Features – Livestock Analytics


The cattle intensive feeding business is hard. There are many factors involved in the success or failure of a feeding operation; moreover, contrary to most industries there are many factors that are hard to control even to measure.

Acquire individual data

Livestock Analytics starts by helping you acquire individual data of your cattle. With Livestock Analytics your bookkeeping effort will be reduced and some feedlots can even go paperless. Our interfaces are easy to use and can help your operators work faster and reduce errors. Using commercial hardware, our platform helps you manage work orders in your feedlot and stream data collection at the the chute. All data is digitized and stored in our cloud-based database, including for example individual ID, ADG, yield, physical characteristics, supplier info, among others.

Web based dashboards and reports

Having data and building knowledge is only useful if it can be delivered to the people who need it, at the time that is needed, and in a way that it’s understandable to make better decisions. We achieve this by proving the user with specially designed dashboards and reports that allow them to obtain knowledge seamlessly and interact with the software to better understand what’s rendering results in their operation.

Our platform has a controlled access and can be used from anywhere at anytime with a computer and an Internet connection. All information is easy to understand and easy to access, so Livestock Analytics helps our users to improve decision making at the operational, tactical and strategical levels in each feedlot.


Many solutions in the market attempt to improve feedlot operations by focusing in specific KPIs as feed conversion and average daily gain. The problem is many of them do so with invasive and/or expensive equipment or procedures that stress the cattle and impact productivity. Livestock Analytics is designed to work without causing any additional stress to the cattle. Moreover, it helps stream data acquisition in the chute so cattle can be worked faster than usual. This way, there’s no need for extra work from your operators and the cattle can live peacefully in the pen.


Livestock Analytics is a cloud-based solution. This provides several advantages to our customers. For example, there’s no need to make huge CAPEX investments in expensive communications equipment, servers, dedicated Internet links, etc. Not having to purchase and maintain these network infrastructure, the need for specialized IT personnel is also dismissed.

Our software only needs a regular Internet connection to work, and it can be installed and operated from multiple geographical locations. All new version releases are included in the service and install seamlessly for the user. This helps our software to be always updated and avoid legacy. All the data is securely stored in state-of-the-art server farms, providing redundancy to the infrastructure and data backup.

Cost benefit sustainable solution

While there are other solutions that attempt to understand feed conversion and average daily gain of cattle in an effort to improve productivity in the feedlot, most of them rely on highly expensive equipment that push the limits of its cost-benefit ratio. Individual weights, daily weighing, RFID solutions, individual meals, among many others; provide good foundation for experimentation but unfeasible solutions for day-to-day monitoring and operations.

Livestock Analytics uses common data available from the feedlot operation; which complemented with advanced statistical modeling and artificial intelligence tools, we can proxy for the measured data given by some of this costly solutions. Livestock Analytics is leased in a Software as a Service licence which provides short positive return on investment to the customer.

Continuous improvement

Such a dynamic industry couldn’t possibly rely on static solutions. No matter how large a sample size, analyzing 1,000 or 10,000 or a 100,000 cattle anywhere in the world; wouldn’t render accurate results for ALL the feedlots and each operation’s custom characteristics. Leveraging the cloud, current software development methodologies and advanced analytics, our software is constantly evolving to keep up with the dynamics of the business.

Work even when the internet is down

The cloud is great. It provides significant advantages for a software like Livestock Analytics. Still, it can be painful when the internet is slow, intermittent or plainly missing. That’s why Livestock Analytics provides special synchronization capabilities, so you can keep working even when the internet is down in different locations. These locations include the feedlot, your office, the feed plant, the slaughter house, or any other place you deem necessary.

Improve decisions

Having good data and the analytics capacity to generate knowledge, then the sky becomes the limit to what you can do with it. Some examples of decisions you can improve using Livestock Analytics include for example:

  • Purchase only ‘good’ cattle that will perform up to your expectations and understand it’s potential from day one.
  • Understand what is rendering better results in your operation, for example, which cattle has a larger ADG in a given season, or with a given implant.
  • Find the optimal slaughter date for each cattle in your feedlot to avoid under/over feeding.
  • Improve decisions of your suppliers, vets and any other person you deem necessary; by sharing data with them.

Advanced Analytics

Having this much data provides us with lots of opportunities to implement analytics. From basic key process indicator (KPIs) monitoring, to statistical analysis, forecasting and even Artificial Intelligence. Our team of analysts work continuously to improve the analytics capabilities of Livestock Analytics so our users can make fact-based decisions with higher precision.

Analytics provides our clients with an opportunity to gain a huge competitive advantage as it has happened in most other industries. Our users are able to understand what is working and what is not working in their specific operation, considering the real genotype and phenotype of each feedlot. This way, the knowledge generated is custom for our users and not based in outdated static research done far away, in different times, with different cattle and in different circumstances.