EcoFresh Predict is the only universal monitoring system for cold rooms equipped with predictive intelligence that detects the earliest signs of an anomaly.
It alerts you as soon as the first symptoms appear to reduce costly technical interventions and protects your merchandise across all your locations.
Withpredictive intelligence, continuous monitoring of temperatures and various variables detects the slightest sign of a malfunction and alerts you before it turns into a breakdown. This happens much sooner than with traditional cold room monitoring systems.
Anticipating ice buildup, leaks, or excessive energy consumption can not only help you avoid painful bills but also protect your merchandise and give you peace of mind.
So you no longer need to call in a costly refrigeration technician on the weekend or in an emergency—by which time the damage has already been done. EcoFresh Predict keeps an eye on things for you!
It's always difficult to choose an effective solution and a trusted refrigeration specialist from among the multitude of options on the market.
With EcoFresh Predict, it’s crystal clear: the system is universal, compatible with all brands, and streamlined to the utmost to meet the needs of refrigeration professionals.
In addition, it adapts to your environment to centralize multiple cold rooms in series, even across multiple sites for groups of facilities.
All this at a competitive rate that pays for itself very quickly. We don’t charge any installation fees or require any maintenance contracts, and we offer customized, tiered pricing packages.
The EcoFresh Predict ecosystem includes a intuitive web application that allows you to view all the data collected in your cold rooms in real time. It also provides reports and comparative analyses to support your various HACCP across multiple sites.
With just a few clicks, you can view the complete history of your measurements or generate the reports you need. This saves you a tremendous amount of time when preparing for your inspections AFSCA.




Cold rooms are not operating optimally
average value of goods lost in the event of a breakdown
electricity consumption for a poorly maintained cold room
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