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Chil-D-Care Module Catalog

IoT Real-time

Real-Time Thermal Monitor

IoT sensors and centralized control panel

The real-time monitoring module integrates IoT sensors in vehicles and warehouses, transmitting data every 30 seconds. The centralized panel displays heat maps, visual alerts, and historical trends. Operators can detect thermal deviations instantly and take corrective actions before the cargo deteriorates. Compatible with fleets of up to 500 units.

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ML Predictive

Predictive Rupture Alerts

Machine learning to anticipate cold chain failures

Using machine learning algorithms trained on historical temperature, humidity, and equipment performance data, the system generates predictive alerts up to 2 hours in advance. Fleet managers receive notifications on the mobile app and can reschedule routes or activate backup equipment. Alert accuracy exceeds 92% in field tests conducted on routes along the Buenos Aires–Córdoba corridor.

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Reports Regulations

Fleet Analytics and Regulatory Reports

Regulatory compliance and operational cost optimization

The analytics module consolidates data from all trips into customizable dashboards. It generates automatic reports in PDF and Excel formats to comply with SENASA regulations and HACCP standards. Includes energy efficiency indicators per vehicle, cost per refrigerated kilometer, and monthly comparisons. Reports are sent by email to quality and logistics managers without manual intervention.

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Recommended Readings

Articles and technical resources on cold chain monitoring.

Technology
Real-Time Thermal Monitor

IoT sensors and centralized control panel to visualize temperature at every point in the cold chain.

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Artificial Intelligence
Predictive Break Alerts

Machine learning to anticipate thermal failures up to 2 hours in advance on Buenos Aires–Córdoba corridor routes.

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Regulations
Fleet Analytics and Regulatory Reports

Automated reports to comply with SENASA and HACCP, plus energy efficiency indicators per vehicle.

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