
• Water and Feed Consumption per Head: Tracks consumption trends, helping identify anomalies that might indicate disease or environmental stressors.

StyleBI dashboards allow drill-down capabilities on these KPIs, so managers can view data by location, breed, age group, and time period.

Dashboards and Reports Built with StyleBI

PrairieLivestock’s IT team built a range of dashboards for different operational needs:

1. Herd Health Dashboard

This dashboard includes charts displaying:

• Weekly mortality rates across sites with conditional color formatting for thresholds.
• Scatter plots of antibiotic usage versus mortality rates to identify correlations.
• Bar charts showing disease incident trends by breed and age group.

The dashboard refreshes every 15 minutes, using serverless API connections to IoT-enabled RFID tag systems that track animal health and movement.

2. Feeding Efficiency Dashboard

This dashboard features:

• Line charts tracking feed conversion ratios and ADG over time.
• Pie charts showing the distribution of feed types across locations.
• Gauge charts to monitor current FCR against target benchmarks.

These visuals help feedlot managers adjust feeding strategies promptly to optimize feed costs while maintaining animal health.

3. Breeding and Reproduction Dashboard

PrairieLivestock uses this dashboard to visualize:

• Breeding attempts vs. confirmed pregnancies per cycle.
• Line charts tracking calving rates by season and location.
• Heat maps identifying breeding success rates by sire and dam.

These insights enable the livestock operations team to optimize breeding schedules, select high-performing genetics, and reduce costs associated with failed breeding cycles.

4. Compliance and Sustainability Dashboard

With increasing regulatory pressures on antibiotic usage and environmental sustainability, PrairieLivestock created a compliance dashboard that:

• Tracks antibiotic administration volumes and withdrawal periods for compliance.
• Displays water consumption per head, identifying opportunities for conservation.
• Monitors feed sourcing data for compliance with sustainability standards.

This dashboard aids regulatory reporting and stakeholder transparency.

Benefits Realized by IT and Operations

By using InetSoft’s serverless StyleBI:

• PrairieLivestock reduced its report generation time from days to real-time interactive dashboards.
• IT reduced server maintenance overhead, focusing on enhancing data quality and building predictive analytics capabilities.
• Operations teams gained real-time visibility into herd health, feeding efficiency, and breeding metrics, enabling faster and more informed decision-making.
• Executives could view high-level KPI scorecards while having the ability to drill down for granular operational insights.

Predictive Analytics Integration

The IT team is expanding StyleBI usage by integrating predictive models:

• Machine learning algorithms forecasting weight gain based on feed intake and environmental data.
• Early warning systems for disease outbreaks using anomaly detection on water and feed consumption patterns.
• Predictive models for breeding success rates based on historical genetic and environmental data.

These models output predictions directly into StyleBI dashboards, where conditional color formatting alerts managers to potential issues requiring immediate attention.

How StyleBI’s Serverless Architecture Enables Scalability

PrairieLivestock benefits from the serverless architecture by scaling analytics during seasonal peaks such as calving and weaning periods without IT intervention. With StyleBI, new data sources (such as additional sensors or ERP modules) can be connected without downtime or heavy configuration work. This scalability aligns perfectly with PrairieLivestock’s growth strategy as it acquires new ranches and expands operations.