Do not just measure product quality; manage it based on exposure conditions and duration.
Automatically collect temperature, humidity, and CO₂ data with Plasmon IoT; Plasmon+ makes the impact of deviations on product quality visible (quality score, remaining shelf life, operational priority).
Where Do “Silent Losses” Occur in Food Operations?
• Small temperature deviations may seem insignificant individually; when accumulated, they shorten shelf life.
• Moments such as loading–unloading, transfers, and doors left open create blind spots in the process.
• Not all products are the same: Product type and packaging condition (open product, boxed, or palletized) cause the same deviation to have a different impact on quality.
• Continuous and context-free alarms (alarm fatigue) lead teams to miss truly critical issues.
How Plasmon + Plasmon+ Works
• Measurement (Plasmon IoT): Environmental parameters such as temperature, humidity, and CO₂ are monitored in real time and securely recorded.
• Interpretation (Plasmon+): Not only whether a deviation occurred, but also its duration, frequency, and magnitude are analyzed.
• Action: Operational noise is reduced; clear intervention priorities are generated (urgent, check, no action needed).
Key Outputs for Food Operations
• Quality Score & Remaining Shelf Life (product / batch level): Quality impact based on actual exposure
• Top 10 critical locations / cabinets / rooms: Points causing the highest quality erosion
• Process step breakdown: Which stage increases impact the most—storage, loading–unloading, or logistics?
• Root cause insights for recurring deviations: Opportunities for operational improvement
• Audit-ready reports: Periodic automated reports and downloadable outputs
Typical Use Cases
Meat, Poultry, and Seafood: Cold Storage, Shipment, and Transfer Processes
Milk and Yogurt: Store Refrigerators, Warehouses, and Dispatch Holding Areas
Frozen Products: Blast Freezers, Transfer Processes, and Store Cabinets
Fresh Fruits and Vegetables: Pre-cooling, Packing, and Shipment Lines