Purpose-built for Ice Cream

FrostGuard AI Cold-Chain Anomaly Detection for Ice Cream

Detect, predict, and prevent temperature excursions across your cold chain. Real-time alerts, root-cause insights, and automated reports cut waste, protect quality, and prove compliance. Integrates with data loggers, reefer telematics, and WMS in days.

Built for ice cream’s tight thermal tolerance

From real-time detection to automated response

Sub-minute drift detection + ETA-to-excursion

Continuously tracks core and ambient sensors across trucks, DCs, and store freezers. Flags drift before it becomes an excursion and predicts time-to-excursion so teams can act early—without alert noise.

Explainable root-cause analysis

Correlates door opens, compressor cycles, defrost events, hot loads, and route delays to pinpoint the most likely cause. Clear evidence trails and confidence scores support audits and faster fixes.

Automated playbooks and CAPA

One-tap SOPs for rerouting, moving to backup freezers, or setpoint adjustments. Notifies the right role, logs an immutable audit trail, and auto-generates CAPA-ready reports for compliance.

Frequently asked questions

Never ship a softened scoop again.

Plug in quickly, monitor continuously, and act instantly. Get AI-powered anomaly detection, route risk scores, and audit-ready reports to reduce write-offs and protect every pint.