Step 1
Logger data in
Temperature readings from IoT loggers
← Solutions Lab · Accelerator
Accelerator
QAO ColdTrack
Temperature loggers connected to alerts and a quality deviation workflow, while the shipment can still be saved.
INDUSTRY Travel, Transport & LogisticsSOLUTION FAMILY Enterprise Integration and Automation
The problem it solves
Temperature excursions in transit are usually found on delivery, when the logger is read. By then the product may be lost and the paperwork starts.
How it works
Four steps. A person decides.
Step 2
Excursion detection
Readings checked against product limits
Step 3
QA review
Assesses impact and decides action
Step 4
Deviation record
Documented and closed with evidence
What's inside
Built for the real work.
Live alerts
Excursions flagged while the shipment is moving.
Product limits
Limits set per product and route.
Deviation workflow
Assessment and decision recorded for audit.
Lane insights
Which routes and partners cause excursions.
Built with
IoT connectorEvent streamingWorkflowPythonPostgresReact
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