What it does
Submit your packaging thermal spec, product temperature requirement, and shipping route. The Thermal Stress Predictor models the temperature performance over the journey time, identifies the weakest point in the route, and recommends the liner upgrade or dry ice addition needed to maintain compliance.
Example use case
A pharma brand ships 2-8°C products from the UK to Sweden in July with 38mm polyurethane foam liner. The predictor calculates breach risk at hour 14 and recommends adding 1kg gel packs or upgrading to VIP liner — with cost delta from PackIndex FOAM prices.
Frequently asked questions
What thermal specs can I input?
R-value, liner thickness and material type (EPS, polyurethane, VIP), or product name for estimated R-value.
Does it use real weather data?
It uses seasonal temperature benchmarks for standard shipping routes — not live weather.
Can I test multiple routes?
Yes — paste a list of routes and the agent evaluates each.
Related searches
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Run Thermal Stress Predictor on PACKIQ
4 credits per run · Grounded in live PackIndex data · Result in under 2 minutes
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