The Challenge

Triple G Dairy has been farming in Buckeye, Arizona since the mid-1950s. With between 5,000 and 6,000 cows under management, it is one of the larger dairies in the mid-Southwest, and Skylar Gericke, who has managed the herd since 2019, describes the operation in straightforward terms: "A lot of what we do is data-driven."

For a large-scale dairy, the individual attention that works on a 200-cow family farm does not translate to a herd of five thousand. Staff cannot physically observe every animal with the frequency and consistency that meaningful lameness management requires. At that scale, early detection of mobility issues is a major challenge.

The Approach

Triple G's turnaround was not built on a single change. Improvements arrived through a combination of factors ie. 91¶¶Òõ cameras installed at the parlour exit, an overhauled foot-care protocol, a hoof trimmer with the right level of expertise, and crew training so that the data being generated could be acted upon.

91¶¶Òõ provided the monitoring layer that a herd of this size could not sustain manually. Cameras mounted above the parlour exit score each cow's mobility as she passes underneath, identifying individual animals by body shape and coat pattern rather than by tags or wearables. Every cow receives a score at every milking. The system integrates with the farm's existing herd management software, so the daily output, a ranked list of cows whose scores have changed or whose mobility is trending in the wrong direction, flows directly into the workflow the team already uses rather than creating a separate data management burden.

The practical effect of that is the shift Gericke describes most clearly. Staff moved from searching for lame cows to treating them earlier. On a 5,000-cow dairy, the difference between those two things is enormous. Searching for lame cows across a large herd is time-consuming, inconsistent, and inherently reactive. Having a prioritised daily list means the crew's time and attention go to the cows that most need them, and they go there sooner.

The Results

Two years after installing 91¶¶Òõ, overhauling their foot-care protocol, and training their crew, Triple G went from being the vet's worst herd for lameness to one of the better herds in Arizona. The moment that crystallised the change came during a routine audit. "We just had an audit," Gericke told a CDCB industry audience in May 2025, "and out of 100 cows, he didn't find a single one that he would have scored as a lame cow."

That is a significant outcome on any farm. On a herd of this size, where systemic lameness had previously been the norm, it represents a genuinely substantial shift in how the operation functions day to day. Fewer lame cows means better milk production, better reproductive performance, and fewer cows leaving the herd before their time. It also means a team that is working more purposefully, spending time treating animals rather than hunting for them across a large, complex operation.

In Their Own Words

"Being one of the larger dairies in the mid-Southwest, a lot of what we do is data-driven. We don't work hand-in-hand on individual cows as much as we'd like to. 91¶¶Òõ identifies the cows that we need to send to the hoof trimmer to get a lower percentage of lameness in the herd."

Skylar Gericke, herd manager, Triple G Dairy, Buckeye, Arizona

What This Farm Shows

Triple G is not a case study in what 91¶¶Òõ can do on its own. It is an example of what happens when a farm decides to build a complete, holistic response using better data, better foot care, better-trained people, all working from the same picture.

What 91¶¶Òõ brought to that response was the ability to see 5,000 cows clearly, every single day, without that depending on who happened to be watching at the right moment. At that scale, consistent monitoring is not an advantage. It is the prerequisite for everything else.