Reimagining Pharma’s reactive supply chain

For life sciences companies, a single truckload can carry $15 to $30 million in value. One temperature or theft excursion can put all of it at risk.

Life sciences and pharma supply chains carry a kind of risk most industries never have to think about. Cold chain shipments require strict temperature, humidity, and handling controls from origin to patient, and a single lapse can compromise a batch worth tens of millions of dollars. Add in thousands of SKUs and a regulatory environment with little room for error, and tracking alone stops being enough.

project44 connects 282,000 carriers and tracks 1.5 billion-plus shipments a year, with ETAs accurate within a 15-minute window 95% of the time. For life sciences and pharma shippers, that means catching a cold chain exception while there’s still time to act. It’s the difference between protecting a batch and losing one. project44’s agents detect the exception, assess the risk, and trigger a response automatically, cutting manual coordination by 70% for teams that run it today.

Trusted by over 1,000 global brands including top life sciences and pharma healthcare leaders including: Alcon, AstraZeneca, McKesson, ResMed, Teva, and more.

Why this matters:

• High-value shipments: a single truckload can carry $15 to $30 million in product.
• Complex inventory: pharma shippers manage thousands of SKUs across global networks.
• Strict controls: cold chain shipments demand continuous temperature, humidity, and handling compliance, with no margin for error.

Event:

Join Eric Fullerton, VP of Corporate Communications at project44, and Vishal Ringwala, project44’s Life Sciences Evangelist, for a conversation on what it actually takes to move pharma logistics from reactive to proactive. Scott Cleland, Sr. Solutions Engineer, closes it out with a live demo built around pharma use cases, catching a cold chain exception before it puts a batch at risk.

Agenda:

• Why an industry built on precision still runs on reactive supply chains
• Where AI earns its place in a regulated environment, and where a person still has to decide
• Live demo: catching a cold chain exception before it puts a batch at risk
• Live Q&A: ask your questions