We forcast and account for the weather in our ice predictions, so you don't under ice in a heat wave or over ice through the winter.
Our predictions are specific to each of your routes, so you save money in the New England winter and safely ship in the Texas summer.
Our algorithms are tailored to your specific SKUs, so you're shipping the right amount of coolant for each of your products.
Our algorithms learn from real world data - not simulations. We ship temperature logging post cards with your products, and use the data to learn how your products and packaging performs in the wild.
We provide an API that outputs coolant predictions based on tracking numbers and SKU information. We will work with you to conveniently integrate into your existing operations.
Lower your “warm on arrival” error rate. Improve your customer experience and increase long term customer value.
Lower your logistics and material costs by being more precise about the amount of coolant put in each package.
A veteran of the food ecom and packaging space, Patrick has a decade of experience working at HelloFresh, TemperPack and McMaster-Carr. He holds a B.A. in Economics from Northwestern University and an MBA from The Tuck School of Business at Dartmouth.
Rick is a software engineer with a decade of experience building algorithms and data pipelines at Microsoft, Automatic Labs, and SiriusXM. He holds a B.E. in Electrical Engineering from Duke University.