Pod Quality: Continuous Product Life Data From Farm to Store
This introduction paper provides everything you need to know about Pod Quality, including how it works, features, and benefits.
The Problem
As produce moves from farm to store, variations happen.
The result? Changes in quality and shelf life that are largely invisible to the supply chain.
Over $35B worth of produce shrink is seen as a cost of doing business.
The culprit is time-temperature exposure, which is invisible to the naked eye until it's too late.
When it comes to quality, you can’t manage what you can’t measure.
- Cut-to-Cool Expected Time: <2 hours | Actual Time: 1-5 hours
- Cooling Expected Temp: 34°F | Actual Temp: 32-45°F
- Transit Expected Temp: 34°F | Actual Temp: 32-45°F
- Distribution Expected Shelf Life: 10 days | Actual Shelf Life: 5-10 days
The Solution
You care about the quality of your products.
Maximum shelf life and quality are key to satisfying your customers and maintaining a competitive edge.
The Pod Quality is the first sensor smart enough to translate recorded temperature conditions into continuous quality information.
Pod Quality provides you with the actionable information you need to minimize losses in the supply chain and maximize final quality of your products.
How it Works
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