Dairy producer Riverina Fresh is using Rayven’s real-time AI and IoT platform to support the adoption of a predictive and preventative maintenance regime for its key machinery.
Riverina Fresh‘s adoption of Rayven‘s platform as part of a predictive maintenance program has resulted in increased uptime, output, and utilisation.
“We were introduced to Rayven by Bridge Hub, the agrifood tech innovation hub. We collaborated with Rayven to help develop their product for some of our older equipment, bringing it into the 21st century,” said Riverina Fresh CEO Rob Collier.
“This was achieved for a relatively low cost and without the need to replace existing equipment. This is an example of modernising a manufacturing business without having to outlay significant capital expenditure.”
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Riverina Fresh’s older equipment did not support real-time oversight and optimisation, but engineering management realised production could be improved if real-time data and new efficiency metrics were available.
The company selected Rayven’s IoT platform due to its ability to integrate seamlessly with existing infrastructure, as well as its customisable real-time calculations and dashboards.
The results included increased run-time and throughput, and Riverina Fresh sees opportunities for additional gains from improved changeover between products and reduced downtime.
“Improving uptime, productivity and reducing waste is a key goal within agribusiness and food production,” explained Collier.
“A lot of businesses are operating with old, outdated technology that needs modernising and we wanted to explore what IoT technology could do to help us with our digital transformation.”
Rayven CCO Paul Berkovic said “Rayven is an industrial AI and IoT platform, designed to be hyper-flexible and quick-to-deploy so that businesses can take advantage of their real-time data by better monitoring, managing and optimising their assets and operations.
“We collaborated with the team at Riverina Fresh to come up with a solution that would integrate seamlessly with their operations and existing machinery, retrofitting sensors and technologies without disrupting what they do. Our speed to deployment, simplicity of use and the platform’s ability to easily integrate with existing infrastructure and be customised to provide the metrics needed made us a great fit.”
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