Measuring Up – Thinking Out Loud

From Data Loggers to Predictive Cold Chains: The Evolution of Pharmaceutical Logistics with Jonathan Friesen

• Bill White • Season 1 • Episode 11

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0:00 | 17:49

Episode Summary 

The future of cold-chain monitoring isn't just knowing what happened. It's predicting what is likely to happen—and acting before it does.

In this episode of the Testo Information Network podcast, host Bill White speaks with Jonathan Friesen, a pharmaceutical cold-chain logistics consultant and former Swiss WorldCargo and IATA specialist. They explore the evolution of temperature monitoring from passive data loggers to real-time IoT systems, the lessons learned from COVID-19 vaccine distribution, global GDP requirements, and the growing role of AI in predicting and preventing cold-chain risks. The conversation also examines how temperature mapping, continuous monitoring and automated alerts can help pharmaceutical organizations protect product integrity from manufacturing through final delivery. 

The conversation also compares air, road and sea transportation. Friesen notes that road transportation generally has fewer restrictions on monitoring technology, and many European trucking companies have already integrated IoT systems into trucks and containers to monitor internal temperatures.

Friesen identifies artificial intelligence as the next major development.

The industry is accumulating enormous amounts of temperature, humidity, location and other sensor data. Much of that information, he says, is essentially sitting on hard drives around the world. AI could transform that historical data into predictive analysis.

Instead of simply identifying that a temperature excursion occurred, AI could identify patterns, anticipate risks and help companies mitigate problems before they occur.

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