Cold Chain Risk Simulator

Upload temperature logger data (CSV) or use built-in sample data to detect excursions, drift, cyclical patterns, and data quality issues — and receive a prioritised risk score with root cause suggestions.

1. Load Temperature Data

Upload CSV file

Click to browse CSV file

Requires: timestamp + temperature columns

Or use sample data

72-hour simulated cold room dataset (2–8°C). 288 readings at 15-minute intervals, including genuine excursions, defrost cycles, and door-opening spikes.

2. Configure Analysis