Artificial Intelligence
for Dairy Processors

OEE is the measure of the performance of assets against their future potential. It estimates production capacity – specifically physical materials, time, and physical assets – by measuring the usage of manufacturing resources to indicate the gap between the real and intended performance.

Zira leverages power meters and power measurements to identify and quantify conditions that cause the unavailability of equipment.

Energy is one of the top costs of running a dairy, with 50% of that cost going into chillers and air compressors. Zira leverages AI and machine learning to collect, analyze and drive action from data acquired from existing and newly installed sensors placed strategically within the dairy processing facilities.

We are not talking about process waste, we are talking about waste due to inefficiencies and low quality. Zira combines Analyzed power data and employee engagement data to identify operational inefficiencies that hinder yield and quality, and helps take action in real time.

Running efficiently means running without interruptions minimizing idle setup times and unplanned maintenance recoveries. This also means minimizing idle energy waste and identifying problems before they become problems.

Identifying saftey issues and assuring compliance involves manual processes that are deployed by the staff. Zira helps automatically prioritize and share safety issues for faster fixes, identify hotspots by aggregating information on milk processing by employee, department or team. You can also use Zira to set goals and measure performance against industry benchmarks or your own performance.