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White paper1 min read

From real-time data to real intelligence: How AI is reshaping the pharmaceutical cold chain

Why AI in the pharma cold chain is only as good as the validated data under it, three use cases that work today, and where to start. Drawn from the conversation between Controlant and GSK at LogiPharma EU 2026.

Cover of the Controlant white paper From real-time data to real intelligence: How AI is reshaping the pharmaceutical cold chain, with its executive summary page

Pharmaceutical cold chains have moved from passive temperature loggers to real-time devices, and the data they now produce is enough for artificial intelligence to work on. This white paper takes the next question: how to turn that data into decisions. It draws on the conversation between Gísli Herjólfsson, CEO of Controlant, and Saddam Huq, Director of Cold Chain and Logistics at GSK, at LogiPharma EU on 15 April 2026.

What the paper covers

  • How a decade of real-time monitoring changed what supply chain teams can see, and why more dashboards made decisions harder, not easier.
  • Why AI is only as good as the data under it: validated, described with enough context to reason about, and framed as recommendations rather than charts.
  • Three use cases: a lane risk assessment that updates with every shipment, a daily risk brief for shipments in disrupted regions, and packaging that can be downgraded or upgraded lane by lane from years of data.
  • What holds pharma back, which is validation and change control, and three steps to start: treat AI as decision support, invest in data quality first, and begin with one narrow, high-value use case.

Two articles draw on it: Six first moves for AI in the pharma cold chain and From dashboards to dialogue: why AI is replacing the supply chain control tower.

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