Tuned for the realities of the ice‑cream cold chain
Detect anomalies early, explain them fast, and trigger the right fix
Real‑time telemetry and early‑excursion detection
Continuously ingests temperature, door, location, and compressor data across plants, DCs, and transport. Flags excursions and thermal drift at minute‑level granularity and estimates time‑to‑softening per lane, asset, and lot.
SKU‑aware analytics and root‑cause intelligence
Models tuned to ice‑cream thermal profiles detect meltback risks by SKU and batch. Correlates anomalies with routes, pack‑outs, setpoints, and door events to pinpoint why it happened and what to fix first.
Predictive alerts and automated response
Proactive alerts before product softens, with playbooks that recommend re‑icing, setpoint changes, or asset swaps. Auto‑generate HACCP‑ready logs and CAPA tasks; integrate with TMS/WMS, email, SMS, and Slack for rapid escalation.
Simple Pricing
Flexible pricing to match any budget or team size.
Starting at
30‑day risk‑free pilot for up to 3 locations (hardware included). Cancel anytime.
Designed for ice‑cream cold chains
- AI anomaly detection tailored to ice cream: melt/refreeze signatures, compressor drift, door‑ajar, power loss
- Real‑time alerts via SMS/email/Slack with on‑call escalation and quiet hours
- Predictive risk scoring for routes and handoffs (reefer, cross‑dock, store delivery)
- Unified dashboards for DC, in‑transit, and store cases with map and case‑level views
- Automated HACCP/FSMA audit trails and temperature certificates
- Quality Degradation Index to flag micro‑crystal risk from freeze‑thaw cycles
- Integrations with major telematics/BMS platforms; REST API and webhooks
- Data retention: 12 months; exports to CSV/S3; scheduled reports
- Role‑based access control, SSO-ready, and full audit logging
- Onboarding concierge, 24×5 support, and quarterly ROI reviews
Frequently asked questions
Protect every pint—before, during, and after transit
Connect your existing loggers and telematics—no rip‑and‑replace. Start detecting anomalies in hours with predictive risk scoring, noise‑free alerts, and auto‑generated compliance and claim reports.