ML-driven sensors calculate the core temperature of chilled products to prevent spoilage and automate food-safety compliance.
Food businesses must keep chilled goods within strict temperature limits, yet most monitoring systems only measure the air around the product, which reacts slowly and hides the real risk to quality and safety. Staff waste hours each day manually probing coolers and filling in paper HACCP logs, checks are easily missed, and a single unnoticed refrigeration failure can spoil an entire display, trigger waste, and expose the business at the next food-inspector visit.
Axino combines Swiss-made wireless sensors with patented ML/AI models to calculate the true core temperature of products from ambient measurements, without probes or contact. Each product group has its own trained model, so the system knows the real condition of yogurt, cheese, meat, or medicine rather than just the shelf air. Readings flow to the Axino.IoT cloud, which raises real-time alerts, adjusts cooler set-points, and generates automatic HACCP reports, turning reactive temperature checks into proactive, data-driven quality management.
Untrained staff magnetically attach Axino sensors inside each cooler, cold room, freezer, or delivery vehicle and plug in a single LoRaWAN gateway per store, with no IT integration required. The sensors continuously measure ambient conditions and transmit them over LoRaWAN to the Axino.IoT cloud, where per-product-group ML models compute the core temperature of the stored goods in real time. When a value drifts out of range or a cooler fails, the Axino app immediately alerts staff so they can act before products spoil. The platform logs every reading, produces automatic food-inspector and HACCP reports, and can adjust refrigeration set-points and integrate with systems such as SAP and IBM Food Trust.
Vendor documentation: vendor website
Evidence level: L1 · Vendor-stated: how evidence levels work
ML models calculate the true temperature inside products, not just the surrounding air.
Each product type has its own trained model for accurate, product-specific readings.
Magnetic wireless sensors install in about an hour by untrained staff with no IT integration.
A single gateway per store links all sensors across coolers, cold rooms, docks, and delivery vans.
The Axino app notifies staff the moment a cooler fails or drifts out of range.
Generates food-inspector and compliance reports automatically, removing manual temperature checks.
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